Browse 12,955 Workflows

By Elegant Biztech

Automated QuickBooks Payment Reminders with Dynamic Invoice Tables This workflow provides a powerful solution for businesses using QuickBooks Online to automate their payment reminder process. It solves the time-consuming and manual task of chasing late payments by creating a fully automated system that ensures every customer with an outstanding balance receives a timely, professional, and consolidated reminder email. The workflow periodically fetches all unpaid invoices from your QuickBooks account. Its core strength lies in its ability to group multiple outstanding invoices for a single customer into one email, presenting them in a clean, easy-to-read table. This improves clarity for your customers, reduces email clutter, and significantly increases the likelihood of prompt payment. This template was crafted with care by the team at Prompt-Wizards to help you streamline your finances and build stronger customer relationships through smart automation. How the Workflow Operates Scheduler: The workflow initiates on a customizable schedule (e.g., every day at 9 AM). Get Unpaid Invoices: It fetches all invoices from your QuickBooks account that have an outstanding balance greater than zero and were created within a specified date range. Get Customer Wise Invoice list: This Code node intelligently processes the list of invoices and groups them by customer name, preparing the data for email generation. Invoice Template: This Code node dynamically generates a beautiful, responsive HTML email for each customer, complete with a personalized greeting, an invoice table, and the total amount due. Send Reminder Email: The final node sends the uniquely crafted email to the customer's billing address on file. Prerequisites Before you begin, please ensure you have the following: An active n8n instance. A QuickBooks Online account with API access. An email service (e.g., SMTP, Gmail, Outlook) connected to n8n as credentials. Step-by-Step Setup Guide Follow these instructions carefully to configure the workflow for your business in under 5 minutes. 1. Connect Your QuickBooks Account You must authenticate your QuickBooks account to allow n8n to fetch invoice data. Select the Get Unpaid Invoices node. In the Credentials section on the right, either select your existing QuickBooks account from the dropdown or click Create New to connect your account. (Optional): In the Options section of this node, you can adjust the TxnDate filter. It is pre-set to look at invoices from the last 90 days. You can change this date range to suit your needs. 2. Personalize the Email Template Personalize the email to match your brand and include your payment information. Open the Invoice Template node. Inside the code editor, find and replace these two placeholder values: Your Payment Link: On line 115, find href="https://your-payment-portal-link.com" and replace the placeholder URL with a link to your actual payment portal or website. Your Company Details: On line 120, find Your Company Name | ... and replace the placeholder text with your real company name and address in the email footer. 3. Configure Your Email Account You must connect the email account you want to send reminders from. Select the Send Reminder Email node. In the Credentials section, select your email account (e.g., Gmail, Outlook) or create a new connection. The To Address, Subject, and HTML fields are already configured with expressions to work automatically. No changes are needed here! 4. Activate the Workflow Open the Scheduler node to set the schedule for how often you want the workflow to run. Save the workflow using the button at the top. Click the Active toggle at the top right of the screen. Your automated payment reminder system is now live!!! For questions or to explore more custom solutions, visit us at Elegant Biztech or contact us at sales@elegantbiztech.com. An n8n automation workflow template by Elegant Biztech.

By WeblineIndia

⚙️ Advanced Equipment Health Monitor with MS Teams Integration (n8n | API | Google Sheets | MSTeams) This n8n workflow automatically monitors equipment health by fetching real-time metrics like temperature, voltage and operational status. If any of these parameters cross critical thresholds, an alert is instantly sent to a Microsoft Teams channel and the event is logged in Google Sheets. The workflow runs every 15 minutes by default. ⚡ Quick Implementation Steps Import the workflow JSON into your n8n instance. Open the "Set Config" node and update: API endpoint Teams webhook URL Threshold values Google Sheet ID Activate the workflow to start receiving alerts every 15 minutes. 🎯 Who’s It For Renewable energy site operators (solar, wind) Plant maintenance and operations teams Remote infrastructure monitoring services IoT-integrated energy platforms Enterprise environments using Microsoft Teams 🛠 Requirements | Tool | Purpose | |------|---------| | n8n Instance | To run and schedule automation | | HTTP API | Access to your equipment or IoT platform health API | | Microsoft Teams | Incoming Webhook URL configured | | Google Sheets | Logging and analytics | | SMTP (optional) | For email-based alternatives or expansions | 🧠 What It Does Runs every 15 minutes** to check the latest equipment metrics. Compares values** (temperature, voltage, status) against configured thresholds. Triggers a Microsoft Teams message** when a threshold is breached. Appends the alert data** to a Google Sheet for logging and review. 🧩 Workflow Components Set Node:** Configures thresholds, endpoints, webhook URL and Sheet ID. Cron Node:** Triggers the check every 15 minutes. HTTP Request Node:** Pulls data from your equipment health monitoring API. IF Node:** Evaluates if conditions are within or outside defined limits. MS Teams Alert Node:** Sends structured alerts using a Teams incoming webhook. Google Sheets Node:** Logs alert details for recordkeeping and analytics. 🔧 How To Set Up – Step-by-Step Import Workflow: In n8n, click Import and upload the provided .json file. Update Configurations: Open the Set Config node. Replace the placeholder values: apiEndpoint: URL to fetch equipment data. teamsWebhookUrl: Your MS Teams channel webhook. temperatureThreshold: Example = 80 voltageThreshold: Example = 400 googleSheetId: Google Sheet ID (must be shared with n8n service account). Check Webhook Integration: Ensure your MS Teams webhook is properly authorized and points to a live channel. Run & Monitor: Enable the workflow and view logs/alerts. Adjust thresholds as needed. 🧪 How To Customize | Customization | How | |---------------|-----| | Add more parameters (humidity, pressure) | Extend the HTTP + IF node conditions | | Change alert frequency | Edit the Cron node | | Use Slack or Email instead of Teams | Replace MS Teams node with Slack or Email node | | Add PDF Report Generation | Use HTML → PDF node and email the report | | Export to Database | Add a PostgreSQL or MySQL node instead of Google Sheets | ➕ Add‑ons (Advanced) | Add-on | Description | |--------|-------------| | 📦 Auto-Ticketing | Auto-create issues in Jira, Trello or ClickUp for serious faults | | 📊 Dashboard Sync | Send real-time logs to BigQuery or InfluxDB | | 🧠 Predictive Alerts | Use machine learning APIs to flag anomalies | | 🗂 Daily Digest | Compile all incidents into a daily summary email or Teams post | | 📱 Mobile Alert | Integrate Twilio for SMS alerts or WhatsApp notifications | 📈 Example Use Cases Monitor solar inverter health for overheating or voltage drops. Alert field engineers via Teams when a wind turbine sensor fails. Log and visualize hardware issues for weekly analytics. Automate SLA compliance tracking through timely notifications. Ensure distributed infrastructure (e.g., substations) are always in operational range. 🧯 Troubleshooting Guide | Issue | Possible Cause | Solution | |-------|----------------|----------| | No Teams alert | Incorrect webhook URL or formatting | Recheck the Teams webhook and payload | | Workflow not triggering | Cron node misconfigured | Ensure it’s set to run every 15 mins and workflow is active | | Google Sheet not updating | Sheet ID is wrong or not shared | Share Sheet with your n8n Google service account | | No data from API | Endpoint URL is down or wrong | Test the endpoint manually with Postman or browser | 📞 Need Assistance? Need help tailoring this to your exact equipment type or expanding the workflow? 👉 Contact WeblineIndia – Expert automation partners for renewable energy, infrastructure and enterprise workflows. An n8n automation workflow template by WeblineIndia.

By Marth - Business Automation

How It Works: The 5-Node Certificate Management Flow 🗓️ This workflow efficiently monitors your domains for certificate expiry. Scheduled Check (Cron Node): This is the workflow's trigger. It's configured to run on a regular schedule, such as every Monday morning, ensuring certificate checks are automated and consistent. List Domains to Monitor (Code Node): This node acts as a static database, storing a list of all the domains you need to track. Check Certificate Expiry (HTTP Request Node): For each domain in your list, this node makes a request to a certificate checking API. The API returns details about the certificate, including its expiry date. Is Certificate Expiring? (If Node): This is the core logic. It compares the expiry date from the API response with the current date. If the certificate is set to expire within a critical timeframe (e.g., less than 30 days), the workflow proceeds to the next step. Send Alert (Slack Node): If the If node determines a certificate is expiring, this node sends a high-priority alert to your team's Slack channel. The message includes the domain name and the exact expiry date, providing all the necessary information for a quick response. How to Set Up Here's a step-by-step guide to get this workflow running in your n8n instance. Prepare Your Credentials & API: Certificate Expiry API: You need an API to check certificate expiry. The workflow uses a sample API, so you may need to adjust the URL and parameters. For production use, you might use a service like Certspotter or a similar tool. Slack Credential: Set up a Slack credential in n8n and get the Channel ID of your security alert channel (e.g., #security-alerts). Import the Workflow JSON: Create a new workflow in n8n and choose "Import from JSON." Paste the JSON code for the "SSL/TLS Certificate Expiry Monitor" workflow. Configure the Nodes: Scheduled Check (Cron): Set the schedule according to your preference (e.g., every Monday at 8:00 AM). List Domains to Monitor (Code): Edit the domainsToMonitor array in the code and add all the domains you want to check. Check Certificate Expiry (HTTP Request): Update the URL to match the certificate checking API you are using. Is Certificate Expiring? (If): The logic is set to check for expiry within 30 days. You can adjust the 30 in the expression new Date(Date.now() + 30 * 24 * 60 * 60 * 1000) to change the warning period. Send Alert (Slack): Select your Slack credential and enter the correct Channel ID. Test and Activate: Manual Test: Run the workflow manually to confirm it fetches certificate data and processes it correctly. You can test with a domain that you know is expiring soon to ensure the alert is triggered. Verify Output: Check your Slack channel to confirm that alerts are formatted and sent correctly. Activate: Once you're confident everything works, activate the workflow. n8n will now automatically monitor your domain certificates on the schedule you set. An n8n automation workflow template by Marth - Business Automation.

By Wild Nomad

Effortless Captions for Your Social Photos – Fully Automated Save time and keep your content fresh. This workflow automatically grabs photos from a Google Drive folder, analyzes them using AI (OpenAI GPT-4o-mini), writes an engaging, Instagram-ready caption, and stores everything neatly in Airtable. Once used, the photo is moved to a separate folder so you never repeat posts. 🔹 Zero coding needed 🔹 Works with Google Drive, OpenAI & Airtable 🔹 No emojis, hashtags, or fluff—just solid, engaging captions 🔹 Perfect for content creators, marketers, and social media teams Built on n8n – open source, customizable, and easy to extend. An n8n automation workflow template by Wild Nomad.

By Yang

📄 What this workflow does This workflow automatically scrapes product information from any website URL entered into a Google Sheet and stores the extracted product details into another sheet. It uses Dumpling AI to extract product data such as name, price, description, and reviews. 👤 Who is this for This is ideal for: Lead generation specialists capturing product info from prospect websites eCommerce researchers collecting data on competitor product listings Sales teams building enriched product databases from lead URLs Anyone who needs to automate product scraping from multiple websites ✅ Requirements A Google Sheet with a column labeled Website where URLs will be added A second sheet (e.g., product details) where extracted data will be saved Dumpling AI** API access to perform the extraction Connected Google Sheets credentials in n8n ⚙️ How to set up Replace the Google Sheet and tab IDs in the workflow with your own. Make sure your source sheet includes a Website column. Connect your Dumpling AI and Google Sheets credentials. Make sure the output sheet has the following headers: productName price productDescription (The workflow supports review, but it’s optional.) Activate the workflow to start processing new rows. 🔁 How it works (Workflow Steps) Watch New Website URL in Google Sheets: Triggers when a new row is added with a website URL. Extract Product Info with Dumpling AI: Sends the URL to Dumpling AI’s extract endpoint using a defined schema for product details. Split Extracted Products: Separates multiple products into individual items if the page contains more than one. Append Product Info to Google Sheets: Adds the structured results to the specified product details sheet. 🛠️ Customization Ideas Add a column to store the original source URL alongside each product Use OpenAI to generate short SEO summaries for each product Add filters to ignore pages without valid product details Send Slack or email notifications when new products are added to the sheet. An n8n automation workflow template by Yang.

By Yang

📄 What this workflow does This workflow captures a full-page screenshot of any website added to a Google Sheet and automatically uploads the screenshot to a designated Google Drive folder. It uses Dumpling AI’s screenshot API to generate the image and manages file storage through Google Drive. 👤 Who is this for This is ideal for: Marketers and outreach teams capturing snapshots of client or lead websites Lead generation specialists tracking landing page visuals Researchers or analysts who need to archive website visuals from URLs Anyone looking to automate website screenshot collection at scale ✅ Requirements A Google Sheet with a column labeled Website where URLs will be added Dumpling AI** API access for screenshot capture A connected Google Drive account with an accessible folder to store screenshots ⚙️ How to set up Replace the Google Sheet and folder IDs in the workflow with your own. Connect your Dumpling AI and Google credentials in n8n. Make sure your sheet contains a Website column with valid URLs. Activate the workflow to begin watching for new entries. 🔁 How it works (Workflow Steps) Watch New Row in Google Sheets: Triggers when a new row is added to the sheet. Request Screenshot from Dumpling AI: Sends the website URL to Dumpling AI and gets a screenshot URL. Download Screenshot: Fetches the image file from the returned URL. Upload Screenshot to Google Drive: Uploads the file to a selected folder in Google Drive. 🛠️ Customization Ideas Add timestamped filenames using the current date or domain name Append the Google Drive URL back to the same row in the sheet for easy access Extend the workflow to send Slack or email notifications when screenshots are saved Add filters to validate URLs before sending them to Dumpling AI. An n8n automation workflow template by Yang.

By Calistus Christian

Overview Receive a URL via Webhook, submit it to urlscan.io, wait ~30 seconds for artifacts (e.g., screenshot), then email a clean summary with links to the result page, screenshot, and API JSON. What this template does Ingests a URL from a POST request. Submits the URL to urlscan.io and captures the scan UUID. Waits 30s** to give urlscan time to generate the screenshot and result artifacts. Sends a formatted HTML email via Gmail with all relevant links. Nodes used Webhook** (POST /urlscan) urlscan.io → Perform a scan** Wait** (30 seconds; configurable) Gmail → Send a message** Input { "url": "https://example.com" }. An n8n automation workflow template by Calistus Christian.

