Browse 12,955 Workflows

By Gegenfeld

AI Background Removal Workflow This workflow automatically removes backgrounds from images stored in Airtable using the APImage API 🡥, then downloads and saves the processed images to Google Drive. Perfect for batch processing product photos, portraits, or any images that need clean, transparent backgrounds. The source (Airtable) and the storage (Google Drive) can be changed to any service or database you want/use. 🧩 Nodes Overview 1. Remove Background (Manual Trigger) This manual trigger starts the background removal process when clicked. Customization Options: Replace with Schedule Trigger for automatic daily/weekly processing Replace with Webhook Trigger to start via API calls Replace with File Trigger to process when new files are added 2. Get a Record (Airtable) Retrieves media files from your Airtable "Creatives Library" database. Connects to the "Media Files" table in your Airtable base Fetches records containing image thumbnails for processing Returns all matching records with their thumbnail URLs and metadata Required Airtable Structure: Table with image/attachment field (currently expects "Thumbnail" field) Optional fields: File Name, Media Type, Upload Date, File Size Customization Options: Replace with Google Sheets, Notion, or any database node Add filters to process only specific records Change to different tables with image URLs 3. Code (JavaScript Processing) Processes Airtable records and prepares thumbnail data for background removal. Extracts thumbnail URLs from each record Chooses best quality thumbnail (large > full > original) Creates clean filenames by removing special characters Adds processing metadata and timestamps Key Features: // Selects best thumbnail quality if (thumbnail.thumbnails?.large?.url) { thumbnailUrl = thumbnail.thumbnails.large.url; } // Creates clean filename cleanFileName: (record.fields['File Name'] || 'unknown') .replace(//g, '_') .toLowerCase() Easy Customization for Different Databases: Product Database**: Change field mappings to 'Product Name', 'SKU', 'Category' Portfolio Database**: Use 'Project Name', 'Client', 'Tags' Employee Database**: Use 'Full Name', 'Department', 'Position' 4. Split Out Converts the array of thumbnails into individual items for parallel processing. Enables processing multiple images simultaneously Each item contains all thumbnail metadata for downstream nodes 5. APImage API (HTTP Request) Calls the APImage service to remove backgrounds from images. API Endpoint: POST https://apimage.org/api/ai-remove-background Request Configuration: Header**: Authorization: Bearer YOUR_API_KEY Body**: image_url: {{ $json.originalThumbnailUrl }} ✅ Setup Required: Replace YOUR_API_KEY with your actual API key Get your key from APImage Dashboard 🡥 6. Download (HTTP Request) Downloads the processed image from APImage's servers using the returned URL. Fetches the background-removed image file Prepares image data for upload to storage 7. Upload File (Google Drive) Saves processed images to your Google Drive in a "bg_removal" folder. Customization Options: Replace with Dropbox, OneDrive, AWS S3, or FTP upload Create date-based folder structures Use dynamic filenames with metadata Upload to multiple destinations simultaneously ✨ How To Get Started Set up APImage API: Double-click the APImage API node Replace YOUR_API_KEY with your actual API key Keep the Bearer prefix Configure Airtable: Ensure your Airtable has a table with image attachments Update field names in the Code node if different from defaults Test the workflow: Click the Remove Background trigger node Verify images are processed and uploaded successfully 🔗 Get your API Key 🡥 🔧 How to Customize Input Customization (Left Section) Replace the Airtable integration with any data source containing image URLs: Google Sheets** with product catalogs Notion** databases with image galleries Webhooks** from external systems File system** monitoring for new uploads Database** queries for image records Output Customization (Right Section) Modify where processed images are stored: Multiple Storage**: Upload to Google Drive + Dropbox simultaneously Database Updates**: Update original records with processed image URLs Email/Slack**: Send processed images via communication tools Website Integration**: Upload directly to WordPress, Shopify, etc. Processing Customization Batch Processing**: Limit concurrent API calls Quality Control**: Add image validation before/after processing Format Conversion**: Use Sharp node for resizing or format changes Metadata Preservation**: Extract and maintain EXIF data 📋 Workflow Connections Remove Background → Get a Record → Code → Split Out → APImage API → Download → Upload File 🎯 Perfect For E-commerce**: Batch process product photos for clean, professional listings Marketing Teams**: Remove backgrounds from brand assets and imagery Photographers**: Automate background removal for portrait sessions Content Creators**: Prepare images for presentations and social media Design Agencies**: Streamline asset preparation workflows 📚 Resources APImage API Documentation 🡥 Airtable API Reference 🡥 n8n Documentation 🡥 ⚡ Processing Speed: Handles multiple images in parallel for fast batch processing 🔒 Secure: API keys stored safely in n8n credentials 🔄 Reliable: Built-in error handling and retry mechanisms. An n8n automation workflow template by Gegenfeld.

By Rosh Ragel

What It Does This workflow automatically connects to the Square API and generates a daily sales summary report for all your Square locations. The report matches the figures displayed in Square Dashboard > Reports > Sales Summary. It's designed to run daily and pull the previous day's sales into a Google Sheet for easy analysis and reporting. This workflow builds on my previous template, which allows users to automatically pull data from the Square API into N8N for processing. (See here: https://n8n.io/workflows/6358) Prerequisites To use this workflow, you'll need: A Square API credential (configured as a Header Auth credential) A Google Sheets credential How to Set Up Square Credentials: Go to Credentials > Create New Choose Header Auth Set the Name to "Authorization" Set the Value to your Square Access Token (e.g., Bearer <your-api-key>) How It Works Trigger – The workflow runs daily at 4:00 AM Fetch Locations – An HTTP request retrieves all Square locations linked to your account Fetch Orders – For each location, an HTTP request pulls completed orders for the specified report_date Filter Empty Locations – Locations with no sales are ignored Aggregate Sales Data – A Code node processes the order data and produces a summary identical to Square’s Sales Summary report Append to Google Sheets – The data will automatically be appended to an existing Google sheet Example Use Cases Automatically store daily sales data in Google Sheets for analysis and historical tracking Automatically create charts or visualizations from the imported data Build weekly/monthly reports after running for multiple days Quickly calculate commissions or rent payments based on sales volume How to Use Configure both HTTP Request nodes to use your Square API credential Set the workflow to Active so it runs automatically Select the Google Sheet you want to import data into, and map the data to your columns Customization Options Add pagination to handle locations with more than 1,000 orders per day Expand the workflow to save or send the report output via other integrations (email, database, webhook, etc.) Why It's Useful This workflow saves time, reduces manual report pulling from Square, and enables smarter automation around sales data—whether for operations, finance, or performance monitoring. An n8n automation workflow template by Rosh Ragel.

By Hichul

This workflow is an autonomous AI research assistant that transforms a single topic into a comprehensive, multi-chapter report. Designed for researchers, students, and content creators, it automates the entire process from planning and online research to writing, formatting, and delivering a final PDF report directly to your email. How it works Trigger: The workflow begins when a user submits a research topic and an email address through a form. AI Planning: An AI agent breaks the main topic into five focused subtopics. It then generates an engaging report title, a detailed introduction, and chapter headings, saving this initial structure to a Google Sheet. Parallel Research and Writing: The workflow then splits into five parallel paths, one for each subtopic. In each path, it uses the Tavily Search API to gather real-time information from the web. A dedicated AI writer then synthesizes this research into a complete, well-formatted HTML chapter with inline citations. Content Aggregation: As each chapter is completed, its content, sources, and section titles are saved to the central Google Sheet. Final Assembly and Delivery: Once all chapters are written, the workflow compiles the title, introduction, a newly generated table of contents, all chapters, and a complete list of sources into a single HTML document. This document is sent to APITemplate.io to be converted into a professionally formatted PDF, which is then emailed as an attachment to the address provided in the form. Set up steps Google Sheets: Make a copy of the provided Google Sheet Template. Connect your Google account in the credentials menu. Update all Google Sheets nodes to use your copied sheet by selecting it from the list. AI Language Model (Google Gemini): Sign up for an API key from the Google AI Platform. Connect your account in the Google Gemini Chat Model nodes. This template is pre-configured for the affordable gemini-pro-flash-lite model. Tavily Search API: Sign up for a free account at Tavily and get an API key. In the Tavily HTTP Request nodes, create a new Header Auth credential. For the Name, enter X-Tavily-API-Key and for the Value, paste your Tavily API key. APITemplate.io: Sign up for a free account at APITemplate.io and get an API key. Connect your account in the Generate PDF node's credentials. Gmail: Connect the Gmail account you want to send the final report from in the Send Report node's credentials. An n8n automation workflow template by Hichul.

By AlexAutomates

Auto-Categorize Outlook Emails with AI in n8n How It Works Trigger: The workflow starts with the Microsoft Outlook Trigger node, polling your inbox every minute for new emails. Extract & Clean Email Content: The email’s key fields (from, subject, isRead, body) are extracted. The body is converted from HTML to Markdown, then sanitized to plain text for reliable AI processing. Node Setup Details: Microsoft Outlook Trigger Resource: Message Operation: Trigger on new email Fields to Output: from, subject, isRead(optional), body Folders to Include: (Set to your Inbox or specific folder IDs) Markdown Node Input: {{$json"body"}} (HTML email body) Output Key: Email Body Markdown Purpose: Converts HTML to Markdown for easier downstream processing. Sanitize Node (Code Node) Input: Email Body Markdown from previous node Purpose: Cleans up Markdown, strips images, links, HTML tags, table formatting, and truncates to 4000 characters. Sample JS Code: // Get the markdown content from the previous node const markdownContent = $input.item.json["Email Body Markdown"]; Setup AI tools Move message and Get Folders Outlook tools are required, get contacts is optional. Set each field in the tools to "defined automatically by the model" and describe each field so the model understands how to use it. OpenRouter or other LLM models tool: You can use any client for this, but make sure to use a model that does well with tool calls (Claude, GPT-4.1, Gemini 2.5 Pro, etc.). Best Practices & Notes AI Prompt Engineering:** The AI is instructed to be conservative—never move emails from real people or saved contacts, and always explain its reasoning if it doesn’t move a message. This automation only works for NEW incoming messages. Inbox Zero:** This system is designed to help you achieve and maintain Inbox Zero by keeping only actionable items in your main inbox. Customization:** You can adjust the folder logic, add more categories, or tweak the AI prompt for your specific needs. Privacy:** All processing happens within your n8n instance; no email data is stored outside your environment except for the AI call (which only receives sanitized, minimal content). An n8n automation workflow template by AlexAutomates.

By SpaGreen Creative

WhatsApp AI HelpDesk – Smart SupportBot Using Trained Data & WasenderAPI Overview This n8n workflow enables automated AI-driven support replies via your personal WhatsApp number using WasenderAPI.com. The bot intelligently responds to user messages based on trained data stored in Google Sheets, helping you avoid the high cost of WhatsApp Business API. What It Does Reads real-time data from a connected Google Sheet Sends AI-generated responses based on predefined training data Automatically applies rate limits to avoid account blocking Updates each contact's support status after responding Who’s It For This workflow is ideal for: Freelancers and small businesses offering support through WhatsApp Customer service teams seeking to automate common queries Entrepreneurs looking to deploy a cost-effective support assistant SaaS founders managing WhatsApp inquiries without expensive API costs Prerequisites Make sure the following components are ready: An active WhatsApp account (Personal or Business) WasenderAPI subscription (around $6/month) OpenAI API access (around $20/month) n8n instance (self-hosted or cloud) Google Sheets API connected to n8n A training sheet like this sample: https://docs.google.com/spreadsheets/d/1Ui4TzzI-Gq-bsEsrZELwW1Kyddw0IU9L1wxlHikktqw/edit?usp=sharing Setup Instructions 1. Connect WasenderAPI Add your WhatsApp session to WasenderAPI In n8n, create a Webhook node Copy the webhook URL and paste it into your WasenderAPI session settings 2. Connect OpenAI Add an OpenAI node in n8n Authenticate using your OpenAI credentials Configure the prompt to reference the data from your Google Sheet 3. Connect Google Sheets Add a Google Sheets node Authenticate using your Google account Select the appropriate Spreadsheet and Worksheet Format your sheet similarly to the sample template above How to Customize the Workflow To tailor the workflow to your business needs: Update the training data** in your Google Sheet to include your own FAQs, product info, or customer scripts Adjust prompt instructions** in the OpenAI node to change the tone, style, or behavior of the response Add filtering logic** using IF or SWITCH nodes to categorize and route different types of messages Integrate CRM or ticketing systems** via additional HTTP or database nodes Set custom response delay** or batching using WAIT or LIMIT nodes to control the load Support & Community Need help setting up or customizing the workflow? Reach out here: WhatsApp: Chat with Support Discord: Join SpaGreen Server Facebook Group: SpaGreen Community Website: SpaGreen Creative Envato: SpaGreen Portfolio. An n8n automation workflow template by SpaGreen Creative.

By LukaszB

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. VEO3 VSL Generator & Facebook Auto-Publisher What this workflow does This n8n workflow automates the full process of creating a short-form Video Sales Letter (VSL) using Google VEO3, adding captions via Creatomate, and publishing the final video directly to a Facebook Page. It's designed for creators, ecommerce brands, and marketers who want to generate and publish high-converting videos without video editing, manual uploads, or third-party tools. Technologies used Google Vertex AI (VEO3) – for AI-generated video generation Creatomate – for dynamic captioning Google Cloud Storage – for video hosting (public access) Upload Post – for direct video publishing OpenAI (optional) – for script generation n8n – as the automation engine Required inputs The workflow starts from a form and expects: Product Name – the product or offer to promote Product Image – a visual representation of the product Optional: Prompt override – custom prompt text if you want to bypass the AI script generation Output One AI-generated vertical video (9:16), rendered via VEO3 Captions applied automatically via Creatomate Final video posted to your connected Facebook Page File stored in Google Cloud Storage with public access Documentation This template includes full step-by-step setup instructions: Setting up JWT credentials for Google VEO3 Configuring a public GCS bucket Creating and connecting a Creatomate API key Generating a long-lived Facebook Page token Connecting credentials inside n8n Editing the form, caption templates, and upload destination Notes on maintenance, quota limits, and API behavior Customization This workflow is modular and easy to adapt. You can: Replace the form trigger with Google Sheets, Airtable, or webhook Swap Facebook with Instagram, LinkedIn, or Telegram Modify prompt structure, voice, visual style, or caption format Summary Just submit a product name and image via form — and get a ready-to-publish VSL on your Facebook Page. Fast, automated, and fully editable. An n8n automation workflow template by LukaszB.

By vinci-king-01

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works This workflow automatically monitors competitor prices, analyzes market demand, and optimizes product pricing in real-time for maximum profitability using advanced AI algorithms. Key Steps Hourly Trigger - Runs automatically every hour for real-time price optimization and competitive response. Multi-Platform Competitor Monitoring - Uses AI-powered scrapers to track prices from Amazon, Best Buy, Walmart, and Target. Market Demand Analysis - Analyzes Google Trends data to understand search volume trends and seasonal patterns. Customer Sentiment Analysis - Reviews customer feedback to assess price sensitivity and value perception. AI Pricing Optimization - Calculates optimal prices using weighted factors including competitor positioning, demand indicators, and inventory levels. Automated Price Updates - Directly updates e-commerce platform prices when significant opportunities are identified. Comprehensive Analytics - Logs all pricing decisions and revenue projections to Google Sheets for performance tracking. Set up steps Setup time: 15-20 minutes Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for AI-powered competitor and market analysis. Set up e-commerce API connection - Connect your e-commerce platform API for automated price updates. Configure Google Sheets - Set up Google Sheets connections for pricing history and revenue analytics logging. Set up Slack notifications - Connect your Slack workspace for real-time pricing alerts and team updates. Customize product catalog - Modify the product configuration with your actual products, costs, and pricing constraints. Adjust monitoring frequency - Change the trigger timing based on your business needs (hourly, daily, etc.). Configure competitor platforms - Update competitor URLs and selectors for your target market. What you get Real-time price optimization** with 15-25% potential revenue increase through intelligent pricing Competitive intelligence** with automated monitoring of major e-commerce platforms Market demand insights** with seasonal and trend-based pricing adjustments Customer sentiment analysis** to understand price sensitivity and value perception Automated price updates** when significant opportunities are identified (>2% change, >70% confidence) Comprehensive analytics** with pricing history, revenue projections, and performance tracking Team notifications** with detailed market analysis and pricing recommendations Margin protection** with intelligent constraints to maintain profitability. An n8n automation workflow template by vinci-king-01.

