Browse 12,955 Workflows

By Automate With Marc

📊 Dynamic Portfolio Advisor – Daily Stock Market Intelligence with Google Sheets Description: This advanced AI-powered n8n workflow automatically delivers a daily market intelligence briefing tailored to your stock holdings portfolio stored in Google Sheets. It uses real-time data from Perplexity AI, combines it with your portfolio, and generates personalized insights, risk alerts, and trade suggestions — all delivered via Telegram or any messaging app of your choice. For step-by-step build of workflows like this, check out: https://www.youtube.com/@Automatewithmarc ⚙️ How It Works: 🕒 Daily Trigger  Starts every day at a scheduled time (default: 10 AM) to fetch the most recent market data. 📈 Holdings Fetch  Reads your current portfolio dynamically from Google Sheets — no hardcoding required. 🧠 AI Analysis Agent  Combines: Market headlines Company-specific developments Macroeconomic updates  And analyzes how they might affect your holdings. 🔍 Perplexity Web Research Tool  Finds and summarizes the most relevant stock market news from the past 24 hours. 💬 Telegram Delivery  Sends a customized summary of: Market highlights Asset-specific impacts Opportunities and risks Actionable trade ideas (buy/sell/hold) 🛠️ Tools & Integrations: Google Sheets (live holdings feed) Perplexity AI (real-time market research) OpenAI GPT (financial summarization) Telegram (output, customizable) 💡 Use Cases: Portfolio-aware market intelligence Automated investor briefing assistant Risk alert + opportunity scanner Daily trade idea generator Finance bloggers or equity analysts streamlining prep work 📍Note: You can easily replace Telegram with Slack, Email, Notion, or any output tool supported by n8n. This template is perfect for active investors, financial advisors, or automation-savvy traders who want to turn AI and data into actionable daily signals. An n8n automation workflow template by Automate With Marc.

By Paul

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. AI-Powered Cold Email Sequence Workflow for n8n Unlock advanced cold email automation and boost your outbound results with this robust n8n workflow, engineered for scale, personalization, and flexibility. Harness AI-driven email content, dynamic lead handling, and intelligent scheduling—without writing code. What’s Inside Intelligent Multi-Step Email Outreach Automate 3-step cold email sequences for every prospect—all fully personalized and contextually adapted through AI research and copy generation. Each contact receives tailored, timely emails designed to maximize engagement and reply rates. Automated Personalization at Scale For every new lead, the workflow: Researches company and role context** using AI Identifies key pain points** and crafts custom hooks Builds multi-language, well-formatted HTML emails** with a consistent, brand-aligned tone This produces authentic, individualized communication—far more effective than generic mail merges. Advanced Scheduling & Delivery Logic Smart scheduling**: Sends distributed across optimal days/hours (configurable for your market) Throttled delivery**: Drip batching and dynamic waits to preserve deliverability Automated follow-ups**: Gentle, contextual nudges at precise intervals if there’s no reply Lead Management & Expansion Seamless database integration**: Email history, logic, and lead data fully synchronized with your backend (Supabase support included) Integrated lead generation**: Suite includes a companion workflow for sourcing, deduplicating, and enriching leads using Apollo, GPT-4, and AI—feeds directly into your campaign pipeline Built for Reliability and Scale Resilient against errors and duplicate sends Multi-sender rotation** for reputation management Easily customizable scheduling, content, languages, and batch size Tracks all critical data fields, like send history and reply status Use Cases B2B Sales Development** Automated Candidate Outreach (Recruitment)** Newsletter or Event Drip Campaigns** Startup Go-to-Market Sequences** Agency Lead Generation** Template Highlights AI-Powered Personalization**: Cold emails crafted by GPT-4 and prompt engineering Omnichannel Scheduling**: Dynamic batching, throttling, sender rotation Works Out-of-the-Box**: Connects to Mailgun, OpenAI, Supabase—simply insert credentials and leads Companion Lead Gen Workflow: Includes Apollo–AI–database pipeline for continuous sourcing that you can acces **for free in my profile. Flexible & Modular**: Adapt language, schedule, templates, or trigger events as your strategy evolves Best Practice Features No PII or sensitive data embedded—safe for corporate teams Modular zones for sequence creation, delivery, and tracking—clarity and easy expansion Clearly-named nodes and logical flows, following n8n community standards Robust error handling for high deliverability and low maintenance Experience end-to-end intelligent email automation—powered by n8n, trusted integrations, and state-of-the-art AI. Both the cold outreach workflow and the lead generation template are included. Discover, engage, and convert—at scale. An n8n automation workflow template by Paul.

By Anderson Adelino

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Build intelligent AI chatbot with RAG and Cohere Reranker Who is it for? This template is perfect for developers, businesses, and automation enthusiasts who want to create intelligent chatbots that can answer questions based on their own documents. Whether you're building customer support systems, internal knowledge bases, or educational assistants, this workflow provides a solid foundation for document-based AI conversations. How it works This workflow creates an intelligent AI assistant that combines RAG (Retrieval-Augmented Generation) with Cohere's reranking technology for more accurate responses: Chat Interface: Users interact with the AI through a chat interface Document Processing: PDFs from Google Drive are automatically extracted and converted into searchable vectors Smart Search: When users ask questions, the system searches through vectorized documents using semantic search Reranking: Cohere's reranker ensures the most relevant information is prioritized AI Response: OpenAI generates contextual answers based on the retrieved information Memory: Conversation history is maintained for context-aware interactions Setup steps Prerequisites n8n instance (self-hosted or cloud) OpenAI API key Supabase account with vector extension enabled Google Drive access Cohere API key 1. Configure Supabase Vector Store First, create a table in Supabase with vector support: CREATE TABLE cafeina ( id SERIAL PRIMARY KEY, content TEXT, metadata JSONB, embedding VECTOR(1536) ); -- Create a function for similarity search CREATE OR REPLACE FUNCTION match_cafeina( query_embedding VECTOR(1536), match_count INT DEFAULT 10 ) RETURNS TABLE( id INT, content TEXT, metadata JSONB, similarity FLOAT ) LANGUAGE plpgsql AS $$ BEGIN RETURN QUERY SELECT cafeina.id, cafeina.content, cafeina.metadata, 1 - (cafeina.embedding <=> query_embedding) AS similarity FROM cafeina ORDER BY cafeina.embedding <=> query_embedding LIMIT match_count; END; $$; 2. Set up credentials Add the following credentials in n8n: OpenAI**: Add your OpenAI API key Supabase**: Add your Supabase URL and service role key Google Drive**: Connect your Google account Cohere**: Add your Cohere API key 3. Configure the workflow In the "Download file" node, replace URL DO ARQUIVO with your Google Drive file URL Adjust the table name in both Supabase Vector Store nodes if needed Customize the agent's tool description in the "searchCafeina" node 4. Load your documents Execute the bottom workflow (starting with "When clicking 'Execute workflow'") This will download your PDF, extract text, and store it in Supabase You can repeat this process for multiple documents 5. Start chatting Once documents are loaded, activate the main workflow and start chatting with your AI assistant through the chat interface. How to customize Different document types**: Replace the Google Drive node with other sources (Dropbox, S3, local files) Multiple knowledge bases**: Create separate vector stores for different topics Custom prompts**: Modify the agent's system message for specific use cases Language models**: Switch between different OpenAI models or use other LLM providers Reranking settings**: Adjust the top-k parameter for more or fewer search results Memory window**: Configure the conversation memory buffer size Tips for best results Use high-quality, well-structured documents for better search accuracy Keep document chunks reasonably sized for optimal retrieval Regularly update your vector store with new information Monitor token usage to optimize costs Test different reranking thresholds for your use case Common use cases Customer Support**: Create bots that answer questions from product documentation HR Assistant**: Build assistants that help employees find information in company policies Educational Tutor**: Develop tutors that answer questions from course materials Research Assistant**: Create tools that help researchers find relevant information in papers Legal Helper**: Build assistants that search through legal documents and contracts. An n8n automation workflow template by Anderson Adelino.

By Moe Ahad

How it works User enters name of a city for which most current weather information will be gathered Custom Python code processes the weather data and generates a custom email about the weather AI agent further customizes the email and add a related joke about the weather Recipient gets the custom email for the city Set up instructions Enter city to get the weather data Add OpenWeather API and replace <your_API_key> with your actual API key Add your OpenAI API in OpenAI Chat Model Node Add your Gmail credentials and specify a recipient for the custom email. An n8n automation workflow template by Moe Ahad.

By Anderson Adelino

Voice Assistant Interface with n8n and OpenAI This workflow creates a voice-activated AI assistant interface that runs directly in your browser. Users can click on a glowing orb to speak with the AI, which responds with voice using OpenAI's text-to-speech capabilities. Who is it for? This template is perfect for: Developers looking to add voice interfaces to their applications Customer service teams wanting to create voice-enabled support systems Content creators building interactive voice experiences Anyone interested in creating their own "Alexa-like" assistant How it works The workflow consists of two main parts: Frontend Interface: A beautiful animated orb that users click to activate voice recording Backend Processing: Receives the audio transcription, processes it through an AI agent with memory, and returns voice responses The system uses: Web Speech API for voice recognition (browser-based) OpenAI GPT-4o-mini for intelligent responses OpenAI Text-to-Speech for voice synthesis Session memory to maintain conversation context Setup requirements n8n instance (self-hosted or cloud) OpenAI API key with access to: GPT-4o-mini model Text-to-Speech API Modern web browser with Web Speech API support (Chrome, Edge, Safari) How to set up Import the workflow into your n8n instance Add your OpenAI credentials to both OpenAI nodes Copy the webhook URL from the "Audio Processing Endpoint" node Edit the "Voice Assistant UI" node and replace YOUR_WEBHOOK_URL_HERE with your webhook URL Access the "Voice Interface Endpoint" webhook URL in your browser Click the orb and start talking! How to customize the workflow Change the AI personality**: Edit the system message in the "Process User Query" node Modify the visual style**: Customize the CSS in the "Voice Assistant UI" node Add more capabilities**: Connect additional tools to the AI Agent Change the voice**: Select a different voice in the "Generate Voice Response" node Adjust memory**: Modify the context window length in the "Conversation Memory" node Demo Watch the template in action: https://youtu.be/0bMdJcRMnZY. An n8n automation workflow template by Anderson Adelino.

By Gegenfeld

AI Image Generator Workflow This workflow lets you automatically generate AI images with the APImage API 🡥, download the generated image, and upload it to any serivce you want (e.g., Google Drive, Notion, Social Media, etc.). 🧩 Nodes Overview 1. Generate Image (Trigger) This node contains the following fields: Image Prompt*: *(text input) Dimensions**: Square, Landscape, Portrait AI Model**: Basic, Premium This acts as the entry point to your workflow. It collects input and sends it to the APImage API node. Note: You can swap this node with any other node that lets you define the parameters shown above._** 2. APImage API (HTTP Request) This node sends a POST request to: https://apimage.org/api/ai-image-generate The request body is dynamically filled with values from the first node: { "prompt": "{{ $json['Describe the image you want'] }}", "dimensions": "{{ $json['Dimensions'] }}", "model": "{{ $json['AI Model'] }}" } ✅ Make sure to set your API Key in the Authorization header like this: Bearer YOUR_API_KEY 🔐 You can find your API Key in your APImage Dashboard 🡥 3. Download Image (HTTP Request) Once the image is generated, this node downloads the image file using the URL returned by the API: {{ $json.images[0] }} The image is stored in the output field: generated_image 4. Upload to Google Drive This node takes the image from the generated_image field and uploads it to your connected Google Drive. 📁 You can configure a different target folder or replace this node with: Dropbox WordPress Notion Shopify Any other destination Make sure to pass the correct filename and file field, as defined in the "Download Image" node. Set up Google Drive credentials 🡥 ✨ How To Get Started Double-click the APImage API node. Replace YOUR_API_KEY with your actual key (keep Bearer prefix). Open the Generate Image node and test the form. 🔗 Open the Dashboard 🡥 🔧 How to Customize Replace the Form Trigger with another node if you're collecting data elsewhere (e.g., via Airtable, Notion, Webhook, Database, etc.) Modify the Upload node if you'd like to send the image to other tools like Slack, Notion, Email, or an S3 bucket. 📚 API Docs & Resources APImage API Docs 🡥 n8n Documentation 🡥 🖇️ Node Connections Generate Image → APImage API → Download Image → Upload to Google Drive ✅ This template is ideal for: Content creators automating media generation SaaS integrations for AI tools Text-to-image pipelines. An n8n automation workflow template by Gegenfeld.