By Jonas

🎧 Daily RSS Digest & Podcast Generation This workflow automates the creation of a daily sports podcast from your favorite news sources. It fetches articles, uses AI to write a digest and a two-person dialogue, and produces a single, merged audio file with KOKORO TTS ready for listening. ✨ How it works: 📰 Fetch & Filter Daily News: The workflow triggers daily, fetches articles from your chosen RSS feeds, and filters them to keep only the most recent content. ✍️ Generate AI Digest & Script: Using Google Gemini, it first creates a written summary of the day's news. A second AI agent then transforms this news into an engaging, conversational podcast script between two distinct AI speakers. 🗣️ Generate Voices in Chunks: The script is split into individual lines of dialogue. The workflow then loops through each line, calling a Text-to-Speech (TTS) API to generate a separate audio file (an MP3 chunk) for each part of the conversation. 🎛️ Merge Audio with FFmpeg: After all the audio chunks are created and saved locally, a command-line script generates a list of all the files and uses FFmpeg to losslessly merge them into a single, seamless MP3 file. All temporary files are then deleted. 📤 Send the Final Podcast: The final, merged MP3 is read from the server and delivered directly to your Telegram chat with a dynamic, dated filename. You can modify: 📰 The RSS Feeds to any news source you want. 🤖 The AI Prompts to change the tone, language, or style of the digest and podcast. 🎙️ The TTS Voices used for the two speakers. 📫 The Final Delivery Method (e.g., send to Discord, save to Google Drive, etc.). Perfect for creating a personalized, hands-free news briefing to listen to on your commute. Inspired by: https://n8n.io/workflows/6523-convert-newsletters-into-ai-podcasts-with-gpt-4o-mini-and-elevenlabs/. An n8n automation workflow template by Jonas.

By Franz

🚀 AI Lead Generation and Follow-Up Template 📋 Overview This n8n workflow template automates your lead generation and follow-up process using AI. It captures leads through a form, enriches them with company data, classifies them into different categories, and sends appropriate follow-up sequences automatically. Key Features: 🤖 AI-powered lead classification (Demo-ready, Nurture, Drop) 📊 Automatic lead enrichment with company data 📧 Intelligent email responses and follow-up sequences 📅 Automated demo scheduling for qualified leads 📝 Complete lead logging in Google Sheets 💬 AI assistant for immediate query responses 🛠️ Prerequisites Before setting up this workflow, ensure you have: n8n Instance: Self-hosted or cloud version OpenAI API Key: For AI-powered features Google Workspace Account with: Gmail access Google Sheets Google Calendar Basic understanding of your Ideal Customer Profile (ICP) ⚡ Quick Start Guide Step 1: Import the Workflow Copy the workflow JSON Import into your n8n instance The workflow will appear with all nodes connected Step 2: Configure Credentials You'll need to set up the following credentials: OpenAI API**: For AI agents and classification Gmail OAuth2**: For sending emails Google Sheets OAuth2**: For lead logging Google Calendar OAuth2**: For demo scheduling Step 3: Create Your Lead Log Sheet Create a Google Sheet with these columns: Date Name Email Company Job Title Message Number of Employees Industry Geography Annual Revenue Technology Pain Points Lead Classification Step 4: Update Configuration Nodes Replace Sheet ID: Update all Google Sheets nodes with your sheet ID Update Email Templates: Customize all email content Set Escalation Email: Replace "your-email@company.com" with your team's email Configure ICP Criteria: Edit the "Define ICP and Lead Criteria" node 🎯 Lead Classification Setup Define Your ICP (Ideal Customer Profile) Edit the "Define ICP and Lead Criteria" node to set your criteria: 📌 ICP Criteria Example: Company Size: 50+ employees Industry: SaaS, Finance, Healthcare, Manufacturing Geography: North America, Europe Pain Points: Manual processes, compliance needs, scaling challenges Annual Revenue: $5M+ ✅ Demo-Ready Criteria: High-intent prospects who meet multiple qualifying factors: Large company size (your threshold) Clear pain points mentioned Urgent timeline Budget authority indicated Specific solution requests 🌱 Nurture Criteria: Prospects with future potential: Meet basic size requirements In target industry General interest expressed Planning future implementation Exploring options ❌ Drop Criteria: Only drop leads that clearly don't fit: Outside target geography Wrong industry (B2C if you're B2B) Too small with no growth Already with competitor Spam or test messages 📧 Email Customization Customize Follow-Up Sequences: Demo-Ready Sequence: Immediate calendar invitation Personalized demo confirmation Meeting reminder (optional) Nurture Sequence: Welcome email with resources Educational content (Day 2) Webinar/event invitation (Day 3) Demo offer (Day 4) Drop Message: Polite acknowledgment Clear explanation Keep door open for future 🔧 Advanced Configuration AI Answer Agent Setup: Update the system prompt with your company information Add common Q&A patterns Set escalation rules Configure language preferences Lead Enrichment Options: Add API keys for additional data sources Configure enrichment fields Set data quality thresholds Enable duplicate detection Calendar Integration: Set available meeting times Configure meeting duration Add buffer times Set timezone handling 📊 Monitoring and Optimization Track Key Metrics: Lead volume by classification Response rates Demo conversion rates Time to first response Enrichment success rate Optimization Tips: Regular Review: Check classification accuracy weekly A/B Testing: Test different email sequences Feedback Loop: Use outcomes to refine ICP criteria AI Training: Update prompts based on results 🎉 Best Practices Start Simple: Begin with basic criteria and refine over time Test Thoroughly: Use test leads before going live Monitor Daily: Check logs for the first week Iterate Quickly: Adjust based on results Document Changes: Keep track of criteria updates 📈 Scaling Your Workflow As your lead volume grows: Add Sub-workflows: Separate complex processes Implement Queuing: Handle high volumes Add CRM Integration: Sync with your sales tools Enable Analytics: Track detailed metrics Set Up Alerts: Monitor for issues. An n8n automation workflow template by Franz.

By Hunyao

Upload a PDF and instantly get a neatly formatted Google Doc with all the readable text—no manual copy-paste, no messy line breaks. What this workflow does Accepts PDF uploads via a public form Sends the file to Mistral Cloud for high-accuracy OCR Detects and merges page images with their extracted text Cleans headers, footers, broken lines, and noise Creates a new Google Doc in your chosen Drive folder Writes the polished markdown text into the document What you need Mistral Cloud API key with OCR access Google Docs & Drive credentials connected in n8n Drive folder ID for new documents A PDF file to process (up to 100 MB) Setup Import the workflow into n8n and activate credentials. In Trigger • Form Submission, copy the webhook URL and share it or embed it. In Create • Google Doc, replace the default folder ID with yours. Fill out Mistral API key under Mistral Cloud API credentials. Save and activate the workflow. Visit the form, upload a PDF, name your future doc, and submit. Open Drive to view your newly generated, clean Google Doc. Example use cases Convert annual reports into editable text for analysis. Extract readable content from scan-only invoices for bookkeeping. Turn magazine PDFs into draft blog posts. Digitize lecture handouts for quick search and annotation. Convert image-heavy landing pages / advertorials into editable text for AI to analyze structure and content. An n8n automation workflow template by Hunyao.

By Rully Saputra

Daily Sales Metrics Auto-Insight with Gemini, Google Sheets, Calendar, Telegram, Trello and Gmail Who’s it for This workflow is ideal for sales managers, operations teams, and business owners who need daily automated sales summaries and team notifications. It eliminates the hassle of manually gathering, analyzing, and reporting daily sales data, providing instant insights and proactive notifications to keep your team aligned. How it works / What it does This advanced workflow automates the entire daily sales reporting pipeline with actionable team alerts: Webhook captures new sales entries in real-time. The data is logged into Google Sheets. It retrieves all rows to compile current sales metrics. A custom node concatenates the data into an AI-friendly format. The Google Gemini Chat Model generates concise sales insights. HTML tags are cleaned up with a Remove HTML Tags node. The insights are classified (Good, Bad, Very Bad) using AI. Based on the classification: -- Teams are alerted via Telegram group messages. -- For negative insights, a Trello card backlog is created for follow-up. -- A Google Calendar meeting is scheduled automatically to discuss issues. An email summary is also sent out via Gmail to ensure no update is missed How to set up Import the workflow into your n8n instance. Configure the Webhook URL in your data source (POS, CRM, etc.). Connect Google Sheets, Google Gemini API, Trello, Telegram, and Google Calendar. Adjust classification logic inside the Classify Insight node if needed. Customize the message templates for email and Telegram. Test the workflow with sample data to validate automation flow. Requirements n8n account with active workflows. Google Sheets API credentials. Google Gemini API access. Telegram Bot Token & Group ID. Trello API Key & Token. Google Calendar API setup. Gmail or SMTP credentials for email notifications. How to customize the workflow Adjust the Concat Sales Data node if you want to include more fields or different data formats. Modify the Gemini prompt for personalized insight summaries. Change the classification thresholds (Good, Bad, Very Bad) based on your business KPIs. Update the notification messages in Telegram and Email nodes. Add or remove post-classification actions, like creating different task cards or sending escalations to other platforms (Slack, Microsoft Teams, etc.). Automate daily sales insights from Google Sheets using Gemini AI, classify results, and notify your team via email, Telegram, Trello, and Google Calendar instantly. Email Preview. An n8n automation workflow template by Rully Saputra.

By Zain Khan

This workflow automatically summarizes your team's daily meetings from multiple Google Calendars daily at 9AM and sends the digest to your preferred communication channels. It uses AI to identify and format meeting details, making it easy to see your schedule at a glance. Good to Know Multi-Calendar Support**: This workflow is designed to pull events from any number of Google Calendars you've connected, providing a single, consolidated summary. AI-Powered Summaries**: The AI Agent, powered by Google Gemini, is instructed to format the output with key details like title, time, duration, and a link to join the meeting. This saves you from sifting through calendar invites. How It Works A Schedule Trigger starts the workflow at a set time each day e.g at 9 AM (or any other time you choose). An AI Agent with access to the Google Calendar tool is prompted to fetch today's events from all connected calendars. The Google Calendar nodes retrieve all meetings for the current day. The AI Agent processes this information and generates a clean, structured summary. Finally, the formatted summary is sent to your team's chosen communication platforms: Slack, Discord, and WhatsApp. How to Use Set the Schedule: Adjust the Schedule Trigger to run at a time that works best for your team—for example, every morning before the workday begins. Connect Your Accounts: Add your Google Calendar credentials to connect all the calendars you want to monitor. Choose Your Channels: Connect the appropriate Slack, Discord, and/or WhatsApp nodes and configure them to send the message to your desired channels or groups. Requirements Google Gemini account**: A Google Gemini account is needed for the AI Agent and Chat Model to function. Google Calendar account(s)**: You'll need to connect the Google Calendar accounts you wish to pull data from. Communication platform account(s)**: Credentials for the communication apps you want to use (Slack, Discord, WhatsApp). Customizing This Workflow Modify the Trigger: You can change the **Schedule Trigger to a different interval or even trigger the workflow manually with a webhook. Adjust the AI Prompt**: Fine-tune the AI Agent's prompt to change the summary format, include more details, or even ask it to highlight the most important meetings of the day. Add More Platforms**: Easily add more communication nodes to send the daily summary to other platforms like Microsoft Teams, email, or even a custom CRM. An n8n automation workflow template by Zain Khan.

By David Olusola

How It Works The workflow is an automated appointment reminder system built on n8n. Here is a step-by-step breakdown of its process: Reminder Webhook This node acts as the entry point for the workflow. It's a unique URL that waits for data to be sent to it from an external application, such as a booking or scheduling platform. When a new appointment is created in that system, it sends a JSON payload to this webhook. Extract Appointment Data This is a Code node that processes the incoming data. It's a critical step that: Extracts the customer's name, phone number, appointment time, and service from the webhook's JSON payload. Includes validation to ensure a phone number is present, throwing an error if it's missing. Formats the raw appointment time into a human-readable string for the SMS message. Send SMS Reminder This node uses your Twilio credentials to send an SMS message. It dynamically constructs the message using the data extracted in the previous step. The message is personalized with the customer's name and includes the formatted appointment details. Setup Instructions Import the Workflow Copy the JSON code from the Canvas and import it into your n8n instance. Connect Your Twilio Account Click on the "Send SMS Reminder" node. In the "Credentials" section, you will need to either select your existing Twilio account or add new credentials by providing your Account SID and Auth Token from your Twilio console. Find the Webhook URL Click on the "Reminder Webhook" node. The unique URL for this workflow will be displayed. Copy this URL. Configure Your Booking System Go to your booking or scheduling platform (e.g., Calendly, Acuity). In the settings or integrations section, find where you can add a new webhook. Paste the URL you copied from n8n here. You'll need to map the data fields from your booking system (like customer name, phone, etc.) to match the expected format shown in the comments of the "Extract Appointment Data" node. Once these steps are complete, your workflow will be ready to automatically send SMS reminders whenever a new appointment is created. An n8n automation workflow template by David Olusola.