By Marth - Business Automation

⚙️ How It Works This workflow automates the repetitive task of invoicing, turning a manual process into an efficient, hands-free operation. ✅ Trigger The workflow is automatically activated when a new row is added or updated in your Google Sheet with the status Ready for Invoice. 🧾 Create Invoice The workflow sends project data to your invoicing service (e.g., Invoice Ninja) using an HTTP Request node to generate a professional invoice. 📧 Send Email The generated invoice is attached to an email and sent to the client using the Gmail node. 📝 Update Status Finally, the workflow updates the Status field in Google Sheet to Invoiced, marking the process complete and recorded. 🛠️ How to Set Up 1. Install the Workflow Copy the provided workflow JSON. In your n8n instance, go to Workflows > New. Click Import from JSON and paste the JSON. Save the workflow. 2. Prepare Your Google Sheet Create a Google Sheet to act as your project database. It must include the following columns: Ensure the data is accurate and matches your workflow expressions. 3. Configure Credentials 🟡 Google Sheets Trigger & Update Node Add your Google Sheets OAuth2 credentials. In both the trigger node and update node, select: Correct Spreadsheet ID Correct Sheet Name 🔵 HTTP Request Node (Invoice API) Add your API Key (e.g., from Invoice Ninja) in the request URL. Adjust: The URL endpoint The JSON body Based on your invoicing service’s API documentation. 🔴 Gmail Node Add your Gmail OAuth2 credentials. 4. Customize the Workflow 🔧 HTTP Request Node Replace YOUR_INVOICE_NINJA_API_KEY with your real API key. Ensure expressions like {{ $json['Client Email'] }} match the exact column headers in your Google Sheet. 💌 Gmail Node Customize: From Email Subject Email body (HTML or text) Tailor the content to match your brand and tone. 5. Activate the Workflow Once everything is configured: Click the Inactive toggle (top-right) to activate the workflow. Now your invoicing process is fully automated!. An n8n automation workflow template by Marth - Business Automation.

By Hichul

n8n workflow template description [template] This workflow automatically drafts replies to your emails using an OpenAI Assistant, streamlining your inbox management. It's designed for support teams, sales professionals, or anyone looking to accelerate their email response process by leveraging AI to create context-aware draft replies in Gmail. How it works The workflow runs on a schedule (every minute) to check for emails with a specific label in your Gmail account. It takes the content of the newest email in a thread and sends it to your designated OpenAI Assistant for processing. A draft reply is generated by the AI assistant. This AI-generated reply is then added as a draft to the original email thread in Gmail. Finally, the initial trigger label is removed from the email thread to prevent it from being processed again. Set up steps Connect your accounts: You'll need to connect your Gmail and OpenAI accounts in the respective nodes. Configure the trigger: In the "Get threads with specific labels" Gmail node, specify the label that you want to use to trigger the workflow (e.g., generate-reply). Any email you apply this label to will be processed. Select your OpenAI Assistant: In the "Ask OpenAI Assistant" node, choose the pre-configured Assistant you want to use for generating replies. Configure label removal: In the "Remove AI label from email" Gmail node, ensure the same trigger label is selected to be removed after the draft has been successfully created. Activate the workflow: Save and activate the workflow to begin automating your email replies. An n8n automation workflow template by Hichul.

By vinci-king-01

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works This workflow automatically monitors trending topics across multiple platforms and generates content strategy insights for marketing teams. Key Steps Daily Trigger - Runs automatically every 24 hours to capture fresh trends and viral content. Multi-Platform Scraping - Uses AI-powered scrapers to analyze trends from LinkedIn, Twitter, Instagram, Google Trends, BuzzSumo, and Reddit. Trend Analysis - Processes collected data to identify viral patterns, engagement metrics, and content opportunities. Content Strategy Generation - Creates actionable insights for content planning and social media strategy. Team Notifications - Sends comprehensive reports to Slack and updates content calendars in Google Sheets. Set up steps Setup time: 10-15 minutes Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for AI-powered trend scraping. Set up Slack connection - Connect your Slack workspace for team notifications. Configure Google Sheets - Set up a Google Sheets connection for content calendar updates. Customize target industries - Modify the configuration to focus on your specific industry verticals (AI, marketing, tech, etc.). Adjust monitoring frequency - Change the trigger timing based on your content planning needs. What you get Daily trend reports** with viral content analysis and engagement metrics Content opportunity scores** for different platforms and topics Automated content calendar updates** with trending topics and suggested content Team notifications** with key insights and actionable recommendations Competitive analysis** of viral content patterns and successful strategies. An n8n automation workflow template by vinci-king-01.

By Jean-Marie Rizkallah

🧩 Jamf Policies Export to Slack Quickly export and review your entire Jamf policy configuration—including triggers, frequencies, and scope—directly in Slack. This enables IT and security teams to audit policy setups without logging into Jamf or generating reports manually. ❗The Problem Jamf Pro lacks a straightforward way to quickly review or share a list of all configured policies, including key attributes like frequency, scope, or triggers. Security teams often need this for audit or compliance reviews, but navigating Jamf’s UI or exporting via the API is time-consuming. 🔧 This Fixes It This workflow fetches all policies, extracts the most relevant fields, compiles them into a csv file, and posts that readble file into a designated Slack channel—automatically or on demand. ✅ Prerequisites • A Jamf Pro API key (OAuth2) with read access to policies • A Slack app with permission to post files into your chosen channel 🔍 How it works • Manually trigger or use the webhook to initiate the flow • Retrieve all policies from Jamf via the XML API • Convert the XML response into JSON • Split and loop through each policy ID • Retrieve detailed data for each policy • Format relevant fields (ID, name, trigger, scope, etc.) • Convert the final data set into an .csv file • Upload the file to your Slack channel ⚙️ Set up steps • Takes ~10 minutes to configure • Set the Jamf BaseURL in the “Jamf Server” node • Configure Jamf OAuth2 credentials in the HTTP Request nodes • Adjust the fields for export in the “Set-fields” node • Set your Slack credentials and target channel in the “Post to Slack” node • Optional: Customize the exported fields or filename 🔄 Automation Ready Schedule this flow daily/weekly, or tie it to change events to keep your team informed. An n8n automation workflow template by Jean-Marie Rizkallah.

By Msaid Mohamed el hadi

Overview This workflow automates the discovery, extraction, enrichment, and storage of business information from Google Maps search queries using AI tools, scrapers, and Google Sheets. It is ideal for: Lead generation agencies Local business researchers Digital marketing firms Automation & outreach specialists 🔧 Tools & APIs Used Google Maps Search (via HTTP)** Custom JavaScript Parsing** URL Filtering & De-duplication** Google Sheets (Read/Write)** APIFY Actor** for business scraping LangChain AI Agent** (OpenRouter - Gemini 2.5) n8n Built-in Logic** (Loops, Conditions, Aggregators) 🧠 Workflow Summary Trigger The automation starts via schedule (every hour). Read Queries from Google Sheet Loads unprocessed keywords from a Google Sheet tab named keywords. Loop Through Keywords Each keyword is used to search Google Maps for relevant businesses. Extract URLs JavaScript parses HTML to find all external website URLs from the search results. Clean URLs Filters out irrelevant domains (e.g., Google-owned, example.com, etc.), and removes duplicates. Loop Through URLs For each URL: Checks if it already exists in the Google Sheet (to prevent duplication). Calls the APIFY Actor to extract full business data. Optionally uses AI Agent (Gemini) to provide detailed insight on the business, including: Services, About, Market Position, Weaknesses, AI suggestions, etc. Converts the AI result (text) to a structured JSON object. Save to Google Sheet Adds all extracted and AI-enriched business information to a separate tab (Sheet1). Mark Queries as Processed Updates the original row in keywords to avoid reprocessing. 🗃️ Output Fields Saved The following information is saved per business: Business Name, Website, Email, Phone Address, City, Postal Code, Country, Coordinates Category, Subcategory, Services About Us, Opening Hours, Social Media Links Legal Links (Privacy, Terms) Logo, Languages, Keywords AI-Generated Description** Google Maps URL 📈 Use Cases Build a prospect database for B2B cold outreach. Extract local SEO insights per business. Feed CRMs or analytics systems with enriched business profiles. Automate market research for regional opportunity detection. 📩 Want a Similar Workflow? If you’d like a custom AI-powered automation like this for your business or agency, feel free to contact me: 📧 msaidwolfltd@gmail.com. An n8n automation workflow template by Msaid Mohamed el hadi.

By Msaid Mohamed el hadi

🧠 Browsing History Automation Analyzer – Automation Toolkit (Google Sheets + AI) This n8n workflow analyzes your browsing history to identify opportunities for automation. It reads history from a Google Sheet, groups visits by domain, filters out irrelevant entries, and uses AI to recommend what can be automated — including how and why. 📌 What It Does 📄 Reads your browsing history from Google Sheets 🌐 Groups history by domain 🚫 Filters out common non-actionable domains (e.g., YouTube, Google) 🤖 Uses AI to analyze whether your activity on each site is automatable 💡 Provides suggestions including what to automate, how to do it, and which tools to use 📝 Saves results into a new tab in the same Google Sheet 🔍 Searches for n8n workflow templates related to the suggested automation 📊 Demo Sheet Input + output are handled via the following Google Sheet: 📎 Spreadsheet: View on Google Sheets Sheet: history** → Input browsing history Sheet: automations** → Output AI automation suggestions 🧠 AI Analysis Logic The AI agent receives each domain's browsing history and responds with: domain: The website domain automatable: true/false what_to_automate: Specific actions that can be automated reason: Why it's suitable (or not) for automation tool: Suggested automation tool (e.g., n8n, Apify) automation_rating: High, Medium, Low, or Not Automatable n8n_template: Relevant automation template (if found) 🔧 Technologies Used | Tool | Purpose | |--------------------------|-------------------------------------| | n8n | Workflow automation | | LangChain AI Agent | AI-based analysis | | Google Sheets Node | Input/output data handling | | OpenRouter (LLM) | Language model for intelligent reasoning | | JavaScript Code Node | Grouping and formatting logic | | Filter Node | Remove unwanted domains | | HTTP Request Node | Search n8n.io templates | 💻 Chrome History Export You can use this Chrome extension to export your browsing history in a format compatible with the workflow: 🔗 Export Chrome History Extension 📧 Want Personalized Automation Advice? If you'd like personalized automation recommendations based on your browsing history—just like what this workflow provides—feel free to contact me directly: > 📩 msaidwolfltd@gmail.com I'll help you discover what tasks you can automate to save time and boost productivity. 🚀 Example Use Cases Automate daily logins to dashboards Auto-fill forms on repetitive websites Schedule data exports from web portals Trigger reminders based on recurring visits Discover opportunities for scraping and integration 📜 License This workflow is provided as-is for educational and personal use. For commercial or customized use, contact the author. An n8n automation workflow template by Msaid Mohamed el hadi.

By vinci-king-01

Deep Research Agent with AI Analysis and Multi-Source Data Collection 🎯 Target Audience Market researchers and analysts Business intelligence teams Academic researchers and students Content creators and journalists Product managers conducting market research Consultants performing competitive analysis Data scientists gathering research data Marketing teams analyzing industry trends 🚀 Problem Statement Manual research processes are time-consuming, inconsistent, and often miss critical information from multiple sources. This template solves the challenge of automating comprehensive research across web, news, and academic sources while providing AI-powered analysis and actionable insights. 🔧 How it Works This workflow automatically conducts deep research on any topic using AI-powered web scraping, collects data from multiple source types, and provides comprehensive analysis with actionable insights. Key Components Webhook Trigger - Receives research requests and initiates the automated research process Research Configuration Processor - Validates and processes research parameters, generates search queries Multi-Source AI Scraping - Uses ScrapeGraphAI to collect data from web, news, and academic sources Data Processing Engine - Combines and structures data from all sources for analysis AI Research Analyst - Uses GPT-4 to provide comprehensive analysis and insights Data Storage - Stores all research findings in Google Sheets for historical tracking Response System - Returns structured research results via webhook response 📊 Google Sheets Column Specifications The template creates the following columns in your Google Sheets: | Column | Data Type | Description | Example | |--------|-----------|-------------|---------| | sessionId | String | Unique research session identifier | "research_1703123456789" | | query | String | Research query that was executed | "artificial intelligence trends" | | timestamp | DateTime | When the research was conducted | "2024-01-15T10:30:00Z" | | analysis | Text | AI-generated comprehensive analysis | "Executive Summary: AI trends show..." | | totalSources | Number | Total number of sources analyzed | 15 | 🛠️ Setup Instructions Estimated setup time: 20-25 minutes Prerequisites n8n instance with community nodes enabled ScrapeGraphAI API account and credentials OpenAI API account and credentials Google Sheets account with API access Step-by-Step Configuration 1. Install Community Nodes Install required community nodes npm install n8n-nodes-scrapegraphai 2. Configure ScrapeGraphAI Credentials Navigate to Credentials in your n8n instance Add new ScrapeGraphAI API credentials Enter your API key from ScrapeGraphAI dashboard Test the connection to ensure it's working 3. Set up OpenAI Credentials Add OpenAI API credentials Enter your API key from OpenAI dashboard Ensure you have access to GPT-4 model Test the connection to verify API access 4. Set up Google Sheets Connection Add Google Sheets OAuth2 credentials Grant necessary permissions for spreadsheet access Create a new spreadsheet for research data Configure the sheet name (default: "Research_Data") 5. Configure Research Parameters Update the webhook endpoint URL Customize default research parameters in the configuration processor Set appropriate search query generation logic Configure research depth levels (basic, detailed, comprehensive) 6. Test the Workflow Send a test webhook request with research parameters Verify data collection from all source types Check Google Sheets for proper data storage Validate AI analysis output quality 🔄 Workflow Customization Options Modify Research Sources Add or remove source types (web, news, academic) Customize search queries for specific industries Adjust source credibility scoring algorithms Implement custom data extraction patterns Extend Analysis Capabilities Add industry-specific analysis frameworks Implement comparative analysis between sources Create custom insight generation rules Add sentiment analysis for news sources Customize Data Storage Add more detailed metadata tracking Implement research versioning and history Create multiple sheet tabs for different research types Add data export capabilities Output Customization Create custom response formats Add research summary generation Implement citation and source tracking Create executive dashboard integration 📈 Use Cases Market Research**: Comprehensive industry and competitor analysis Academic Research**: Literature reviews and citation gathering Content Creation**: Research for articles, reports, and presentations Business Intelligence**: Strategic decision-making support Product Development**: Market validation and trend analysis Investment Research**: Due diligence and market analysis 🚨 Important Notes Respect website terms of service and robots.txt files Implement appropriate delays between requests to avoid rate limiting Monitor API usage to manage costs effectively Keep your credentials secure and rotate them regularly Consider data privacy and compliance requirements Validate research findings from multiple sources 🔧 Troubleshooting Common Issues: ScrapeGraphAI connection errors: Verify API key and account status OpenAI API errors: Check API key and model access permissions Google Sheets permission errors: Check OAuth2 scope and permissions Research data quality issues: Review search query generation logic Rate limiting: Adjust request frequency and implement delays Webhook response errors: Check response format and content Support Resources: ScrapeGraphAI documentation and API reference OpenAI API documentation and model specifications n8n community forums for workflow assistance Google Sheets API documentation for advanced configurations. An n8n automation workflow template by vinci-king-01.

By Malik Hashir

Purpose & Audience This workflow delivers real-time crypto news alerts to X, Discord and Telegram, providing instant updates to help you stay ahead in the fast-moving world of cryptocurrency. Designed specifically for crypto traders, community managers, market analysts, content creators, and anyone needing reliable, up-to-the-minute crypto news. It’s ideal for keeping your audience engaged with timely, well-formatted news, or for making swift trading decisions based on the latest headlines. What the Workflow Does Aggregates Crypto News:** Continuously fetches the latest news from popular crypto news sources, ensuring 24/7 monitoring with zero downtime. Interprets and Formats Alerts:** Processes raw news items, applies relevant interpretation, and transforms them into user-friendly, actionable alerts. Adds Visual Enhancements:** Each alert is boosted with emojis and structured formatting, making the info engaging and instantly scannable. Multi-Platform Delivery:** Instantly sends these news summaries to X, Discord channels and Telegram groups, so your team or community never misses a critical update. Who Is This For? Crypto Traders:** Make timely, informed decisions with real-time updates pushed straight to your preferred platform. Community Owners & Moderators:** Keep your crypto community engaged and informed without manual curation. Market Analysts:** Track the pulse of the market efficiently and without distraction. Content Creators:** Use automated news as inspiration for posts, newsletters, or videos. Crypto Enthusiasts:** Anyone eager to follow breaking developments in the crypto sector. How to Set Up Import the Workflow: Download the workflow and import it into your n8n environment. Set Up X, Discord & Telegram Nodes: Discord: Connect your Discord account for sending alerts. Telegram: Link your Telegram bot and specify channel/group details. X: Connect your X account for real time post alerts. Note: Step by step guide is provided for setup with workflow file. Customize Formatting: Tailor the message templates in the workflow to match your branding, including emoji selection and styling. Test & Launch: Confirm proper message delivery to your X, Discord and Telegram channels. Tweak formatting if necessary for maximum readability. Run 24/7: Activate the workflow for always-on crypto news monitoring—no manual input required. Key Benefits Stay first to know about crucial crypto events, alerts, and breaking regulatory news. Save time with automated curation and delivery—no more switching between feeds and apps. Boost engagement in your trading group, crypto server, or Telegram community with visually enhanced, timely updates. An n8n automation workflow template by Malik Hashir.