By Blue Code

It allows you to automate candidate retrieval and onboarding in your HR processes. How it works It monitors a Gmail address for new emails with a PDF attachment It expects the PDF to be a candidate’s CV, extracts the text using OCR, and then structures the data using ChatGPT Once the data is processed, it connects to Notion and adds (or updates) an entry in the specified database How to use Configure your Gmail account and provide your ChatGPT API key Provide an API key for the OCR service in a variable named OCR_SPACE_API_KEY Connect your Notion account Once everything is configured, the workflow will monitor your inbox for new emails. Just send an email with a PDF attachment to the configured address Requirements In addition to Gmail, ChatGPT, and Notion, the system uses a third-party OCR API (OCR SPACE). You’ll need to create an account and obtain an API key You must map the fields returned by ChatGPT to the Notion database, or use the same field names we are using Customising It should be easy to replace Notion with PostgreSQL or another database if needed. An n8n automation workflow template by Blue Code.

By Gerald Denor

Description This AI-powered n8n workflow helps users generate or explain complex Excel/Google Sheets/R and Math formulas with a simple text prompt. Whether you're a beginner trying to understand VLOOKUP, or an advanced user automating formula creation, this tool handles it with intelligent, clean, and easy-to-read responses. The workflow acts as your personal formula assistant, powered by AI through OpenRouter (LangChain integration), and responds instantly via webhook when a user asks a question. Use cases are many 🧑‍🎓 Students & learners using spreadsheets for assignments. 🧑‍💼 Finance, sales, HR, and marketing pros who regularly create or audit complex formulas. 💼 Consultants & freelancers offering spreadsheet automation services. 🛠️ No-code builders embedding this into their own AI assistants. 🌱 Micro-SaaS founders building AI bots or chatbot features around Excel/Sheets/R. 🧪 Educators wanting to build interactive formula explainers for courses. How I used it to build a microSaaS Check it out here: AI Formula Bot I connected this n8n workflow to a Fillout form on my micro-site and added Stripe + myCred credits on WordPress. Users submit formula-related queries, and the bot responds in seconds. It’s monetized with credit-based limits, a free tier, and upsells for pro plans. This setup allowed me to launch a niche AI tool in days, without building a full backend. It’s scalable, automatable, and integrates with email, WhatsApp, or even voice AI for escalations. This workflow was the core engine behind it all. Good to know You can deploy this as a microSaaS with a front-end UI (like Fillout, Tally, or custom form) connected to this webhook. It’s model-agnostic: swap in your preferred OpenRouter-compatible model. Responses are formatted for readability — with clean breakdowns and examples. The system intelligently detects whether the user wants to generate or explain a formula using NLP logic inside the workflow. Designed with modular nodes for easy customization and expansion. How it works User input hits the Webhook via POST (e.g., from a form). A logic node classifies the intent: generate or explain. Depending on intent, it routes the query to one of two AI agent nodes with tailored system prompts. The AI returns a natural language explanation or a code block formula. A custom Code node sanitizes the output. The formatted result is sent back via webhook response. How to use Import the workflow JSON into n8n. Set up your OpenRouter credentials (create in Credentials tab). Deploy the webhook URL in a frontend form (e.g., Fillout, Webflow form, etc.). Prompt the bot by asking: “Explain how =IF(A1>100,"High","Low") works.” “Write a formula to calculate compound interest.” Receive an AI response with either: ✅ A generated formula ✅ An explanation with bullet points and examples Requirements 🧠 n8n (Self-hosted or Cloud) 🔐 OpenRouter API key (Free or Paid Tier) 🌐 A front-end form tool (optional but recommended: Fillout, Tally, or any frontend that can POST) Customizing this workflow Swap the AI model to your preferred one on OpenRouter (e.g., Mixtral, Claude, GPT-3.5). Edit system prompts inside the agent nodes to control tone or response style. Extend logic detection to classify more intents like "optimize" or "debug" formulas. Chain outputs into Google Sheets for logging or CRM tracking. Add logging and lead capture for SaaS-style metrics. Use AI content moderation before responses if deploying for public use. Other use cases Build an AI spreadsheet tutor bot for your online course. Offer Formula-as-a-Service for agencies or clients. Integrate with Slack or WhatsApp via n8n for real-time formula help. Add to internal knowledge bots for teams in operations, finance, or HR. An n8n automation workflow template by Gerald Denor.

By vinci-king-01

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. News Article Scraping and Analysis with AI and Google Sheets Integration 🎯 Target Audience News aggregators and content curators Media monitoring professionals Market researchers tracking industry news PR professionals monitoring brand mentions Journalists and content creators Business analysts tracking competitor news Academic researchers collecting news data 🚀 Problem Statement Manual news monitoring is time-consuming and often misses important articles. This template solves the challenge of automatically collecting, structuring, and storing news articles from any website for comprehensive analysis and tracking. 🔧 How it Works This workflow automatically scrapes news articles from websites using AI-powered extraction and stores them in Google Sheets for analysis and tracking. Key Components Scheduled Trigger**: Runs automatically at specified intervals to collect fresh content AI-Powered Scraping**: Uses ScrapeGraphAI to intelligently extract article titles, URLs, and categories from any news website Data Processing**: Formats extracted data for optimal spreadsheet compatibility Automated Storage**: Saves all articles to Google Sheets with metadata for easy filtering and analysis 📊 Google Sheets Column Specifications The template creates the following columns in your Google Sheets: | Column | Data Type | Description | Example | |--------|-----------|-------------|---------| | title | String | Article headline and title | "'My friend died right in front of me' - Student describes moment air force jet crashed into school" | | url | URL | Direct link to the article | "https://www.bbc.com/news/articles/cglzw8y5wy5o" | | category | String | Article category or section | "Asia" | 🛠️ Setup Instructions Estimated setup time: 10-15 minutes Prerequisites n8n instance with community nodes enabled ScrapeGraphAI API account and credentials Google Sheets account with API access Step-by-Step Configuration 1. Install Community Nodes Install ScrapeGraphAI community node 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 Google Sheets Connection Add Google Sheets OAuth2 credentials Grant necessary permissions for spreadsheet access Select or create a target spreadsheet for data storage Configure the sheet name (default: "Sheet1") 4. Customize News Source Parameters Update the websiteUrl parameter in the ScrapeGraphAI node Modify the target news website URL as needed Adjust the user prompt to extract additional fields if required Test with a small website first before scaling to larger news sites 5. Configure Schedule Trigger Set your preferred execution frequency (daily, hourly, etc.) Choose appropriate time zones for your business hours Consider the news website's update frequency when setting intervals 6. Test and Validate Run the workflow manually to verify all connections Check Google Sheets for proper data formatting Validate that all required fields are being captured 🔄 Workflow Customization Options Modify News Sources Change the website URL to target different news sources Add multiple news websites for comprehensive coverage Implement filters for specific topics or categories Extend Data Collection Modify the user prompt to extract additional fields (author, date, summary) Add sentiment analysis for article content Integrate with other data sources for comprehensive analysis Output Customization Change Google Sheets operation from "append" to "upsert" for deduplication Add data validation and cleaning steps Implement error handling and retry logic 📈 Use Cases Media Monitoring**: Track mentions of your brand, competitors, or industry keywords Content Curation**: Automatically collect articles for newsletters or content aggregation Market Research**: Monitor industry trends and competitor activities News Aggregation**: Build custom news feeds for specific topics or sources Academic Research**: Collect news data for research projects and analysis Crisis Management**: Monitor breaking news and emerging stories �� Important Notes Respect the target website's terms of service and robots.txt Consider implementing delays between requests for large datasets Regularly review and update your scraping parameters Monitor API usage to manage costs effectively Keep your credentials secure and rotate them regularly 🔧 Troubleshooting Common Issues: ScrapeGraphAI connection errors: Verify API key and account status Google Sheets permission errors: Check OAuth2 scope and permissions Data formatting issues: Review the Code node's JavaScript logic Rate limiting: Adjust schedule frequency and implement delays Pro Tips: Keep detailed configuration notes in the sticky notes within the workflow Test with a small website first before scaling to larger news sites Consider adding filters in the Code node to exclude certain article types or categories Monitor execution logs for any issues and adjust parameters accordingly Support Resources: ScrapeGraphAI documentation and API reference n8n community forums for workflow assistance Google Sheets API documentation for advanced configurations. An n8n automation workflow template by vinci-king-01.

By vinci-king-01

Amazon Keyboard Product Scraper with AI and Google Sheets Integration 🎯 Target Audience E-commerce analysts and researchers Product managers tracking competitor keyboards Data analysts monitoring Amazon keyboard market trends Business owners conducting market research Developers building product comparison tools 🚀 Problem Statement Manual monitoring of Amazon keyboard products is time-consuming and error-prone. This template solves the challenge of automatically collecting, structuring, and storing keyboard product data for analysis, enabling data-driven decision making in the competitive keyboard market. 🔧 How it Works This workflow automatically scrapes Amazon keyboard products using AI-powered web scraping and stores them in Google Sheets for comprehensive analysis and tracking. Key Components Scheduled Trigger - Runs the workflow at specified intervals to keep data fresh and up-to-date AI-Powered Scraping - Uses ScrapeGraphAI to intelligently extract product information from Amazon search results with natural language processing Data Processing - Transforms and structures the scraped data for optimal spreadsheet compatibility Google Sheets Integration - Automatically saves product data to your spreadsheet with proper column mapping 📊 Google Sheets Column Specifications The template creates the following columns in your Google Sheets: | Column | Data Type | Description | Example | |--------|-----------|-------------|---------| | title | String | Product name and model | "Logitech MX Keys Advanced Wireless Illuminated Keyboard" | | url | URL | Direct link to Amazon product page | "https://www.amazon.com/dp/B07S92QBCX" | | category | String | Product category classification | "Electronics" | 🛠️ Setup Instructions Estimated setup time: 10-15 minutes Prerequisites n8n instance with community nodes enabled ScrapeGraphAI API account and credentials Google Sheets account with API access Step-by-Step Configuration 1. Install Community Nodes Install ScrapeGraphAI community node 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 Google Sheets Connection Add Google Sheets OAuth2 credentials Grant necessary permissions for spreadsheet access Select or create a target spreadsheet for data storage Configure the sheet name (default: "Sheet1") 4. Customize Amazon Search Parameters Update the websiteUrl parameter in the ScrapeGraphAI node Modify search terms, filters, or categories as needed Adjust the user prompt to extract additional fields if required 5. Configure Schedule Trigger Set your preferred execution frequency (daily, weekly, etc.) Choose appropriate time zones for your business hours Consider Amazon's rate limits when setting frequency 6. Test and Validate Run the workflow manually to verify all connections Check Google Sheets for proper data formatting Validate that all required fields are being captured 🔄 Workflow Customization Options Modify Search Criteria Change the Amazon URL to target specific keyboard categories Add price filters, brand filters, or rating requirements Update search terms for different product types Extend Data Collection Modify the user prompt to extract additional fields (price, rating, reviews) Add data processing nodes for advanced analytics Integrate with other data sources for comprehensive market analysis Output Customization Change Google Sheets operation from "append" to "upsert" for deduplication Add data validation and cleaning steps Implement error handling and retry logic 📈 Use Cases Competitive Analysis**: Track competitor keyboard pricing and features Market Research**: Monitor trending keyboard products and categories Inventory Management**: Keep track of available keyboard options Price Monitoring**: Track price changes over time Product Development**: Research market gaps and opportunities 🚨 Important Notes Respect Amazon's terms of service and rate limits Consider implementing delays between requests for large datasets Regularly review and update your scraping parameters Monitor API usage to manage costs effectively Keep your credentials secure and rotate them regularly 🔧 Troubleshooting Common Issues: ScrapeGraphAI connection errors: Verify API key and account status Google Sheets permission errors: Check OAuth2 scope and permissions Data formatting issues: Review the Code node's JavaScript logic Rate limiting: Adjust schedule frequency and implement delays Support Resources: ScrapeGraphAI documentation and API reference n8n community forums for workflow assistance Google Sheets API documentation for advanced configurations. An n8n automation workflow template by vinci-king-01.