By vinci-king-01

Smart IoT Device Health Monitor with AI-Powered Dashboard Analysis and Real-Time Alerting 🎯 Target Audience IT operations and infrastructure teams IoT system administrators and engineers Facility and building management teams Manufacturing and industrial operations managers Smart city and public infrastructure coordinators Healthcare technology administrators Energy and utilities monitoring teams Fleet and asset management professionals Security and surveillance system operators Property and facility maintenance teams 🚀 Problem Statement Monitoring hundreds of IoT devices across multiple dashboards is overwhelming and reactive, often leading to costly downtime, missed maintenance windows, and system failures. This template solves the challenge of proactive IoT device monitoring by automatically analyzing device health metrics, detecting issues before they become critical, and delivering intelligent alerts that help teams maintain optimal system performance. 🔧 How it Works This workflow automatically monitors your IoT dashboard every 30 minutes using AI-powered data extraction, analyzes device health patterns, calculates system-wide health scores, and sends intelligent alerts only when intervention is needed, preventing alert fatigue while ensuring critical issues are never missed. Key Components Schedule Trigger - Runs every 30 minutes for continuous device monitoring AI Dashboard Scraper - Uses ScrapeGraphAI to extract device data from any IoT dashboard without APIs Health Analyzer - Calculates system health scores and identifies problematic devices Smart Alert System - Sends notifications only when health drops below thresholds Telegram Notifications - Delivers formatted alerts with device details and recommendations Activity Logger - Maintains historical records for trend analysis and reporting 📊 Device Health Analysis Specifications The template monitors and analyzes the following device metrics: | Metric Category | Monitored Parameters | Analysis Method | Alert Triggers | Example Output | |-----------------|---------------------|-----------------|----------------|----------------| | Device Status | Online/Offline/Error | Real-time status check | Any offline devices | "Device-A01 is offline" | | Battery Health | Battery percentage | Low battery detection | Below 20% charge | "Sensor-B03 low battery: 15%" | | Temperature | Device temperature | Overheating detection | Above 70°C | "Gateway-C02 overheating: 75°C" | | System Health | Overall health score | Online device ratio | Below 80% health | "System health: 65%" | | Connectivity | Network status | Connection monitoring | Loss of communication | "3 devices offline" | | Performance | Response metrics | Trend analysis | Degraded performance | "Response time increasing" | 🛠️ Setup Instructions Estimated setup time: 15-20 minutes Prerequisites n8n instance with community nodes enabled ScrapeGraphAI API account and credentials Telegram bot token and chat ID Access to your IoT dashboard URL Basic understanding of your device naming conventions 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 Schedule Trigger Configure the monitoring frequency (default: every 30 minutes) Adjust timing based on your operational needs: Every 15 minutes: */15 * * * * Every hour: 0 * * * * Every 5 minutes: */5 * * * * 4. Configure Dashboard URL Update the "Get Data" node with your IoT dashboard URL Customize the AI prompt to match your dashboard structure Test data extraction to ensure proper JSON formatting Adjust device field mappings as needed 5. Set up Telegram Notifications Create a Telegram bot using @BotFather Get your chat ID from @userinfobot Configure Telegram credentials in n8n Test message delivery to ensure alerts work 6. Customize Health Thresholds Adjust health score threshold (default: 80%) Set battery alert level (default: 20%) Configure temperature warning (default: 70°C) Customize alert conditions based on your requirements 7. Test and Validate Run the workflow manually with your dashboard Verify device data extraction accuracy Test alert conditions and message formatting Confirm logging functionality works correctly 🔄 Workflow Customization Options Modify Monitoring Frequency Adjust schedule for different device criticality levels Add business hours vs. off-hours monitoring Implement variable frequency based on system health Add manual trigger for on-demand monitoring Extend Device Analysis Add more device metrics (memory, CPU, network bandwidth) Implement predictive maintenance algorithms Include environmental sensors (humidity, air quality) Add device lifecycle and warranty tracking Customize Alert Logic Implement escalation rules for critical alerts Add alert suppression during maintenance windows Create different alert channels for different severity levels Include automated ticket creation for persistent issues Output Customization Add integration with monitoring platforms (Grafana, Datadog) Implement email notifications for management reports Create executive dashboards with health trends Add integration with maintenance management systems 📈 Use Cases Industrial IoT Monitoring**: Track manufacturing equipment and sensors Smart Building Management**: Monitor HVAC, lighting, and security systems Fleet Management**: Track vehicle telematics and diagnostic systems Healthcare Device Monitoring**: Ensure medical device uptime and performance Smart City Infrastructure**: Monitor traffic lights, environmental sensors, and public systems Energy Grid Monitoring**: Track smart meters and distribution equipment 🚨 Important Notes Respect your dashboard's terms of service and rate limits Implement appropriate delays between requests to avoid overloading systems Regularly review and update device thresholds based on operational experience Monitor ScrapeGraphAI API usage to manage costs effectively Keep your credentials secure and rotate them regularly Ensure alert recipients are available to respond to critical notifications Consider implementing backup monitoring systems for critical infrastructure Maintain device inventories and update monitoring parameters as systems evolve 🔧 Troubleshooting Common Issues: ScrapeGraphAI connection errors: Verify API key and account status Dashboard access issues: Check URL accessibility and authentication requirements Data extraction failures: Review AI prompt and dashboard structure changes Missing device data: Verify device naming conventions and field mappings Alert delivery failures: Check Telegram bot configuration and chat permissions False alerts: Adjust health thresholds and alert logic conditions Support Resources: ScrapeGraphAI documentation and API reference n8n community forums for workflow assistance Telegram Bot API documentation IoT platform-specific monitoring best practices Device manufacturer monitoring guidelines Industrial IoT monitoring standards and frameworks. An n8n automation workflow template by vinci-king-01.

By vinci-king-01

Smart Blockchain Monitor with ScrapeGraphAI Risk Detection and Instant Alerts 🎯 Target Audience Cryptocurrency traders and investors DeFi protocol managers and developers Blockchain security analysts Financial compliance officers Crypto fund managers and institutions Risk management teams Blockchain developers monitoring smart contracts Digital asset custodians 🚀 Problem Statement Manual blockchain monitoring is time-consuming and prone to missing critical events, often leading to delayed responses to high-value transactions, security threats, or unusual network activity. This template solves the challenge of real-time blockchain surveillance by automatically detecting, analyzing, and alerting on significant blockchain events using AI-powered intelligence and instant notifications. 🔧 How it Works This workflow automatically monitors blockchain activity in real-time, uses ScrapeGraphAI to intelligently extract transaction data from explorer pages, performs sophisticated risk analysis, and instantly alerts your team about significant events across multiple blockchains. Key Components Blockchain Webhook - Real-time trigger that activates when new blocks are detected Data Normalizer - Standardizes blockchain data across different networks ScrapeGraphAI Extractor - AI-powered transaction data extraction from blockchain explorers Risk Analyzer - Advanced risk scoring based on transaction patterns and values Smart Filter - Intelligently routes only significant events for alerts Slack Alert System - Instant formatted notifications to your team 📊 Risk Analysis Specifications The template performs comprehensive risk analysis with the following parameters: | Risk Factor | Threshold | Score Impact | Description | |-------------|-----------|--------------|-------------| | High-Value Transactions | >$10,000 USD | +15 per transaction | Individual transactions exceeding threshold | | Block Volume | >$1M USD | +20 points | Total block transaction volume | | Block Volume | >$100K USD | +10 points | Moderate block transaction volume | | Failure Rate | >10% | +15 points | Percentage of failed transactions in block | | Multiple High-Value | >3 transactions | Alert trigger | Multiple large transactions in single block | | Critical Failure Rate | >20% | Alert trigger | Extremely high failure rate indicator | Risk Levels: High Risk**: Score ≥ 50 (Immediate alerts) Medium Risk**: Score ≥ 25 (Standard alerts) Low Risk**: Score < 25 (No alerts) 🌐 Supported Blockchains | Blockchain | Explorer | Native Support | Transaction Detection | |------------|----------|----------------|----------------------| | Ethereum | Etherscan | ✅ Full | High-value, DeFi, NFT | | Bitcoin | Blockchair | ✅ Full | Large transfers, institutional | | Binance Smart Chain | BscScan | ✅ Full | DeFi, high-frequency trading | | Polygon | PolygonScan | ✅ Full | Layer 2 activity monitoring | 🛠️ Setup Instructions Estimated setup time: 15-20 minutes Prerequisites n8n instance with community nodes enabled ScrapeGraphAI API account and credentials Slack workspace with webhook or bot token Blockchain data source (Moralis, Alchemy, or direct node access) Basic understanding of blockchain explorers 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 proper functionality 3. Set up Slack Integration Add Slack OAuth2 or webhook credentials Configure your target channel for blockchain alerts Test message delivery to ensure notifications work Customize alert formatting preferences 4. Configure Blockchain Webhook Set up the webhook endpoint for blockchain data Configure your blockchain data provider (Moralis, Alchemy, etc.) Ensure webhook payload includes block number and blockchain identifier Test webhook connectivity with sample data 5. Customize Risk Parameters Adjust high-value transaction threshold (default: $10,000) Modify risk scoring weights based on your needs Configure blockchain-specific risk factors Set failure rate thresholds for your use case 6. Test and Validate Send test blockchain data to trigger the workflow Verify ScrapeGraphAI extraction accuracy Check risk scoring calculations Confirm Slack alerts are properly formatted and delivered 🔄 Workflow Customization Options Modify Risk Analysis Adjust high-value transaction thresholds per blockchain Add custom risk factors (contract interactions, specific addresses) Implement whitelist/blacklist address filtering Configure time-based risk adjustments Extend Blockchain Support Add support for additional blockchains (Solana, Cardano, etc.) Customize explorer URL patterns Implement chain-specific transaction analysis Add specialized DeFi protocol monitoring Enhance Alert System Add email notifications alongside Slack Implement severity-based alert routing Create custom alert templates Add alert escalation rules Advanced Analytics Add transaction pattern recognition Implement anomaly detection algorithms Create blockchain activity dashboards Add historical trend analysis 📈 Use Cases Crypto Trading**: Monitor large market movements and whale activity DeFi Security**: Track protocol interactions and unusual contract activity Compliance Monitoring**: Detect suspicious transaction patterns Institutional Custody**: Alert on high-value transfers and security events Smart Contract Monitoring**: Track contract interactions and state changes Market Intelligence**: Analyze blockchain activity for trading insights 🚨 Important Notes Respect ScrapeGraphAI API rate limits and terms of service Implement appropriate delays to avoid overwhelming blockchain explorers Keep your API credentials secure and rotate them regularly Monitor API usage to manage costs effectively Consider blockchain explorer rate limits for high-frequency monitoring Ensure compliance with relevant financial regulations Regularly update risk parameters based on market conditions 🔧 Troubleshooting Common Issues: ScrapeGraphAI extraction errors: Check API key and account status Webhook trigger failures: Verify webhook URL and payload format Slack notification failures: Check bot permissions and channel access False positive alerts: Adjust risk scoring thresholds Missing transaction data: Verify blockchain explorer accessibility Rate limit errors: Implement delays and monitor API usage Support Resources: ScrapeGraphAI documentation and API reference n8n community forums for workflow assistance Blockchain explorer API documentation Slack API documentation for advanced configurations Cryptocurrency compliance and regulatory guidelines. An n8n automation workflow template by vinci-king-01.

By Peliqan

How it works This template is an end-to-end demo of a chatbot using business data from multiple sources (e.g. Notion, Chargebee, Hubspot etc.) with RAG + SQL. Peliqan.io is used as a "cache" of all business data. Peliqan uses one-click ELT to sync all your business data to its built-in data warehouse, allowing for fast & accurate RAG and "Text to SQL" queries. The workflow will write source data to Supabase as a vector store, for RAG searches by the chatbot. The source URL (e.g. the URL of a Notion page) is added in metadata. The AI Agent will decide for each question to use either RAG or Text-to-SQL or a combination of both. Text-to-SQL is performed via the Peliqan node, added as a tool to the AI Agent. The question of the user in natural language is converted to an SQL query by the AI Agent. The query is executed by Peliqan.io on the source data and the result is interpreted by the AI Agent. RAG is typically used to answer knowledge questions, often on non-structured data (Notion pages, Google Drive etc.). Text-to-SQL is typically used to answer analytical questions, for example "Show list of customers with number of open support tickets and add customer revenue based on invoiced amounts". Preconditions You signed up for a Peliqan.io free trial account You have one or more data sources, e.g. a CRM, ERP, Accounting software, files, Notion, Google Drive etc. Set up steps Sign up for a free trial on peliqan.io: https://peliqan.io Add one or more sources in Peliqan (e.g. Hubspot, Pipedrive...) Copy your Peliqan API key under settings and use it here to add a Peliqan connection Run the "RAG" workflow to feed Supabase, change the name of the table in the Peliqan node "Get table data". Update the list of tables & columns that can be used for SQL in the System Message of the AI Agent. Visit https://peliqan.io/n8n for more information. Disclaimer: This template contains a community node and therefore only works for n8n self-hosted users. An n8n automation workflow template by Peliqan.

By Gerald Denor

Automate Your Job Search: Find Job Listings on LinkedIn, Indeed, Glassdoor, Upwork & Adzuna! Stop wasting time manually searching for jobs! This powerful job search automation workflow for n8n is your secret weapon to finding and preparing for your next career move, effortlessly. Tired of visiting multiple job boards every day, running the same searches, and drowning in a sea of irrelevant listings? Our Job Search Automation workflow streamlines the entire process for you. It automatically scours top job boards, filters and deduplicates the results, and even helps you craft a tailored resume and cover letter. This workflow will automatically pull job listings from: LinkedIn: The world's largest professional network. Indeed: One of the most popular job search engines. Glassdoor: A leading platform for company reviews and job listings. Upwork: The go-to marketplace for freelance opportunities. Adzuna: A comprehensive job search engine with a massive database of listings. Key Features: Multi-Board Job Sourcing: Never miss an opportunity! This workflow simultaneously searches LinkedIn, Indeed, Glassdoor, Upwork, and Adzuna for your desired job title. Intelligent Filtering & Deduplication: Say goodbye to repetitive listings. The workflow cleans up the results, so you only see unique, relevant job postings. AI-Powered Resume & Cover Letter Generation: Once a promising job is found, the workflow uses AI to analyze the job description, score your resume's match, and then rewrites your resume and generates a tailored cover letter to highlight the right skills and experience. Automated Email Delivery: Receive the tailored resume and cover letter directly in your inbox, ready for you to review and send. Google Sheets Integration: Keep track of every job you're considering. The workflow automatically logs the job details, your tailored documents, and the application status in a Google Sheet. Fully Customizable: Easily adapt the workflow to your specific needs. Change the job titles, locations, and even add or remove job boards. Why You Need This Workflow: Save Dozens of Hours: Automate the most time-consuming parts of your job search. Discover More Opportunities: Cast a wider net by searching multiple platforms at once. Apply Faster: Get a head start with AI-generated, tailored application materials. Stay Organized: Effortlessly track your applications in a centralized location. Take control of your job search and land your dream job faster. Get the Job Search Automation workflow today! ============ How to configure your new n8n workflow. Prerequisites: An active n8n instance. Accounts for the services you want to use (Apify, Google, etc.). Configuration Steps: Apify Account & Scrapers: This workflow uses Apify to scrape job listings from Indeed, LinkedIn, Upwork, and Glassdoor. Create an Apify Account: If you don't have one, sign up at https://apify.com. A free plan is available. Get Your Apify API Key: In your Apify account, go to Settings > Integrations to find your API token. Add Apify Credentials to n8n: In your n8n workflow, navigate to the Apify: Run Indeed Scraper node. In the "Credentials" section, click to add new credentials. Give your credentials a name (e.g., "My Apify Account") and paste your API token. Apply Credentials to All Apify Nodes: You will need to select your newly created Apify credentials for the following nodes: Apify: Run Indeed Scraper Apify: Get Indeed Results Apify: Run LinkedIn Scraper Apify: Get LinkedIn Results Apify: Run Upwork Scraper Apify: Get Upwork Results Apify: Run Glassdoor Scraper Apify: Get Glassdoor Results Adzuna API (Optional but Recommended): The workflow uses Adzuna for an additional source of job listings. You will need to sign up for a free developer account to get an App ID and App Key. Sign Up: Go to https://developer.adzuna.com/ and register. Get Your Credentials: Once registered, you will find your app_id and app_key in your dashboard. Update the "Get Jobs from Adzuna" Node: Click on this node to open its parameters. In the URL field, place app_id and your app_key. OpenRouter for AI Models: This workflow uses OpenRouter to access various AI models for tasks like resume scoring and writing. Create an OpenRouter Account: Sign up at https://openrouter.ai/. Get Your API Key: Find your key in your account settings. Add OpenRouter Credentials to n8n: Go to the OpenRouter Chat Model node. Add your OpenRouter API key as new credentials. Google Sheets and Gmail Integration: Create a Google Sheet: Create a new Google Sheet to track your job applications. The workflow is pre-configured with the following columns, but you can customize them: job_title, job_description, job_url, company, email, status, tailored_resume, cover_letter. Add Google Credentials to n8n: You will need to authenticate your Google account in n8n to allow access to Sheets and Gmail. In the Upate sheets node, go to the "Credentials" section and follow the prompts to connect your Google account using OAuth2. Do the same for the 📧Gmail node. It's recommended to use the same credentials for both. Configure the "Upate sheets" Node: Select your Google Sheets credentials. In the "Document ID" field, enter the ID of the Google Sheet you created. You can find this in the URL of your sheet (it's the long string of characters between /d/ and /edit). In the "Sheet Name" field, select the correct sheet from the dropdown list. Setting up the Initial Request (Webhook): This workflow is triggered by a webhook. This means you can start it by sending a POST request from another application or using a tool like Postman. Find the Webhook URL: In the Webhook node, you will see a "Test URL" and a "Production URL". Use the production URL for live use. Required Data: The webhook expects a JSON body with the following fields: jobSearchKeyword: The job title you want to search for (e.g., "Software Engineer"). email: Your email address where the results will be sent. You will also need to upload your resume as a file in the request. Running the Workflow: Upload Your Resume: The workflow is designed to be initiated with your resume. When you trigger the webhook, you need to include the resume file. Activate the Workflow: Once all credentials are in place, save and activate your workflow. Trigger the Workflow: Send a POST request to the production webhook URL with the required JSON data and your resume file. You can use Postman to do this or replace the webhook with a form. You are now all set! The workflow will begin searching for jobs and preparing your application materials. Need Help? Reach me: https://www.linkedin.com/in/gerald-akhidenor-1ab1a45/ Work with me: https://dominixai.com/ My website: https://jobmonkey.dev My email: denorgerald@gmail.com. An n8n automation workflow template by Gerald Denor.