By Incrementors

Wikipedia to LinkedIn AI Content Poster with Image via Bright Data 📋 Overview Workflow Description: Automatically scrapes Wikipedia articles, generates AI-powered LinkedIn summaries with custom images, and posts professional content to LinkedIn using Bright Data extraction and intelligent content optimization. 🚀 How It Works The workflow follows these simple steps: Article Input: User submits a Wikipedia article name through a simple form interface Data Extraction: Bright Data scrapes the Wikipedia article content including title and full text AI Summarization: Advanced AI models (OpenAI GPT-4 or Claude) create professional LinkedIn-optimized summaries under 2000 characters Image Generation: Ideogram AI creates relevant visual content based on the article summary LinkedIn Publishing: Automatically posts the summary with generated image to your LinkedIn profile URL Generation: Provides a shareable LinkedIn post URL for easy access and sharing ⚡ Setup Requirements Estimated Setup Time: 10-15 minutes Prerequisites n8n instance (self-hosted or cloud) Bright Data account with Wikipedia dataset access OpenAI API account (for GPT-4 access) Anthropic API account (for Claude access - optional) Ideogram AI account (for image generation) LinkedIn account with API access 🔧 Configuration Steps Step 1: Import Workflow Copy the provided JSON workflow file In n8n: Navigate to Workflows → + Add workflow → Import from JSON Paste the JSON content and click Import Save the workflow with a descriptive name Step 2: Configure API Credentials 🌐 Bright Data Setup Go to Credentials → + Add credential → Bright Data API Enter your Bright Data API token Replace BRIGHT_DATA_API_KEY in all HTTP request nodes Test the connection to ensure access 🤖 OpenAI Setup Configure OpenAI credentials in n8n Ensure GPT-4 model access Link credentials to the "OpenAI Chat Model" node Test API connectivity 🎨 Ideogram AI Setup Obtain Ideogram AI API key Replace IDEOGRAM_API_KEY in the "Image Generate" node Configure image generation parameters Test image generation functionality 💼 LinkedIn Setup Set up LinkedIn OAuth2 credentials in n8n Replace LINKEDIN_PROFILE_ID with your profile ID Configure posting permissions Test posting functionality Step 3: Configure Workflow Parameters Update Node Settings: Form Trigger:** Customize the form title and field labels as needed AI Agent:** Adjust the system message for different content styles Image Generate:** Modify image resolution and rendering speed settings LinkedIn Post:** Configure additional fields like hashtags or mentions Step 4: Test the Workflow Testing Recommendations: Start with a simple Wikipedia article (e.g., "Artificial Intelligence") Monitor each node execution for errors Verify the generated summary quality Check image generation and LinkedIn posting Confirm the final LinkedIn URL generation 🎯 Usage Instructions Running the Workflow Access the Form: Use the generated webhook URL to access the submission form Enter Article Name: Type the exact Wikipedia article title you want to process Submit Request: Click submit to start the automated process Monitor Progress: Check the n8n execution log for real-time progress View Results: The workflow will return a LinkedIn post URL upon completion Expected Output 📝 Content Summary Professional LinkedIn-optimized text Under 2000 characters Engaging and informative tone Bullet points for readability 🖼️ Generated Image High-quality AI-generated visual 1280x704 resolution Relevant to article content Professional appearance 🔗 LinkedIn Post Published to your LinkedIn profile Includes both text and image Shareable public URL Professional formatting 🛠️ Customization Options Content Personalization AI Prompts:** Modify the system message in the AI Agent node to change writing style Character Limits:** Adjust summary length requirements Tone Settings:** Change from professional to casual or technical Hashtag Integration:** Add relevant hashtags to LinkedIn posts Visual Customization Image Style:** Modify Ideogram prompts for different visual styles Resolution:** Change image dimensions based on LinkedIn requirements Rendering Speed:** Balance between speed and quality Brand Elements:** Include company logos or brand colors 🔍 Troubleshooting Common Issues & Solutions ⚠️ Bright Data Connection Issues Verify API key is correctly configured Check dataset access permissions Ensure sufficient API credits Validate Wikipedia article exists 🤖 AI Processing Errors Check OpenAI API quotas and limits Verify model access permissions Review input text length and format Test with simpler article content 🖼️ Image Generation Failures Validate Ideogram API key Check image prompt content Verify API usage limits Test with shorter prompts 💼 LinkedIn Posting Issues Re-authenticate LinkedIn OAuth Check posting permissions Verify profile ID configuration Test with shorter content ⚡ Performance & Limitations Expected Processing Times Wikipedia Scraping:** 30-60 seconds AI Summarization:** 15-30 seconds Image Generation:** 45-90 seconds LinkedIn Posting:** 10-15 seconds Total Workflow:** 2-4 minutes per article Usage Recommendations Best Practices: Use well-known Wikipedia articles for better results Monitor API usage across all services Test content quality before bulk processing Respect LinkedIn posting frequency limits Keep backup of successful configurations 📊 Use Cases 📚 Educational Content Create engaging educational posts from Wikipedia articles on science, history, or technology topics. 🏢 Thought Leadership Transform complex topics into accessible LinkedIn content to establish industry expertise. 📰 Content Marketing Generate regular, informative posts to maintain active LinkedIn presence with minimal effort. 🔬 Research Sharing Quickly summarize and share research findings or scientific discoveries with your network. 🎉 Conclusion This workflow provides a powerful, automated solution for creating professional LinkedIn content from Wikipedia articles. By combining web scraping, AI summarization, image generation, and social media posting, you can maintain an active and engaging LinkedIn presence with minimal manual effort. The workflow is designed to be flexible and customizable, allowing you to adapt the content style, visual elements, and posting frequency to match your professional brand and audience preferences. For any questions or support, please contact: info@incrementors.com or fill out this form: https://www.incrementors.com/contact-us/. An n8n automation workflow template by Incrementors.

By vinci-king-01

Sales Pipeline Automation Dashboard with AI Lead Intelligence 🎯 Target Audience Sales managers and team leads Business development representatives Marketing teams managing lead generation CRM administrators and sales operations Account executives and sales representatives Sales enablement professionals Revenue operations (RevOps) teams 🚀 Problem Statement Manual lead qualification and sales pipeline management is inefficient and often leads to missed opportunities or poor lead prioritization. This template solves the challenge of automatically scoring, qualifying, and routing leads using AI-powered intelligence to maximize conversion rates and sales team productivity. 🔧 How it Works This workflow automatically processes new leads using AI-powered intelligence, scores and qualifies them based on multiple factors, and automates the entire sales pipeline from lead capture to deal creation. Key Components Dual Trigger System - Scheduled monitoring and webhook triggers for real-time lead processing AI-Powered Lead Intelligence - Advanced scoring algorithm based on 7 key factors Multi-Source Data Enrichment - LinkedIn and Crunchbase integration for comprehensive lead profiles Automated Sales Actions - Intelligent routing, task creation, and follow-up sequences Multi-Platform Integration - HubSpot CRM, Slack notifications, and Google Sheets dashboard 📊 Google Sheets Column Specifications The template creates the following columns in your Google Sheets: | Column | Data Type | Description | Example | |--------|-----------|-------------|---------| | timestamp | DateTime | When the lead was processed | "2024-01-15T10:30:00Z" | | lead_id | String | Unique lead identifier | "LEAD-2024-001234" | | first_name | String | Lead's first name | "John" | | last_name | String | Lead's last name | "Smith" | | email | String | Lead's email address | "john@company.com" | | company_name | String | Company name | "Acme Corp" | | job_title | String | Lead's job title | "Marketing Director" | | lead_score | Number | AI-calculated score (0-100) | 85 | | grade | String | Lead grade (A+, A, B+, B, C+) | "A+" | | category | String | Lead category | "Enterprise" | | priority | String | Priority level | "Critical" | | lead_source | String | How the lead was acquired | "Website Form" | | assigned_rep | String | Assigned sales representative | "Senior AE" | | company_size | String | Company employee count | "201-500 employees" | | industry | String | Company industry | "Technology" | | funding_stage | String | Company funding stage | "Series B" | | estimated_value | String | Estimated deal value | "$50K-100K" | 🛠️ Setup Instructions Estimated setup time: 25-30 minutes Prerequisites n8n instance with community nodes enabled ScrapeGraphAI API account and credentials HubSpot CRM account with API access Google Sheets account with API access Slack workspace for notifications (optional) Email service for welcome emails (optional) Step-by-Step Configuration 1. Install Community Nodes Install required community nodes npm install n8n-nodes-scrapegraphai npm install n8n-nodes-slack 2. Configure ScrapeGraphAI Credentials Navigate to Credentials in your n8n instance Add new ScrapeGraphAI API credentials Enter your API key from ScrapeGraphAI dashboard Test the connection to ensure it's working 3. Set up HubSpot CRM Integration Add HubSpot API credentials Grant necessary permissions for contacts, deals, and tasks Configure custom properties for lead scoring and qualification Test the connection to ensure it's working 4. Set up Google Sheets Connection Add Google Sheets OAuth2 credentials Grant necessary permissions for spreadsheet access Create a new spreadsheet for sales pipeline data Configure the sheet name (default: "Sales Pipeline") 5. Configure Lead Scoring Parameters Update the lead scoring weights in the Code node Customize ideal customer profile criteria Set automation trigger thresholds Adjust sales rep assignment logic 6. Set up Notification Channels Configure Slack webhook or API credentials Set up email service credentials for welcome emails Define notification preferences for different lead grades Test notification delivery 7. Configure Triggers Set up webhook endpoint for real-time lead capture Configure scheduled trigger for periodic monitoring Choose appropriate time zones for your business hours Test both trigger mechanisms 8. Test and Validate Run the workflow manually with sample lead data Check HubSpot for proper contact and deal creation Verify Google Sheets data formatting Test all notification channels 🔄 Workflow Customization Options Modify Lead Scoring Algorithm Adjust scoring weights for different factors Add new scoring criteria (geographic location, technology stack, etc.) Customize ideal customer profile parameters Implement industry-specific scoring models Extend Data Enrichment Add more data sources (ZoomInfo, Apollo, etc.) Include social media presence analysis Add technographic data collection Implement intent signal detection Customize Sales Automation Modify follow-up sequences for different lead categories Add more sophisticated sales rep assignment logic Implement territory-based routing Add automated meeting scheduling Output Customization Add data visualization and reporting features Implement sales pipeline analytics Create executive dashboards with key metrics Add conversion rate tracking and analysis 📈 Use Cases Lead Qualification**: Automatically score and qualify incoming leads Sales Pipeline Management**: Streamline the entire sales process Lead Routing**: Intelligently assign leads to appropriate sales reps Follow-up Automation**: Ensure consistent and timely follow-up Sales Intelligence**: Provide comprehensive lead insights Performance Tracking**: Monitor sales team and pipeline performance 🚨 Important Notes Respect LinkedIn and Crunchbase terms of service and rate limits Implement appropriate delays between requests to avoid rate limiting Regularly review and update your lead scoring parameters Monitor API usage to manage costs effectively Keep your credentials secure and rotate them regularly Ensure GDPR compliance for lead data processing 🔧 Troubleshooting Common Issues: ScrapeGraphAI connection errors: Verify API key and account status HubSpot API errors: Check API key and permissions Google Sheets permission errors: Check OAuth2 scope and permissions Lead scoring errors: Review the Code node's JavaScript logic Rate limiting: Adjust request frequency and implement delays Support Resources: ScrapeGraphAI documentation and API reference HubSpot API documentation and developer resources n8n community forums for workflow assistance Google Sheets API documentation for advanced configurations Sales automation best practices and guidelines. An n8n automation workflow template by vinci-king-01.

By vinci-king-01

Customer Support Analysis Dashboard with AI and Automated Insights 🎯 Target Audience Customer support managers and team leads Customer success teams monitoring satisfaction Product managers analyzing user feedback Business analysts measuring support metrics Operations managers optimizing support processes Quality assurance teams monitoring support quality Customer experience (CX) professionals 🚀 Problem Statement Manual analysis of customer support tickets and feedback is time-consuming and often misses critical patterns or emerging issues. This template solves the challenge of automatically collecting, analyzing, and visualizing customer support data to identify trends, improve response times, and enhance overall customer satisfaction. 🔧 How it Works This workflow automatically monitors customer support channels using AI-powered analysis, processes tickets and feedback, and provides actionable insights for improving customer support operations. Key Components Scheduled Trigger - Runs the workflow at specified intervals to maintain real-time monitoring AI-Powered Ticket Analysis - Uses advanced NLP to categorize, prioritize, and analyze support tickets Multi-Channel Integration - Monitors email, chat, help desk systems, and social media Automated Insights - Generates reports on trends, response times, and satisfaction scores Dashboard Integration - Stores all data in Google Sheets for comprehensive analysis and reporting 📊 Google Sheets Column Specifications The template creates the following columns in your Google Sheets: | Column | Data Type | Description | Example | |--------|-----------|-------------|---------| | timestamp | DateTime | When the ticket was processed | "2024-01-15T10:30:00Z" | | ticket_id | String | Unique ticket identifier | "SUP-2024-001234" | | customer_email | String | Customer contact information | "john@example.com" | | subject | String | Ticket subject line | "Login issues with new app" | | description | String | Full ticket description | "I can't log into the mobile app..." | | category | String | AI-categorized ticket type | "Technical Issue" | | priority | String | Calculated priority level | "High" | | sentiment_score | Number | Customer sentiment (-1 to 1) | -0.3 | | urgency_indicator | String | Urgency classification | "Immediate" | | response_time | Number | Time to first response (hours) | 2.5 | | resolution_time | Number | Time to resolution (hours) | 8.0 | | satisfaction_score | Number | Customer satisfaction rating | 4.2 | | agent_assigned | String | Support agent name | "Sarah Johnson" | | status | String | Current ticket status | "Resolved" | 🛠️ Setup Instructions Estimated setup time: 20-25 minutes Prerequisites n8n instance with community nodes enabled ScrapeGraphAI API account and credentials Google Sheets account with API access Help desk system API access (Zendesk, Freshdesk, etc.) Email service integration (optional) Step-by-Step Configuration 1. Install Community Nodes Install required community nodes npm install n8n-nodes-scrapegraphai npm install n8n-nodes-slack 2. Configure ScrapeGraphAI Credentials Navigate to Credentials in your n8n instance Add new ScrapeGraphAI API credentials Enter your API key from ScrapeGraphAI dashboard Test the connection to ensure it's working 3. Set up Google Sheets Connection Add Google Sheets OAuth2 credentials Grant necessary permissions for spreadsheet access Create a new spreadsheet for customer support analysis Configure the sheet name (default: "Support Analysis") 4. Configure Support System Integration Update the websiteUrl parameters in ScrapeGraphAI nodes Add URLs for your help desk system or support portal Customize the user prompt to extract specific ticket data Set up categories and priority thresholds 5. Set up Notification Channels Configure Slack webhook or API credentials for alerts Set up email service credentials for critical issues Define alert thresholds for different priority levels Test notification delivery 6. Configure Schedule Trigger Set analysis frequency (hourly, daily, etc.) Choose appropriate time zones for your business hours Consider support system rate limits 7. Test and Validate Run the workflow manually to verify all connections Check Google Sheets for proper data formatting Test ticket analysis with sample data 🔄 Workflow Customization Options Modify Analysis Targets Add or remove support channels (email, chat, social media) Change ticket categories and priority criteria Adjust analysis frequency based on ticket volume Extend Analysis Capabilities Add more sophisticated sentiment analysis Implement customer churn prediction models Include agent performance analytics Add automated response suggestions Customize Alert System Set different thresholds for different ticket types Create tiered alert systems (info, warning, critical) Add SLA breach notifications Include trend analysis alerts Output Customization Add data visualization and reporting features Implement support trend charts and graphs Create executive dashboards with key metrics Add customer satisfaction trend analysis 📈 Use Cases Support Ticket Management**: Automatically categorize and prioritize tickets Response Time Optimization**: Identify bottlenecks in support processes Customer Satisfaction Monitoring**: Track and improve satisfaction scores Agent Performance Analysis**: Monitor and improve agent productivity Product Issue Detection**: Identify recurring problems and feature requests SLA Compliance**: Ensure support teams meet service level agreements 🚨 Important Notes Respect support system API rate limits and terms of service Implement appropriate delays between requests to avoid rate limiting Regularly review and update your analysis parameters Monitor API usage to manage costs effectively Keep your credentials secure and rotate them regularly Consider data privacy and GDPR compliance for customer data 🔧 Troubleshooting Common Issues: ScrapeGraphAI connection errors: Verify API key and account status Google Sheets permission errors: Check OAuth2 scope and permissions Ticket parsing errors: Review the Code node's JavaScript logic Rate limiting: Adjust analysis frequency and implement delays Alert delivery failures: Check notification service credentials Support Resources: ScrapeGraphAI documentation and API reference n8n community forums for workflow assistance Google Sheets API documentation for advanced configurations Help desk system API documentation Customer support analytics best practices. An n8n automation workflow template by vinci-king-01.