By Kees Bosch - Browserflow

Auto find & invite LinkedIn Leads This n8n template automates LinkedIn lead generation by scraping profiles, filtering out existing connections, and sending connection requests — all in a controlled, looped workflow. Ideal for outreach campaigns, recruitment, or lead gen efforts. ⚠️ Disclaimer – Community Node Notice This template uses a verified community node available inside the n8n cloud environment. To use it, go to "Nodes" → search for: Browserflow for Linkedin …and click Install. It’s officially verified and accessible directly from n8n cloud. In case you wish to run this template locally, you need to go to the settings, click community nodes and search for n8n-nodes-browserflow. Then after installing you can start using the actions in this node. 🛠️ How to Use Trigger: Manual Start Initiates the workflow manually via the “Test workflow” button, giving you full control. Scrape LinkedIn Profiles Uses the Browserflow automation to extract profile links from a LinkedIn search or keyword query. Split Out Results Converts the list of profiles into individual items for single-profile processing. Loop Through Each Profile Ensures each LinkedIn profile is handled one at a time, avoiding simultaneous actions. Check Existing Connection Verifies if you’re already connected with the lead on LinkedIn. Conditional Logic ✅ Already Connected → Skip to next profile ❌ Not Connected → Continue to next step Send Connection Invite Sends a LinkedIn connection request, optionally with a personalized message. 📦 Requirements n8n (cloud or self-hosted) Installed community node: Browserflow for Linkedin LinkedIn account Valid Browserflow acount (you can set up a free 7-day trial at https://browserflow.io) ⚙️ Setup Instructions Install the Browserflow Community Node Search “Browserflow for Linkedin” > Install. Get your API key Get your API key at https://browserflow.io Setup your Browserflow account After registering, setup your Browserflow and connect with Linkedin using the wizard at https://browserflow.io Connect with Browserflow by making a credential Click on the Browserflow actions to setup a connection with Browserflow by adding your API key to a credential. 🧩 Customization Tips Targeting: Adjust the Browserflow actions to scrape specific roles, industries, or locations. Messaging: You can add a message to the connection invite but remind that LinkedIn limits the amount of messages that can be send each month. Use variables in the message for personalization (e.g., {firstName}). Trigger: Replace manual trigger with a cron node for scheduled outreach. Integration: Combine with CRM tools (e.g., HubSpot, Notion, Airtable) for syncing leads or integrate with AI Agents. An n8n automation workflow template by Kees Bosch - Browserflow.

By Daniel Shashko

This workflow automates the process of monitoring multiple RSS feeds, intelligently identifying new articles, maintaining a record of processed content, and delivering timely notifications to a designated Slack channel. It leverages AI to ensure only truly new and relevant articles are dispatched, preventing duplicate alerts and information overload. 🚀 Main Use Cases Automated News Aggregation:** Continuously monitor industry news, competitor updates, or specific topics from various RSS feeds. 📈 Content Curation:** Filter and deliver only new, unprocessed articles to a team or personal Slack channel. 🎯 Duplicate Prevention:** Maintain a persistent record of seen articles to avoid redundant notifications. 🛡️ Enhanced Information Delivery:** Provide a streamlined and intelligent way to stay updated without manual checking. 📧 How it works The workflow operates in distinct, interconnected phases to ensure efficient and intelligent article delivery: 1. RSS Feed Data Acquisition 📥 Initiation:** The workflow is manually triggered to begin the process. 🖱️ RSS Link Retrieval:** It connects to a Baserow database to fetch a list of configured RSS feed URLs. 🔗 Individual Feed Processing:** Each RSS feed URL is then processed independently. 🔄 Content Fetching & Parsing:** An HTTP Request node downloads the raw XML content of each RSS feed, which is then parsed into a structured JSON format for easy manipulation. 📄➡️🌳 2. Historical Data Management 📚 Seen Articles Retrieval:** Concurrently, the workflow queries another Baserow table to retrieve a comprehensive list of article GUIDs or links that have been previously processed and notified. This forms the basis for duplicate detection. 🔍 3. Intelligent Article Filtering with AI 🧠 Data Structuring for AI:** A Code node prepares the newly fetched articles and the list of already-seen articles into a specific JSON structure required by the AI Agent. 🏗️ AI-Powered Filtering:** An AI Agent, powered by an OpenAI Chat Model and supported by a Simple Memory component, receives this structured data. It is precisely prompted to compare the new articles against the historical "seen" list and return only those articles that are genuinely new and unprocessed. 🤖 Output Validation:** A Structured Output Parser ensures that the AI Agent's response adheres to a predefined JSON schema, guaranteeing data integrity for subsequent steps. ✅ JSON Cleaning:** A final Code node takes the AI's raw JSON string output, parses it, and formats it into individual n8n items, ready for notification and storage. 🧹 4. Notification & Record Keeping 🔔 Persistent Record:** For each newly identified article, its link is saved to the Baserow "seen products" table, marking it as processed and preventing future duplicate notifications. 💾 Slack Notification:** The details of the new article (title, content, link) are then formatted and sent as a rich message to a specified Slack channel, providing real-time updates. 💬 Summary Flow: Manual Trigger → RSS Link Retrieval (Baserow) → HTTP Request → XML Parsing | Seen Articles Retrieval (Baserow) → Data Structuring (Code) → AI-Powered Filtering (AI Agent, OpenAI, Memory, Parser) → JSON Cleaning (Code) → Save Seen Articles (Baserow) → Slack Notification 🎉 Benefits: Fully Automated:** Eliminates manual checking of RSS feeds and Slack notifications. ⏱️ Intelligent Filtering:** Leverages AI to accurately identify and deliver only new content, avoiding duplicates. 💡 Centralized Data Management:** Utilizes Baserow for robust storage of RSS feed configurations and processed article history. 🗄️ Real-time Alerts:** Delivers timely updates directly to your team or personal Slack channel. ⚡ Scalable & Customizable:** Easily adaptable to monitor various RSS feeds and integrate with different Baserow tables and Slack channels. ⚙️ Setup Requirements: Baserow API Key:** Required for accessing and updating your Baserow databases. 🔑 OpenAI API Key:** Necessary for the AI Agent to function. 🤖 Slack Credentials:** Either a Slack OAuth token (recommended for full features) or a Webhook URL for sending messages. 🗣️ Baserow Table Configuration:** A table with an rssLink column to store your RSS feed URLs. A table with a Nom column to store the links of processed articles. For any questions or further assistance, feel free to connect with me on LinkedIn: https://www.linkedin.com/in/daniel-shashko/. An n8n automation workflow template by Daniel Shashko.

By M Sayed

The Problem 😫 Tired of manually logging every coffee and cab ride? Stop wrestling with spreadsheets! This template automates your expense tracking so you can manage your finances effortlessly. It's perfect for freelancers, small business owners, and anyone who wants a simple, chat-based way to track spending. How It Works ✨ Just send a message to your personal Telegram bot like "5 usd for coffee with my card" and this workflow will automatically: 📲 Get your message from Telegram. 🤖 Use AI to understand the amount, category, currency, and payment method. 💱 Convert currencies automatically using live exchange rates. ✍️ Log everything neatly into a new row in your Google Sheet. 🛠️ Quick Setup Guide Google Sheets 📝 Create a new Google Sheet. Make sure your first row has these exact column names: date, amount, category, description, user_id, payment_method, currency, exchange_rate, amount_converted Copy the Sheet ID from the browser's URL bar. Telegram Bot 🤖 Chat with @BotFather on Telegram, use the /newbot command, and get your API Token. Chat with @userinfobot to get your personal Chat ID. n8n Workflow 🔗 Add your credentials for Google Sheets, Telegram, and your AI model. Paste your Chat ID into the Telegram Trigger node. Paste your Sheet ID into the Append row in sheet node. Activate the workflow and start tracking! ✅. An n8n automation workflow template by M Sayed.

By Roshan Ramani

🛒 Smart Telegram Shopping Assistant with AI Product Recommendations Workflow Overview Target User Role: E-commerce Business Owners, Affiliate Marketers, Customer Support Teams Problem Solved: Businesses need an automated way to help customers find products on Telegram without manual intervention, while providing intelligent recommendations that increase conversion rates. Opportunity Created: Transform any Telegram channel into a smart shopping assistant that can handle both product queries and customer conversations automatically. What This Workflow Does This workflow creates an intelligent Telegram bot that: 🤖 Automatically detects** whether users are asking about products or just chatting 🛒 Scrapes Amazon** in real-time to find the best matching products 🎯 Uses AI to analyze and rank** products based on price, ratings, and user needs 📱 Delivers perfectly formatted** recommendations optimized for Telegram 💬 Handles casual conversations** professionally when users aren't shopping Real-World Use Cases E-commerce Support**: Reduce customer service workload by 70% Affiliate Marketing**: Automatically recommend products with tracking links Telegram Communities**: Add shopping capabilities to existing channels Product Discovery**: Help customers find products they didn't know existed Key Features & Benefits 🧠 Intelligent Intent Detection Uses Google Gemini AI to understand user messages Automatically routes to product search or conversation mode Handles multiple languages and casual typing styles 🛒 Real-Time Product Data Integrates with Apify's Amazon scraper for live data Fetches prices, ratings, reviews, and product details Processes up to 10 products per search instantly 🎯 AI-Powered Recommendations Analyzes multiple products simultaneously Ranks by relevance, value, and user satisfaction Provides top 5 personalized recommendations with reasoning 📱 Telegram-Optimized Output Perfect formatting with emojis and markdown Respects character limits for mobile viewing Includes direct purchase links for easy buying Setup Requirements Required Credentials Telegram Bot Token - Free from @BotFather Google Gemini API Key - Free tier available at AI Studio Apify API Token - Free tier includes 100 requests/month Required n8n Nodes @n8n/n8n-nodes-langchain (for AI functionality) Built-in Telegram, HTTP Request, and Code nodes Quick Setup Guide Step 1: Telegram Bot Creation Message @BotFather on Telegram Create new bot with /newbot command Copy the bot token to your credentials Step 2: AI Configuration Sign up for Google AI Studio Generate API key for Gemini Add credentials to all three AI model nodes Step 3: Product Scraping Setup Register for free Apify account Get API token from dashboard Add token to "Amazon Product Scraper" node Step 4: Activation Import workflow JSON Add your credentials Activate the Telegram Trigger Test with a product query! Workflow Architecture 📱 Message Entry Point Telegram Trigger receives all messages 🧹 Query Preprocessing Cleans and normalizes user input for better search results 🤖 AI Intent Classification Determines if message is product-related or conversational 🔀 Smart Routing Directs to appropriate workflow path based on intent 💬 Conversation Path Handles greetings, questions, and general support 🛒 Product Search Path Scrapes Amazon → Processes data → AI analysis → Recommendations 📤 Optimized Delivery Formats and sends responses back to Telegram Customization Opportunities Easy Modifications Multiple Marketplaces**: Add eBay, Flipkart, or local stores Product Categories**: Specialize for electronics, fashion, etc. Language Support**: Translate for different markets Branding**: Customize responses with your brand voice Advanced Extensions Price Monitoring**: Set up alerts for price drops User Preferences**: Remember customer preferences Analytics Dashboard**: Track popular products and queries Affiliate Integration**: Add commission tracking links Success Metrics & ROI Performance Benchmarks Response Time**: 3-5 seconds for product queries Accuracy**: 90%+ relevant product matches User Satisfaction**: 85%+ positive feedback in testing Business Impact Reduced Support Costs**: Automate 70% of product inquiries Increased Conversions**: Personalized recommendations boost sales 24/7 Availability**: Never miss a customer inquiry Scalability**: Handle unlimited concurrent users Workflow Complexity Intermediate Level - Requires API setup but includes detailed instructions. Perfect for users with basic n8n experience who want to create something powerful. An n8n automation workflow template by Roshan Ramani.

By clearcue.ai

Who’s it for This workflow is for marketers, founders, and content strategists who want to identify business opportunities by analyzing Reddit discussions. It’s ideal for B2B, SaaS, and tech professionals looking for fresh LinkedIn post ideas or trend insights. How it works / What it does This workflow automatically: Fetches Reddit posts & comments based on a selected subreddit and keyword. Extracts pain points & insights using OpenAI (ChatGPT) to identify key frustrations and trends. Generates LinkedIn post ideas with headlines, hooks, and CTAs tailored for professional audiences. Saves all results into Google Sheets for easy tracking, editing, and sharing. It uses AI to turn unstructured Reddit conversations into actionable content marketing opportunities. How to set up Clone this workflow in your n8n instance. Configure credentials: Reddit OAuth2 (for fetching posts & comments) OpenAI API key (no hardcoding—use credentials in n8n) Google Sheets OAuth2 (for output) Run the workflow or trigger it using the built-in Form Trigger (provide subreddit & keyword). Check the generated Google Sheet for analyzed insights and post suggestions. Requirements n8n (self-hosted or cloud) Reddit account with API credentials OpenAI API key (GPT-4o recommended) Google Sheets account How to customize the workflow Change the AI prompt to adjust tone or depth of insights. Add filtering logic to target posts with higher engagement. Modify the Google Sheets output schema to include custom fields. Extend it with Slack/Email notifications to instantly share top insights. An n8n automation workflow template by clearcue.ai.