By Charles

🚀 Market Research Analytics System > Transform Google Maps data into actionable business insights with AI-powered analysis 📋 Overview This n8n workflow automatically collects business data from Google Maps, analyzes customer reviews using AI, and generates comprehensive market research reports delivered straight to your inbox. 🎯 Use Cases | User Type | Example Usage | |---------------|-------------------| | 🏢 Business Owners | Analyze competition before opening new location | | 💼 Entrepreneurs | Research market gaps and opportunities | | 📊 Marketing Teams | Understand customer sentiment and preferences | | 💰 Investors | Evaluate market potential in target areas | | 🔍 Consultants | Create detailed market reports for clients | 🛠️ Customization Examples Different Business Types // Restaurants {"search_query": "restaurants downtown", "analysis_focus": "restaurant"} // Hotels {"search_query": "hotels near airport", "analysis_focus": "hospitality"} // Fitness Centers {"search_query": "gyms and fitness centers", "analysis_focus": "fitness"} Multiple Cities // New York {"search_location": "@40.7589,-73.9851,12z", "city_name": "New York City"} // London {"search_location": "@51.5074,-0.1278,12z", "city_name": "London"} // Tokyo {"search_location": "@35.6762,139.6503,12z", "city_name": "Tokyo"} 📊 What You'll Get Your automated report includes: 🎯 Executive Summary Key market insights in 3-4 sentences Biggest business opportunities identified Immediate action recommendations 📈 Market Analysis Competition density and market gaps Price segments and quality distribution Geographic hotspots and trends 💬 Customer Intelligence Top 5 factors customers value most Common complaints and pain points Overall sentiment analysis 🏆 Competitive Landscape Strongest competitors identified Their strengths and weaknesses Positioning opportunities 💡 Strategic Recommendations Optimal business model suggestions Pricing and marketing strategies 30/90/180-day action plans ⚙️ Technical Requirements | Service | Cost | Purpose | |-------------|----------|-------------| | SerpAPI | Free tier (100 searches/month) | Google Maps data extraction | | Google Gemini | Free tier available | AI-powered analysis | | Gmail | Free | Report delivery | | n8n | Cloud or self-hosted | Workflow automation | 🚨 Important Notes API Limits:** Free tiers have monthly limits - monitor usage Data Accuracy:** Results depend on Google Maps data availability Processing Time:** Analysis may take 2-5 minutes depending on data volume Language Support:** Works with multiple languages (update language_code) 🔧 Troubleshooting | Issue | Solution | |-----------|--------------| | No results found | Check coordinates format and search query | | API errors | Verify API keys are correctly configured | | Email not received | Check Gmail credentials and recipient address | | Slow processing | Normal for large datasets (20+ businesses) | 🚀 Pro Tips 🎯 Be Specific:** Use targeted search queries like "vegan restaurants" vs "restaurants" 📅 Schedule Runs:** Set up recurring analysis to track market changes 🌍 Multi-Location:** Run for multiple cities to compare markets 📱 Mobile-First:** Reports are mobile-responsive for on-the-go reading 🔄 Iterate:** Refine search parameters based on initial results Ready to unlock your market insights? Configure your parameters and execute the workflow!. An n8n automation workflow template by Charles.

By Budi SJ

Automated Local Business Lead Generator with AI, Social Media & WhatsApp Links This workflow automates the process of generating and managing local business leads by scraping Google Maps data, analyzing business information with AI, and creating personalized outreach messages. The system searches for local businesses based on keywords and locations, extracts their contact information and reviews, then generates professional outreach messages tailored to each business. Results are stored in Google Sheets and notifications are sent via Telegram. 📊 Google Sheets Template Use this template: Local Business Lead Generator 🔑 Key Features 🔍 Searches Google Maps for local businesses using SerpAPI based on keywords and location parameters 📋 Collects comprehensive business information including name, address, rating, reviews, phone numbers, and websites 🤖 Uses OpenRouter's LLM to analyze business data and generate personalized outreach messages 🌐 Analyzes business websites to provide targeted improvement suggestions 📱 Automatically detects Instagram and TikTok profiles from business websites 🗣️ Generates messages in the local language based on country code settings 📊 Organizes and stores all collected data in Google Sheets with proper categorization 🚀 Sends real-time updates and lead summaries via Telegram bot 💬 Automatically creates WhatsApp links for easy business communication 🔧 Requirements SerpAPI Account + API Key** – For Google Maps business data extraction OpenRouter Account + API Key** – For AI-powered message generation and analysis Telegram Bot + API Token** – For notifications and bot interactions Google Sheets** – Connected to n8n for data storage Google Sheets Template** – Pre-configured with proper column structure 🎁 Benefits Fully automated lead generation and outreach system Saves time and increases efficiency for local business marketing High personalization improves engagement and response rate Scalable for any niche or location. An n8n automation workflow template by Budi SJ.

By Sk developer

🎬 YouTube to MP4 Downloader This n8n workflow allows users to submit a YouTube video URL, automatically fetches multiple MP4 and MP3 download links using YouTube Video Downloader Fast API. It logs all links into Google Sheets for easy access and tracking. With YouTube Video Downloader Fast API, users can securely download videos in different resolutions without manual tools. 🛠️ Node-by-Node Explanation 1️⃣ On Form Submission Displays a form to collect the YouTube video URL. Triggers the workflow when a URL is submitted for processing. 2️⃣ HTTP Request Sends the provided URL to YouTube Video Downloader Fast API via RapidAPI. Retrieves downloadable links for multiple resolutions (360p, 720p, 1080p) and MP3 format. Ensures the download process is fast and secure with YouTube Video Downloader Fast API. 3️⃣ If Node Checks if the API response from YouTube Video Downloader Fast API is successful. Proceeds only if valid downloadable links are available. 4️⃣ Google Sheets Saves the original YouTube URL and all MP4/MP3 download links in Google Sheets. Provides a permanent log for future access and tracking. 💡 Use Cases Content managers can bulk-download YouTube videos in different formats. Educators/trainers can easily organize video links for offline teaching. Marketing agencies can prepare high-quality video assets for campaigns. Developers can customize the workflow to integrate with other storage solutions. 🚀 Benefits Fully automated video downloading process with YouTube Video Downloader Fast API. Multiple resolutions and MP3 download options. Centralized, structured download logs in Google Sheets. Saves time, secure, and customizable for different needs. ✅ Problem Solved Eliminates the need for unsafe third-party downloaders. Provides fast and secure YouTube downloads using YouTube Video Downloader Fast API. Offers multiple video/audio formats without manual extraction. Ensures easy tracking and future accessibility of downloaded content. An n8n automation workflow template by Sk developer.

By Sk developer

🚀 Facebook to MP4 Video Downloader – Fully Customizable Automated Workflow Easily convert Facebook videos into downloadable MP4 files using Facebook Video Downloader API. This n8n workflow automates fetching videos, downloading them, uploading them to Google Drive, and logging results in Google Sheets. Users can modify and extend this flow according to their own needs (e.g., add email notifications, change storage location, or use another API). 📝 Node-by-Node Explanation On form submission → Triggers when a user submits a Facebook video URL via the form. (You can customize this form to include email or multiple URLs.) Facebook RapidAPI Request → Sends a POST request to Facebook Video Downloader API to fetch downloadable MP4 links. (Easily replace or update API parameters as needed.) If Node → Checks API response for errors before proceeding. (You can add more conditions to handle custom error scenarios.) MP4 Downloader → Downloads the Facebook video file from the received media URL. (You can change download settings, add quality filters, or store multiple resolutions.) Upload to Google Drive → Uploads the downloaded MP4 file to a Google Drive folder. (Easily switch to Dropbox, S3, or any other storage service.) Google Drive Set Permission → Sets the uploaded file to be publicly shareable. (You can make it private or share only with specific users.) Google Sheets → Logs successful conversions with the original URL and shareable MP4 link. (Customizable for additional fields like video title, size, or download time.) Wait Node → Delays before logging failed conversions to avoid rapid writes. (You can adjust the wait duration or add retry attempts.) Google Sheets Append Row → Records failed conversion attempts with N/A as the Drive URL. (You can add notification alerts for failed downloads.) ✅ Use Cases Automate Facebook video downloads for social media teams Instantly generate shareable MP4 links for clients or marketing campaigns Maintain a centralized log of downloaded videos for reporting Customizable flow for different video quality, formats, or storage needs 🚀 Benefits Fast and reliable Facebook video downloading with Facebook Video Downloader API Flexible and fully customizable – adapt nodes, storage, and notifications as required Automatic error handling and logging in Google Sheets Cloud-based storage with secure and shareable Google Drive links Seamless integration with n8n and Facebook Video Downloader API for scalable automation 🔑 Resolved: Manual Facebook video downloads are now fully automated, customizable, and scalable using Facebook Video Downloader API, Google Drive uploads, and detailed logging via Google Sheets. An n8n automation workflow template by Sk developer.

By Marth - Business Automation

How It Works: The 5-Node Anomaly Detection Flow This workflow efficiently processes logs to detect anomalies. Scheduled Check (Cron Node): This is the primary trigger. It schedules the workflow to run at a defined interval (e.g., every 15 minutes), ensuring logs are routinely scanned for suspicious activity. Fetch Logs (HTTP Request Node): This node is responsible for retrieving logs from an external source. It sends a request to your log API endpoint to get a batch of the most recent logs. Count Failed Logins (Code Node): This is the core of the detection logic. The JavaScript code filters the logs for a specific event ("login_failure"), counts the total, and identifies unique IPs involved. This information is then passed to the next node. Failed Logins > Threshold? (If Node): This node serves as the final filter. It checks if the number of failed logins exceeds a threshold you set (e.g., more than 5 attempts). If it does, the workflow is routed to the notification node; if not, the workflow ends safely. Send Anomaly Alert (Slack Node): This node sends an alert to your team if an anomaly is detected. The Slack message includes a summary of the anomaly, such as the number of failed attempts and the IPs involved, enabling a swift response. How to Set Up Implementing this essential log anomaly detector in your n8n instance is quick and straightforward. Prepare Your Credentials & API: Log API: Make sure you have an API endpoint or a way to get logs from your system (e.g., a server, CMS, or application). The logs should be in JSON format, and you'll need any necessary API keys or tokens. Slack Credential: Set up a Slack credential in n8n and get the Channel ID of your security alert channel (e.g., #security-alerts). Import the Workflow JSON: Create a new workflow in n8n and choose "Import from JSON." Paste the JSON code (which was provided in a previous response). Configure the Nodes: Scheduled Check (Cron): Set the schedule according to your preference (e.g., every 15 minutes). Fetch Logs (HTTP Request): Update the URL and header/authentication to match your specific log API endpoint. Count Failed Logins (Code): Verify that the JavaScript code matches your log's JSON format. You may need to adjust log.event === 'login_failure' if your log events use a different name. Failed Logins > Threshold? (If): Adjust the threshold value (e.g., 5) based on your risk tolerance. Send Anomaly Alert (Slack): Select your Slack credential and enter the correct Channel ID. Test and Activate: Manual Test: Run the workflow manually to confirm it fetches logs and processes them correctly. You can temporarily lower the threshold to 0 to ensure the alert is triggered. Verify Output: Check your Slack channel to confirm that alerts are formatted and sent correctly. Activate: Once you're confident in its function, activate the workflow. n8n will now automatically monitor your logs on the schedule you set. An n8n automation workflow template by Marth - Business Automation.

By Calistus Christian

What this template does Sends you an email (via Gmail) whenever any workflow that references this one fails. The message includes the workflow name/ID, execution URL, last node executed, and the error message. Why it’s useful Centralizes error notifications so you notice failures immediately and can jump straight to the failed execution. Prerequisites A Gmail account connected through n8n’s Gmail node credentials. This workflow set as the Error Workflow inside the workflows you want to monitor. How it works Error Trigger starts this workflow whenever a linked workflow fails. Gmail (Send → Message) composes and sends an email using details from the Error Trigger. Notes Error workflows don’t need to be activated to work. You can’t test them by running manually—errors must occur in an automatically run workflow (cron, webhook, etc.). An n8n automation workflow template by Calistus Christian.