By vinci-king-01

Social Media Sentiment Analysis Dashboard with AI and Real-time Monitoring 🎯 Target Audience Social media managers and community managers Marketing teams monitoring brand reputation PR professionals tracking public sentiment Customer service teams identifying trending issues Business analysts measuring social media ROI Brand managers protecting brand reputation Product managers gathering user feedback 🚀 Problem Statement Manual social media monitoring is overwhelming and often misses critical sentiment shifts or trending topics. This template solves the challenge of automatically collecting, analyzing, and visualizing social media sentiment data across multiple platforms to provide actionable insights for brand management and customer engagement. 🔧 How it Works This workflow automatically monitors social media platforms using AI-powered sentiment analysis, processes mentions and conversations, and provides real-time insights through a comprehensive dashboard. Key Components Scheduled Trigger - Runs the workflow at specified intervals to maintain real-time monitoring AI-Powered Sentiment Analysis - Uses advanced NLP to analyze sentiment, emotions, and topics Multi-Platform Integration - Monitors Twitter, Reddit, and other social platforms Real-time Alerting - Sends notifications for critical sentiment changes or viral content Dashboard Integration - Stores all data in Google Sheets for comprehensive analysis and reporting 📊 Google Sheets Column Specifications The template creates the following columns in your Google Sheets: | Column | Data Type | Description | Example | |--------|-----------|-------------|---------| | timestamp | DateTime | When the mention was recorded | "2024-01-15T10:30:00Z" | | platform | String | Social media platform | "Twitter" | | username | String | User who posted the content | "@john_doe" | | content | String | Full text of the post/comment | "Love the new product features!" | | sentiment_score | Number | Sentiment score (-1 to 1) | 0.85 | | sentiment_label | String | Sentiment classification | "Positive" | | emotion | String | Primary emotion detected | "Joy" | | topics | Array | Key topics identified | ["product", "features"] | | engagement | Number | Likes, shares, comments | 1250 | | reach_estimate | Number | Estimated reach | 50000 | | influence_score | Number | User influence metric | 0.75 | | alert_priority | String | Alert priority level | "High" | 🛠️ Setup Instructions Estimated setup time: 20-25 minutes Prerequisites n8n instance with community nodes enabled ScrapeGraphAI API account and credentials Google Sheets account with API access Slack workspace for notifications (optional) Social media API access (Twitter, Reddit, etc.) Step-by-Step Configuration 1. Install Community Nodes Install required community nodes npm install n8n-nodes-scrapegraphai npm install n8n-nodes-slack 2. Configure ScrapeGraphAI Credentials Navigate to Credentials in your n8n instance Add new ScrapeGraphAI API credentials Enter your API key from ScrapeGraphAI dashboard Test the connection to ensure it's working 3. Set up Google Sheets Connection Add Google Sheets OAuth2 credentials Grant necessary permissions for spreadsheet access Create a new spreadsheet for sentiment analysis data Configure the sheet name (default: "Sentiment Analysis") 4. Configure Social Media Monitoring Update the websiteUrl parameters in ScrapeGraphAI nodes Add URLs for social media platforms you want to monitor Customize the user prompt to extract specific sentiment data Set up keywords, hashtags, and brand mentions to track 5. Set up Notification Channels Configure Slack webhook or API credentials Set up email service credentials for alerts Define sentiment thresholds for different alert levels Test notification delivery 6. Configure Schedule Trigger Set monitoring frequency (every 15 minutes, hourly, etc.) Choose appropriate time zones for your business hours Consider social media platform rate limits 7. Test and Validate Run the workflow manually to verify all connections Check Google Sheets for proper data formatting Test sentiment analysis with sample content 🔄 Workflow Customization Options Modify Monitoring Targets Add or remove social media platforms Change keywords, hashtags, or brand mentions Adjust monitoring frequency based on platform activity Extend Sentiment Analysis Add more sophisticated emotion detection Implement topic clustering and trend analysis Include influencer identification and scoring Customize Alert System Set different thresholds for different sentiment levels Create tiered alert systems (info, warning, critical) Add sentiment trend analysis and predictions Output Customization Add data visualization and reporting features Implement sentiment trend charts and graphs Create executive dashboards with key metrics Add competitor sentiment comparison 📈 Use Cases Brand Reputation Management**: Monitor and respond to brand mentions Crisis Management**: Detect and respond to negative sentiment quickly Customer Feedback Analysis**: Understand customer satisfaction and pain points Product Launch Monitoring**: Track sentiment around new product releases Competitor Analysis**: Monitor competitor sentiment and engagement Influencer Identification**: Find and engage with influential users 🚨 Important Notes Respect social media platforms' terms of service and rate limits Implement appropriate delays between requests to avoid rate limiting Regularly review and update your monitoring keywords and parameters Monitor API usage to manage costs effectively Keep your credentials secure and rotate them regularly Consider privacy implications and data protection regulations 🔧 Troubleshooting Common Issues: ScrapeGraphAI connection errors: Verify API key and account status Google Sheets permission errors: Check OAuth2 scope and permissions Sentiment analysis errors: Review the Code node's JavaScript logic Rate limiting: Adjust monitoring frequency and implement delays Alert delivery failures: Check notification service credentials Support Resources: ScrapeGraphAI documentation and API reference n8n community forums for workflow assistance Google Sheets API documentation for advanced configurations Social media platform API documentation Sentiment analysis best practices and guidelines. An n8n automation workflow template by vinci-king-01.

By Marth - Business Automation

How It Works ⚙️ This workflow is a powerful automation engine for your marketing efforts. On a set schedule, it automatically generates a professional market report and distributes it to your client list, positioning you as a market expert with zero manual effort. 0. Cron (Monthly Schedule): ⏰ The workflow is triggered automatically on the first day of every month at a specified time (e.g., 8:00 AM). 1. HTTP Request (Get Market Data): 📊 It connects to an external market data API to fetch the latest raw statistics and trends for your region. 2. Function (Process Data): 📝 This node processes the raw API data, formats it, and calculates key metrics (e.g., total sales, average price) to be used in the final report. 3. Google Docs (Create Report): 📄 Using a pre-designed Google Docs template, the workflow dynamically creates a new report document, filling in the placeholders with the data processed in the previous step. 4. Google Sheets (Get Client List): 📋 It fetches your client mailing list from a Google Sheet, which acts as your central database for client contacts. 5. Split In Batches: 🔄 This node ensures that each client from the mailing list is processed individually, preventing any issues with bulk emailing. 6. Gmail (Send Report): 📧 For each client, a personalized email is sent with the newly generated market report attached as a PDF, completing the distribution process. How to Set Up 🛠️ Setting up this complex workflow requires careful configuration of each node and external services. Import Workflow JSON: Open your n8n instance. Click on 'Workflows' in the left sidebar. Click the '+' button or 'New' to create a new workflow. Click the '...' (More Options) icon in the top right. Select 'Import from JSON' and paste the entire JSON code for this workflow. Prepare Your Data & Tools: Market Data API: Obtain an API key or access for a market data service that provides the data you need. This could be a public service or an internal one. Google Docs Template: Create a Google Docs template for your market report. Use placeholders like {{ averagePrice }}, {{ totalSales }}, and {{ reportMonth }} for the data you want to insert. Client Mailing List: Create a Google Sheet with a list of your clients. It must have columns like Client Name and Client Email. n8n Credentials: Ensure you have configured OAuth2 credentials for both Google Sheets and Google Docs. Configure 0. Cron (Monthly Schedule): The node is pre-configured to run on the 1st of every month at 8 AM. You can adjust the hour or dayOfMonth if needed. Configure 1. HTTP Request (Get Market Data): Locate the '1. HTTP Request (Get Market Data)' node. URL: Replace https://api.your-market-data-service.com/data/monthly?region=Jakarta with the actual URL of your market data API endpoint. Authentication: Configure the authentication (e.g., Header Auth for an API key) according to your API provider's documentation. Configure 2. Function (Process Data): Locate the '2. Function (Process Data)' node. Data Mapping: The code is an example. You MUST update the code inside this node to correctly parse the JSON data coming from your specific API call and extract the metrics you need. Expressions: Ensure the variable names (totalSales, averagePrice, etc.) match the placeholders in your Google Docs template. Configure 3. Google Docs (Create Report): Locate the '3. Google Docs (Create Report)' node. Credentials: Select your Google Docs OAuth2 credential. Document ID: Replace YOUR_GOOGLE_DOCS_TEMPLATE_ID with the ID of the template you created. Template Variables: Ensure the variable names (averagePrice, totalSales, etc.) perfectly match the placeholders in your Google Docs template. Configure 4. Google Sheets (Get Client List): Locate the '4. Google Sheets (Get Client List)' node. Credentials: Select your Google Sheets OAuth2 credential. Spreadsheet ID: Replace YOUR_CLIENT_MAILING_LIST_SPREADSHEET_ID with the ID of your client list sheet. Sheet Name: Enter the exact name of the sheet (tab) containing your client data. Configure 5. Split In Batches: This node requires no configuration. It will automatically process each client from the Google Sheets list one by one. Configure 6. Gmail (Send Report): Locate the '6. Gmail (Send Report)' node. Credentials: Select your Gmail OAuth2 credential. From Email: Replace your-agency-email@example.com with the email address you want to send from. To Email: ={{ $json['Client Email'] }} (This pulls the email from the current batch item). Attachments: The node is set up to attach the file created by the Google Docs node. No changes are needed here unless you want to customize the file name. Review and Activate: Thoroughly review all node configurations. This is a complex workflow, so be meticulous. Click 'Save' and then toggle the 'Inactive' switch to 'Active' to enable your workflow. 🟢 Your automated marketing engine is now live!. An n8n automation workflow template by Marth - Business Automation.

By vinci-king-01

Competitor Price Monitoring Dashboard with AI and Real-time Alerts 🎯 Target Audience E-commerce managers and pricing analysts Retail business owners monitoring competitor pricing Marketing teams tracking market positioning Product managers analyzing competitive landscape Data analysts conducting pricing intelligence Business strategists making pricing decisions 🚀 Problem Statement Manual competitor price monitoring is inefficient and often leads to missed opportunities or delayed responses to market changes. This template solves the challenge of automatically tracking competitor prices, detecting significant changes, and providing actionable insights for strategic pricing decisions. 🔧 How it Works This workflow automatically monitors competitor product prices using AI-powered web scraping, analyzes price trends, and sends real-time alerts when significant changes are detected. Key Components Scheduled Trigger - Runs the workflow at specified intervals to maintain up-to-date price data AI-Powered Scraping - Uses ScrapeGraphAI to intelligently extract pricing information from competitor websites Price Analysis Engine - Processes historical data to detect trends and anomalies Alert System - Sends notifications via Slack and email when price changes exceed thresholds Dashboard Integration - Stores all data in Google Sheets for comprehensive analysis and reporting 📊 Google Sheets Column Specifications The template creates the following columns in your Google Sheets: | Column | Data Type | Description | Example | |--------|-----------|-------------|---------| | timestamp | DateTime | When the price was recorded | "2024-01-15T10:30:00Z" | | competitor_name | String | Name of the competitor | "Amazon" | | product_name | String | Product name and model | "iPhone 15 Pro 128GB" | | current_price | Number | Current price in USD | 999.00 | | previous_price | Number | Previous recorded price | 1099.00 | | price_change | Number | Absolute price difference | -100.00 | | price_change_percent | Number | Percentage change | -9.09 | | product_url | URL | Direct link to product page | "https://amazon.com/iphone15" | | alert_triggered | Boolean | Whether alert was sent | true | | trend_direction | String | Price trend analysis | "Decreasing" | 🛠️ Setup Instructions Estimated setup time: 15-20 minutes Prerequisites n8n instance with community nodes enabled ScrapeGraphAI API account and credentials Google Sheets account with API access Slack workspace for notifications (optional) Email service for alerts (optional) Step-by-Step Configuration 1. Install Community Nodes Install required community nodes npm install n8n-nodes-scrapegraphai npm install n8n-nodes-slack 2. Configure ScrapeGraphAI Credentials Navigate to Credentials in your n8n instance Add new ScrapeGraphAI API credentials Enter your API key from ScrapeGraphAI dashboard Test the connection to ensure it's working 3. Set up Google Sheets Connection Add Google Sheets OAuth2 credentials Grant necessary permissions for spreadsheet access Create a new spreadsheet for price monitoring data Configure the sheet name (default: "Price Monitoring") 4. Configure Competitor URLs Update the websiteUrl parameters in ScrapeGraphAI nodes Add URLs for each competitor you want to monitor Customize the user prompt to extract specific pricing data Set appropriate price thresholds for alerts 5. Set up Notification Channels Configure Slack webhook or API credentials Set up email service credentials (SendGrid, SMTP, etc.) Define alert thresholds and notification preferences Test notification delivery 6. Configure Schedule Trigger Set monitoring frequency (hourly, daily, etc.) Choose appropriate time zones for your business hours Consider competitor website rate limits 7. Test and Validate Run the workflow manually to verify all connections Check Google Sheets for proper data formatting Test alert notifications with sample data 🔄 Workflow Customization Options Modify Monitoring Targets Add or remove competitor websites Change product categories or specific products Adjust monitoring frequency based on market volatility Extend Price Analysis Add more sophisticated trend analysis algorithms Implement price prediction models Include competitor inventory and availability tracking Customize Alert System Set different thresholds for different product categories Create tiered alert systems (info, warning, critical) Add SMS notifications for urgent price changes Output Customization Add data visualization and reporting features Implement price history charts and graphs Create executive dashboards with key metrics 📈 Use Cases Dynamic Pricing**: Adjust your prices based on competitor movements Market Intelligence**: Understand competitor pricing strategies Promotion Planning**: Time your promotions based on competitor actions Inventory Management**: Optimize stock levels based on market conditions Customer Communication**: Proactively inform customers about price changes 🚨 Important Notes Respect competitor websites' terms of service and robots.txt Implement appropriate delays between requests to avoid rate limiting Regularly review and update your monitoring parameters Monitor API usage to manage costs effectively Keep your credentials secure and rotate them regularly Consider legal implications of automated price monitoring 🔧 Troubleshooting Common Issues: ScrapeGraphAI connection errors: Verify API key and account status Google Sheets permission errors: Check OAuth2 scope and permissions Price parsing errors: Review the Code node's JavaScript logic Rate limiting: Adjust monitoring frequency and implement delays Alert delivery failures: Check notification service credentials Support Resources: ScrapeGraphAI documentation and API reference n8n community forums for workflow assistance Google Sheets API documentation for advanced configurations Slack API documentation for notification setup. An n8n automation workflow template by vinci-king-01.

By Akash Kankariya

🚀 Discover trending and viral YouTube videos easily with this powerful n8n automation! This workflow helps you perform bulk research on YouTube videos related to any search term, analyzing engagement data like views, likes, comments, and channel statistics — all in one streamlined process. ✨ Perfect for: Content creators wanting to find viral video ideas Marketers analyzing competitor content YouTubers optimizing their content strategy How It Works 🎯 1️⃣ Input Your Search Term — Simply enter any keyword or topic you want to research. 2️⃣ Select Video Format — Choose between short, medium, or long videos. 3️⃣ Choose Number of Videos — Define how many videos to analyze in bulk. 4️⃣ Automatic Data Fetch — The workflow grabs video IDs, then fetches detailed video data and channel statistics from the YouTube API. 5️⃣ Performance Scoring — Videos are scored based on engagement rates with easy-to-understand labels like 🚀 HOLY HELL (viral) or 💀 Dead. 6️⃣ Export to Google Sheets — All data, including thumbnails and video URLs, is appended to your Google Sheet for comprehensive review and easy sharing. Setup Instructions 🛠️ Google API Key Get your YouTube Data API key from Google Developers Console. Add it securely in the n8n credentials manager (do not hardcode). Google Sheets Setup Create a Google Sheet to store your results (template link is provided). Share the sheet with your Google account used in n8n. Update the workflow with your sheet's Document ID and Sheet Name if needed. Run the Workflow Trigger the form webhook via browser or POST call. Enter search term, format, and number of videos. Let it process and check your Google Sheet for insights! Features ✨ Bulk fetches the latest and top-viewed YouTube videos. Intelligent video performance scoring with emojis for quick insights 🔥🎬. Organizes data into Google Sheets with thumbnail previews 🖼️. Easy to customize search parameters via an intuitive form. Fully automated, no manual API calls needed. Get Started Today! 🌟 Boost your YouTube content strategy and stay ahead with this powerful viral video research automation! Try it now on your n8n instance and tap into the world of viral content like a pro 🎥💡. An n8n automation workflow template by Akash Kankariya.