By Simone Smerilli

This workflow is especially suitable for founders and operators offering services to their clients and regularly scheduling sales or project update meetings. How it works When a booking is created, rescheduled, or canceled in cal.com, this workflow syncs the meeting and contact data into Notion. When a new booking is scheduled: Creates a meeting in the dedicated Notion database. Here we can customize all the information to include on the meeting page (e.g., mapping the answers to custom questions). Finds the Contact(s) in the dedicated Notion database (based on the email). If the Contact(s) exists, it links the contact(s) to the newly created meeting. If the Contact(s) doesn’t exist, it creates the contact(s) and links them to the newly created meeting. When a booking is rescheduled: The automation finds the event in Notion (based on the “cal id” property) It updates the event date and time in Notion When a booking is cancelled: The automation deletes the event in Notion (i.e., it archives the page, which remains available in the Trash for 30 days) Requirements A Cal account and API key. A Notion account and connection with access to all the databases involved (Meetings, Contacts). Find all your connections, manage their access, or create a new connection on your Notion Integrations page. A Meetings and Contacts database in Notion, both accessible by the Integration (see step 2 above). The database names don't matter. You will input your database IDs in the workflow. Find a Notion database ID in the URL between the slash characters. Notion database column specifications In the Meetings database, these are required properties: Event time (date) cal id (text) Contacts (relation) Name In the Contacts database, these are required properties: Name Email Meetings (relation) Read the essay and watch the video for a detailed walkthrough. An n8n automation workflow template by Simone Smerilli.

By Basil Irfan

Streamline restaurant reservations on WhatsApp Overview This n8n template automates table bookings via WhatsApp, letting users request, confirm, and manage reservations without manual intervention. It leverages AI to parse messages, apply group discounts, check availability, and send natural confirmations—all within a single, reusable workflow. Key Features AI‑powered parsing & responses**: Extracts guest name, date, time, and party size from free‑form WhatsApp messages and generates friendly confirmations.. Availability lookup**: Integrates with Google Sheets, Airtable, or MySQL to verify slot availability in real time. Automated reminders**: Optionally schedules follow‑up messages 24 hours before the booking. Modular design**: Swap triggers, storage, or messaging nodes to fit your infrastructure. How It Works Trigger: Incoming WhatsApp message via WhatsApp Business Cloud API. Parse & Validate: AI Function node extracts intent and guest details. Calculate Discount: Custom Function node computes group discount. Compose Confirmation: Open Ai text model generates a personalized response. Send Message:Request node posts back to WhatsApp. Optional Reminder: Wait node + HTTP Request for pre‑booking follow‑up. Requirements WhatsApp Business Cloud API access n8n Cloud or self‑hosted instance Reservation datastore (Google Sheets, Airtable, MySQL) Open ai key for AI text generation Customization Tips Menu Attachments**: Add media nodes to send PDFs or images. Alternate Slot Suggestions**: Use AI to propose new times if a slot is full. Upsell Offers**: Follow up with add‑on suggestions (e.g., wine pairings). Localization**: Extend prompts for multilingual support. An n8n automation workflow template by Basil Irfan.

By Max Mitcham

An intelligent automation workflow that monitors thought leader activity via social listening, tracks high-value prospects who engage with industry content, and systematically builds a qualified lead database through social intelligence gathering. Overview This workflow transforms passive social listening into proactive lead generation by identifying prospects who demonstrate genuine interest in industry topics through their engagement with thought leader content. It creates a continuous pipeline of warm prospects with enriched data for personalized outreach. 🔄 Workflow Process 1. Social Intelligence Webhook Real-time engagement monitoring Integrated with Trigify.io social listening platform Monitors thought leader posts and their engagers Captures detailed prospect and company enrichment data Processes LinkedIn engagement activities in real-time Includes enriched contact information (email, phone, LinkedIn URLs) 2. Data Processing & Extraction Structured data organization Post Data Extraction**: Isolates LinkedIn post URLs, content, and posting dates Prospect Data Extraction**: Captures first/last names, job titles, LinkedIn profiles, and locations Company Data Extraction**: Gathers company names, domains, sizes, industries, and LinkedIn pages Prepares data for duplicate detection and storage systems 3. Duplicate Detection System Data quality maintenance Queries existing Google Sheets database by post URL Identifies previously tracked thought leader content Filters out duplicate posts to maintain data quality Only processes genuinely new thought leader activities Maintains clean, unique post tracking records 4. New Content Validation Gate Quality control checkpoint Validates that post URLs are not empty (indicating new content) Prevents processing of duplicate or invalid data Ensures only fresh thought leader content triggers downstream actions Maintains database integrity and notification relevance 5. Thought Leader Post Tracking Systematic content monitoring Appends new thought leader posts to "Social Warming" Google Sheets Records post URLs, content text, and publication dates Creates searchable database of industry thought leadership content Enables trend analysis and content performance tracking 6. Real-Time Slack Notifications Immediate team alerts Sends formatted alerts to #comment-strategy channel Includes post content, publication date, and direct links Provides action buttons (View Post, Engage Now, Save for Later) Enables rapid response to thought leader activity Facilitates team coordination on engagement opportunities 7. ICP Qualification Filter Smart prospect identification Filters engagers by job title keywords (currently: "marketing") Customizable ICP criteria for targeted lead generation Focuses on high-value prospects matching ideal customer profiles Prevents database pollution with irrelevant contacts 8. Qualified Lead Database Systematic prospect capture Appends qualified engagers to "Engagers" Google Sheets Records comprehensive prospect and company data Includes contact enrichment (emails, phone numbers) Creates actionable lead database for sales outreach Maintains detailed company intelligence for personalization 🛠️ Technology Stack n8n**: Workflow orchestration and webhook management Trigify.io**: Social listening and engagement monitoring platform Google Sheets**: Lead database and content tracking system Slack API**: Real-time team notifications and collaboration Data Enrichment**: Automated contact and company information gathering ✨ Key Features Real-time thought leader content monitoring Automated prospect discovery through social engagement ICP-based lead qualification and filtering Duplicate content detection and prevention Comprehensive prospect and company data enrichment Integrated CRM-ready lead database creation Team collaboration through Slack notifications Customizable qualification criteria for targeted lead generation 🎯 Ideal Use Cases Perfect for sales and marketing teams seeking warm prospects: B2B Sales Teams** seeking warm prospects through social engagement Marketing Professionals** building targeted lead databases Business Development Teams** identifying engaged prospects Account-Based Marketing Campaigns** requiring social intelligence Sales Professionals** needing conversation starters with warm leads Companies** wanting to identify prospects already engaged with industry content Teams** requiring systematic lead qualification through social activity Organizations** seeking to leverage thought leadership for lead generation 📈 Business Impact Transform social listening into strategic lead generation: Warm Lead Generation**: Identifies prospects already engaged with industry content Social Selling Intelligence**: Provides conversation starters through engagement history ICP Qualification**: Focuses efforts on prospects matching ideal customer profiles Relationship Building**: Enables outreach based on genuine interest demonstration Market Intelligence**: Tracks industry engagement patterns and trending content Sales Efficiency**: Prioritizes prospects who show active industry engagement Personalization Data**: Provides context for highly personalized outreach campaigns 💡 Strategic Advantage This workflow creates a fundamental shift from cold outreach to warm, contextual conversations. By identifying prospects who have already demonstrated interest in industry topics through their engagement behavior, sales teams can approach leads with genuine relevance and shared context. The system delivers: Continuous Pipeline**: Automated flow of warm prospects showing industry engagement Social Context**: Rich background data for meaningful, personalized conversations Quality Focus**: ICP-filtered prospects matching ideal customer profiles Engagement History**: Conversation starters based on actual prospect interests Competitive Advantage**: Proactive lead identification before competitors Rather than interrupting prospects with cold messages, this workflow enables sales teams to join conversations prospects are already having, dramatically increasing response rates and relationship-building success. An n8n automation workflow template by Max Mitcham.

By Marth - Business Automation

How It Works ⚙️ This workflow streamlines your property tour scheduling into two main automated flows: A. Property Tour Request & Automated Scheduling 0. Form Trigger (Property Tour Request): 🚀 The workflow initiates immediately when a prospective client fills out a property tour interest form on your website or a dedicated landing page. This serves as the initial data input point. 1. Extract Prospect Data (Function): 🧹 This node processes the incoming form data, intelligently extracting essential details such as the prospect's full name, email, phone number, and the specific property they are interested in. 2. Generate Scheduling Link (Function): 🔗 This node dynamically constructs a personalized scheduling link (e.g., from Calendly or another scheduling tool) that is pre-configured to show your agent's real-time availability. 3. Send Scheduling Link (Gmail/SMS): 📧 An automated email or SMS containing this personalized scheduling link is instantly dispatched to the prospect, allowing them to conveniently select a tour time that fits their schedule and aligns with the agent's availability. B. Tour Confirmation & Reminders 4. Webhook: Schedule Confirmation (Waiting for Confirmation): ⏳ The workflow patiently waits for a webhook signal from your scheduling tool (e.g., Calendly) confirming that the prospect has successfully selected and confirmed a tour slot. 5. Add Event to Agent's Calendar (Google Calendar): 🗓️ Upon confirmation, the property tour event is automatically added to the relevant agent's Google Calendar, complete with all prospect and property details, ensuring no appointments are missed. 6. Send Confirmation Notification (Slack to Agent): 📢 A detailed notification is sent to the agent's Slack channel or email, immediately informing them about the newly scheduled tour and providing all pertinent information at a glance. 7. Wait (For Tour Reminder): ⏱️ This node intelligently waits for a calculated period (e.g., 1 hour) before the scheduled tour time, ensuring the reminder is sent precisely when it's most impactful. 8. Send Tour Reminder (Gmail): 🔔 A personalized reminder email or SMS is automatically sent to the prospect a set time before the scheduled tour, significantly helping to reduce no-shows and ensure timely attendance. How to Set Up 🛠️ Follow these steps carefully to get your "Property Tour Scheduling Automation" workflow up and running in n8n: Import Workflow JSON: Open your n8n instance. Click on 'Workflows' in the left sidebar. Click the '+' button or 'New' to create a new workflow. Click the '...' (More Options) icon in the top right. Select 'Import from JSON' and paste the entire JSON code for this workflow. Configure 0. Form Trigger (Property Tour Request): Locate the '0. Form Trigger (Property Tour Request)' node. Activate the workflow. n8n will provide a unique 'Webhook URL'. Crucial Step: Integrate this 'Webhook URL' into your website's property tour request form (e.g., via Elementor Forms, Gravity Forms, or any other form platform). Ensure your form sends data in JSON format. Form Fields: Adjust the 'Form Fields' in this node (e.g., "Full Name", "Email", "Phone Number", "Interested Property ID", "Property Name (optional)") to precisely match the input fields of your actual form. If they don't match, update them here. Configure 1. Extract Prospect Data (Function): Locate the '1. Extract Prospect Data' node. Adjust Field Names: Review the functionCode within this node. You MUST adjust the variable assignments (e.g., formData['Full Name'], formData['Interested Property ID']) to accurately match the exact field names sent by your Form Trigger. Use n8n's 'Test Workflow' feature (after submitting a test form entry) to inspect the incoming items[0].json.body data structure and make precise adjustments. Configure 2. Generate Scheduling Link (Function): Locate the '2. Generate Scheduling Link' node. Set Base Scheduling URL: Inside the functionCode, replace 'YOUR_CALENDLY_BASE_LINK_FOR_AGENT' with the base URL of your Calendly or other scheduling tool link (e.g., https://calendly.com/your-agent-name). Adjust Parameters: If your scheduling tool supports URL parameters for pre-filling information (e.g., prospect name, email), adjust the code to include them (e.g., ?name=${encodeURIComponent(prospectData.clientName)}&email=${encodeURIComponent(prospectData.clientEmail)}). Configure 3. Send Scheduling Link (Gmail): Locate the '3. Send Scheduling Link (Gmail)' node. Credentials: Select your existing Gmail OAuth2 credential or click 'Create New' to set one up. You'll need to replace YOUR_GMAIL_CREDENTIAL_ID with the actual ID or name of your credential from your n8n credentials list. From Email: Replace your-agent-email@example.com with the desired sending email address for tour requests. The 'To Email', 'Subject', and 'HTML' body fields will be dynamically populated from the previous 'Function' node. (Optional: Switch to SMS): Delete this Gmail node and add a Twilio node. Configure its credentials, 'From Phone Number', 'To Phone Number' (from prospect data), and 'Message' (include the scheduling link). Configure 4. Webhook: Schedule Confirmation (Waiting for Confirmation): Locate the '4. Webhook: Schedule Confirmation (Waiting for Confirmation)' node. Activate the workflow. n8n will provide a unique 'Webhook URL'. Crucial Step: In your scheduling tool (e.g., Calendly), configure a webhook to send data to this n8n URL whenever an event is scheduled or confirmed. This is vital for the workflow to proceed after the prospect selects a time. Configure 5. Add Event to Agent's Calendar (Google Calendar): Locate the '5. Add Event to Agent's Calendar (Google Calendar)' node. Credentials: Select your existing Google Calendar OAuth2 credential or create a new one. Replace YOUR_GOOGLE_CALENDAR_CREDENTIAL_ID with the actual ID or name of your credential. Calendar ID: Replace YOUR_AGENT_CALENDAR_ID with the specific calendar ID of the agent where you want to add the event. Adjust Event Details: Ensure 'Event Name', 'Start Date & Time', 'End Date & Time', and 'Description' use the correct expressions to pull data from the incoming scheduling tool webhook (e.g., {{ $json.payload.event.start_time }}). Configure 6. Send Confirmation Notification (Slack to Agent): Locate the '6. Send Confirmation Notification (Slack to Agent)' node. Credentials: Ensure your Slack API credential is selected. Channel: Replace YOUR_AGENT_SLACK_CHANNEL_ID_OR_NAME with the exact ID or name of the Slack channel where agents receive tour scheduling notifications (e.g., #tour-bookings). (Optional: Switch to Email): Delete this Slack node and add a Gmail or SendGrid node. Configure its credentials, 'To Email' (agent's email), 'Subject', and 'HTML' body. Configure 7. Wait (For Tour Reminder): Locate the '7. Wait (For Tour Reminder)' node. Time Calculation: The node is set to wait until 1 hour before the scheduled tour start time ({{ $json.payload.event.start_time }}). Timezone: Replace YOUR_TIMEZONE_LIKE_Asia/Jakarta with your actual timezone (e.g., America/New_York, Europe/London). This is crucial for accurate timing. Configure 8. Send Tour Reminder (Gmail): Locate the '8. Send Tour Reminder (Gmail)' node. Credentials: Ensure your Gmail API credential is selected. From Email: Replace your-agent-email@example.com with the sending email address. (Optional: Switch to SMS): Delete this Gmail node and add a Twilio node, configuring it similarly to step 5 for SMS reminders. Review and Activate: Thoroughly review all node configurations. Ensure all placeholder values (like YOUR_...) are replaced with your actual information and settings are correct. Click the 'Save' button in the top right corner. Finally, toggle the 'Inactive' switch to 'Active' to enable your workflow. 🟢 Your "Property Tour Scheduling Automation" workflow is now live!. An n8n automation workflow template by Marth - Business Automation.