By Robert Breen

This powerful n8n workflow helps you automatically re-engage cold leads by summarizing their past emails and generating personalized outreach with OpenAI. It pulls in contacts from Google Sheets, fetches their prior communication from Outlook, and then uses an AI agent to analyze, strategize, and write a draft re-engagement message — all automatically. ⚙️ What the Workflow Does 📄 Get Contacts from Google Sheets Pulls a list of contacts and their email addresses from a Google Sheet. 📥 Search Emails from Outlook For each contact, fetches all emails received from that address since January 1, 2025. 📊 Aggregate Emails Merges relevant email fields (subject, body, createdDateTime) into a single string for analysis. 🧠 Use OpenAI to Analyze and Draft Response AI Agent summarizes the lead’s communication history. Suggests how to re-engage them in bullet points. Writes a personalized draft email to re-initiate the conversation. 📝 Save to Google Sheets Appends or updates the original row with: Summary of communication Re-engagement ideas Suggested subject line Suggested email body 📤 Create Draft Email in Outlook Creates a draft email in your Microsoft Outlook account using the subject and body provided by OpenAI. The email is not sent automatically — giving you a chance to review and personalize further. 🧰 What You'll Need 🔐 Google Sheets API connection** OAuth2 credential setup in n8n Make a copy of this sample sheet 🔐 Microsoft Outlook OAuth2 connection** Connected inbox with access to historical messages 🔐 OpenAI API Key** Add your OpenAI key in the OpenAI Chat Model node Recommended model: gpt-4o-mini or higher 👨‍💼 Built By Robert Breen Automation Consultant | n8n Expert | Data Strategist 🔗 Website: https://ynteractive.com 📧 Email: robert@ynteractive.com 💼 LinkedIn: https://www.linkedin.com/in/robert-breen-29429625/ 🏷 Tags openai outlook email reengagement lead nurturing automation google sheets ai email gpt-4o crm sales automation. An n8n automation workflow template by Robert Breen.

By Luan Correia

🔍 Overview This template uses Firecrawl’s /search API to perform AI-powered web scraping and screenshots — no code required. Just type natural language prompts, and an AI Agent will convert them into precise Firecrawl queries. ⚙️ Setup Get your Firecrawl API Key from https://firecrawl.dev Add it to n8n using HTTP Header Auth: Key: Authorization Value: Bearer YOUR_API_KEY 🚀 What It Does Turns natural language into smart search queries Scrapes web data and captures full-page screenshots Returns titles, links, content, and images 💡 Example Input: > Find AI automation pages on YouTube (exclude Shorts) Result: { "query": "intitle:AI automation site:youtube.com -shorts", "limit": 5 }. An n8n automation workflow template by Luan Correia.

By Matthew

AI-Powered Viral Video Factory 🚀 This workflow automates the entire process of creating short, cinematic, fact-based videos ready for social media. It takes a single concept, generates a script and visuals, creates video clips, adds a voiceover, and assembles a final video, which is then uploaded directly to your Google Drive. It's perfect for content creators and marketing agencies looking to scale video production with minimal manual effort. How It Works 🎬 Generate a Viral Idea 💡: The workflow begins with the Create New Idea1 (OpenAI) node, which generates a viral-ready video concept, including a punchy title, hashtags, and a brief description based on a core theme (e.g., space, black holes). This idea is then logged in a Google Sheet. Create a Cinematic Script & Voiceover 📜: An OpenAI node (Generating scenes1) creates a detailed 12-scene script, outlining the visuals for a 60-second video. The script text for all scenes is combined and prepared for voiceover generation by another OpenAI node (Generate Voiceover). Generate Scene-by-Scene Visuals ✨: The workflow loops through each of the 12 scenes to create an animated clip: Image Generation: An HTTP Request node sends the scene's prompt to the fal-ai/flux model to create a photorealistic still image. Animation Prompting: The Video Prompts1 (OpenAI Vision) node analyzes the generated image and creates a new, specific prompt to animate it cinematically. Image-to-Video: Another HTTP Request node uses the fal-ai/kling-video model to turn the still image into a 5-second animated video clip based on the new animation prompt. Assemble the Final Video 🎞️: Stitch Clips: Once all 12 clips are generated, the Merge Clips node uses the fal-ai/ffmpeg-api to concatenate them into a single, seamless 60-second video. Add Audio: The Combine Voice and Video node then layers the AI-generated voiceover onto the stitched video. Deliver to Google Drive 📂: Finally, the completed video is converted from a URL to a file and automatically uploaded to your specified Google Drive folder for easy access and publishing. Key Technologies Used n8n**: For orchestrating the entire automated workflow. OpenAI (GPT-4.1 & GPT-4o)**: For idea generation, scriptwriting, voiceover, and vision analysis. Fal.ai**: For high-performance, API-based image generation (Flux), video animation (Kling), and video processing (FFMPEG API). Google Drive & Sheets**: For logging ideas and storing the final video output. Setup Instructions Add Credentials: In n8n, add your OpenAI API key. Connect your Google account for Google Sheets and Google Drive access. You will need a Fal.ai API Key. Configure Fal.ai API Key: Crucially, you must replace the placeholder API key in all HTTP Request nodes that call the fal.run URL. Find the Authorization header in each of these nodes and replace the existing key with your own Key YOUR_FAL_AI_KEY_HERE. Nodes to update: Create Images1, Get Images1, Create Video1, Get Video1, Merge Clips, Get Final video, Combine Voice and Video. Configure OpenAI Nodes: Select each OpenAI node (e.g., Create New Idea1, Generating scenes1) and choose your OpenAI credential. You can customize the main prompt in the Create New Idea1 node to change the theme of the videos you want to generate. Configure Google Sheets & Drive: In the Organise idea, caption etc1 node, select your Google Sheets credential and specify the Spreadsheet and Sheet ID you want to use for logging ideas. In the Upload file to drive node, select your Google Drive credential and choose the destination folder for your final videos. An n8n automation workflow template by Matthew.

By Ezema Kingsley Chibuzo

📧 What It Does This n8n workflow sends personalized marketing or outreach emails using predefined templates stored in Google Sheets, with SendGrid as the email delivery provider. Instead of relying on dynamic AI content, this setup selects a ready-made template and merges it with business-specific lead data — delivering consistent and fast email personalization at scale. 💡 Why This Workflow? Sometimes, you don’t need the overhead or variability of AI-generated content. Predefined templates give you: ⚡ Faster execution — no calls to AI models 🎯 Total control over tone, formatting, and structure 🛠️ Easy customization using variables like [BusinessName], [Location], etc. 💰 Zero additional cost per email 👤 Who It’s For Freelancers* or *Agencies** running outreach campaigns Startups* or *SMBs** with lead data in Google Sheets Anyone who wants to automate email sending with consistency, control, and low cost. ⚙️ How It Works Manual Trigger starts the workflow. Google Sheets (Leads tab) supplies a list of businesses with fields like name, location, email, category, etc. Loop started to execute each item. Google Sheets (Email Template tab) holds predefined subject and body templates (HTML supported). A random template is selected for each email. Placeholders like [BusinessName] or [Category] are replaced with actual lead info using the Fix Variable (Set) node. The formatted message is sent via SendGrid, using your authenticated sender email. A 1-second wait is added between emails to manage rate limits and avoid spam flags. Loop continues until all leads have been emailed. 🛠 How to Set It Up Import the .json file into your n8n instance. Connect the required credentials: SendGrid API Key (ensure sender domain and identity is verified) Google Sheets OAuth2 Create or duplicate this sample sheet, which contains two tabs and modify to your business interest: Leads Email Template Update the leads and email templates to match your campaign. Click “Execute Workflow” to begin sending emails. 🚀 Want to Scale This? Add additional workflows: 📬 SendGrid Webhook integration to track status & engagements like bounces, opens, and clicks 🔁 Reply tracker via Gmail to update lead status 🤖 AI-based Email Router to label replies as Interested, Not Interested, Others, Forward emails to appropriate department for further engagements. 📆 Follow-up Emails (when there's no email reply) for D+5, D+10 days sequences 📬 Need Help? Feel free to reach out via email: buzanalytics@gmail.com Thanks for using this workflow. An n8n automation workflow template by Ezema Kingsley Chibuzo.

By Yaron Been

Support Director Agent with Customer Support Team Description Complete AI-powered customer support department with a Support Director agent orchestrating specialized support team members for comprehensive customer service operations. Overview This n8n workflow creates a comprehensive customer support department using AI agents. The Support Director agent analyzes support requests and delegates tasks to specialized agents for tier 1 support, technical assistance, customer success, knowledge management, escalation handling, and quality assurance. Features Strategic Support Director agent using OpenAI O3 for complex support decision-making Six specialized support agents powered by GPT-4.1-mini for efficient execution Complete customer support lifecycle coverage from first contact to resolution Automated technical troubleshooting and documentation creation Customer success and retention strategies Escalation management for priority issues Quality assurance and performance monitoring Team Structure Support Director Agent**: Strategic support oversight and task delegation (O3 model) Tier 1 Support Agent**: First-line support, basic troubleshooting, account assistance Technical Support Specialist**: Complex technical issues, API debugging, integrations Customer Success Advocate**: Onboarding, feature adoption, retention strategies Knowledge Base Manager**: Help articles, FAQs, documentation creation Escalation Handler**: Priority issues, VIP customers, crisis management Quality Assurance Specialist**: Support quality monitoring, performance analysis How to Use Import the workflow into your n8n instance Configure OpenAI API credentials for all chat models Deploy the webhook for chat interactions Send support requests via chat (e.g., "Customer can't connect to our API endpoint") The Support Director will analyze and delegate to appropriate specialists Receive comprehensive support solutions and documentation Use Cases Complete Support Cycle**: Inquiry triage → Resolution → Follow-up → Quality review Technical Documentation**: API troubleshooting guides, integration manuals Customer Onboarding**: Welcome sequences, feature tutorials, training materials Escalation Management**: VIP support protocols, complaint resolution procedures Quality Monitoring**: Response evaluation, team performance analytics Knowledge Base**: Self-service content creation, FAQ optimization Requirements n8n instance with LangChain nodes OpenAI API access (O3 for Support Director, GPT-4.1-mini for specialists) Webhook capability for chat interactions Optional: Integration with CRM, helpdesk, or ticketing systems Cost Optimization O3 model used only for strategic Support Director decisions GPT-4.1-mini provides 90% cost reduction for specialist tasks Parallel processing enables simultaneous agent execution Solution template library reduces redundant response generation Integration Options Connect to helpdesk systems (Zendesk, Freshdesk, Intercom, etc.) Integrate with CRM platforms (Salesforce, HubSpot, etc.) Link to knowledge base systems (Confluence, Notion, etc.) Connect to monitoring tools for proactive support Building Blocks Disclaimer Important Note: This workflow is designed as a foundational building block for your customer support automation. While it provides a comprehensive multi-agent framework, you may need to customize prompts, add specific integrations, or modify agent behaviors to match your exact business requirements and support processes. Consider this a starting point that can be extended and tailored to your unique customer support needs. Contact & Resources Website**: nofluff.online YouTube**: @YaronBeen LinkedIn**: Yaron Been Tags #CustomerSupport #HelpDesk #TechnicalSupport #CustomerSuccess #SupportAutomation #QualityAssurance #KnowledgeManagement #EscalationManagement #ServiceExcellence #CustomerExperience #n8n #OpenAI #MultiAgentSystem #SupportTech #CX #Troubleshooting #CustomerCare #SupportOps. An n8n automation workflow template by Yaron Been.

By Yaron Been

CTO Agent with Engineering Team Description Complete AI-powered engineering department with a Chief Technology Officer (CTO) agent orchestrating specialized engineering team members for comprehensive software development and technical operations. Overview This n8n workflow creates a comprehensive engineering department using AI agents. The CTO agent analyzes technical requests and delegates tasks to specialized agents for software architecture, DevOps, security, quality assurance, backend development, and frontend development. Features Strategic CTO agent using OpenAI O3 for complex technical decision-making Six specialized engineering agents powered by GPT-4.1-mini for efficient execution Complete software development lifecycle coverage from architecture to deployment Automated DevOps pipelines and infrastructure management Security assessments and compliance frameworks Quality assurance and test automation strategies Full-stack development capabilities Team Structure CTO Agent**: Technical leadership and strategic delegation (O3 model) Software Architect Agent**: System design, patterns, technology stack decisions DevOps Engineer Agent**: CI/CD pipelines, infrastructure automation, containerization Security Engineer Agent**: Application security, vulnerability assessments, compliance QA Test Engineer Agent**: Test automation, quality strategies, performance testing Backend Developer Agent**: Server-side development, APIs, database architecture Frontend Developer Agent**: UI/UX development, responsive design, frontend frameworks How to Use Import the workflow into your n8n instance Configure OpenAI API credentials for all chat models Deploy the webhook for chat interactions Send technical requests via chat (e.g., "Design a scalable microservices architecture for our e-commerce platform") The CTO will analyze and delegate to appropriate specialists Receive comprehensive technical deliverables Use Cases Full Stack Development**: Complete application architecture and implementation System Architecture**: Scalable designs for microservices and distributed systems DevOps Automation**: CI/CD pipelines, containerization, cloud deployment strategies Security Audits**: Vulnerability assessments, secure coding practices, compliance Quality Assurance**: Test automation frameworks, performance testing strategies Technical Documentation**: API documentation, system diagrams, deployment guides Requirements n8n instance with LangChain nodes OpenAI API access (O3 for CTO, GPT-4.1-mini for specialists) Webhook capability for chat interactions Optional: Integration with development tools and platforms Cost Optimization O3 model used only for strategic CTO decisions GPT-4.1-mini provides 90% cost reduction for specialist tasks Parallel processing enables simultaneous agent execution Code template library reduces redundant development work Integration Options Connect to development platforms (GitHub, GitLab, Bitbucket) Integrate with project management tools (Jira, Trello, Asana) Link to monitoring and logging systems Export to documentation platforms Contact & Resources Website**: nofluff.online YouTube**: @YaronBeen LinkedIn**: Yaron Been Tags #SoftwareEngineering #TechStack #DevOps #SecurityFirst #QualityAssurance #FullStackDevelopment #Microservices #CloudNative #TechLeadership #EngineeringAutomation #n8n #OpenAI #MultiAgentSystem #EngineeringExcellence #DevAutomation #TechInnovation. An n8n automation workflow template by Yaron Been.