By Aitor | 1Node

This automated n8n workflow streamlines lead qualification by taking structured lead data from Tally forms, enriching it with Qwen-3’s AI analysis, and promptly notifying your sales or delivery teams. It provides concise summaries, actionable insights, and highlights missing information to focus outreach efforts efficiently. The workflow includes security best practices to prevent prompt injections and ensures data integrity and privacy throughout. Requirements Tally Forms A Tally account with an active lead qualification form Webhook integration enabled to send form responses to n8n Qwen-3 Large Language Model API key and access to your chosen AI model via OpenRouter Gmail Notification Gmail account credentials connected in n8n Workflow Breakdown Trigger: Receive Tally form submission via n8n Webhook The workflow starts from a Webhook node listening for POST requests from your Tally form. Extract and map Tally form data Parse JSON to obtain fields like Company Name, Full Name, Work Email, Employee Count, Industry, Main Challenges Encountered, Goals With the Project, Urgency or Date When Solution Is Needed, Estimated Budget, and Anything Else We Should Know. Construct the Lead Qualification prompt Combine a secure system prompt with user data from the form. This prompt instructs Qwen-3 to generate summaries, identify key challenges, recommend action points, suggest follow-up questions, and more. Send notification with AI analysis Deliver the formatted message through your chosen channel(s) such as email or Slack, enabling your team to quickly act on qualified leads. Potential Improvements Capture Lead Role and Authority:** Add fields to the form for role and decision-making authority to improve lead qualification accuracy. Expand Notification Channels:** Include SMS or Microsoft Teams notifications alongside email and Slack for better team reach. Automate Lead Scoring:** Incorporate a numeric or qualitative lead score based on key input factors to prioritize follow-ups. Integrate CRM Task Creation:** Automatically create follow-up tasks or reminders in CRM systemss. 🙋‍♂️ Need Help? Feel free to contact us at 1 Node Get instant access to a library of free resources we created. An n8n automation workflow template by Aitor | 1Node.

By Sankalp Dev

Automated Marketing Analytics Report with AI Agent How it works Transform your marketing data into actionable insights with this intelligent automation workflow. The system combines scheduled triggers with AI-powered analysis to deliver comprehensive marketing reports directly to your inbox. Key Features: Scheduled automated reporting (daily, weekly, or monthly) AI-powered data analysis using advanced language models Multi-platform marketing data integration via GoMarble MCP Intelligent report generation with actionable recommendations Direct email delivery of formatted reports Set up steps Prerequisites: GoMarble MCP account and API access Gmail account for report delivery n8n instance (cloud or self-hosted) Configuration Time: ~15-20 minutes Step-by-step setup: Connect GoMarble MCP to n8n Follow the integration guide: GoMarble n8n Setup Configure your marketing platform credentials (Google Ads, Facebook Ads, Analytics) Configure the Schedule Trigger Set your preferred reporting frequency Choose optimal timing for data availability Customize the Report Prompt Define specific metrics and KPIs to track Set analysis parameters and report format preferences Set up AI Agent Configuration Choose between Anthropic Claude or OpenAI models Configure the GoMarble MCP tools for your marketing platforms Configure Gmail Integration Set recipient email addresses Customize email template and subject line Advanced Configuration: Add conditional logic for performance thresholds Include custom data visualization requests Set up alert triggers for significant metric changes What you'll get Automated Intelligence:** Regular marketing performance analysis without manual effort Cross-Platform Insights:** Unified view of Google Ads, Facebook Ads, and Analytics data AI-Powered Recommendations:** Strategic insights and optimization suggestions Professional Reports:** Well-formatted, executive-ready marketing summaries Scalable Solution:** Easy to extend with additional marketing platforms or custom metrics Perfect for marketing teams, agencies, and business owners who want to stay on top of their marketing performance with minimal manual work. An n8n automation workflow template by Sankalp Dev.

By Vadym Nahornyi

This workflow automatically transcribes audio files, translates the content between languages, and generates natural-sounding speech from the translated text - all in one seamless process. Who's it for Content creators, educators, and businesses needing to make their audio content accessible across language barriers. Perfect for translating podcasts, voice messages, lectures, or any audio content while preserving the spoken format. How it works The workflow receives an audio file through a webhook, transcribes it using OpenAI's Whisper, translates and structures the text with GPT-4, generates new audio in the target language, and stores it in S3 for easy access. The entire process takes seconds and returns both the transcribed/translated text and a URL to the translated audio file. How to set up Configure OpenAI credentials - Add your OpenAI API key for Whisper transcription and GPT-4 translation Set up AWS S3 - Create a bucket with public read permissions for audio storage Update configuration - Replace 'YOUR-BUCKET-NAME' with your actual S3 bucket name Activate webhook - Deploy and copy your webhook URL for receiving audio files Send a POST request with: Binary audio file (as 'audiofile') Languages parameter (e.g., "English, Spanish") Requirements OpenAI API account with access to Whisper and GPT-4 AWS account with S3 bucket configured Basic understanding of webhooks and API requests How to customize Add language detection** - Automatically detect source language if not specified Customize voice settings** - Adjust speech speed, pitch, or select different voices Add file validation** - Implement size limits and format checks Enhance security** - Add webhook authentication and rate limiting Extend functionality** - Add subtitle generation or multiple output formats. An n8n automation workflow template by Vadym Nahornyi.

By Gerald Denor

🎥 YouTube to LinkedIn Poster – n8n Workflow Template Turn any YouTube video into a high-performing LinkedIn post — automatically. This AI-powered n8n workflow takes a YouTube video ID, fetches the transcript using SearchAPI.io, and transforms it into a professional, engaging LinkedIn post using OpenAI (via OpenRouter). Customize the writing style, automate your content repurposing, and scale your thought leadership. ⚡ What It Does 📥 Accepts a YouTube video ID + preferred writing profile 📄 Retrieves transcript via SearchAPI.io 🧠 Uses LLM (OpenRouter / GPT-compatible) to generate a polished LinkedIn post ✍️ Supports writing style customization (e.g., educational, inspirational, storytelling) 🔁 Handles fallback if no transcript is found 📦 What’s Included ✅ Webhook-based trigger (compatible with any frontend) ✅ YouTube transcript fetcher using SearchAPI.io ✅ Conditional logic to handle errors ✅ OpenAI content generation node with injected personality prompt ✅ Clean text response via webhook 🛠 Requirements 🧠 n8n (self-hosted or cloud) 🔐 API key for SearchAPI.io 🧠 OpenRouter API key (free or paid) 🌐 A frontend form (e.g. WordPress + fetch(), Fillout, Postman, etc.) 🚀 Installation Guide Import the Workflow Go to your n8n dashboard Click Import and upload the JSON file Configure SearchAPI Sign up at SearchAPI.io Add your API key inside the HTTP Request node labeled Get YouTube Transcript Set Up OpenRouter Go to Credentials → Add a new OpenRouter API credential Paste your API key from OpenRouter.ai Test with Postman or UI Send a POST to the webhook URL with JSON: { "video_id": "T1nX2yDeSzM", "llm_profile": "educational tone" } 🧩 Customizing 🎨 Change llm_profile to match different tones (e.g., "inspirational", "founder voice", "storyteller") 🔗 Integrate output directly into LinkedIn via a social media scheduler API ✏️ Edit the prompt in the OpenAI node for different content types (Twitter threads, blog intros) 🚨 Add rate limiting or credit logic using WordPress + myCred or n8n queue control 💡 Use Cases Content repurposing agency automating short-form content from videos Personal brand managers scaling 1 → many posts from long-form video Micro-SaaS founders turning webinars, tutorials, and walkthroughs into professional posts YouTube creators expanding audience reach on LinkedIn 🚀 How I Used It in My MicroSaaS I used this exact workflow as the backend for a lead magnet SaaS tool that converts YouTube videos into LinkedIn posts. With a simple UI and webhook, users paste a video link, choose a tone, and instantly receive a high-quality post they can copy and share. It increased lead generation and engagement while costing nothing in backend dev. Check it out here: Youtube -> LinkedIn Post The best part? I only used: n8n + Webhook SearchAPI.io OpenRouter API A WordPress front-end with credit gating 📩 Questions? DM me on Twitter or reach out via email for setup help or white-label licensing: https://www.linkedin.com/in/gerald-akhidenor-1ab1a45/ or denorgerald@gmail.com. An n8n automation workflow template by Gerald Denor.

By Fahmi Fahreza

Quick overview This workflow automatically processes job applications received via Gmail. It extracts the job code from the email subject and parses the attached CV using Gemini AI to retrieve applicant details.Each applicant is then scored against job requirements fetched from Airtable, with results and AI notes logged automatically to Applications table. How it works The workflow watches for new emails with attachments arriving under a specified Gmail label and triggers automatically on each new match. The job code is extracted from the email subject line (e.g., FN-001) and raw text is extracted from the attached CV PDF file. Gemini AI parses the extracted CV text and returns structured applicant data including name, email, years of experience, and skills. The extracted job code is used to retrieve the matching job post details and requirements from your Airtable Job Posts table. Gemini compares the applicant's profile against the job requirements, assigns a score from 1–100, and generates a brief reasoning summary in Bahasa Indonesia. The applicant's data, score, and AI-generated notes are saved as a new record in the Airtable Applications table. Setup Prepare your Airtable base with two tables: Job Posts (Job Code, Job Title, Required Skills, Minimum Experience, Job Description) and Applications (Applicant Name, Email, Score, Notes) with a linked field pointing to Job Posts. Add your Gmail, Google AI (Gemini), and Airtable credentials in the n8n Credential Manager before configuring any nodes. Open the Gmail Trigger node and set your label filter (e.g., label:job-applications). In the Extract Job Code node, verify the regex matches your format — default is ([A-Z]{2}-\d{3}). Open both the Find Job Post and Save Applicant Airtable nodes and select your correct base and table in each. Save and activate the workflow — new CV submissions will now be processed, scored, and logged to Airtable automatically. Additional info Published by Fahmi Fahreza, Indonesia’s first official n8n Brand Ambassador and founder of WithMi Automation, built from real client implementations, not tutorials. → Let us build it for you: withmiautomation.com → Learn to build it yourself: academy.withmiautomation.com → Bring Fahmi to your team (training, workshop, talkshow): fahmiiireza.com. An n8n automation workflow template by Fahmi Fahreza.

By Parth Pansuriya

Automate Amazon searches to Telegram with AI-powered scraping This workflow connects Amazon product lookups to Telegram using AI-enhanced scraping and automation. It lets users send a product name to a Telegram bot and instantly receive pricing, discount, and product links — all pulled dynamically from Amazon. Who’s it for Amazon affiliates Telegram shopping groups Product reviewers & resellers Deal-focused communities Anyone wanting fast price checks without browsing How it works Telegram Trigger receives messages from the user. AI Classifier (via OpenRouter & LangChain) detects whether the user is asking for a product. If yes, it sends the query to Apify's Amazon Scraper to fetch real product listings. The scraped data (price, discount, rating, link) is formatted into a Telegram response. If not a product query, an AI fallback response is sent instead. Requirements Telegram Bot Token Apify API Token OpenRouter API Key (or compatible LLM provider). An n8n automation workflow template by Parth Pansuriya.

By Vadym Nahornyi

> ⚠️ Multi-language WhatsApp Error Notifier Get instant WhatsApp alerts when any workflow fails — perfect for mobile-first monitoring and fast incident response. ✅ No coding required ✅ Works with any workflow via Error Workflow ✅ Step-by-step setup instructions included in: 🇬🇧 English 🇪🇸 Español 🇩🇪 Deutsch 🇫🇷 Français 🇷🇺 Русский 📦 What This Template Does This template sends real-time WhatsApp notifications when a workflow fails. It uses the WhatsApp Business Cloud API to deliver a preformatted error message directly to your phone. The message includes: Workflow name Error message Last executed node Example message: Error on WorkFlow: {{ $json.workflow.name }} Message: {{ $json.execution.error.message }} lastNodeExecuted: {{ $json.execution.lastNodeExecuted }} ⚙️ Prerequisites Before using this template, make sure you have: A verified Facebook Business account Access to WhatsApp Business Cloud API A sender phone number (registered in Meta) An access token (used as credentials in n8n) A pre-approved message template (or be within the 24h session window) More info from Meta Docs → 🚀 How to Use Open the template and insert your WhatsApp credentials Enter your target phone number (e.g. your own) in international format Customize the message body if needed Save the workflow but do not activate it In any other workflow → open Settings → set this as your Error Workflow 🌐 Multi-language Setup Guide Included This template includes full setup instructions with screenshots and message formatting help in: 🇬🇧 English 🇪🇸 Español 🇩🇪 Deutsch 🇫🇷 Français 🇷🇺 Русский Choose your language inside the embedded sticky note in the workflow. An n8n automation workflow template by Vadym Nahornyi.

By Open Paws

🎯 Who's it for ESG analysts, investors, procurement teams, activists and sustainability professionals who need comprehensive, objective assessments of companies' environmental impact and animal welfare policies. Perfect for: Due diligence and investment screening Supplier evaluation and ethical sourcing Compliance reporting and ESG benchmarking Consumer guidance for ethical purchasing decisions ⚡ How it works This workflow automates the entire research and analysis process for comprehensive sustainability and animal welfare assessment. Simply input a company name, and the system handles everything: 🔍 Multi-Source Research: Calls a specialized subworkflow that queries: Open Paws database for animal welfare data Web scraping for sustainability reports Search engines for recent developments Social media monitoring for real-time insights 🤖 Parallel AI Analysis: Two specialized chains process data simultaneously: Structured scoring** with percentages and letter grades (A+ to D) Detailed HTML reports** with narrative analysis and insights 📊 Complete Assessment: Final output combines both formats for actionable intelligence on: Environmental policies and carbon footprint Animal welfare practices and ethical sourcing Vegan accommodation and plant-based initiatives 📋 Requirements Prerequisites: Download the research subworkflow from **Multi-Tool Research Agent for Animal Advocacy with OpenRouter, Serper & Open Paws DB and save it in your n8n instance API key for OpenRouter or other AI service provider 🚀 How to set up Install Research Subworkflow: First download the Multi-Tool Research Agent for Animal Advocacy with OpenRouter, Serper & Open Paws DB and import it into your n8n instance Configure API Keys: Set up your AI service credentials in the LLM nodes Link Subworkflow: Connect the Research Agent node to reference your installed research subworkflow Test Connection: Verify the research tools and databases are accessible Run Test: Input a well-known company name to validate the complete pipeline 🛠️ How to customize the workflow Scoring Weights**: Adjust percentage weightings for environmental impact, animal welfare, and vegan accommodation Research Sources**: Modify the subworkflow to include additional databases or exclude certain sources Output Format**: Customize the HTML report template or JSON schema structure Grading Scale**: Change letter grade thresholds (A+, A, B+, etc.) in the scoring logic Assessment Focus**: Adapt prompts to emphasize specific sustainability or animal welfare aspects for your industry. An n8n automation workflow template by Open Paws.

By Jacob

Facebook Ads Reporting Automation — Automatically Fetch & Sync Campaign Statistics This automation enables you to automatically fetch daily campaign data from Facebook Ads without manual exports. It requires connection to the Facebook Graph API and a Google Sheets account where all data is stored and updated in real time. How does it work? The workflow connects to your Facebook Ads account via the Facebook Graph API to retrieve the latest campaign data, including campaign status, spend, results, reach, and other key performance metrics. Retrieved data is automatically synced to a Google Sheets spreadsheet, making it easy to analyze, report, and share with your team or clients. The automation runs daily at a scheduled time, ensuring your campaign stats are always up-to-date. What can you use it for? Efficiently track Facebook Ads performance without manual data handling. Generate real-time reports for marketing teams or clients. Quickly identify trends and optimize ad spend based on fresh data. Centralize data from multiple campaigns for better decision-making. Requirements: Active Facebook Ads account with access to Facebook Graph API credentials. Facebook App with ads_read permissions and a valid access token Google account with permission to use Google Sheets. Basic setup of API credentials and Google Sheets integration. Create a new spreadsheet and name it (e.g., Facebook Campaign Stats). In the first row, create the following column headers (exact order required): | Id Campaign | Campaign name | Campaign status | Statistic | Impressions | Clicks | CPC | CTR | Conversions | Cost per conversion | Spend money | From | To | Make sure the sheet is editable by the automation and accessible via Google Sheets API (OAuth2 or service account). contact: contact@streamlinemakers.com. An n8n automation workflow template by Jacob.

By Basil Irfan

Transform YouTube Videos to Social Media Content with Vizard AI and GPT‑4.1 Overview This n8n template fetches new YouTube videos, enriches them with Vizard AI metadata, generates social‑media captions using GPT‑4.1, logs everything to Google Sheets, and notifies you by email. It’s a turnkey solution for content creators and marketers who need an end‑to‑end automated pipeline from video publishing to post scheduling. Setup Instructions Import the Template In n8n, click Import from JSON, paste this workflow, and save. Configure Credentials Vizard AI: Create an HTTP Request credential named Vizard API and set your VIZARDAI_API_KEY. OpenAI: Add a new OpenAI credential for GPT‑4.1. Google Sheets: Create a Google Sheets OAuth2 credential with read/write access or just sign in if your on cloud hosting Gmail: Add a Gmail OAuth2 credential for email notifications or just sign in if you are on cloud hosting Adjust Limits In the Limit Videos node, set maxItems to control batch size. Google Sheets Column Structure | Column | Description | | ------------------ | ---------------------------------------------------- | | videoId | Unique YouTube video identifier | | projectId | Vizard AI project ID returned | | videoUrl | Original YouTube video URL | | title | Video title | | transcript | Transcribed text from Vizard AI | | viralScore | Vizard AI’s viral‑score metric | | viralReason | Explanation for viral score | | generatedCaption | GPT‑4.1–generated caption in JSON { "caption": ""} | | clipEditorUrl | URL to Vizard’s clip editor | Workflow Steps Read YouTube RSS Feed (Read YouTube RSS Feed) Limit Videos (Limit Videos to N) Send to Vizard (Create Vizard Project & Retrieve Vizard Metadata) Split Items for Processing (Iterate Each Video) Generate Captions (Generate Social Media Captions) Append Row in Sheet (Log to Google Sheets) Send Notification (Email Summary) Customization Tips Alternate Caption Styles**: Modify the AI prompt for tone, length, or brand voice. Localization**: Extend prompts for other languages. Notification Channels**: Swap Gmail for Slack, Teams, or SMS via webhook nodes. An n8n automation workflow template by Basil Irfan.