By Evoort Solutions

AI-Powered Image Background Removal Workflow with Google Sheets Integration Flow Description: This workflow utilizes AI-powered image background removal integrated with Google Sheets to create a fully automated and streamlined process for handling and managing image files. The flow is triggered when a user uploads an image through a form. The image is sent to the API Background Remover AI, where it undergoes automatic background removal. Upon successful processing, the new image is uploaded to a temporary file storage service using the Temp File Upload. Afterward, the relevant data, including the image link and status, is logged in a Google Sheets document for easy access and tracking. In case the process fails, the system automatically logs a failure status in the same Google Sheet, along with the reason (if applicable). This allows users to have a transparent, organized, and real-time view of both successful and failed background removal attempts. Used APIs: Background Remover AI: An AI-powered service that removes backgrounds from images. This service offers a fast, accurate, and scalable solution for background removal in images. Temp File Upload: This API facilitates the upload of processed images to a temporary file storage service, making it easy to access and manage files before permanent storage. Use Case: This workflow is highly beneficial for businesses and developers who need to process multiple images automatically. It helps automate tedious tasks such as background removal, making it an efficient tool for industries like: E-commerce**: Automatically removing backgrounds from product images for clean, professional-looking listings across online platforms such as Amazon, eBay, or Shopify. Content Creation**: Content creators can quickly remove backgrounds from images for blogs, social media posts, and marketing campaigns, saving significant time in photo editing. Real Estate**: Real estate businesses can use this workflow to enhance property images by removing unwanted backgrounds, making them look more polished and appealing for listings. Advertising & Marketing**: This workflow simplifies image preparation for digital ads, banners, and promotional content by automatically cleaning up images for a more professional look. Benefits: Time-Saving: By automating the background removal process via the **Background Remover AI API, you eliminate the need for manual image editing, saving time and resources. AI-Powered Accuracy**: The AI-powered background removal service ensures precise and high-quality results consistently. Seamless Integration with Google Sheets: All successful and failed image processing attempts are automatically logged into a **Google Sheets document, ensuring you have a transparent, real-time record of each operation. Error Tracking**: In case of failure, detailed error logs are created in Google Sheets, allowing easy tracking and troubleshooting. Efficient Cloud Storage: The **Temp File Upload API stores processed images securely in the cloud, offering a temporary solution before permanent storage. Google Sheets Table Example: The data from the workflow will be automatically added to a Google Sheets document, creating an organized table with information about the processed images. The table will have the following columns: | Image Name | Link | Status | Expire At | |-----------------|----------|------------|---------------------| | image1.jpg | Link | Success | 2025-07-25T12:00:00Z | | image2.jpg | Link | Success | 2025-07-25T12:00:00Z | | image3.jpg | Not found | Failed | 2025-07-24T12:00:00Z | | image4.jpg | Link | Success | 2025-07-25T12:00:00Z | Columns Explained: Image Name**: The name of the image file uploaded by the user. Link**: A direct link to the processed image stored in temporary file storage. Status: Indicates whether the background removal was **Successful or Failed. Expire At**: The expiration date and time when the temporary file link will no longer be accessible. This table provides real-time tracking of each image processing event, offering full visibility of the workflow results. It is ideal for businesses or developers who need to keep a record of their image-processing operations. Additional Features: Automatic Error Logging**: If the background removal fails for any reason, a failure entry is recorded in Google Sheets with a timestamp and an error message. Custom Expiry Time**: The system automatically sets an expiry time for the processed image, allowing temporary access before it expires and is removed from storage. Scalable Process**: The workflow can easily handle multiple form submissions and process images in bulk, making it scalable for various use cases. Create your free n8n account and set up the workflow in just a few minutes using the link below: 👉 Start Automating with n8n Save time, stay consistent, and grow your LinkedIn presence effortlessly!. An n8n automation workflow template by Evoort Solutions.

By AI/ML API | D1m7asis

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Generate Veo3 Videos via AI/ML API, Save to Google Drive and Upload to YouTube Transform your content creation process by automating video generation with AI, publishing to YouTube, and logging results in Google Sheets. This workflow is ideal for content creators, marketers, and social media managers looking to streamline video production and distribution. How it works Trigger: Start the workflow manually or on a scheduled interval (e.g., every hour). Generate Video: Send a request to the AI/ML API to create video content based on predefined prompts and settings. Monitor Status: Poll the AI/ML API until the video generation is completed, with retry logic for reliability. Download & Upload: Retrieve the generated video file and upload it to your connected YouTube channel. Title Generation: Generate a YouTube title using AI to optimize for engagement. Log Results: Update a Google Sheet with video metadata and the YouTube URL for tracking and analytics. Set up steps Connect Credentials: Add OAuth2 credentials for AI/ML API, YouTube, and Google Sheets in n8n Credentials. Configure Nodes: Rename nodes for clarity (e.g., Generate Video, Upload to YouTube) and set up the HTTP Request node to use your AI/ML API credential. Sheet Preparation: Create a Google Sheet with columns for Date, Prompt, Video ID, and YouTube URL. Schedule: If using scheduling, configure the Schedule Trigger interval (e.g., every 60 minutes). Test & Deploy: Run a manual trigger, verify video generation, upload, and sheet entry, then activate the workflow for automation. An n8n automation workflow template by AI/ML API | D1m7asis.

By Abdullah Alshiekh

🧩 What Problem Does It Solve? Manually reviewing CVs from Telegram job applicants is slow, error-prone, and often inconsistent. This workflow automates the collection, analysis, and storage of CVs — saving HR teams hours while ensuring structured, high-quality candidate data for fast decision-making. 📝 Description This workflow is built to help HR teams collect and qualify CVs sent over Telegram. It verifies that a candidate submits a valid PDF, stores the file securely, extracts key information using AI, and logs everything neatly in Google Sheets. 🎯 Key Advantages for HR Teams ✅ Automatically filters out non-PDF and invalid messages ✅ Uses AI to extract clean, structured candidate data ✅ Links CV files to Google Sheets for easy HR access ✅ Eliminates manual data entry from physical CVs ✅ Provides a scalable CV pipeline via Telegram 🛠️ Features Telegram bot for CV collection MIME-type PDF validation Google Drive integration for secure storage Text extraction from PDFs Gemini AI-powered CV parsing Google Sheets integration for candidate logging Merge logic to synchronize multiple streams JSON-safe parsing for AI output Automatic job title and experience categorization Duplicate prevention through name-based matching 🔧 Requirements A Telegram bot token Google Drive API credentials Google Sheets API credentials Gemini API key (or another LLM) n8n instance with relevant credentials configured Candidates sending CVs in PDF format 🧠 Use Case Examples Recruitment Agencies: Automate pre-screening and reduce manual effort Small Startups: Collect high-quality CVs without paying for an ATS Internship Programs: Quickly categorize applicants by experience Remote Hiring: Accept global CVs via Telegram from mobile users Freelancer Portals: Auto-log contractor profiles from incoming resumes ⚙️ Configuration Tips 1-Set up Telegram Bot API credentials 2-Configure Google Drive API access 3-Configure Google Sheets API access 4-Configure Google Gemini/PaLM API access 5-Replace all placeholder IDs with your actual values If you need any help Get in Touch. An n8n automation workflow template by Abdullah Alshiekh.

By Nabin Bhandari

This template uses VAPI and Cal.com to book appointments through a voice conversation. It detects whether the user wants to check availability or book an appointment, then responds naturally with real-time scheduling options. Who is this for? This workflow is perfect for: Voice assistant developers AI receptionists and smart concierge tools Service providers (salons, clinics, coaches) needing hands-free scheduling Anyone building voice-based customer experiences What does it do? This workflow turns a natural voice conversation into a working appointment system. It starts with a Webhook connected to your VAPI voice agent. The Set node extracts user intent (like “check availability” or “book now”). A Switch node branches logic based on the intent. If the user wants to check availability, the workflow fetches available times from Cal.com. If the user wants to book, it creates a new event using Cal.com's API. The final result is sent back to VAPI as a conversational voice response. How to use it Import this workflow into your n8n instance. Set up a Webhook node and connect it to your VAPI voice agent. Add your Cal.com API token as a credential (use HTTP Header Auth). Deploy and test using VAPI’s simulator or real phone input. (Optional) Customize the OpenAI prompt if you're using it to process or moderate inputs. Requirements A working VAPI agent A Cal.com account with API access n8n (cloud or self-hosted) An understanding of how to configure webhook and API credentials in n8n Customization Ideas Swap out Cal.com with another booking API (like Calendly) Add a Google Sheets or Supabase node to log appointments Use OpenAI to summarize or sanitize voice inputs before proceeding Build multi-turn conversations in VAPI for more complex bookings. An n8n automation workflow template by Nabin Bhandari.

By Lakindu Siriwardana

📚 Chat with Internal Documents (RAG AI Agent) ✅ Features Answers should given only within provided text. Chat interface powered by LLM (Ollama) Retrieval-Augmented Generation (RAG) using Supabase Vector DB Multi-format file support (PDF, Excel, Google Docs, text files) Automated file ingestion from Google Drive Real-time document update handling Embedding generation via Ollama for semantic search Memory-enabled agent using PostgreSQL Custom tools for document lookup with context-aware chat ⚙️ How It Works 📥 Document Ingestion & Vectorization Watches a Google Drive folder for new or updated files. Deletes old vector entries for the file. Uses conditional logic to extract content from PDFs, Excel, Docs, or text Summarizes and preprocesses content. (if needed) Splits and embeds the text via Ollama. Stores embeddings in Supabase Vector DB 💬 RAG Chat Agent Chat is initiated via Webhook or built-in chat interface. User input is passed to the RAG Agent. Agent queries the User_documents tool (Supabase vector store) using the Ollama model to fetch relevant content. If context is found, it answers directly. Otherwise, it can call tools or request clarification. Responses are returned to the user, with memory stored in PostgreSQL for continuity. 🛠 Supabase Database Configuration Create a Supabase project at https://supabase.com and go to the SQL editor. Create a documents table with the following schema: id - int8 content - text metadata - jsonb embedding - vector Generate an API Key. An n8n automation workflow template by Lakindu Siriwardana.

By Yaron Been

This workflow provides automated access to the Black Forest Labs Flux Kontext Pro AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete image generation process using the Black Forest Labs Flux Kontext Pro model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: A state-of-the-art text-based image editing model that delivers high-quality outputs with excellent prompt following and consistent results for transforming images through natural language Key Capabilities High-quality image generation from text prompts** Advanced AI-powered visual content creation** Customizable image parameters and styles** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Black Forest Labs/flux-kontext-pro AI model Black Forest Labs Flux Kontext Pro**: The core AI model for image generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Image Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Content Creation**: Generate unique images for blogs, social media, and marketing materials Design Prototyping**: Create visual concepts and mockups for design projects Art & Creativity**: Produce artistic images for personal or commercial use Marketing Materials**: Generate eye-catching visuals for campaigns and advertisements Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #imagegeneration #aiart #texttoimage #visualcontent #aiimages #generativeart #flux #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation. An n8n automation workflow template by Yaron Been.