By Yaron Been

CDO Agent with Data Analytics Team Description Complete AI-powered data analytics department with a Chief Data Officer (CDO) agent orchestrating specialized data team members for comprehensive data science, business intelligence, and analytics operations. Overview This n8n workflow creates a comprehensive data analytics department using AI agents. The CDO agent analyzes data requests and delegates tasks to specialized agents for data science, business intelligence, data engineering, machine learning, data visualization, and data governance. Features Strategic CDO agent using OpenAI O3 for complex data strategy and decision-making Six specialized data analytics agents powered by GPT-4.1-mini for efficient execution Complete data analytics lifecycle coverage from collection to insights Automated data pipeline management and ETL processes Advanced machine learning model development and deployment Interactive data visualization and business intelligence reporting Comprehensive data governance and compliance frameworks Team Structure CDO Agent**: Data strategy leadership and team delegation (O3 model) Data Scientist Agent**: Statistical analysis, predictive modeling, machine learning algorithms Business Intelligence Analyst Agent**: Business metrics, KPI tracking, performance dashboards Data Engineer Agent**: Data pipelines, ETL processes, data warehousing, infrastructure Machine Learning Engineer Agent**: ML model deployment, MLOps, model monitoring Data Visualization Specialist Agent**: Interactive dashboards, data storytelling, visual analytics Data Governance Specialist Agent**: Data quality, compliance, privacy, governance policies How to Use Import the workflow into your n8n instance Configure OpenAI API credentials for all chat models Deploy the webhook for chat interactions Send data analytics requests via chat (e.g., "Analyze customer churn patterns and create predictive models") The CDO will analyze and delegate to appropriate specialists Receive comprehensive data insights and deliverables Use Cases Predictive Analytics**: Customer behavior analysis, sales forecasting, risk assessment Business Intelligence**: KPI tracking, performance analysis, strategic business insights Data Engineering**: Pipeline automation, data warehousing, real-time data processing Machine Learning**: Model development, deployment, monitoring, and optimization Data Visualization**: Interactive dashboards, executive reporting, data storytelling Data Governance**: Quality assurance, compliance frameworks, data privacy protection Requirements n8n instance with LangChain nodes OpenAI API access (O3 for CDO, GPT-4.1-mini for specialists) Webhook capability for chat interactions Optional: Integration with data platforms and analytics tools Cost Optimization O3 model used only for strategic CDO decisions and complex data strategy GPT-4.1-mini provides 90% cost reduction for specialist data tasks Parallel processing enables simultaneous agent execution Template libraries reduce redundant analytics development work Integration Options Connect to data platforms (Snowflake, BigQuery, Redshift, Databricks) Integrate with BI tools (Tableau, Power BI, Looker, Grafana) Link to ML platforms (AWS SageMaker, Azure ML, Google AI Platform) Export to business applications and reporting systems Disclaimer: This workflow is provided as a building block for your automation needs. Please review and customize the agents, prompts, and connections according to your specific data analytics requirements and organizational structure. Contact & Resources Website**: nofluff.online YouTube**: @YaronBeen LinkedIn**: Yaron Been Tags #DataAnalytics #DataScience #BusinessIntelligence #MachineLearning #DataEngineering #DataVisualization #DataGovernance #PredictiveAnalytics #BigData #DataDriven #DataStrategy #AnalyticsAutomation #DataPipelines #MLOps #DataQuality #BusinessMetrics #KPITracking #DataInsights #AdvancedAnalytics #n8n #OpenAI #MultiAgentSystem #DataTeam #AnalyticsWorkflow #DataOperations. An n8n automation workflow template by Yaron Been.

By Yaron Been

🌟 AI-05: CCO Customer Success Team - Multi-Agent AI Workflow 📋 Overview Transform your customer success operations with this comprehensive AI-powered workflow featuring a strategic Chief Customer Officer (CCO) agent and six specialized customer success agents. This multi-agent system handles everything from onboarding to retention, ensuring maximum customer satisfaction and revenue expansion. 🔗 Links: YouTube Channel**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Website**: https://nofluff.online ⚙️ How It Works Customer Success Request: Chat interface receives requests like "Create a comprehensive onboarding program for enterprise customers" CCO Strategic Analysis: O3-powered CCO agent analyzes customer lifecycle and determines optimal success strategy Specialist Delegation: Work distributed to 6 specialized agents for execution Comprehensive Output: Integrated customer success deliverables with actionable recommendations 👥 Meet Your AI Customer Success Team | Agent | Specialization | Model | Primary Output | |-------|----------------|-------|---------------| | 🌟 CCO Agent | Customer success strategy & retention oversight | O3 | Strategic customer success planning | | 🚀 Customer Onboarding Specialist | Onboarding flows, welcome sequences, setup guides | GPT-4.1-mini | Onboarding programs | | 🆘 Customer Support Specialist | Support workflows, troubleshooting, help documentation | GPT-4.1-mini | Support systems | | 💊 Customer Health Analyst | Health scoring, risk identification, usage analytics | GPT-4.1-mini | Health assessments | | 📈 Upsell & Expansion Specialist | Growth opportunities, expansion strategies, upgrade paths | GPT-4.1-mini | Expansion plans | | 🎓 Customer Training Specialist | Training programs, certification courses, skill development | GPT-4.1-mini | Training curricula | | 🔄 Retention & Loyalty Specialist | Churn prevention, loyalty programs, renewal strategies | GPT-4.1-mini | Retention campaigns | 💡 Use Cases Complete Onboarding Programs**: Welcome sequences → Setup guides → Success milestones Customer Health Monitoring**: Usage tracking → Risk identification → Intervention strategies Expansion Revenue**: Account analysis → Upsell opportunities → Growth planning Support Excellence**: Knowledge bases → Workflow automation → Response optimization Training & Certification**: Learning paths → Skill assessments → Certification programs Retention Campaigns**: Churn prediction → Win-back strategies → Loyalty building 🎯 Key Benefits Proactive Success Management**: Identify and address customer needs before they become issues Revenue Expansion**: Systematic approach to identifying and capturing growth opportunities Operational Efficiency**: Streamlined processes for onboarding, support, and retention Data-Driven Insights**: Customer health scoring and predictive analytics Scalable Training**: Automated customer education and certification programs 💸 Cost Optimization Strategy O3 for CCO**: High-level customer success strategy and complex relationship management GPT-4.1-mini for Specialists**: 90% cost reduction for execution tasks Parallel Processing**: Multiple customer success workstreams handled simultaneously Template Reuse**: Proven customer success frameworks and best practices 🏗️ Building Blocks Approach This workflow provides foundational customer success components that you should customize: Adjust agent prompts** to match your industry, product, and customer segments Add relevant tools** like CRM integrations, analytics platforms, and communication systems Customize outputs** to align with your customer success methodology and KPIs Integrate workflows** with your existing customer success tech stack 🏷️ Tags #CustomerSuccess #CustomerExperience #ChurnPrevention #CustomerOnboarding #CustomerRetention #RevenueExpansion #CustomerHealth #CustomerSupport #CustomerTraining #LoyaltyPrograms #CustomerAnalytics #n8n #OpenAI #MultiAgentWorkflow #CustomerSuccessOps #CSMAutomation. An n8n automation workflow template by Yaron Been.

By Yaron Been

CLO Agent with Legal Team Description Navigate legal complexities with an AI-powered Chief Legal Officer (CLO) agent orchestrating specialized legal team members for comprehensive legal operations and risk management. Overview This n8n workflow creates a comprehensive legal department using AI agents. The CLO agent analyzes legal requirements and delegates tasks to specialized agents for contract management, compliance, intellectual property, privacy law, corporate governance, and employment law. ⚠️ IMPORTANT DISCLAIMER: These AI agents provide legal information and templates, NOT legal advice. Always consult qualified legal professionals for binding legal matters. This workflow does not create attorney-client privilege or provide professional legal liability coverage. Building Blocks Approach This workflow provides foundational AI agents as building blocks for your legal operations. Feel free to: Customize agent prompts to match your industry and legal requirements Add relevant legal tools and integrations (contract management, compliance platforms) Modify specialist focus areas based on your specific legal needs Integrate with legal research databases and document management systems Adjust the CLO's strategic oversight to align with your risk tolerance Features Strategic CLO agent using OpenAI O3 for complex legal strategy and risk assessment Six specialized legal agents powered by GPT-4.1-mini for efficient execution Complete legal lifecycle coverage from contracts to compliance Automated document generation and review processes Risk assessment and mitigation strategies Intellectual property protection workflows Privacy and data protection compliance Team Structure CLO Agent**: Legal strategy and risk management coordination (O3 model) Contract Specialist**: Contract drafting, review, negotiation terms, agreement analysis Compliance Officer**: Regulatory compliance, legal requirements, audits, risk assessment IP Specialist**: Patents, trademarks, copyrights, trade secrets, IP protection Privacy Lawyer**: GDPR, CCPA, data privacy policies, data protection compliance Corporate Lawyer**: Corporate governance, M&A, securities law, business formation Employment Lawyer**: Employment contracts, workplace policies, labor law, HR legal issues How to Use Import the workflow into your n8n instance Configure OpenAI API credentials for all chat models Deploy the webhook for chat interactions Send legal requests via chat (e.g., "Draft a software licensing agreement") The CLO will analyze and delegate to appropriate specialists Receive comprehensive legal deliverables and risk assessments Use Cases Contract Lifecycle Management**: Draft → Review → Negotiate → Execute → Monitor Compliance Programs**: Policy creation → Risk assessment → Audit preparation IP Protection Strategy**: Patent applications → Trademark registration → Copyright notices Privacy Compliance**: GDPR assessments → Privacy policies → Data mapping exercises Corporate Governance**: Board resolutions → Shareholder agreements → Corporate bylaws Employment Law**: Policy manuals → Contract templates → Dispute resolution procedures Legal Document Automation**: Template creation → Review workflows → Version control Risk Assessment**: Legal risk evaluation → Mitigation strategies → Compliance monitoring Requirements n8n instance with LangChain nodes OpenAI API access (O3 for CLO, GPT-4.1-mini for specialists) Webhook capability for chat interactions Optional: Integration with legal management tools (contract management systems, legal research databases) Legal Scope & Limitations This AI workflow provides: ✅ Legal document templates and frameworks ✅ Compliance checklists and procedures ✅ Risk assessment methodologies ✅ Legal research summaries and insights This AI workflow does NOT provide: ❌ Legal advice or professional legal counsel ❌ Attorney-client privilege protection ❌ Court representation or litigation support ❌ Professional legal liability coverage ❌ Jurisdiction-specific legal opinions Cost Optimization O3 model used only for strategic CLO decisions and complex legal analysis GPT-4.1-mini provides 90% cost reduction for specialist document tasks Parallel processing enables simultaneous legal workstream execution Template library reduces redundant legal document generation Integration Options Connect to contract management systems (DocuSign, PandaDoc, ContractWorks) Integrate with legal research databases (Westlaw, LexisNexis) Link to compliance management platforms (GRC tools, audit systems) Export to document management systems (SharePoint, Box, Google Drive) Performance Metrics Contract cycle time reduction and accuracy Compliance audit success rates Legal risk identification and mitigation effectiveness Document review efficiency and consistency Cost per legal matter and resource utilization Contact & Resources Website**: nofluff.online YouTube**: @YaronBeen LinkedIn**: Yaron Been Tags #LegalTech #ContractAutomation #ComplianceTech #LegalAI #LegalOps #IntellectualProperty #PrivacyLaw #CorporateLaw #EmploymentLaw #LegalInnovation #n8n #OpenAI #MultiAgentSystem #LegalDocument #RiskManagement #LegalStrategy. An n8n automation workflow template by Yaron Been.

By Yaron Been

CPO Agent with Product Team Description Streamline product development with an AI-powered Chief Product Officer (CPO) agent orchestrating specialized product team members for comprehensive product strategy and execution. Overview This n8n workflow creates a comprehensive product development department using AI agents. The CPO agent analyzes product opportunities and delegates tasks to specialized agents for product management, UX design, user research, analytics, documentation, and strategic planning. Features Strategic CPO agent using OpenAI O3 for complex product strategy and decision-making Six specialized product agents powered by GPT-4.1-mini for efficient execution Complete product lifecycle coverage from ideation to launch Automated user research and persona development UX/UI design specifications and wireframing Product analytics and KPI tracking Technical documentation and API specifications Team Structure CPO Agent**: Product vision and strategy coordination (O3 model) Product Manager**: Roadmaps, feature specifications, user stories, planning UX/UI Designer**: User flows, wireframes, interface design, usability User Research Specialist**: Research plans, personas, market analysis, insights Product Analytics Specialist**: Metrics, KPIs, A/B testing, data analysis Technical Writer**: Product documentation, API docs, user guides Product Strategy Analyst**: Competitive analysis, market positioning, GTM strategy How to Use Import the workflow into your n8n instance Configure OpenAI API credentials for all chat models Deploy the webhook for chat interactions Send product requests via chat (e.g., "Design a new mobile app feature for user onboarding") The CPO will analyze and delegate to appropriate specialists Receive comprehensive product deliverables and strategic insights Use Cases Feature Development**: Concept → Research → Design → Specifications → Metrics Product Launch**: Strategy → Documentation → Analytics → Go-to-market planning User Experience Optimization**: Research → Personas → User flows → Testing → Iteration Competitive Analysis**: Market research → Positioning → Differentiation strategies Product Roadmapping**: Vision → Priorities → Timeline → Resource planning Documentation Suite**: User guides → API documentation → Technical specifications Analytics Implementation**: KPI definition → Tracking setup → Performance analysis Market Research**: Customer interviews → Persona development → Requirements gathering Requirements n8n instance with LangChain nodes OpenAI API access (O3 for CPO, GPT-4.1-mini for specialists) Webhook capability for chat interactions Optional: Integration with product management tools (Jira, Figma, etc.) Cost Optimization O3 model used only for strategic CPO decisions GPT-4.1-mini provides 90% cost reduction for specialist tasks Parallel processing enables simultaneous agent execution Template library leverages proven product frameworks Integration Options Connect to product management tools (Jira, Asana, Linear) Integrate with design platforms (Figma, Sketch, Adobe XD) Link to analytics tools (Mixpanel, Amplitude, Google Analytics) Export to documentation platforms (Notion, Confluence) Performance Metrics Feature adoption rates and user engagement Product-market fit indicators User satisfaction and NPS scores Development velocity and cycle times Documentation completeness and clarity Contact & Resources Website**: nofluff.online YouTube**: @YaronBeen LinkedIn**: Yaron Been Tags #ProductManagement #UXDesign #UserResearch #ProductStrategy #ProductOps #ProductAnalytics #TechnicalWriting #ProductDevelopment #FeatureDesign #ProductAI #n8n #OpenAI #MultiAgentSystem #ProductTech #ProductLeadership #Innovation. An n8n automation workflow template by Yaron Been.