By Saswat Saubhagya Rout

📝 Use Case This n8n workflow automates the creation and publication of technical blog posts based on a list of topics stored in Google Sheets. It fetches context using Tavily and Wikipedia, generates Markdown-formatted content with Gemini AI, commits it to a GitHub repository, and updates a Jekyll-powered blog — all without manual intervention. Ideal for developers, bloggers, or content teams who want to streamline technical content creation and publishing. ⚙️ Setup Instructions 🔑 Prerequisites n8n (cloud or self-hosted) Tavily API key Google Sheets with blog topics Gemini (Google Palm) API key GitHub repository (Jekyll enabled) GitHub OAuth2 credentials Google OAuth2 credentials 🧩 Setup Steps Import the workflow JSON into your n8n instance. Set up the following credentials in n8n: Tavily API Google Sheets OAuth2 Google Palm/Gemini AI GitHub OAuth2 Prepare your Google Sheet: Columns: Title, status, row_number Set status to blank for topics to be picked up. Configure: GitHub repo and _posts/ path Jekyll setup (front matter, _config.yml, GitHub Pages) Adjust prompt/custom parameters if needed. Enable and deploy the workflow. Schedule it daily or trigger manually. 🔄 Workflow Details | Node | Function | |------|----------| | Schedule Trigger | Triggers the flow at a set interval | | Google Sheets (Get Topic) | Fetches the next incomplete blog topic | | Extract Topic | Parses topic text from the sheet | | Tavily Search | Gathers up-to-date content related to the topic | | Wikipedia Tool | Optionally adds more context or images | | Summarize Results | Formats the context for the AI | | Gemini AI Agent (LangChain) | Generates a Markdown blog post with YAML front matter | | Set File Parameters | Prepares the filename, content, and commit message | | GitHub Commit | Uploads the .md file to the _posts/ directory | | Update Google Sheet | Marks topic as done after successful commit | 🛠️ Customization Options Change LLM prompt (e.g. tone, depth, format). Use OpenAI instead of Gemini by switching nodes. Modify filename pattern or GitHub repo path. Add Slack/Discord notifications after publish. Extend flow to upload images or embed YouTube links. ⚠️ Community Nodes Used This workflow uses the following community nodes: @tavily/n8n-nodes-tavily.tavily – for deep search > ⚠️ Ensure these are installed and enabled in your n8n instance. 💡 Pro Tips Use GitHub Actions to trigger an automatic Jekyll build post-commit. Structure blog posts with front matter, headings, and table of contents for SEO. Set Schedule Trigger to daily at a fixed time to keep content flowing. Enhance formatting in AI output using code blocks, images, and lists. ✅ Example Output title: "How LLMs Are Changing Web Development" date: "2025-07-25" categories: [webdev, AI] tags: [LLM, Gemini, n8n, automation] excerpt: "Learn how LLMs like Gemini are transforming how we generate and deploy developer content." author: "Saswat Saubhagya" Table of Contents Introduction Understanding LLMs Use Cases in Web Development Challenges Conclusion ... An n8n automation workflow template by Saswat Saubhagya Rout.

By Adnan Tariq

👤 Who it’s for Blue Team leads, CISOs, and SOC managers who want automated visibility into threat metrics, endpoint alerts, and response actions — without needing a full SIEM or BI platform. Great for teams using Modules 1–5 and now ready to report, review, or share BlueOps data across stakeholders. ⚙️ How it works / What it does Fetches threat + response data from up to 5 Google Sheets Aggregates data into four key slices: summary_metrics: Total threats, actions, endpoints daily_trends: Time-based charting top_assets: High-risk endpoints or systems actions_taken: Logged IR activity Generates a clean HTML report and sends via email Logs report summary to a central reporting tracker sheet Optionally converts and stores PDF versions or links 🛠️ How to set up Google Sheets: Connect your live sheets from previous BlueOps modules (M1–M5) Email Setup: Insert sender credentials and recipient(s) Customize Your Charts: Edit the “📈 Format Charts” and “📋 Structure Report Body” nodes Trigger Options: Run weekly, monthly, or on-demand via Webhook/Cron Add PDF Generator (Optional): Use Puppeteer, HTML → PDF services, or internal scripts 📋 Requirements Google account with access to all BlueOps logs SMTP or Gmail access for report delivery Optional: PDF storage service or HTML → PDF logic Previous modules (M1–M5) to populate threat/response data 🧩 How to customize the workflow Swap out Google Sheets for Supabase or Notion Modify visual output (color, layout, sections) using HTML nodes Export to Airtable, Slack, or external BI tools Add chart images using ChartJS, QuickChart API, or CloudConvert 📦 This module is modular, professional, and presentation-ready. All sections are labeled, editable, and safe for team-wide sharing. 📈 This module is the final piece of the CYBERPULSEBlueOps automation suite. Get the full reporting engine and link with live BlueOps modules at 👉 cyberpulsesolutions.com/blueops. An n8n automation workflow template by Adnan Tariq.

By Marth - Business Automation

How It Works ⚙️ This workflow automates the entire lead management lifecycle, from initial capture and qualification to agent assignment and personalized nurturing, ensuring no lead is left behind and agents focus on high-potential prospects. 0. Webhook / Form Trigger (Lead Capture): 🚀 The workflow initiates immediately when a new lead submits an inquiry form on your website, a landing page, or via a webhook from an external lead source (e.g., Zillow, Realtor.com if integrated). 1. Qualify & Categorize Lead (Function / If): 📝 This node processes the incoming lead data. It can: Validate essential information (e.g., valid email/phone). Categorize the lead based on source, property interest, or keywords in their message (e.g., "Buyer", "Seller", "Rental Inquiry", "Hot Lead"). Assign a preliminary "lead score" if desired. 2. Update CRM (HubSpot / Salesforce / Custom): 📊 The lead's details, along with their assigned category and score, are immediately pushed to your Customer Relationship Management (CRM) system. This ensures a centralized and always-updated database. 3. Assign Agent (Function / Google Sheets Lookup): 🧑‍💻 Based on the lead's category (e.g., location interest, property type, lead score), this node dynamically assigns the lead to the most appropriate agent in your team. This can involve looking up agent availability or specialization from a Google Sheet. 4. Initial Auto-Response (Gmail / SendGrid): 📧 An immediate, personalized email is sent to the lead. The content of this email can vary based on the lead's category (e.g., a "Thank you for your inquiry" for a general lead, or "Here's more info on [Property Name]" for a specific property inquiry). 5. Notify Assigned Agent (Slack / Gmail): 📢 The newly assigned agent receives an instant notification via Slack or email with all the lead's details and any assigned tasks or next steps. 6. Start Nurturing Sequence (Wait / Gmail / If): 🔄 Based on the lead's category and score, a multi-stage nurturing sequence is initiated. This typically involves: Wait Node: Pauses for a predefined period (e.g., 3 days, 7 days). Email Node: Sends a follow-up email with relevant information (e.g., similar properties, neighborhood guides). If Node: Checks if the lead has responded or taken any action (e.g., opened previous email, clicked a link) to decide the next step in the sequence, or to exit the sequence if the lead has been engaged by an agent. This part can be significantly expanded. How to Set Up 🛠️ Setting up this comprehensive workflow requires careful configuration of each node and understanding of your lead management rules. Import Workflow JSON: Open your n8n instance. Click on 'Workflows' in the left sidebar. Click the '+' button or 'New' to create a new workflow. Click the '...' (More Options) icon in the top right. Select 'Import from JSON' and paste the entire JSON code for this workflow. Prepare Your Data Sources & Tools: Lead Capture Form/Source: Ensure your website forms or external lead sources can send data to a webhook or are accessible via API. CRM System: Have your CRM (e.g., HubSpot, Salesforce, or a custom Google Sheet/Airtable setup) ready for integration. You'll need API keys/credentials. Agent Assignment Logic (Optional Google Sheet): If using rules-based assignment, prepare a Google Sheet listing agents, their specialties, and areas. Email Sending Service: Gmail, SendGrid, Mailchimp, etc., with necessary credentials. Internal Communication Tool: Slack or another email account for agent notifications. Configure 0. Webhook (Lead Capture): Locate the '0. Webhook (Lead Capture)' node. Activate the workflow once it's fully configured. n8n will provide a unique 'Webhook URL'. Crucial Step: Configure your website forms or external lead sources to send data (usually JSON) to this 'Webhook URL' whenever a new lead is captured. Test Data: Submit a test lead through your form to see the incoming data structure in n8n. This is vital for configuring subsequent nodes accurately. Configure 1. Qualify & Categorize Lead (Function): Locate the '1. Qualify & Categorize Lead (Function)' node. Customize Logic: Review the functionCode within this node. Adjust lead.name, lead.email, lead.phone, lead.message, lead.source to accurately match the field names coming from your webhook trigger. Implement or refine the simple categorization logic (e.g., if (message.toLowerCase().includes('buy'))) to fit your specific lead types and scoring criteria. Output new data points like leadCategory and leadScore. Configure 2. Update CRM (Google Sheets): Locate the '2. Update CRM (Google Sheets)' node. Credentials: Set up or select your Google Sheets OAuth2 credential. Spreadsheet ID: Replace YOUR_CRM_SPREADSHEET_ID with the ID of your Google Sheet serving as your CRM. Sheet Name: Enter the exact name of the sheet (tab) (e.g., Leads). Operation: Ensure it's set to Append. Map Data: Map the extracted lead details (name, email, phone, message, source, leadCategory, leadScore, captureDate, assignedAgentEmail, assignedAgentName, Status) to the corresponding column headers in your Google Sheet. Ensure the column names in the JSON match your sheet exactly. Configure 3. Assign Agent (Function): Locate the '3. Assign Agent (Function)' node. Customize Logic: Review the functionCode. Agent Data: The example uses hardcoded agents. For a real system, you'd likely fetch agents from another Google Sheet (using a Google Sheets node before this function) or an internal database. Assignment Rules: Modify the logic to fit your team's assignment rules (e.g., round-robin, based on lead category, property location, agent availability). Ensure the function outputs assignedAgentEmail and assignedAgentName. Configure 4. Initial Auto-Response (Gmail): Locate the '4. Initial Auto-Response (Gmail)' node. Credentials: Select your existing Gmail OAuth2 credential. From Email: Replace your-agency-email@example.com with your actual sending email address. To Email: ={{ $json.email }} (the lead's email from the incoming data). Subject & HTML: Customize the subject and email body. Use expressions like {{ $json.name }} for personalization. Remember to replace [YOUR_WEBSITE_LINK] with your actual website link. Configure 5. Notify Assigned Agent (Slack): Locate the '5. Notify Assigned Agent (Slack)' node. Credentials: Select your existing Slack API credential. Channel: Replace YOUR_SLACK_CHANNEL_ID_OR_NAME with the Slack channel where you want notifications (e.g., #new-leads or a specific agent's channel if you have one per agent). Text: Customize the message to include all relevant lead details for the agent. Remember to replace [CRM_LINK_HERE] with a direct link to your CRM where the agent can view the lead. Configure 6. Nurturing Sequence - Wait 1: Locate the '6. Nurturing Sequence - Wait 1' node. Amount & Unit: Adjust amount (e.g., 3) and unit (e.g., days) to define the waiting period before the first nurturing email. Configure 7. Nurturing Sequence - Email 1 (Gmail): Locate the '7. Nurturing Sequence - Email 1 (Gmail)' node. Credentials: Select your Gmail OAuth2 credential. From Email: Replace your-agency-email@example.com with your actual sending email. To Email: ={{ $json.email }}. Subject & HTML: Customize the follow-up email content. This is your first nurturing touchpoint. Use expressions like {{ $json.name }}. You can add more nurturing steps by adding more 'Wait' and 'Gmail' nodes, potentially with 'If' nodes to branch based on lead engagement. Review and Activate: Thoroughly review all node configurations. Ensure all placeholder values (like YOUR_... and example emails) are replaced with your actual information. Click the 'Save' button in the top right corner. Finally, toggle the 'Inactive' switch to 'Active' to enable your workflow. 🟢 Your "Comprehensive Lead Nurturing & Qualification" workflow is now live!. An n8n automation workflow template by Marth - Business Automation.

By Adnan Tariq

👤 Who it’s for SOC teams, incident responders, or solo defenders who need to automatically act on critical threats without manual triage. Ideal for BlueOps users who’ve already classified alerts via GPT (Module 4) and want to auto-execute response steps like email alerts, logging, or EDR isolation. ⚙️ How it works / What it does Reads critical alerts from a classified incident log (e.g., Module 4 output) Filters alerts by severity = Critical Sends alert summary via email (custom HTML formatting) Logs all details to a central incident response sheet Optionally sends a request to your EDR/Isolation API (e.g. CrowdStrike or simulated API) 🛠️ How to set up Replace Placeholder API Key Swap in your secure ISOLATION_API_KEY from your EDR or proxy tool Update Email Settings Insert your FROM_EMAIL and TO_EMAIL credentials in the Email node Connect Sheets Authorize access to both your Classified Alerts sheet and Incident Log sheet Schedule the Run Default trigger is weekly — change it to run hourly, on webhook, or via logic hook 📋 Requirements EDR or endpoint proxy API accepting POST requests Open or pre-classified incident sheet (Module 4 required) SMTP email provider or Gmail API access Google Sheets or internal DB to log actions 🧩 How to customize the workflow Replace Google Sheets with Supabase or your internal SQL Swap email alerts with ticketing system (e.g., Jira or Slack alerts) Trigger downstream actions (e.g. auto-pause cloud assets) Modify aggregation or isolation logic to your threat model 📦 This is a live-fire auto-responder workflow. Make sure to test with dummy data before enabling full EDR triggers. All sensitive variables are clearly marked with placeholders. 🚨 This module is part of the CYBERPULSEBlueOps Pro Incident Response Suite. View the full lineup at 👉 cyberpulsesolutions.com/blueops. An n8n automation workflow template by Adnan Tariq.

By Adnan Tariq

👤 Who it’s for Blue Team leads, SOC analysts, and IT responders looking to automatically classify security alerts using AI-driven logic and asset-based risk signals. Ideal for teams already scoring threats via CyberScan or BlueOps Module 3, and needing to prioritize next steps across Monitor / Investigate / Isolate / Escalate playbooks. ⚙️ How it works / What it does Reads recent endpoint alerts from Google Sheets Sends alert data (hostname, IP, risk score) to OpenAI GPT model GPT returns structured JSON with: severity tag (Low / Medium / High / Critical) action recommendation (Monitor / Investigate / Isolate / Escalate) Logs the full result to a centralized incident sheet Can be expanded to trigger automated EDR actions or email alerts 🛠️ How to set up Insert OpenAI API Key Replace placeholder with your actual OpenAI secret in the HTTP Request node Connect Sheets Use your OAuth2 credentials to access the alerts input + classified log sheet Tune GPT Prompt Adjust language or risk thresholds inside the 🧠 Classify Incident (GPT) node Automation Add a Cron node or Webhook to run every X minutes/hours 📋 Requirements OpenAI API key (GPT-4 or GPT-3.5 supported) Google Sheets (or similar DB with alerts) n8n credentials for Sheets access Optional: Connected playbook actions or EDR endpoint logic 🧩 How to customize the workflow Swap GPT with Claude, Gemini, or local LLM via API Replace Google Sheets with Supabase or Airtable Add a playbook router for Notify / Isolate logic Integrate email or ticketing notification step 📦 This is a production-grade, AI-powered classification engine. All inputs and tags are configurable. Safe placeholders are marked clearly. 📘 This module is part of the CYBERPULSEBlueOps Pro automation suite. Explore the full set at 👉 cyberpulsesolutions.com/blueops. An n8n automation workflow template by Adnan Tariq.