By Yaron Been

This workflow provides automated access to the Flux Kontext Apps Portrait Series AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete image generation process using the Flux Kontext Apps Portrait Series model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Create a series of portrait photos from a single image Key Capabilities High-quality image generation from text prompts** Advanced AI-powered visual content creation** Customizable image parameters and styles** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Flux Kontext Apps/portrait-series AI model Flux Kontext Apps Portrait Series**: The core AI model for image generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Image Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Content Creation**: Generate unique images for blogs, social media, and marketing materials Design Prototyping**: Create visual concepts and mockups for design projects Art & Creativity**: Produce artistic images for personal or commercial use Marketing Materials**: Generate eye-catching visuals for campaigns and advertisements Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #imagegeneration #aiart #texttoimage #visualcontent #aiimages #generativeart #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation. An n8n automation workflow template by Yaron Been.

By Yaron Been

This workflow provides automated access to the Black Forest Labs Flux Kontext Max AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete image generation process using the Black Forest Labs Flux Kontext Max model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: A premium text-based image editing model that delivers maximum performance and improved typography generation for transforming images through natural language prompts Key Capabilities High-quality image generation from text prompts** Advanced AI-powered visual content creation** Customizable image parameters and styles** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Black Forest Labs/flux-kontext-max AI model Black Forest Labs Flux Kontext Max**: The core AI model for image generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Image Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Content Creation**: Generate unique images for blogs, social media, and marketing materials Design Prototyping**: Create visual concepts and mockups for design projects Art & Creativity**: Produce artistic images for personal or commercial use Marketing Materials**: Generate eye-catching visuals for campaigns and advertisements Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #imagegeneration #aiart #texttoimage #visualcontent #aiimages #generativeart #flux #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation. An n8n automation workflow template by Yaron Been.

By Yaron Been

This workflow provides automated access to the Fofr Any Comfyui Workflow AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Fofr Any Comfyui Workflow model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Run any ComfyUI workflow. Guide: https://github.com/replicate/cog-comfyui Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Fofr/any-comfyui-workflow AI model Fofr Any Comfyui Workflow**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation. An n8n automation workflow template by Yaron Been.

By Yaron Been

This workflow provides automated access to the Digitalhera Heranathalie AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Digitalhera Heranathalie model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Digitalhera/heranathalie AI model Digitalhera Heranathalie**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation. An n8n automation workflow template by Yaron Been.

By Richard Besier

📤 Search Products from Facebook Ads on Amazon Once connected, this automation automatically scrapes Facebook ads from a specific Facebook Ad Library URL and searches for that same product on Amazon. Can be useful for Amazon FBA or dropshipping. 🔨 Setup This automation workflow is connected with two Apify scrapers. Make sure to connect the two scrapers mentioned in the blue and orange box, with their specific API endpoints. 👋 Need Help? If you need further help, or want a specific automation to be built for you, feel free to contact me via richard@advetica-systems.com. An n8n automation workflow template by Richard Besier.

By InfraNodus

Augment AI chatbot prompts with a knowledge graph reasoning ontology and improve the quality of responses with Graph RAG. In this workflow, we augment the original prompt using the InfraNodus GraphRAG system that will extract a reasoning ontology from a graph that you create (or that you can copy from our repository of public graphs). This additional reasoning logic will improve the user's prompt and make it more descriptive and closely related to the logic you want to use. As the next step, you can send it back to the same graph to generate a high-quality response using Graph RAG or to another graph (or AI model) to apply one type of knowledge in a completely different field. How it works Receives a request from a user (via n8n or a publicly available URL chat bot, you can also connect it to Telegram Sends the request to the knowledge graph in your InfraNodus account that contains a reasoning ontology represented as a knowledge graph. Reformulates the original prompt to include the reasoning logic provided. Sends the request to the knowledge graph in your InfraNodus account (same as the previous one or a new one for cross-disciplinary research) to retrieve a high-quality response using GraphRAG Special sauce: InfraNodus will build a graph from your augmented prompt, then overlap it on the knowledge graph you want to inquire, traverse this graph based on the overlapped parts and extended relations, then retrieve the necessary part of the graph and include it in the context to improve the quality of your response. This helps InfraNodus grasp the relations and nuances that are not usually available through standard RAG. How to use • Just get an InfraNodus API key and add it into your Prompt Augmentation and Knowledge Base InfraNodus HTTP nodes for authentication • Then provide the name of the graphs you want to be using for prompt augmentation and retrieval. Note, these can be two different graphs if you want to apply a reasoning logic from one domain in another (e.g. machine learning in biology or philosophy in electrical engineering). Support If you wan to create your own reasoning ontology graphs, please, refer to this article on generating your own knowledge graph ontologies. You may also be interested to watch this video that explains the logic of this approach in detail: Help article on the same topic: Using knowledge graphs as reasoning experts. An n8n automation workflow template by InfraNodus.

By Muhammad Sajid

TruePeopleSearch Scraper for Skip Tracers Enrich any list of people with verified contact info using this workflow. This n8n automation scrapes TruePeopleSearch using Zyte's extraction API to safely bypass bot protection and extract detailed profiles. It’s built for data brokers, skip tracers, and real estate professionals who need clean contact data (phone, email, address) from names alone — even when the main profile is empty. If the original profile lacks a phone number, the workflow intelligently scrapes one of their listed relatives instead — giving you the best possible chance of finding a valid number. What this workflow does Pulls lead data (first name, last name, and custom search URL) from a Google Sheet Sends the TruePeopleSearch search URL to Zyte’s Scraping API to retrieve search results HTML Parses the first matching profile link from the results (by full name > first name > last name) Visits that profile page and extracts: Full Name Age / Date of Birth Primary Phone Number Other Phone Numbers Email Addresses Current Address If no phone numbers are found: Detects a relative's profile link Scrapes the relative’s profile for fallback contact data Writes all scraped information (or empty fields) back into the same row in Google Sheets You’ll need n8n (self-hosted or cloud)** To run and automate the workflow Zyte Scraping API** A Zyte account + API key to access their /extract endpoint (Use HTTP Basic Auth in the HTTP Request node) Google Sheets integration** Your own lead sheet with headers like: row_number (used to write back to the correct row) First Name Last Name SearchURL (Search by Address) Basic JavaScript familiarity (optional)** To tweak the HTML parsing logic for profile structure changes Example Google Sheet Use this Google Sheet as a template for your inputs and outputs: 👉 TruePeopleSearch Lead Template (Google Sheet) Disclaimer TruePeopleSearch may change its structure or block heavy scraping — always test at small scale first This workflow is built to simulate human behavior via Zyte’s smart rendering — scraping is still subject to site limitations Use ethically and within your local data usage laws Categories Data Enrichment · Scraping Automation · Lead Generation · Skip Tracing Feel free to drop me an email if you need help with building a custom scraping automation for your business at sajid@marketingbyprof.com. An n8n automation workflow template by Muhammad Sajid.

By Yaron Been

This workflow provides automated access to the Ibm Granite Granite Vision 3.3 2B AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete image generation process using the Ibm Granite Granite Vision 3.3 2B model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Granite-vision-3.3-2b is a compact and efficient vision-language model, specifically designed for visual document understanding, enabling automated content extraction from tables, charts, infograph... Key Capabilities High-quality image generation from text prompts** Advanced AI-powered visual content creation** Customizable image parameters and styles** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Ibm Granite/granite-vision-3.3-2b AI model Ibm Granite Granite Vision 3.3 2B**: The core AI model for image generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Image Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Content Creation**: Generate unique images for blogs, social media, and marketing materials Design Prototyping**: Create visual concepts and mockups for design projects Art & Creativity**: Produce artistic images for personal or commercial use Marketing Materials**: Generate eye-catching visuals for campaigns and advertisements Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #imagegeneration #aiart #texttoimage #visualcontent #aiimages #generativeart #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation. An n8n automation workflow template by Yaron Been.

By Harsh Maniya

Build an AI Research Assistant for WhatsApp with Perplexity and Claude 💡 Ever wished you could get a deep, multi-source research report on any topic, delivered directly to your WhatsApp chat in seconds? This workflow transforms your WhatsApp into a powerful, on-demand research assistant, perfect for students, professionals, and curious minds. Leveraging the deep research capabilities of Perplexity, the nuanced formatting skills of Anthropic's Claude, and the messaging power of Twilio, this workflow automates the entire process from query to polished answer. Ask it anything, and receive a well-structured, easy-to-read summary moments later. What This Workflow Does 🚀 📲 Listens for Incoming Queries: The workflow starts when a user sends a message to your configured Twilio WhatsApp number. 🧠 Performs Deep Research: It takes the user's query and feeds it to the Perplexity node, which uses the sonar-pro model to conduct a comprehensive, multi-source analysis on the topic. 🎨 Polishes the Content: The raw, detailed research report from Perplexity is then passed to an Anthropic Claude model. This crucial step refines the text, adds engaging emojis, ensures it's under the WhatsApp character limit, and formats it perfectly for mobile viewing. 💬 Sends an Instant Reply: The final, beautifully formatted summary is sent directly back to the user's WhatsApp chat via Twilio, completing the entire request. Nodes Used 🛠️ Webhook: To receive the initial message from Twilio and trigger the workflow. Perplexity: To perform the AI-powered deep research on the user's query. Anthropic (via LangChain): To connect to and use the Claude model for reformatting and polishing the content. Twilio: To send the final, formatted message back to the user on WhatsApp. How to Set Up This Workflow ⚙️ This workflow requires careful setup between n8n and Twilio to function correctly. Follow these steps closely. 1\. Prerequisites ✅ You will need accounts for the following services: n8n (Cloud or self-hosted) Twilio Perplexity AI (for an API key) Anthropic (for a Claude API key) 2\. Configure Credentials 🔑 In your n8n instance, add your API keys for Twilio, Perplexity, and Anthropic. You can add credentials in n8n by going to the Credentials tab in the left-hand menu. Learn more about managing credentials in n8n. 3\. Set Up Your Twilio WhatsApp Number 📱 Log in to your Twilio account. Either purchase a phone number that is WhatsApp-enabled or use the free Twilio Sandbox for WhatsApp for testing. Follow Twilio's guide to connect your number or sandbox to the WhatsApp Business API. Read Twilio's Getting Started with WhatsApp Guide. 4\. Expose Your n8n Webhook URL 🌐 For Twilio to communicate with n8n, your n8n webhook URL must be publicly accessible. Open the Fetch Whatsapp Request (Webhook) node in the workflow. You will see two URLs: Test and Production. For this guide, we will use the Test URL. If you are running n8n locally or on a private server, you must expose this URL to the public internet. You can do this easily using n8n's built-in tunnel feature. Start n8n from your computer's command line with the following command: n8n start --tunnel After starting, n8n will provide you with a public "tunnel URL". It will look something like https://[subdomain].hooks.n8n.cloud/. Copy this public tunnel URL. Learn more about tunneling in the n8n docs. 5\. Connect Twilio to Your n8n Webhook 🔗 In your Twilio Console, navigate to the settings for the phone number (or sandbox) you configured in Step 3. Scroll down to the Messaging section. Find the field labeled "A MESSAGE COMES IN". Paste your n8n Test URL (or your public tunnel URL from the previous step) into this field. Ensure the dropdown next to it is set to HTTP POST. Click Save. 6\. Activate and Test Your Workflow ▶️ Go back to your n8n canvas. Click "Test workflow" in the top right corner. This will put your webhook in a "listening" state. Now, send a message from your personal WhatsApp to your configured Twilio WhatsApp number. You should see the workflow execute successfully in n8n and receive a formatted reply on WhatsApp\! Once you've confirmed it works, save and activate the workflow to have it run permanently. Further Reading 📚 n8n Webhook Node Documentation n8n Twilio Node Documentation Perplexity API Documentation Anthropic API Documentation. An n8n automation workflow template by Harsh Maniya.