By Yaron Been

CSO Agent with Sales Team Description Complete AI-powered sales department with a Chief Sales Officer (CSO) agent orchestrating specialized sales team members for comprehensive revenue operations and sales automation. Overview This n8n workflow creates a comprehensive sales department using AI agents. The CSO agent analyzes sales opportunities and delegates tasks to specialized agents for lead generation, copywriting, proposals, objection handling, demos, and follow-up sequences. Features Strategic CSO agent using OpenAI O3 for complex sales strategy and decision-making Six specialized sales agents powered by GPT-4.1-mini for efficient execution Complete sales funnel coverage from lead generation to deal closure Automated proposal and contract generation Objection handling playbooks and closing techniques Demo preparation and presentation materials Follow-up and nurture campaign automation Team Structure CSO Agent**: Strategic sales oversight and team coordination (O3 model) Lead Generation Specialist**: Prospecting, research, qualification, cold outreach Sales Copywriter**: Pitch decks, proposals, sales collateral, persuasive content Proposal & Contract Specialist**: Deal structuring, terms negotiation, contracts Objection Handler**: Sales objections, responses, closing techniques Demo & Presentation Expert**: Demo scripts, presentation materials, call preparation Follow-up & Nurture Specialist**: Sequence campaigns, relationship building How to Use Import the workflow into your n8n instance Configure OpenAI API credentials for all chat models Deploy the webhook for chat interactions Send sales requests via chat (e.g., "Create a complete B2B SaaS sales campaign") The CSO will analyze and delegate to appropriate specialists Receive comprehensive sales deliverables and strategies Use Cases Complete Sales Funnels**: Lead generation → Qualification → Demo → Proposal → Close Account-Based Sales**: Personalized outreach strategies for enterprise accounts Product Launch Sales**: Go-to-market strategy with full sales enablement Objection Playbooks**: Comprehensive responses to common sales objections Demo Optimization**: Compelling presentations tailored to different audiences Follow-up Automation**: Systematic nurturing to prevent lead loss Proposal Generation**: Professional proposals with terms and pricing Sales Training**: Objection handling and closing technique development Requirements n8n instance with LangChain nodes OpenAI API access (O3 for CSO, GPT-4.1-mini for specialists) Webhook capability for chat interactions Optional: Integration with CRM systems (Salesforce, HubSpot, etc.) Cost Optimization O3 model used only for strategic CSO decisions GPT-4.1-mini provides 90% cost reduction for specialist tasks Parallel processing enables simultaneous agent execution Template library reduces redundant content generation Integration Options Connect to CRM systems for lead management Integrate with email platforms for outreach automation Link to proposal and contract management tools Export to sales enablement platforms Performance Metrics Lead qualification accuracy and conversion rates Proposal win rates and deal velocity Objection handling success rates Demo-to-close conversion optimization Follow-up engagement and response rates Contact & Resources Website**: nofluff.online YouTube**: @YaronBeen LinkedIn**: Yaron Been Tags #SalesOps #LeadGeneration #SalesEnablement #RevenueGrowth #SalesAutomation #B2BSales #SalesStrategy #ProposalAutomation #DemoOptimization #SalesAI #n8n #OpenAI #MultiAgentSystem #SalesTech #RevOps #PipelineAutomation. An n8n automation workflow template by Yaron Been.

By Yaron Been

CHRO Agent with HR Team Description Complete AI-powered HR department with a Chief Human Resources Officer (CHRO) agent orchestrating specialized HR team members for comprehensive people operations. Overview This n8n workflow creates a comprehensive human resources department using AI agents. The CHRO agent analyzes HR requests and delegates tasks to specialized agents for recruitment, policy development, training, performance management, employee engagement, and compensation analysis. Features Strategic CHRO agent using OpenAI O3 for complex HR decision-making Six specialized HR agents powered by GPT-4.1-mini for efficient execution Complete HR lifecycle coverage from hiring to retention Automated policy creation and compliance documentation Performance review and goal-setting systems Employee engagement and culture initiatives Compensation analysis and benchmarking Team Structure CHRO Agent**: Strategic HR oversight and task delegation (O3 model) Recruiter Agent**: Job descriptions, candidate screening, interview questions HR Policy Writer**: Employee handbooks, policies, compliance documentation Training & Development Specialist**: Onboarding programs, learning materials Performance Review Specialist**: Reviews, feedback templates, goal setting Employee Engagement Specialist**: Culture initiatives, team building, communications Compensation & Benefits Analyst**: Salary benchmarking, benefits packages How to Use Import the workflow into your n8n instance Configure OpenAI API credentials for all chat models Deploy the webhook for chat interactions Send HR requests via chat (e.g., "Create a complete onboarding program for software engineers") The CHRO will analyze and delegate to appropriate specialists Receive comprehensive HR deliverables Use Cases Complete Hiring Process**: Job postings → Screening → Interviews → Offers Policy Development**: Employee handbooks, compliance documentation Onboarding Programs**: 30-60-90 day plans with training materials Performance Management**: Review cycles, feedback systems, development plans Culture & Engagement**: Surveys, team building activities, recognition programs Compensation Strategy**: Market analysis, pay equity reviews, benefits design Requirements n8n instance with LangChain nodes OpenAI API access (O3 for CHRO, GPT-4.1-mini for specialists) Webhook capability for chat interactions Optional: Integration with HRIS systems Cost Optimization O3 model used only for strategic CHRO decisions GPT-4.1-mini provides 90% cost reduction for specialist tasks Parallel processing enables simultaneous agent execution Template library reduces redundant content generation Integration Options Connect to HRIS systems (Workday, BambooHR, etc.) Integrate with applicant tracking systems Link to performance management platforms Export to document management systems Contact & Resources Website**: nofluff.online YouTube**: @YaronBeen LinkedIn**: Yaron Been Tags #HRTech #PeopleOperations #TalentAcquisition #EmployeeExperience #HRAutomation #AIRecruitment #PerformanceManagement #CompensationBenefits #OnboardingAutomation #CultureTech #n8n #OpenAI #MultiAgentSystem #FutureOfWork #HRTransformation. An n8n automation workflow template by Yaron Been.

By Alexandra Spalato

YouTube Content Repurposing Automation Who's it for This workflow is for content creators, marketers, agencies, coaches, and businesses who want to maximize their YouTube content ROI by automatically generating multiple content assets from single videos. It's especially useful for professionals who want to: Repurpose YouTube videos into blogs, social posts, newsletters, and tutorials without manual effort Scale their content production across multiple channels and platforms Create consistent, high-quality content derivatives while saving time and resources Build automated content systems that generate multiple revenue streams Maintain active presence across social media, email, and blog platforms simultaneously What problem is this workflow solving Content creators face significant challenges when trying to maximize their video content: Time-intensive manual repurposing: Converting one YouTube video into multiple content formats traditionally requires hours of manual writing, editing, and formatting across different platforms. Inconsistent content quality: Manual repurposing often leads to varying quality levels and missed opportunities to optimize content for specific platforms. High costs for content services: Hiring ghostwriters or content agencies to repurpose videos can cost thousands of dollars monthly. Scaling bottlenecks: Manual processes prevent creators from efficiently scaling their content across multiple channels and formats. This workflow solves these problems by automatically extracting YouTube video transcripts, using AI to generate multiple high-quality content formats (tutorials, blog posts, social media content, newsletters), and organizing everything in Airtable for easy management and distribution. How it works Automated Video Processing Starts with a manual trigger and retrieves YouTube URLs from your Airtable configuration, processing only videos marked as "selected" while filtering out those marked for deletion. Intelligent Transcript Extraction Uses Scrape Creator API to extract video transcripts, automatically cleaning and formatting the text for optimal AI processing and content generation. Multi-Format Content Generation Leverages OpenRouter models, o you can easily test different AI models and choose the one that delivers the best results for your needs: Step-by-step tutorials with code snippets and technical details YouTube scripts with hooks, titles, and conclusions Blog posts optimized for lead generation Structured summaries with key takeaways LinkedIn posts with engagement triggers Newsletter content for email marketing Twitter/X posts for social media Smart Content Filtering Processes only the content types you've selected in Airtable, ensuring efficient resource usage and faster execution times. Automated Content Organization Matches and combines all generated content pieces by URL, then updates your Airtable with complete, ready-to-use content assets organized by type and source video. How to set up Required credentials OpenRouter API key** Airtable Personal Access Token** Scrape Creators API Key** - For YouTube transcript extraction and processing Airtable base setup Create an Airtable base with one main table: Videos Table: title** (Single line text): Video title for reference url** (URL): YouTube video URL to process Status** (Single select): Options: "selected", "delete", "processed" output** (Multiple select): Content types to generate summary tutorial blog-post linkedin newsletter tweeter youtube summary** (Long text): Generated video summary tutorial** (Long text): Generated step-by-step tutorial key_take_aways** (Long text): Extracted key insights blog_post** (Long text): Generated blog post content linkedin** (Long text): LinkedIn post content newsletter** (Long text): Email newsletter content tweeter** (Long text): Twitter/X post content youtube_titles** (Long text): YouTube video title suggestions youtube_hook** (Long text): Video opening hooks youtube_steps** (Long text): Video step breakdowns youtube_conclusion** (Long text): Video ending/CTAs API Configuration Scrape Creator Setup: Sign up for Scrape Creator API Obtain your API key from the dashboard Configure the HTTP Request node with your credentials Set the endpoint to: https://api.scrapecreators.com/v1/youtube/video/transcript OpenAI Setup: Create an OpenRouter account and generate an API key Workflow Configuration Import the workflow JSON into your n8n instance Update all credential references with your API keys Configure the Airtable nodes with your base and table IDs Test the workflow with a single video URL first Requirements n8n instance** (self-hosted or cloud) Active API subscriptions** for OpenRouter (or the LLM or your choice), Airtable, and Scrape Creator YouTube video URLs** - Must be publicly accessible videos with available transcripts Airtable account** - Free tier sufficient for most use cases How to customize the workflow Modify content generation prompts Edit the LLM Chain nodes to customize content style and format: Tutorial node**: Adjust technical depth and formatting preferences Blog post node**: Modify tone, length, and CTA strategies LinkedIn node**: Customize engagement hooks and professional tone Newsletter node**: Tailor subject lines and email marketing approach Adjust AI model selection Update the OpenRouter Chat Model to use different models Add new content formats Create additional LLM Chain nodes for new content types: Instagram captions TikTok scripts Podcast descriptions Course outlines. An n8n automation workflow template by Alexandra Spalato.

By Yaron Been

🧠 Overview This multi-agent n8n automation simulates a high-functioning marketing team. A strategic CMO agent receives your chat-based input, decides which specialist is best for the task, and delegates accordingly. Each specialist (copywriter, SEO expert, brand strategist, etc.) operates independently using fast, cost-effective GPT-4.1-mini models—resulting in parallel task execution and full-funnel marketing output with minimal human input. ⚙️ How It Works A chat message trigger listens for input (e.g. “Write a full email funnel for our SaaS launch”). The CMO Agent (powered by OpenAI O3) reads the message and determines intent, strategy, and needed outputs. It dynamically delegates tasks to the correct AI agent: Copywriter Agent Facebook Ads Specialist SEO Content Writer Email Marketer Social Media Manager Brand Voice Specialist Each agent uses a dedicated GPT-4.1-mini model to produce results instantly. Final content is returned to the user or passed along for integration with your CMS, ad platforms, or CRM. 🧰 Tools Used n8n** – Orchestrates the entire agent communication and routing logic OpenAI O3** – Advanced strategic reasoning (CMO Agent) OpenAI GPT-4.1-mini** – Fast and cost-efficient for specialist agents LangChain Nodes** – For multi-agent thinking and tool-based execution 🚀 Quick Start Import Workflow: Load the provided .json into your n8n instance Set Credentials: Add your OpenAI API key under “OpenAI Account” Deploy Webhook: Use the “When Chat Message Received” trigger Test It: Ask a question like: > “Generate a 7-day onboarding email sequence for a weight loss app” Watch the Agents Collaborate! 👩‍💼 Meet Your AI Marketing Team | Agent | Purpose | Model | Output | |-------|---------|-------|--------| | 🧠 CMO Agent | Strategy, delegation, and task routing | O3 | Central brain | | ✍️ Copywriter Agent | Website copy, CTAs, product descriptions | GPT-4.1-mini | Fast, human-like copy | | 📱 Facebook Ads Copywriter | Ad headlines, angles, A/B tests | GPT-4.1-mini | Platform-specific ad copy | | 🔍 SEO Writer | Blog posts, keyword-rich content | GPT-4.1-mini | Long-form content | | 📧 Email Specialist | Sequences, newsletters, welcome flows | GPT-4.1-mini | Funnel-ready emails | | 📲 Social Media Manager | Content calendars, posts, hashtags | GPT-4.1-mini | Cross-platform content | | 🎨 Brand Voice Specialist | Tone consistency, style guides | GPT-4.1-mini | On-brand text | 💡 Use Cases Product Launches:** Strategy → Landing Page → Emails → Social Posts Lead Nurture Funnels:** Segmented email campaigns with consistent tone Content Sprints:** Generate 30+ blog posts and socials in a day Ad Variations:** Create 20 ad angles in 30 seconds Brand Guidelines:** Enforce consistent messaging across departments 💸 Cost Optimization Use O3 sparingly—only for strategic tasks All specialist agents use GPT-4.1-mini for low-latency, high-efficiency generation Run agents in parallel to reduce wait times Add caching for repeat requests 🔧 Customization Tips Edit the tool prompts to match your brand’s style and niche Connect outputs to Google Sheets, Notion, Slack, or email tools Integrate with Zapier, Make.com, or your CRM for full automation 🔗 Connect With Me Website:** nofluff.online YouTube:** @YaronBeen LinkedIn:** Yaron Been 🏷️ Tags #n8n #OpenAI #MarketingAI #CMOagent #Automation #GPT4 #LangChain #NoCode #MarketingTeam #AIWorkflow #EmailMarketing #SEO #Copywriting #SocialMedia #DigitalMarketing #BrandVoice #AItools #MultiAgentSystem #ContentCreation #MarketingStrategy #ContentOps. An n8n automation workflow template by Yaron Been.

By Jan Oberhauser

Read data from Postgres Converting it to XLS Save it to disk. An n8n automation workflow template by Jan Oberhauser.

By plemeo

Who’s it for Growth marketers, community managers, and personal-brand builders who want to steadily grow their Twitter (X) network by following new, relevant accounts on autopilot—while respecting daily limits. How it works / What it does Schedule Trigger fires every hour at a specified minute. Select Cookie picks a rotating Twitter session-cookie based on time slices. AI Agent creates a realistic AI/BPA hashtag. Phantombuster Hashtag Agent scrapes recent tweets → extracts profile handles. Set Item builds a small CSV with one profile; Launch AF Agent instructs the Phantombuster Auto-follow agent to follow it. Rate-limit nodes cap follows to roughly 50-80 per day. How to set up Add credentials: Phantombuster API, SharePoint OAuth2, OpenAI API key. In SharePoint › “Phantombuster” folder create: • twitter_session_cookies.txt – one cookie per line. Adjust schedule or search parameters as needed. Activate the workflow; it will run hourly and follow 1 new profile each launch. Requirements n8n 1.33 + Phantombuster Growth plan (API access) OpenAI account Microsoft 365 SharePoint tenant How to customize Change niche: edit hashtag prompt in AI Agent. Follow more accounts: raise numberOfAddsPerLaunch and schedule frequency. Use Google Drive/Dropbox instead of SharePoint: swap the cookie download node. An n8n automation workflow template by plemeo.