By Adnan Tariq

👤 Who it’s for Security teams, SOC analysts, and small-to-mid IT teams looking to automatically assess endpoint risk by combining known vulnerabilities with internal asset value and dynamic threat indicators. Perfect for teams using Google Sheets or CSV asset inventories who want to prioritize incidents based on true business risk — not just raw CVE scores. ⚙️ How it works / What it does Fetches endpoint-specific CVE data from prior modules or external feeds Loads enriched internal asset inventory (IP, department, criticality, etc.) Calculates risk score using a weighted formula: (CVE severity × Asset risk rating × Exposure coefficient) Applies custom playbook rules to determine action level (Notify / Investigate / Isolate) Outputs filtered, triaged list of high-risk endpoints Logs results to active and historical threat sheets Sends summary email alerts based on final triaged list 🛠️ How to set up Google Sheets: Connect your enriched asset inventory and endpoint vulnerability input sheets using your OAuth2 credentials Edit Thresholds: Adjust scoring logic or thresholds in the “🔎 Risk Score Calculator” node Email Alerts: Add your sender credentials and customize recipient address list Automation Trigger: Optional: Add a Cron node or Webhook to run this aggregator hourly/daily Review sticky notes: All logic is labeled clearly with setup instructions 📋 Requirements Google account + access to n8n Google Sheets integration Vulnerability scan output (from CyberScan or external CVE feed) Enriched asset inventory with basic scoring fields (asset value, criticality) SMTP or email alert service (optional) 🧩 How to customize the workflow Replace Google Sheets with Supabase, Airtable, or internal DB Add columns for department ownership, system type, or live agent signals Integrate with EDR/XDR system or incident tracking tool Expand the playbook to include automatic isolation triggers 📦 This is a clean, production-ready version with no sensitive data. Placeholders are clearly marked. 🔐 This module is part of the CYBERPULSEBlueOps Pro Pack. Get access to advanced automation, isolation triggers, full asset triage logic, and instant download at 👉 cyberpulsesolutions.com/blueops. An n8n automation workflow template by Adnan Tariq.

By Adnan Tariq

👤 Who it’s for Blue teamers, SOC operators, cyber analysts, and SME defenders who want to automatically enrich daily CVE/IOC threats by matching them to their internal asset database. Ideal for compliance-driven teams (NIST CSF, Essential Eight) seeking automated enrichment and alert routing. ⚙️ How it works / What it does Loads current threat data from Sheet or Module 1 output Loads internal asset database from Google Sheets Merges based on matching IP fields Calculates impact score (threat score × asset value) Applies basic playbook logic to classify action Sends summary emails for matched threats Logs to archived and live threat monitoring sheets Built with modular, no-code logic and alerting support 🛠️ How to set up Google Sheets: Authenticate your Google account (OAuth2) and set your Asset DB and Threats log sheet IDs. Email: Add sender/recipient addresses and SMTP credentials. Customize Matching Logic: Adjust enrichment rule in the “🧠 Match Threats to Assets” node. Triggers: Add a Cron node or Webhook to schedule the enrichment job. Review sticky notes: All steps are explained clearly within the workflow nodes. 📋 Requirements Google Sheets with asset inventory + threat log Google account with Sheets API access SMTP service (Gmail, Mailgun, SendGrid, etc.) Optional: OpenAI for dynamic playbook scoring (if extending logic) 🧩 How to customize the workflow Replace Google Sheets with Supabase, Airtable, or Postgres Extend enrichment rule to include hostname or UUID matching Fine-tune scoring logic by severity, CVSS, or business unit Route alerts via Slack, Discord, or n8n Webhook endpoints Add conditional routing for alert suppression or review queues 📦 No sensitive data included. All credentials and sheet IDs are placeholders. 🔐 This module is part of the CYBERPULSEBlueOps Pro Pack. For full access to advanced Blue Team automations, visit cyberpulsesolutions.com/blueops. An n8n automation workflow template by Adnan Tariq.

By inderjeet Bhambra

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works? This workflow is an intelligent SEO analysis pipeline that ethically scrapes blog content and performs comprehensive SEO evaluation using AI. It receives blog URLs via webhook, validates permissions through robots.txt compliance, extracts content, and generates detailed SEO insights across four strategic dimensions: Content Optimization, Keyword Strategy, Technical SEO, and Backlink Building potential. The system prioritizes ethical web scraping by checking robots.txt permissions before proceeding, ensuring compliance with website policies. Upon successful analysis, it returns a structured JSON report with actionable SEO recommendations, performance scores, and optimization strategies. Technical Specifications Trigger: HTTP POST webhook Processing Time: 30-60 seconds depending on content size AI Model: GPT-4.1 minimum with specialized SEO analysis prompt. Output Format: Structured JSON Error Handling: Graceful failure with informative messages Compliance: Respects website robots.txt policies. An n8n automation workflow template by inderjeet Bhambra.

By Incrementors

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 📦 Multi-Platform Price Finder: Scraping Prices with Bright Data & Telegram An intelligent n8n automation that fetches real-time product prices from marketplaces like Amazon, Wayfair, Lowe's, and more using Bright Data's dataset, and sends promotional messages via Telegram using AI—perfect for price tracking, deal alerts, and affiliate monetization. 📋 Overview This automation tracks product prices across top e-commerce platforms using Bright Data and sends out alerts via Telegram based on the best available deals. The workflow is designed for affiliate marketers, resellers, and deal-hunting platforms who want real-time competitive pricing. ✨ Key Features 🔎 Multi-Platform Scraping: Supports Amazon, Wayfair, Lowe's, and more ⚡ Bright Data Integration: Access to structured product snapshots 📢 AI-Powered Alerts: Generates Telegram-ready promo messages using AI 🧠 Lowest Price Logic: Filters and compares products across sources 📈 Data Merge & Processing: Combines multiple sources into a single stream 🔄 Keyword-Driven Search: Searches using dynamic keywords from form input 📦 Scalable Design: Built for multiple platform processing simultaneously 🧼 Clean Output: Strips unnecessary formatting before publishing 🎯 What This Workflow Does Input Search Keywords**: User-defined keyword(s) from a form trigger Platform Sources**: Wayfair, Lowe's, Amazon, etc. Bright Data API Key**: Needed for authenticated scraping Processing Steps User Input via n8n form trigger (keyword-based) Bright Data API Trigger for each marketplace Status Polling: Wait until scraping snapshot is ready Data Retrieval: Fetches JSON results from Bright Data snapshot Data Cleaning & Normalization: Price, title, and URL are extracted Merging Products from all platforms Find Lowest Price Product using custom JS logic AI Prompt Generation via Claude/Anthropic Telegram Formatting and alert message creation Output 🛍️ Product Title 💰 Final Price 🔗 Product URL ✉️ Promotional Message (for Telegram/notifications) 🚀 Setup Instructions Step 1: Import Workflow Open n8n > Workflows > + Add Workflow Import the provided JSON file Step 2: Configure Bright Data Add credentials under Credentials → Bright Data API Set the appropriate dataset_id for each platform Ensure dataset includes title, price, and url fields Step 3: Enable Keyword Trigger Use the built-in Form Trigger node Input: Single keyword field (SearchHere) Step 4: Telegram or AI Integration Modify prompt node for your language or tone Add Telegram webhook or integration where needed 📖 Usage Guide Adding Keywords Trigger the form with a product keyword like iPhone 15 Wait for workflow to fetch best deals and generate Telegram message Understanding AI-Powered Output AI creates a short, engaging message like: > "🔥 Deal Alert: Get the iPhone 15 for just ₹74,999! Limited stock—Check it out: [link]" Debugging Output Output node shows cleaned JSON with title, price, url, and message If no valid results, debug message is returned with sample structure info 🔧 Customization Options Add More Marketplaces Clone any HTTP Request node (e.g., for Wayfair) Update dataset_id and required output fields Modify Price Logic Update the Code1 node to change comparison (e.g., highest price instead of lowest) Change Message Format Edit the AI Agent prompt to customize tone/language Add emoji, CTAs, or markdown formatting as needed 🧪 Test & Activation Add a few sample keywords via form trigger Run manually or set as a webhook for external app input Check final AI-generated message in output node 🚨 Troubleshooting | Issue | Solution | |-------|----------| | No Data Returned | Ensure keyword matches real products | | Status Not 'Ready' | Bright Data delay; add Wait nodes | | Invalid API Key | Check Bright Data credentials | | AI Errors | Adjust prompt or validate input fields | 📊 Use Cases 💰 Affiliate Campaigns: Show best deals across platforms 🛒 Deal Pages: Post live offers with product links 🧠 Competitor Analysis: Track cross-platform pricing 🔔 Alert Bots: Send real-time alerts to Telegram or Slack ✅ Quick Setup Checklist [x] Bright Data API credentials configured [x] n8n form trigger enabled [x] Claude or AI model connected [x] All HTTP requests working [x] AI message formatting verified 🌐 Example Output { "title": "Apple iPhone 15 Pro Max", "price": 1199, "url": "https://amazon.com/iphone-15", "message": "🔥 Grab the Apple iPhone 15 Pro Max for just $1199! Limited deal—Check it out: https://amazon.com/iphone-15" } 📬For any questions or support, please contact: 📧 <info@incrementors.com> or fill out this form: https://www.incrementors.com/contact-us/. An n8n automation workflow template by Incrementors.

By Marth - Business Automation

How It Works ⚙️ This workflow automatically takes a long property URL from your Google Sheet, shortens it, generates a QR code, and then updates your sheet with the new links. 0. Google Sheets (New/Updated Row Trigger): 🚀 The workflow starts by constantly monitoring a specified Google Sheet. It triggers when a new property listing row is added, or when an existing row's "Property Link" column is updated. 1. Shorten URL (HTTP Request - Bitly): 🌐 This node takes the long property URL from the Google Sheet. It then makes an API call to a URL shortening service (like Bitly) to generate a much shorter, shareable URL. 2. Generate QR Code (HTTP Request - QR Code API): 📱 Using the shortened URL from the previous step, this node makes another API call to a QR code generation service. It generates an image link for a QR code that, when scanned, directs users to your property. 3. Update Google Sheet (Update Row): ✅ Finally, this node takes the newly generated short URL and the QR code image link and writes them back into the corresponding row in your Google Sheet. This centralizes all the necessary links for your property listings. How to Set Up 🛠️ Follow these steps carefully to get your "Property Link Shortener & QR Code Generator" workflow up and running in n8n: Import Workflow JSON: Open your n8n instance. Click on 'Workflows' in the left sidebar. Click the '+' button or 'New' to create a new workflow. Click the '...' (More Options) icon in the top right. Select 'Import from JSON' and paste the entire JSON code for this workflow. Prepare your Google Sheet: Create a Google Sheet with columns for your property listings. Crucially, ensure you have a column for the original long property URL (e.g., Property Link), a column for the shortened URL (e.g., Short URL), a column for the QR code image URL (e.g., QR Code URL), and a unique identifier for each row (e.g., Property ID). Configure 0. Google Sheets (New/Updated Row Trigger): Locate the '0. Google Sheets (New/Updated Row Trigger)' node. Credentials: Select your existing Google Sheets OAuth2 credential or click 'Create New' to set one up. Spreadsheet ID: Replace YOUR_SPREADSHEET_ID with the ID of your Google Sheet. You can find this ID in the Google Sheet's URL. Sheet Name: Enter the exact name of the sheet (tab) within your spreadsheet (e.g., Listings or Properties). Trigger On: Choose Updated Row and select the column where your original long property link is located (e.g., Property Link). This ensures the workflow runs when you add or update a property link. Configure 1. Shorten URL (HTTP Request - Bitly): Locate the '1. Shorten URL (HTTP Request - Bitly)' node. Method: Set to POST. URL: https://api-ssl.bitly.com/v4/shorten Headers: Add Authorization with value Bearer YOUR_BITLY_ACCESS_TOKEN. (You'll need to generate a Generic Access Token from your Bitly account settings > Generic Access Token). Add Content-Type with value application/json. Body: Select Raw and JSON. In the JSON body, enter: {"long_url": "{{ $json[\"Property Link\"] }}"}. Ensure "Property Link" exactly matches your Google Sheet column header for the original URL. Response Format: Set to JSON. Configure 2. Generate QR Code (HTTP Request - QR Code API): Locate the '2. Generate QR Code (HTTP Request - QR Code API)' node. Method: Set to GET. URL: https://api.qrserver.com/v1/create-qr-code/?size=150x150&data={{ encodeURIComponent($('1. Shorten URL (HTTP Request - Bitly)').item.json.link) }} Here, {{ $('1. Shorten URL (HTTP Request - Bitly)').item.json.link }} refers to the output of the previous Bitly node. You can adjust size=150x150 as needed. encodeURIComponent is important to handle special characters in the URL. Response Format: Set to Binary. (This API directly returns the image, but we just need its URL which is in the url property of the response). Configure 3. Update Google Sheet (Update Row): Locate the '3. Update Google Sheet (Update Row)' node. Credentials: Select the same Google Sheets OAuth2 credential as in step 3. Spreadsheet ID: Use the same YOUR_SPREADSHEET_ID. Sheet Name: Use the same YOUR_SHEET_NAME_E.G._Listings. Key Column: Set this to a unique identifier for your rows, e.g., Property ID (assuming you have one in your sheet). Key Column Value: ={{ $json["Property ID"] }}. Make sure this matches your unique ID column from the Google Sheet. Update Columns: Add an entry: Column: Short URL (exact name of your short URL column in Google Sheet) Value: ={{ $('1. Shorten URL (HTTP Request - Bitly)').item.json.link }} Add another entry: Column: QR Code URL (exact name of your QR Code URL column in Google Sheet) Value: ={{ $('2. Generate QR Code (HTTP Request - QR Code API)').item.url }} (This will be the URL of the QR code image from the HTTP request response). Review and Activate: Thoroughly review all node configurations. Ensure all placeholder values (like YOUR_...) are replaced with your actual information and settings are correct. Click the 'Save' button in the top right corner. Finally, toggle the 'Inactive' switch to 'Active' to enable your workflow. 🟢 Your "Property Link Shortener & QR Code Generator" workflow is now live!. An n8n automation workflow template by Marth - Business Automation.

By iamvaar

🚨 DISCLAIMER (READ FIRST): This workflow is NOT HIPAA-compliant and NOT intended for production use. It is a test/demo prototype built for experimentation, education, and non-clinical evaluation purposes only. It does not include encryption, does not meet any regulatory standards, and must not be used with real patient data or PHI (Protected Health Information). The creator is not liable for any misuse or damage caused by deploying this workflow in a real-world or clinical environment. 🎥 Watch the Workflow Demo: https://youtu.be/1qt3sU2o4_Y?si=oA1CizPaO66_tKnc 🔧 Workflow Summary: This n8n workflow mimics a lightweight AI assistant for healthcare clinics by automatically analyzing patient symptoms and booking appointments. It uses no-code tools and basic AI integration to demonstrate automation potential in medical triage. 🩺 What it does: Patient submits a form (Cal.com or webhook) with name, contact, and symptoms AI processes the symptoms (via OpenRouter) and suggests the likely issue AI assigns a relevant department like Ortho, Neuro, etc. Books the appointment on the correct Google Calendar (department-wise) Saves the patient info to a Google Sheet for tracking Skips duplicate appointments for the same patient (based on name or contact) 📦 Tools Used: • n8n (Cloud or Self-Hosted) • OpenRouter (GPT-based AI model) • Cal.com (Booking system) • Google Calendar • Google Sheets ⚠️ For a HIPAA-Compliant Version (Future-Ready Notes): Self-host n8n to avoid vendor lock-in or BAA issues Run LLMs locally (LLaMA, Mistral) instead of APIs Replace Cal.com with a self-hosted calendar/booking tool Use end-to-end encryption for PHI transmission Store data in encrypted Postgres (with pgcrypto or similar) Implement access control and audit logging AND MANY MORE.... REFER/CONSULT RESPECTIVE AUTHORITIES FOR MORE INFO 💡 Use Case: This demo can help founders, developers, or healthtech explorers prototype AI-assisted clinic systems without writing code — but again, strictly for mock/demo workflows only. An n8n automation workflow template by iamvaar.