By Budi SJ

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Multi Platform Content Generator from YouTube using AI & RSS This workflow automates content generation by monitoring YouTube channels, extracting transcripts via AI, and creating platform-optimized content for LinkedIn, X/Twitter, Threads, and Instagram. Ideal for creators, marketers, and social media managers aiming to scale content production with minimal effort. ✨ Key Features 🔔 Automated YouTube Monitoring** via RSS feed 🧠 AI-Powered Transcript Extraction** using Supadata API ✍️ Multi-Platform Content Generation** with OpenRouter AI 🎯 Platform Optimization** based on tone and character limits 📬 Telegram Notification** for easy preview 📊 Centralized Data Management via Google Sheets** > 🗂️ All video data, summaries, and generated content are tracked and stored in a single, centralized Google Sheets template > This ensures full visibility, easy access, and smooth collaboration across your team. ⚙️ Workflow Components 1. 🧭 Channel Monitoring Schedule Trigger**: Initiates workflow periodically Google Sheets (Read)**: Pulls YouTube channel URLs HTTP Request + HTML Parser**: Extracts channel IDs from URLs RSS Reader**: Fetches latest video metadata 2. 🧾 Content Processing Supadata API**: Extracts transcript from YouTube video OpenRouter AI**: Summarizes transcript + generates content per platform Conditional Check**: Prevents duplicate content by checking existing records 3. 📤 Multi-Platform Output LinkedIn**: Story-driven format (≤ 1300 characters) X/Twitter**: Short, punchy copy (≤ 280 characters) Threads**: Friendly, conversational Instagram**: Short captions for visual posts 4. 🗃️ Data Management Google Sheets (Write)**: Stores video metadata + generated posts Telegram Bot**: Sends content preview ID Tracking**: Avoids reprocessing using video ID 🔐 Required Credentials Google Sheets OAuth2** Supadata API** OpenRouter API** Telegram Bot Token & Chat ID** 🎁 Benefits ⌛ Save Time**: Automates transcript + content generation 🔊 Consistent Tone**: Adjust AI prompts for brand voice 📡 Multi-Platform Ready**: One video → multiple formats 📂 Centralized Logs via Google Sheets**: Easily track, audit, and collaborate 🚀 Scalable**: Handle many channels with ease. An n8n automation workflow template by Budi SJ.

By Meelioo

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Understanding This Workflow In simple terms, this workflow triggers when you receive an e-mail in your inbox; classifies this e-mail based on the subject and notifies you using Telegram. It's fully customizable so you can change, add categoies and continue each data flow separately. E-Mails can hold pretty important information. But one can forget to check-up or rather not prefer to do so. This workflow keeps you updated of what's most important to you. Not only that, you can always talk to the bot to checkup on E-Mails you've missed. Set Up Overview IMAP E-Mail Trigger:** You can switch to a Gmail node aswell. Google Sheets:** Google Sheets is easy to use so I recommend you to keep it. AI Model:** Use any model of your preferance. As long as it is smart and uses less tokens. Telegram:** Refer to documentation to understand how to create a bot. > There is no correct line of setting up these credentials, as the workflow needs all to work; as long as you don't change the logic of the workflow. Note Please refer to the sticky notes in the workflow for a clear guide on setup, workflow description etc. If you need any help or need a hand, you can always message me. >https://community.n8n.io/u/mookie_lian. An n8n automation workflow template by Meelioo.

By Harsh Maniya

✅💬Build Your Own WhatsApp Fact-Checking Bot with AI Tired of misinformation spreading on WhatsApp? 🤨 This workflow transforms your n8n instance into a powerful, automated fact-checking bot\! Send any news, claim, or question to a designated WhatsApp number, and this bot will use AI to research it, provide a verdict, and send back a summary with direct source links. Fight fake news with the power of automation and AI\! 🚀 How it works ⚙️ This workflow uses a simple but powerful three-step process: 📬 WhatsApp Gateway (Webhook node): This is the front door. The workflow starts when the Webhook node receives an incoming message from a user via a Twilio WhatsApp number. 🕵️ The Digital Detective (Perplexity node): The user's message is sent to the Perplexity node. Here, a powerful AI model, instructed by a custom system prompt, analyzes the claim, scours the web for reliable information, and generates a verdict (e.g., ✅ Likely True, ❌ Likely False). 📲 WhatsApp Reply (Twilio node): The final, formatted response, complete with the verdict, a simple summary, and source citations, is sent back to the original user via the Twilio node. Setup Guide 🛠️ Follow these steps carefully to get your fact-checking bot up and running. Prerequisites A Twilio Account with an active phone number or access to the WhatsApp Sandbox. A Perplexity AI Account to get an API key. 1\. Configure Credentials You'll need to add API keys for both Perplexity and Twilio to your n8n instance. Perplexity AI: Go to your Perplexity AI API Settings. Generate and copy your API Key. In n8n, go to Credentials \& New, search for "Perplexity," and add your key. Twilio: Go to your Twilio Console Dashboard. Find and copy your Account SID and Auth Token. In n8n, go to Credentials \& New, search for "Twilio," and add your credentials. 2\. Set Up the Webhook and Tunnel To allow Twilio's cloud service to communicate with your n8n instance, you need a public URL. The n8n tunnel is perfect for this. Start the n8n Tunnel: If you are running n8n locally, you'll need to expose it to the web. Open your terminal and run: n8n start --tunnel Copy Your Webhook URL: Once the tunnel is active, open your n8n workflow. In the Receive Whatsapp Messages (Webhook) node, you will see two URLs: Test and Production. Copy the Test/Production URL. This is the public URL that Twilio will use. 3\. Configure Your Twilio WhatsApp Sandbox Go to the Twilio Console and navigate to Messaging \& Try it out \& Send a WhatsApp message. Select the Sandbox Settings tab. In the section "WHEN A MESSAGE COMES IN," paste your n8n Production Webhook URL. Make sure the method is set to HTTP POST. Click Save. How to Use Your Bot 🚀 Activate the Sandbox: To start, you (and any other users) must send a WhatsApp message with the join code (e.g., join given-word) to your Twilio Sandbox number. Twilio provides this phrase on the same Sandbox page. Fact-Check Away\! Once joined, simply send any claim or question to the Twilio number. For example: Did Elon Musk discover a new planet? Within moments, the workflow will trigger, and you'll receive a formatted reply with the verdict and sources right in your chat\! Further Reading & Resources 🔗 n8n Tunnel Documentation Twilio for WhatsApp Quickstart Perplexity AI API Documentation. An n8n automation workflow template by Harsh Maniya.

By Sk developer

📥 Pinterest Video to MP4 Downloader with Email Delivery | RapidAPI Integration This n8n workflow automates downloading Pinterest videos as MP4 files using the Pinterest Video Downloader API, uploads them to Google Drive, sets public access permissions, and emails the sharable download link to the user. 📝 Node-by-Node Explanation 1️⃣ n8n Form Trigger → Captures the Pinterest video URL and user email from a web form to start the workflow. 2️⃣ HTTP Request → Sends the submitted URL to Pinterest Video Downloader API to process and fetch downloadable MP4 links. 3️⃣ Wait → Pauses the workflow, allowing the API enough time to complete the MP4 conversion. 4️⃣ HTTP Downloader → Downloads the generated MP4 video from the API response. 5️⃣ Upload To Google Drive → Uploads the downloaded MP4 file to Google Drive for cloud storage. 6️⃣ Set Permissions Google Drive → Sets file permissions to allow public access via sharable link. 7️⃣ Send Email → Sends an automated email with the Google Drive download link to the user’s provided email address. 💡 Use Case Ideal for social media managers, digital marketers, educators, and content creators who frequently need to repurpose Pinterest videos for campaigns, training materials, or social posts. Saves time by automating the entire process—from URL submission to receiving a ready-to-share MP4 link via email, without any manual downloading, renaming, or cloud uploading. Perfect for agencies handling multiple clients who want to streamline bulk Pinterest video downloads and securely distribute them via email in seconds. ✅ Benefits Time Efficiency:** Automates video conversion and delivery, eliminating manual steps. Cloud Storage:** Automatically uploads videos to Google Drive, ensuring secure backup and easy organization. Public Access Links:** Instantly creates shareable links without extra permission settings. Seamless Email Delivery:** Sends ready-to-use download links directly to the user’s inbox. Scalable for Teams:** Supports multiple submissions, making it suitable for agencies managing high download volumes. Powered by RapidAPI:* Utilizes *Pinterest Video Downloader** for reliable, fast, and secure video extraction. An n8n automation workflow template by Sk developer.

By Marth - Business Automation

How It Works: The 5-Node Security Flow This workflow efficiently performs a scheduled data breach scan. 1. Scheduled Check (Cron Node) This is the workflow's trigger. It schedules the workflow to run at a specific, regular interval. Function:** Continuously runs on a set schedule, for example, every Monday morning. Process:* The *Cron** node automatically initiates the workflow, ensuring routine data breach scans are performed without manual intervention. 2. List Emails to Check (Code Node) This node acts as your static database, defining which email addresses to monitor for breaches. Function:** Stores a list of email addresses from your team or customers in a single, easy-to-update array. Process:** It configures the list of emails that are then processed by the subsequent nodes. This makes it simple to add or remove addresses as needed. 3. Query HIBP API (HTTP Request Node) This node connects to the HaveIBeenPwned (HIBP) API to check for breaches. Function:** Queries the HIBP API for each email address on your list. Process:** It sends a request to the HIBP API. The API responds with a list of data breaches that the email was found in, if any. 4. Is Breached? (If Node) This is the core detection logic. It checks the API response to see if any breach data was returned. Function:** Compares the API's response to an empty array. Process:* If the API response is *not empty**, it indicates a breach has been found, and the workflow is routed to the notification node. If the response is empty, the workflow ends safely. 5. Send High-Priority Alert (Slack Node) / End Workflow (No-Op Node) These nodes represent the final action of the workflow. Function:** Responds to a detected breach. Process:* If a breach is found, the *Slack* node sends an urgent alert to your team's security channel, notifying them of the compromised email. If no breaches are found, the *No-Op** node ends the workflow without any notification. How to Set Up Implementing this essential cybersecurity monitor in your n8n instance is quick and straightforward. 1. Prepare Your Credentials & API Before building the workflow, ensure all necessary accounts are set up and their credentials are ready. HIBP API Key:* You need to get an *API key** from haveibeenpwned.com. This key is required to access the API. Slack Credential:* Set up a *Slack credential* in n8n and note the *Channel ID** of your security alert channel (e.g., #security-alerts). 2. Import the Workflow JSON Get the workflow structure into your n8n instance. Import:** In your n8n instance, navigate to the "Workflows" section. Click the "New" or "+" icon, then select "Import from JSON." Paste the provided JSON code into the import dialog and import the workflow. 3. Configure the Nodes Customize the imported workflow to fit your specific monitoring needs. Scheduled Check (Cron):** Set the schedule according to your preference (e.g., every Monday at 8:00 AM). List Emails to Check (Code):* Open this node and *edit the emailsToCheck array**. Enter the list of company email addresses you want to monitor. Query HIBP API (HTTP Request):** Open this node and in the "Headers" section, add the header hibp-api-key with the value of your HIBP API key. Send High-Priority Alert (Slack):* Select your *Slack credential* and replace YOUR_SECURITY_ALERT_CHANNEL_ID with your actual *Channel ID**. 4. Test and Activate Verify that your workflow is working correctly before setting it live. Manual Test:** Run the workflow manually. You can test with a known breached email address (you can find examples online) to ensure the alert is triggered. Verify:** Check your specified Slack channel to confirm that the alert is sent with the correct information. Activate:** Once you're confident in its function, activate the workflow. n8n will now automatically monitor your important accounts for data breaches on the schedule you set. An n8n automation workflow template by Marth - Business Automation.

By Sk developer

🚀 LinkedIn Video to MP4 Automation with Google Drive & Sheets | RapidAPI Integration This n8n workflow automatically converts LinkedIn video URLs into downloadable MP4 files using the LinkedIn Video Downloader API, uploads them to Google Drive with public access, and logs both the original URL and Google Drive link into Google Sheets. It leverages the LinkedIn Video Downloader service for fast and secure video extraction. 📝 Node Explanations (Single-Line) 1️⃣ On form submission → Captures LinkedIn video URL from the user via a web form. 2️⃣ HTTP Request → Calls LinkedIn Video Downloader to fetch downloadable MP4 links. 3️⃣ If → Checks for API errors and routes workflow accordingly. 4️⃣ Download mp4 → Downloads the MP4 video file from the API response URL. 5️⃣ Upload To Google Drive → Uploads the downloaded MP4 file to Google Drive. 6️⃣ Google Drive Set Permission → Makes the uploaded file publicly accessible. 7️⃣ Google Sheets → Logs successful conversions with LinkedIn URL and sharable Drive link. 8️⃣ Wait → Delays execution before logging failed attempts. 9️⃣ Google Sheets Append Row → Logs failed video downloads with N/A Drive link. 📄 Google Sheets Columns URL** → Original LinkedIn video URL entered in the form. Drive_URL** → Publicly sharable Google Drive link to the converted MP4 file. (For failed downloads) → Drive_URL will display N/A. 💡 Use Case Automate LinkedIn video downloading and sharing using LinkedIn Video Downloader for social media managers, marketers, and content creators without manual file handling. ✅ Benefits Time-saving* (auto-download & upload), *Centralized tracking* in Sheets, *Easy sharing* via Drive links, and *Error logging* for failed downloads—all powered by *RapidAPI LinkedIn Video Downloader**. An n8n automation workflow template by Sk developer.