By plemeo

Who’s it for Growth hackers, social-media managers, and brand builders who want to keep their Twitter (X) accounts active by automatically liking relevant posts on a set schedule—without manual scrolling. How it works / What it does Schedule Trigger runs every hour at a specified minute. Select Cookie chooses a rotating Twitter session-cookie (to stay under 1 000 likes/day). AI Agent generates a realistic AI/BPA-related hashtag. Phantombuster Hashtag Agent scrapes recent tweets for that hashtag → Get Posts. Get Random Post picks one tweet, checks it isn’t already liked (SharePoint CSV), and uploads a one-row twitter_posts_to_like.csv. Phantombuster Autolike Agent receives the CSV link and likes the tweet. The tweet URL is appended to twitter_posts_already_liked.csv to prevent duplicates. How to set up Create credentials: Phantombuster API key, SharePoint OAuth2, OpenAI API key. In SharePoint › “Phantombuster” folder add: • twitter_posts_already_liked.csv (header postUrl). • twitter_session_cookies.txt – one cookie per line. Adjust schedule if you need a different frequency. Activate the workflow—likes will start automatically. Requirements n8n 1.33+ Phantombuster Growth plan (API access) OpenAI account Microsoft 365 SharePoint tenant How to customize Change hashtag logic: edit the prompt in AI Agent. Increase daily likes: add more cookies or shorten Wait nodes. Swap SharePoint for Google Drive/Dropbox: replace the upload/download nodes. An n8n automation workflow template by plemeo.

By Rosh Ragel

Automatically Send Monthly Sales Reports from Square via Outlook What It Does This workflow automatically connects to the Square API and generates a monthly 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 monthly and pull the previous month’s sales into a CSV file, which is then sent to a manager/finance team for analysis. 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 Microsoft Outlook 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 on the 1st of every month at 8:00 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 previous calendar month 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 built-in Sales Summary report Create CSV File: A CSV file is created containing the relevant data Send Email: An email is sent using Microsoft Outlook to the chosen third party Example Use Cases Automatically send monthly Square sales data to management for forecasting and planning Automatically send data to an external third party, such as a landlord or agent, who is paid via commission Automatically send data to a bookkeeper for entry into QuickBooks How to Use Configure both HTTP Request nodes to use your Square API credential Set the workflow to Active so it runs automatically Enter the email address of the person you want to send the report to and update the message body If you want to remove the n8n attribution, you can do so in the last node Customization Options Add pagination to handle locations with more than 1,000 orders per month Adjust the date filters in the HTTP node to cover the full calendar month (e.g., use Luxon or JavaScript to calculate start_date and end_date) 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 Ilyass Kanissi

📋Instant Proposal Generator Automatically convert sales call transcripts into professional client proposals by extracting key details with AI, dynamically populating Google Slides templates, and tracking progress in Airtable, all in one seamless workflow. 🎯 What does this workflow do? This end-to-end automation creates client-ready proposals by: Taking call transcripts via chat interface The AI analyzes the transcript to extract key details like company name, goals, budget, and requirements, then structures this data as JSON for seamless workflow integration. Generating customized documents using Google Slides template with dynamic variables, Auto populating {Company_Name}, {Budget}, etc. from extracted data. Delivering finished proposals: Sharing final document with client, and Updating CRM status automatically. ⚙️ How it works User input: Paste call transcript in chat trigger node AI analysis: OpenAI node processes text to extract structured JSON, Identifies company name, goals, budget, requirements, etc. Document copy: it copies the file from Google Drive, and name it {company name} proposal. Variables replacement: Replaces all template variables ({Company_Name}, {Budget}, etc.) with extracted data from ChatGPT. Delivery & tracking: Shares finalized proposal with client via email, an Updates Airtable "Lead Status" to "Proposal Sent". 🔑 Required setup OpenAI API Key: Create a key from here Google Cloud Credentials: Setup here Required scopes: Google Slides edit + file creation Airtable Access Token: Create one from here. An n8n automation workflow template by Ilyass Kanissi.

By WhySoSerious

What it is This workflow listens for new tickets in HaloPSA via webhook, generates a professional AI-powered summary of the issue using Gemini (or another LLM), and posts it back into the ticket as a private note. It’s designed for MSPs using HaloPSA who want to reduce triage time and give engineers a clear head start on each support case. ⸻ ✨ Features • 🔔 Webhook trigger from HaloPSA on new ticket creation • 🚧 Optional team filter (skip Sales or other queues) • 📦 Extracts ticket subject, details, and ID • 🧠 Builds a structured AI prompt with MSP context (NinjaOne, M365, CIPP) • 🤖 Processes via Gemini or other LLM • 📑 Cleans & parses JSON output (summary, next step, troubleshooting) • 🧱 Generates a branded HTML private note (logo + styled sections) • 🌐 Posts the note back into HaloPSA via API ⸻ 🔧 Setup Webhook • Replace WEBHOOK_PATH and paste the generated Production URL into your HaloPSA webhook. Guard filter (optional) • Change teamName or teamId to skip tickets from specific queues. Branding • Replace YOUR_LOGO_URL and Your MSP Brand in the HTML note builder. HaloPSA API • In the HTTP node, replace YOUR_HALO_DOMAIN and add your Halo API token (Bearer auth). LLM credentials • Set your API key in the Gemini / OpenAI node credentials section. (Optional) Adjust the AI prompt with your own tools or processes. ⸻ ✅ Requirements • HaloPSA account with API enabled • Gemini / OpenAI (or other LLM) API key • SMTP (optional) if you want to extend with notifications ⸻ ⚡ Workflow overview `🔔 Webhook → 🚧 Guard → 📦 Extract Ticket → 🧠 Build AI Prompt → 🤖 AI Agent (Gemini) → 📑 Parse JSON → 🧱 Build HTML Note → 🌐 Post to HaloPSA`. An n8n automation workflow template by WhySoSerious.

By WhySoSerious

📬 Plex Recently Added → Responsive Email Newsletter (Tautulli Alternative) What it is This workflow automatically creates a weekly Plex newsletter that highlights recently added Movies & TV Shows. It’s designed to be mobile-friendly and Gmail/iOS Mail compatible, making it easy to share Plex updates with friends, family, or your community. How it works • ⏰ Runs on a weekly schedule (customizable). • 🎬 Fetches recently added Movies & TV Shows from Tautulli API. • 📰 Builds a responsive HTML newsletter that works in Gmail, iOS Mail, and most clients. • 📧 Sends one personalized email per recipient via SMTP. • 🗒️ Every node has a Sticky Note explaining setup and purpose. How to set up Replace the placeholders in the nodes with your own details: • YOUR_TAUTULLI_URL • YOUR_API_KEY • YOUR_PLEX_TOKEN • YOUR_PLEX_SERVER_ID Update the recipient list in Prepare Emails for Recipients. Add your SMTP credentials in Send Newsletter Emails. (Optional) Customize the HTML/CSS in Generate HTML Newsletter. Requirements • Plex Media Server with Tautulli installed. • SMTP account (Gmail, custom domain, etc.). Customization • Change the schedule to daily/weekly as needed. • Edit the HTML template for your own branding. • Extend with additional nodes (Discord, Slack, etc.). ⸻ ⚡ Workflow Overview: ``⏰ Schedule Trigger → 🎬 Fetch Movies → 📺 Fetch TV → 🔗 Merge → 📰 Build HTML → 📧 Prepare Recipients → 📤 Send → ✅ Finish ``. An n8n automation workflow template by WhySoSerious.

By Ilyass Kanissi

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 🤖 AI-Powered Twitter Content Generator Transform topic ideas into ready to post Twitter drafts (text + image) using fresh web data and AI agents 🎯 What does this workflow do? This end to end automation creates complete Twitter posts by: Taking your topic input (e.g., "Agentic AI") via chat interface Generating fresh, research-backed content using AI agents: First agent uses GPT-4.1-MINI + Tavily to bypass LLM knowledge limits with real-time web data Second agent creates optimized prompt for image generation Producing custom visuals through OpenAI's gpt-image-1 Delivering polished drafts (text + image) via Gmail for review ⚙️ How it works User input: You provide a topic through chat node Content research: Agent 1 (GPT-4.1-mini + Tavily) researches current web data Generates factually fresh tweet content Visual creation: Agent 2 optimizes prompt for image generation HTTP request node calls OpenAI's gpt-image-1 model to generate the image Convert to file node converst the base64 string to a file so we can send it as an attachment Delivery: Gmail node sends compiled draft with text body + image attachment 🔑 Required setup Have a verified organization: OpenAI Org Settings OpenAI API Key: Create a Key Here Tavily API Key: Get it Here Gmail credentials: Google Cloud Console. An n8n automation workflow template by Ilyass Kanissi.

By Nishant

Overview Tired of cookie-cutter “AI LinkedIn post generators”? This workflow goes beyond just text generation — it orchestrates the entire lifecycle of a LinkedIn post. From idea capture to deduplication, from GPT-powered drafting to automatic image generation and link storage, it creates ready-to-publish posts while keeping your content unique and audit-friendly. What does this workflow do? This workflow: Captures Ideas & Briefs – Inputs are logged in Google Sheets with audience, goals, and angles. Deduplicates Smartly – Avoids repeating hooks or ideas with fuzzy GPT-based dedupe + GSheet logs. Generates Posts – GPT (OpenAI) drafts sharp LinkedIn-ready posts based on your brief. Creates Images – Post hook + body is sent to an Image Gen model (DALL·E / SDXL) → PNG asset. Stores & Links – Final text + image uploaded to Google Drive with shareable links. Audit Trail – GSheets keeps full history: raw idea, draft, final post, assets, notes. Why is this useful? Most “AI post generators” just spit out text. This workflow builds a real publishing pipeline: 🔄 No duplicates → keeps posts fresh & original. 🖼 Images included → auto-generated visuals increase engagement on LinkedIn. 📊 Audit-ready → every post has a traceable log in Sheets. ⚡ Fast iteration → from half-baked thought → polished post in minutes. Tools used n8n (Orchestrator): Automates triggers, merges, retries, and Google connectors. OpenAI (LLM): Idea generation, drafting, fuzzy dedupe, and voice conformity. Google Sheets: Source of truth — stores ideas, dedupe logs, audit trail. Google Drive: Stores rendered images and shares links for publishing. Image Generation (DALL·E / SDXL): Creates header graphics from hook + body. Who is this for? 🧑‍💻 Product Managers / Founders who want to post consistently but don’t have time. 🎨 Creators who want to add unique visuals without hiring a designer. ⚙️ n8n Builders who want to see how AI + automation + storage can be stitched into one pipeline. Workflow Highlights ✅ Full content pipeline (ideas → images → final copy). ✅ GPT-based fuzzy dedupe to avoid repetition. ✅ Auto-generated images for higher engagement. ✅ Clean logs in Google Sheets for future reuse & audits. ✅ Ready-to-publish LinkedIn post in minutes. An n8n automation workflow template by Nishant.

By Allan Vaccarizi

AI-powered alt text generation from Google Sheets to WordPress media Who's it for WordPress site owners, content managers, and accessibility advocates who need to efficiently add alt text descriptions to multiple images for better SEO and web accessibility compliance. What it does This workflow automates the process of generating and updating alt text for WordPress media files using AI analysis. It reads image URLs from a Google Sheet, analyzes each image with Claude AI to generate accessibility-compliant descriptions, updates the sheet with the generated alt text, and automatically applies the descriptions to the corresponding WordPress media files. The workflow includes error handling to skip unsupported media formats and continue processing. How it works Input: Provide a Google Sheets URL containing image URLs and WordPress media IDs Authentication: Retrieves WordPress credentials from a separate sheet and generates Base64 authentication Processing: Loops through each image URL in the sheet AI Analysis: Claude AI analyzes each image and generates concise, accessible alt text (max 125 characters) Error Handling: Automatically skips unsupported media formats and continues with the next item Update Sheet: Writes the generated alt text back to the Google Sheet WordPress Update: Updates the WordPress media library with the new alt text via REST API Requirements Google Sheets with image URLs and WordPress media IDs WordPress site with Application Passwords enabled Claude AI (Anthropic) API credentials WordPress admin credentials stored in Google Sheets Export Media URLs WordPress plugin for generating the media list How to set up Step 1: Export your WordPress media URLs Install the "Export Media URLs" plugin on your WordPress site Go to the plugin settings and check both ID and URL columns for export (these are mandatory for the workflow) Export your media list to get the required data Step 2: Configure WordPress Application Passwords Go to WordPress Admin → Users → Your Profile Scroll down to "Application Passwords" section Enter application name (e.g., "n8n API") Click "Add New Application Password" Copy the generated password immediately (it won't be shown again) Step 3: Set up Google Sheets Duplicate this Google Sheets template to get the correct structure. The template includes two sheets: Sheet 1: "Export media" - Paste your exported media data with columns: ID (WordPress media ID) URL (image URL) Alt text (will be populated by the workflow) Sheet 2: "Infos client" - Add your WordPress credentials: Admin Name: Your WordPress username KEY: The application password you generated Domaine: Your site URL without https:// (format: "example.com") Step 4: Configure API credentials Add your Anthropic API credentials to the Claude node Connect your Google Sheets account to the Google Sheets nodes How to customize Language: The Claude prompt is in French - modify it in the "Analyze image" node for other languages Alt text length: Adjust the 125-character limit in the Claude prompt Batch processing: Change the batch size in the Split in Batches node Error handling: The workflow automatically handles unsupported formats, but you can modify the error handling logic Authentication: Customize for different WordPress authentication methods This workflow is perfect for managing accessibility compliance across large WordPress media libraries while maintaining consistent, AI-generated descriptions. It's built to be resilient and will continue processing even when encountering unsupported media formats. An n8n automation workflow template by Allan Vaccarizi.

By LEDGERS

🤖 AI Contact Creator for LEDGERS (Works with Any Trigger) ### Before using this template: #### 👉 Search for LEDGERS in the nodes list and install it from Community Nodes (required for this workflow to run).== 🔧 What This Workflow Does: This smart n8n template automatically creates contacts in LEDGERS using AI, triggered by any node (like Google Sheets, Webhook, Airtable, Forms, etc.). It’s designed for teams who maintain contact data across platforms and want to auto-parse raw data using AI and sync it to LEDGERS—without manual entry. ⚙️ Flow Overview: Trigger Node – Can be anything: Google Sheets, Webhook, API call, etc. Chat Model (Claude / GPT-4o) – Uses AI to generate structured contact data from raw inputs. Structured Output Parser – Parses AI response into clean JSON. Form Loop & Iteration – Loops through fields in the structured output. Create a Contact – Sends the data to LEDGERS via API. LEDGERS Loop & Iteration – Supports bulk contact creation if needed. Success/Failure Path – Sends email notifications via Gmail node depending on the outcome. 💡 Use Case: Automate contact creation from form submissions, CRM exports, sheet updates, webhook data, etc. Clean and structure messy data with AI before syncing to LEDGERS. Save manual hours and reduce errors in contact data entry. An n8n automation workflow template by LEDGERS.