By Incrementors

🐦 Twitter Profile Scraper via Bright Data API with Google Sheets Output A comprehensive n8n automation that scrapes Twitter profile data using Bright Data's Twitter dataset and stores comprehensive tweet analytics, user metrics, and engagement data directly into Google Sheets. 📋 Overview This workflow provides an automated Twitter data collection solution that extracts profile information and tweet data from specified Twitter accounts within custom date ranges. Perfect for social media analytics, competitor research, brand monitoring, and content strategy analysis. ✨ Key Features 🔗 Form-Based Input: Easy-to-use form for Twitter URL and date range selection 🐦 Twitter Integration: Uses Bright Data's Twitter dataset for accurate data extraction 📊 Comprehensive Data: Captures tweets, engagement metrics, and profile information 📈 Google Sheets Storage: Automatically stores all data in organized spreadsheet format 🔄 Progress Monitoring: Real-time status tracking with automatic retry mechanisms ⚡ Fast & Reliable: Professional scraping with built-in error handling 📅 Date Range Control: Flexible time period selection for targeted data collection 🎯 Customizable Fields: Advanced data field selection and mapping 🎯 What This Workflow Does Input Twitter Profile URL**: Target Twitter account for data scraping Date Range**: Start and end dates for tweet collection period Custom Fields**: Configurable data points to extract Processing Form Trigger: Collects Twitter URL and date range from user input API Request: Sends scraping request to Bright Data with specified parameters Progress Monitoring: Continuously checks scraping job status until completion Data Retrieval: Downloads complete dataset when scraping is finished Data Processing: Formats and structures extracted information Sheet Integration: Automatically populates Google Sheets with organized data Output Data Points | Field | Description | Example | |-------|-------------|---------| | user_posted | Username who posted the tweet | @elonmusk | | name | Display name of the user | Elon Musk | | description | Tweet content/text | "Exciting updates coming soon..." | | date_posted | When the tweet was posted | 2025-01-15T10:30:00Z | | likes | Number of likes on the tweet | 1,234 | | reposts | Number of retweets | 567 | | replies | Number of replies | 89 | | views | Total view count | 12,345 | | followers | User's follower count | 50M | | following | Users they follow | 123 | | is_verified | Verification status | true/false | | hashtags | Hashtags used in tweet | #AI #Technology | | photos | Image URLs in tweet | image1.jpg, image2.jpg | | videos | Video content URLs | video1.mp4 | | user_id | Unique user identifier | 12345678 | | timestamp | Data extraction timestamp | 2025-01-15T11:00:00Z | 🚀 Setup Instructions Prerequisites n8n instance (self-hosted or cloud) Bright Data account with Twitter dataset access Google account with Sheets access Valid Twitter profile URLs to scrape 10-15 minutes for setup Step 1: Import the Workflow Copy the JSON workflow code from the provided file In n8n: Workflows → + Add workflow → Import from JSON Paste JSON and click Import Step 2: Configure Bright Data Set up Bright Data credentials: In n8n: Credentials → + Add credential → HTTP Header Auth Enter your Bright Data API credentials Test the connection Configure dataset: Ensure you have access to Twitter dataset (gd_lwxkxvnf1cynvib9co) Verify dataset permissions in Bright Data dashboard Step 3: Configure Google Sheets Integration Create a Google Sheet: Go to Google Sheets Create a new spreadsheet named "Twitter Data" or similar Copy the Sheet ID from URL: https://docs.google.com/spreadsheets/d/SHEET_ID_HERE/edit Set up Google Sheets credentials: In n8n: Credentials → + Add credential → Google Sheets OAuth2 API Complete OAuth setup and test connection Prepare your data sheet with columns: Use the column headers from the data points table above The workflow will automatically populate these fields Step 4: Update Workflow Settings Update Bright Data nodes: Open "🚀 Trigger Twitter Scraping" node Replace BRIGHT_DATA_API_KEY with your actual API token Verify dataset ID is correct Update Google Sheets node: Open "📊 Store Twitter Data in Google Sheet" node Replace YOUR_GOOGLE_SHEET_ID with your Sheet ID Select your Google Sheets credential Choose the correct sheet/tab name Step 5: Test & Activate Add test data: Use the form trigger to input a Twitter profile URL Set a small date range for testing (e.g., last 7 days) Test the workflow: Submit the form to trigger the workflow Monitor progress in n8n execution logs Verify data appears in Google Sheet Check all expected columns are populated 📖 Usage Guide Running the Workflow Access the workflow form trigger URL (available when workflow is active) Enter the Twitter profile URL you want to scrape Set the start and end dates for tweet collection Submit the form to initiate scraping Monitor progress - the workflow will automatically check status every minute Once complete, data will appear in your Google Sheet Understanding the Data Your Google Sheet will show: Real-time tweet data** for the specified date range User engagement metrics** (likes, replies, retweets, views) Profile information** (followers, following, verification status) Content details** (hashtags, media URLs, quoted tweets) Timestamps** for each tweet and data extraction Customizing Date Ranges Recent data**: Use last 7-30 days for current activity analysis Historical analysis**: Select specific months or quarters for trend analysis Event tracking**: Focus on specific date ranges around events or campaigns Comparative studies**: Use consistent time periods across different profiles 🔧 Customization Options Modifying Data Fields Edit the custom_output_fields array in the "🚀 Trigger Twitter Scraping" node to add or remove data points: "custom_output_fields": [ "id", "user_posted", "name", "description", "date_posted", "likes", "reposts", "replies", "views", "hashtags", "followers", "is_verified" ] Changing Google Sheet Structure Modify the column mapping in the "📊 Store Twitter Data in Google Sheet" node to match your preferred sheet layout and add custom formulas or calculations. Adding Multiple Recipients To process multiple Twitter profiles: Modify the form to accept multiple URLs Add a loop node to process each URL separately Implement delays between requests to respect rate limits 🚨 Troubleshooting Common Issues & Solutions "Bright Data connection failed" Cause: Invalid API credentials or dataset access Solution: Verify credentials in Bright Data dashboard, check dataset permissions "No data extracted" Cause: Invalid Twitter URLs or private/protected accounts Solution: Verify URLs are valid public Twitter profiles, test with different accounts "Google Sheets permission denied" Cause: Incorrect credentials or sheet permissions Solution: Re-authenticate Google Sheets, check sheet sharing settings "Workflow timeout" Cause: Large date ranges or high-volume accounts Solution: Use smaller date ranges, implement pagination for high-volume accounts "Progress monitoring stuck" Cause: Scraping job failed or API issues Solution: Check Bright Data dashboard for job status, restart workflow if needed Advanced Troubleshooting Check execution logs in n8n for detailed error messages Test individual nodes by running them separately Verify data formats and ensure consistent field mapping Monitor rate limits if scraping multiple profiles consecutively Add error handling and implement retry logic for robust operation 📊 Use Cases & Examples 1. Social Media Analytics Goal: Track engagement metrics and content performance Monitor tweet engagement rates over time Analyze hashtag effectiveness and reach Track follower growth and audience interaction Generate weekly/monthly performance reports 2. Competitor Research Goal: Monitor competitor social media activity Track competitor posting frequency and timing Analyze competitor content themes and strategies Monitor competitor engagement and audience response Identify trending topics and hashtags in your industry 3. Brand Monitoring Goal: Track brand mentions and sentiment analysis Monitor specific Twitter accounts for brand mentions Track hashtag campaigns and user-generated content Analyze sentiment trends and audience feedback Identify influencers and brand advocates 4. Content Strategy Development Goal: Analyze successful content patterns Identify high-performing tweet formats and topics Track optimal posting times and frequencies Analyze hashtag performance and reach Study audience engagement patterns 5. Market Research Goal: Collect social media data for market analysis Gather consumer opinions and feedback Track industry trends and discussions Monitor product launches and market reactions Support product development with social insights ⚙ Advanced Configuration Batch Processing Multiple Profiles To monitor multiple Twitter accounts efficiently: Create a master sheet with profile URLs and date ranges Add a loop node to process each profile separately Implement delays between requests to respect rate limits Use separate sheets or tabs for different profiles Adding Data Analysis Enhance the workflow with analytical capabilities: Create additional sheets for processed data and insights Add formulas to calculate engagement rates and trends Implement data visualization with charts and graphs Generate automated reports and summaries Integration with Business Tools Connect the workflow to your existing systems: CRM Integration**: Update customer records with social media data Slack Notifications**: Send alerts when data collection is complete Database Storage**: Store data in PostgreSQL/MySQL for advanced analysis BI Tools**: Connect to Tableau/Power BI for comprehensive visualization 📈 Performance & Limits Expected Performance Single profile**: 30 seconds to 5 minutes (depending on date range) Data accuracy**: 95%+ for public Twitter profiles Success rate**: 90%+ for accessible accounts Daily capacity**: 10-50 profiles (depends on rate limits and data volume) Resource Usage Memory**: ~200MB per execution Storage**: Minimal (data stored in Google Sheets) API calls**: 1 Bright Data call + multiple Google Sheets calls per profile Bandwidth**: ~5-10MB per profile scraped Execution time**: 2-10 minutes for typical date ranges Scaling Considerations Rate limiting**: Add delays for high-volume scraping Error handling**: Implement retry logic for failed requests Data validation**: Add checks for malformed or missing data Monitoring**: Track success/failure rates over time Cost optimization**: Monitor API usage to control costs 🤝 Support & Community Getting Help n8n Community Forum**: community.n8n.io Documentation**: docs.n8n.io Bright Data Support**: Contact through your dashboard GitHub Issues**: Report bugs and feature requests Contributing Share improvements with the community Report issues and suggest enhancements Create variations for specific use cases Document best practices and lessons learned 📋 Quick Setup Checklist Before You Start ☐ n8n instance running (self-hosted or cloud) ☐ Bright Data account with Twitter dataset access ☐ Google account with Sheets access ☐ Valid Twitter profile URLs ready for scraping ☐ 10-15 minutes available for setup Setup Steps ☐ Import Workflow - Copy JSON and import to n8n ☐ Configure Bright Data - Set up API credentials and test ☐ Create Google Sheet - New sheet with proper column structure ☐ Set up Google Sheets credentials - OAuth setup and test ☐ Update workflow settings - Replace API keys and sheet IDs ☐ Test with sample data - Add 1 Twitter URL and small date range ☐ Verify data flow - Check data appears in Google Sheet correctly ☐ Activate workflow - Enable form trigger for production use Ready to Use! 🎉 Your workflow URL: Access form trigger when workflow is active 🎯 Happy Twitter Scraping! This workflow provides a solid foundation for automated Twitter data collection. Customize it to fit your specific social media analytics and research needs. For any questions or support, please contact: info@incrementors.com or fill out this form: https://www.incrementors.com/contact-us/. An n8n automation workflow template by Incrementors.

By Automate With Marc

🎥 AI-Powered Inbound Sales Rep Video Agent – Auto-Respond to Leads with Personalized Videos Description: This workflow helps you instantly respond to inbound leads with a hyper-personalized video and email—fully automated using n8n, Heygen API, and OpenAI. Watch the step-by-step Tutorial Build here: https://www.youtube.com/@Automatewithmarc When a visitor submits a form on your website, this AI agent dynamically: Creates a video script tailored to the lead's input using an AI prompt agent Generates a video using the Heygen API with a branded avatar Crafts a contextual follow-up email embedding the video Sends it to the lead’s inbox with a call-to-action This is ideal for: Marketing agencies looking to impress new prospects Sales teams aiming to boost inbound conversions Founders and freelancers building trust through instant video touchpoints 📥 How It Works: Form Trigger  Captures user inputs like name, email, business URL, and marketing pain points. AI Video Prompt Agent  Uses LangChain + OpenAI to write a short, personalized script (e.g., “Hey this is Jason from Purple Unicorn Marketing...”). Video Generation (Heygen API)  Triggers a video using a selected avatar and voice style. Video Status & Wait Logic  Monitors the video generation status until completed. Get Final Video URL & Thumbnail  Retrieves the finished video and prepares for embedding. Email Writer (GPT-4)  Generates an HTML-based outreach email including the lead's info and embedded video thumbnail with a booking link. Email Delivery (Gmail Node)  Sends the full message to the inbound lead automatically. ⚙️ Tools & Integrations: n8n (self-hosted or cloud) Heygen API – for video generation LangChain + OpenAI GPT-4 – for script writing and email creation Gmail Node – for automated outreach delivery 🔧 Setup Instructions: Heygen API Key  Create a Heygen account and retrieve your API key. Set it up as a credential in n8n (httpHeaderAuth). OpenAI Key  Add your OpenAI API key under OpenAI credentials. Gmail OAuth2  Connect your Gmail account using OAuth2 for sending emails. Customize the Prompt  Modify the system message in the LangChain Agent node to reflect your brand tone or CTA. Calendly Link  Update the call-to-action links in both the video prompt and email generator nodes with your real booking URL. 💡 Use Cases: Automating welcome sequences for new signups Personalized video lead responses for agencies AI-driven inbound sales agent for bootstrapped startups. An n8n automation workflow template by Automate With Marc.

By Zain Ali

👤 Who’s it for Anyone* who needs to recursively fetch *all files** from a specific Google Drive folder, including files inside all its nested (child) folders. Ideal for automation builders, admins, and integrators who want to process, move, list, or report on all files in a complex folder tree. ⚙️ How it works / What it does This workflow will: Accept a Google Drive Folder ID as an input (from another workflow or trigger). Recursively discover all child folders starting from the parent, no matter how many levels deep. Collect all file IDs & names from every folder (parent + all descendants). Return a clean list of all found files (with IDs and names) for further automation, downloading, or processing. Key features: 💡 Works recursively (handles any depth of nested folders). 🏷️ Outputs file ID & file name for each discovered file. 🔄 Can be triggered by other workflows (great for modular automation). 🛠️ How to set up 1. Google Drive Credentials Make sure you’ve set up a Google Drive OAuth2 credential in n8n. Connect this credential to all Google Drive nodes in the workflow. 2. Parent Folder ID Input the Google Drive folder ID you want to start from. How to pass it:** If running standalone: update the When Executed by Another Workflow node with your folder ID. If called from another workflow: pass the folder ID as an input named id. 3. Check Set Nodes There are two Set nodes (Return parent and Return parent1) and one trigger (When Executed by Another Workflow) where you might want to update the hardcoded folder ID. ⚠️ Change these IDs to match your use case. 4. Run the Workflow Start the workflow (or execute it via another workflow). The result will be a flat list of files in all subfolders. ✅ Requirements 🟢 n8n instance 🟢 Google Drive OAuth2 credentials connected in n8n 🟢 A valid Google Drive folder ID to start from 🧑‍💻 How to customize Return Extra Data:** Add fields in the “Search files” node options to return more Google Drive file metadata (e.g., size, webViewLink). Filter by File Type:** Adjust the search query or add a filter node to only include certain file types (e.g., PDFs, Docs). Change Output Format:** Edit the “Edit Fields” Set node to structure your output differently. Integrate Further:** Add new nodes after the Loop to, for example, download, email, or sync files as needed. 🚨 Notes & Tips Performance:** This workflow is optimized for up to hundreds of folders. For very large Drive accounts (thousands of folders/files), consider pagination or batching. Credential Security:** Always use n8n’s built-in credential manager—never hard-code sensitive data. Static IDs:** As noted in the sticky note, make sure to update all hardcoded folder IDs for your production use. 🗂️ Node Overview When Executed by Another Workflow:** Accepts a folder ID (entry point). Google Drive – Get children folders:** Lists subfolders of the given folder. If:** Checks if the folder contains any subfolders. Execute Workflow:** Handles recursion (calls itself on child folders). Code:** Flattens all discovered folder IDs for next step. Loop Over Items:** Iterates over all folders to process files. Google Drive – Search files:** Finds all files in each folder. Edit Fields (Set):** Structures file data for output. Sticky Note:** Documentation and reminders inside your workflow. 🔄 Example Output [ { "file_id": "1A2B3C...", "file_name": "MyDoc.pdf" }, { "file_id": "2B3C4D...", "file_name": "Presentation.pptx" } ]. An n8n automation workflow template by Zain Ali.

By Viktor Klepikovskyi

Preventing Google Sheets Quota Errors during Batch Processing This template provides a robust solution for dealing with Google Sheets API rate limits. It is designed for workflows that update a large number of rows in a Google Sheet and frequently fail with "too many requests" errors. The template uses a Wait node connected to the error output of the Google Sheets node, creating a retry loop that delays execution for a set period before attempting the update again. To use this template, simply replace the placeholder Google Sheets nodes with your own credentials and sheet. You can find an example Google Sheet for this template here. For a full explanation of this approach, check out the blog post here. An n8n automation workflow template by Viktor Klepikovskyi.

By DigiMetaLab

A reasoning agent that can think, search, calculate, and remember — powered by GROQ inference and ready to deploy in one click. Unlike traditional AI bots that only respond, this assistant reasons before replying, fetches real-time facts, does math, and keeps short-term memory of your conversation. 🔧 How it works This template builds a conversational AI agent using the GROQ LLaMA 3 or LLaMA 4 API, combined with modular tools like: 🧠 Think Tool – performs step-by-step logical reasoning 🔍 SerpAPI – fetches live data from Google search ➗ Calculator – handles arithmetic and math queries 💾 Memory Buffer – keeps track of the last 5 messages for context Everything is integrated inside n8n and optimized for blazing-fast replies using GROQ’s ultra-low latency. 🧠 Your Agent Will: Understand and analyze your queries Think through solutions before answering Pull real-time data via SerpAPI Perform calculations with the built-in math engine Recall prior context using short-term memory Respond clearly, conversationally — like a real assistant 🧑‍💼 Who is this template for? Perfect for: AI builders and creators using GROQ + n8n Teams needing a real-time LLaMA-powered assistant Beginners exploring LangChain + n8n workflows Developers combining LLMs + tools + memory 🚀 How to Set Up Plug in your GROQ API key Add your SerpAPI key Import and run — it’s ready to chat! All tools are pre-wired. You can expand the memory, customize prompts, or plug in more tools. 📬 Use Cases Connect this agent with: Telegram Bots 🤖 WhatsApp via Twilio 📱 Slack, Discord, or Gmail 💬 Manual triggers in n8n 🔁 👉 Check out more templates by this creator: https://n8n.io/creators/digimetalab. An n8n automation workflow template by DigiMetaLab.