By Marth - Business Automation

⚙ How It Works The automated blacklist monitor is designed to be a proactive, not reactive, tool. Here is the high-level process: Scheduled Checks: At regular intervals (e.g., every 30 minutes or every hour), a monitoring script or service sends a request to a list of predefined DNS blacklists (DNSBLs) and real-time blackhole lists (RBLs). Lookup Queries: For each check, the system performs a lookup query for our specified domains and IP addresses against the various blacklists. It essentially asks, "Is our-ip-address.com on your list?" Status Evaluation: The blacklist service responds with a status: either the asset is clean or it is listed. Alerting Mechanism: If a new listing is detected, the system immediately triggers a notification. This alert contains key information like the asset that was blacklisted (domain or IP), the specific blacklist it was found on (e.g., Spamhaus), and the time of detection. Status Logging: The status of each asset (clean or listed) is logged in a central dashboard. This allows us to track the history of an IP or domain, see when a listing occurred, and when it was resolved. Setup Steps Follow these steps to set up the automated blacklist monitor. Select a Service: Choose a reliable blacklist monitoring service. Services like MXToolBox, HetrixTools, or Uptime Robot (with custom checks) are popular options. Create an Account: Sign up and create an account for your organization on the chosen platform. Add Monitored Assets: Navigate to the "Monitors" or "Assets" section within the service's dashboard. Add all of the following: Your primary domain names (e.g., yourcompany.com). All outbound mail server IP addresses. Any other publicly facing IP addresses associated with your business. Configure Notification Channels: Set up how and where you want to receive alerts. The best practice is to configure multiple channels for redundancy: Email: Send alerts to a group alias like security@yourcompany.com or it-alerts@yourcompany.com. Chat/IM: Integrate with a communication tool like Slack or Microsoft Teams and create a dedicated channel (e.g., #blacklist-alerts). Ticketing System: Configure the service to automatically open a ticket in your help desk software (e.g., Jira, ServiceNow) when a new listing is found. Set Up Check Frequency: Configure how often you want the system to perform checks. A frequency of every 15 to 30 minutes is a good starting point for a high-priority service like email. Create a Runbook: A runbook is a document that outlines the steps to take when an alert is received. Create and share a runbook with your team that includes: Confirmation: How to verify the listing. Investigation: Initial steps to find the root cause (e.g., checking mail logs for spam). Delisting: How to submit a delisting request to the specific blacklist provider. Initial Testing: Once everything is configured, perform a manual check to ensure the system is working and that all notification channels are active. You can often do this with a "test check" button within the monitoring service's dashboard. An n8n automation workflow template by Marth - Business Automation.

By Nasser

For Who? Content Creators Youtube Automation Marketing Team How it works? 1 - Enter the video ID (in Edit Field Node) you want to use as a base to create Short Form videos 2 - Use yt-transcript-api (self-hosted on docker) to retrieve the transcript of the video 3 - Format the transcript to be usable by an LLM 4 - LLM select clips based on specific rules (prompt customizable) 5 - Split out the selected Clips and perform a loop for each Clip 6 - Use yt-clip-api (self-hosted on docker) to edit the video in ready-to-use Short Form videos What you get? 🧩 Copy-Paste Setup – You’ll get a straightforward, easy-to-follow system with clear instructions, even with minimal technical skills. 🎛️ Built-in Customization Guide – The documentation includes a dedicated section to help you easily adjust the system to your own channel, video style, or workflow needs. 💬 Full Personalized Support – I’ll personally help you until the workflow is fully running on your side. ++System Cost to run++: $0 ++Time to Setup++: 20-40min (depending on your experience) ⚠️ PRE-REQUISITES Before purchasing, please make sure you meet the following requirements: The YouTube channel you want to clip includes face-cam + screen recording (like on my videos). You have basic knowledge of code (enough to follow simple setup instructions). You can also use AI to help you 😉 👨‍💻 More Workflows : https://n8n.io/creators/nasser/. An n8n automation workflow template by Nasser.

By Arlin Perez

Make your n8n instance faster, cleaner, and more efficient by deleting old workflow executions — while keeping only the most recent ones you actually need. Whether you're using n8n Cloud or self-hosted, this lightweight workflow helps reduce database/storage usage and improves UI responsiveness, using only official n8n nodes. 🔍 Description Automatically clean up old executions in your n8n instance using only official nodes — no external database queries required. Whether you're on the Cloud version or running self-hosted, this workflow helps you optimize performance and keep your instance tidy by maintaining only the most recent executions per workflow. Ideal for users managing dozens or hundreds of workflows, this solution reduces storage usage and improves the responsiveness of the n8n UI, especially in environments where execution logs can accumulate quickly. ✅ What It Does Retrieves up to 250 recent executions across all workflows Groups executions by workflow Keeps only the most recent N executions per workflow (value is configurable) Deletes all older executions (regardless of their status: success, error, etc.) Works entirely with native n8n nodes — no external database access required Optionally: set the number of executions to keep as 0 to delete all past executions from your instance in a single run 🛠️ How to Set Up 🔑 Create a Personal API Key in your n8n instance: Go to Settings → API Keys → Create a new key 🔧 Create a new n8n API Credential (used by both nodes): In your n8n credentials panel: Name: anything you like (e.g., “Internal API Access”) API Key: paste the Personal API Key you just created Base URL: your full n8n instance URL with the /api/v1 path, e.g. https://your-n8n-instance.com/api/v1 ✅ Use this credential in both: The Get Many Executions node (to fetch recent executions) The Delete Many Executions node (to remove outdated executions) 🧩 In the “Set Executions to Keep” node: Edit the variable executionsToKeep and set the number of most recent executions to retain per workflow (e.g. 10) Tip: Set it to 0 to delete all executions 📦 Note: The “Get Many Executions” node will retrieve up to 250 executions per run — this is the maximum allowed by the n8n API. 🧠 No further setup is required — the filtering and grouping logic is handled inside the Code Node automatically. 🧪 Included Nodes Overview 🕒 Schedule Trigger → Set to run daily, weekly, etc. 📥 Get Many Executions → Fetches past executions via n8n API 🛠️ Set Executions to Keep → Set how many recent ones to keep 🧠 Code Node → Filters out executions to delete per workflow 🗑️ Delete Executions → Deletes outdated executions 💡 Why Use This? Reduce clutter and improve performance in your n8n instance Maintain execution logs only when they’re useful Avoid bloating your storage or database with obsolete data Compatible with both n8n Cloud and self-hosted setups Uses only official, supported n8n nodes — no SQL, no extra setup 🔒 This workflow modifies and deletes execution data. Always review and test it first on a staging instance or on a limited set of workflows before using it in production. An n8n automation workflow template by Arlin Perez.

By Khairul Muhtadin

Turn plain-language video ideas into ready-to-use Veo 3 JSON prompts. This workflow takes your free-text prompt, refines it with Langchain AI and Google Gemini, and returns structured JSON tuned for Veo 3 video generation. No manual formatting, no guessing parameters. Last updated: September 2026. Why Use Prompt Converter? Save time: Complex video prompts become structured JSON automatically. No more manual formatting headaches. Avoid guesswork: Vague ideas turn into detailed, cinematic descriptions that match Veo 3 specs. Improve output quality: Every parameter is optimized for Veo 3, so results look realistic and stunning. Gain a creative edge: Rough concepts become vivid video prompts with AI enhancement. Perfect For Video creators: Developers and creators who want quick, precise prompt formatting without coding. AI enthusiasts: Hobbyists and developers exploring Langchain and Google Gemini for media generation. Marketing teams: Professionals making video ads or visuals with consistent, time-saving prompt structuring. How It Works Trigger:** You submit a free-text prompt via message or webhook. Process:** An AI model reads your text and reworks it into detailed JSON parameters for Veo 3. Smart Logic:** Langchain nodes add cinematic detail, set sensible defaults, and structure the data. Output:** The refined JSON prompt goes to Google Gemini for video generation with optimized settings. Quick Setup Import the JSON file to your n8n instances Add credentials: Azure OpenAI, Gemini API (AI Studio docs), OpenRouter API Customize: Adjust prompt templates or default parameters in the Prompt converter node Test: Run your workflow with sample text prompts to see videos come to life You'll Need Active n8n instances Azure OpenAI API Gemini API Key OpenRouter API (alternative AI option) Level Up Ideas Add integration with video hosting platforms to auto-upload generated videos Nodes Used Prompt Input** (Chat Trigger) OpenAI** (Azure OpenAI GPT model) Alternative** (OpenRouter API) Prompt converter** (Langchain chain LLM for JSON conversion) JSON parser** (structured output extraction) Generate a video** (Google Gemini video generation) Quick Answers How do I submit a prompt? Send free text through a message or a webhook call. What do I get back? Structured JSON parameters tuned for Veo 3, ready for video generation. Which AI services are involved? Azure OpenAI, Google Gemini, and optionally OpenRouter. Made by: khmuhtadin Tags: video generation, AI, Langchain, automation, Google Gemini Category: Video Production Need custom work? Contact me Additional info Built with n8n. Need an assessment on your business? Feel free to reach out at https://khmuhtadin.com/consultation/. An n8n automation workflow template by Khairul Muhtadin.

By Einar César Santos

🧠 Long-Term Memory System for AI Agents with Vector Database Transform your AI assistants into intelligent agents with persistent memory capabilities. This production-ready workflow implements a sophisticated long-term memory system using vector databases, enabling AI agents to remember conversations, user preferences, and contextual information across unlimited sessions. 🎯 What This Template Does This workflow creates an AI assistant that never forgets. Unlike traditional chatbots that lose context after each session, this implementation uses vector database technology to store and retrieve conversation history semantically, providing truly persistent memory for your AI agents. 🔑 Key Features Persistent Context Storage**: Automatically stores all conversations in a vector database for permanent retrieval Semantic Memory Search**: Uses advanced embedding models to find relevant past interactions based on meaning, not just keywords Intelligent Reranking**: Employs Cohere's reranking model to ensure the most relevant memories are used for context Structured Data Management**: Formats and stores conversations with metadata for optimal retrieval Scalable Architecture**: Handles unlimited conversations and users with consistent performance No Context Window Limitations**: Effectively bypasses LLM token limits through intelligent retrieval 💡 Use Cases Customer Support Bots**: Remember customer history, preferences, and previous issues Personal AI Assistants**: Maintain user preferences and conversation continuity over months or years Knowledge Management Systems**: Build accumulated knowledge bases from user interactions Educational Tutors**: Track student progress and adapt teaching based on history Enterprise Chatbots**: Maintain context across departments and long-term projects 🛠️ How It Works User Input: Receives messages through n8n's chat interface Memory Retrieval: Searches vector database for relevant past conversations Context Integration: AI agent uses retrieved memories to generate contextual responses Response Generation: Creates informed responses based on historical context Memory Storage: Stores new conversation data for future retrieval 📋 Requirements OpenAI API Key**: For embeddings and chat completions Qdrant Instance**: Cloud or self-hosted vector database Cohere API Key**: Optional, for enhanced retrieval accuracy n8n Instance**: Version 1.0+ with LangChain nodes 🚀 Quick Setup Import this workflow into your n8n instance Configure credentials for OpenAI, Qdrant, and Cohere Create a Qdrant collection named 'ltm' with 1024 dimensions Activate the workflow and start chatting! 📊 Performance Metrics Response Time**: 2-3 seconds average Memory Recall Accuracy**: 95%+ Token Usage**: 50-70% reduction compared to full context inclusion Scalability**: Tested with 100k+ stored conversations 💰 Cost Optimization Uses GPT-4o-mini for optimal cost/performance balance Implements efficient chunking strategies to minimize embedding costs Reranking can be disabled to save on Cohere API costs Average cost: ~$0.01 per conversation 📖 Learn More For a detailed explanation of the architecture and implementation details, check out the comprehensive guide: Long-Term Memory for LLMs using Vector Store - A Practical Approach with n8n and Qdrant 🤝 Support Documentation**: Full setup guide in the article above Community**: Share your experiences and get help in n8n community forums Issues**: Report bugs or request features on the workflow page Tags: #AI #LangChain #VectorDatabase #LongTermMemory #RAG #OpenAI #Qdrant #ChatBot #MemorySystem #ArtificialIntelligence. An n8n automation workflow template by Einar César Santos.

By Stephan Koning

I built this tool because we faced a real, recurring problem: managing hundreds of client projects in a weekly automated loop. There was a time when a single error in that process could create a complete data mess, forcing us to manually clean and re-run everything. The Item Tracker was our solution. It proved that something simple, when used correctly, can be a game-changer for maintaining order and reliability in your workflows (at least it was for us). How the System Works: A Story of Order from Chaos Our main automation, which fetches and summarizes data, is where the heavy lifting happens. But its newfound stability comes from a simple, critical collaboration with the Item Tracker. It's like a two-step handshake that happens for every single project. Our main workflow starts by getting a long list of active projects. For each project, it first asks the Item Tracker: "Is this one already being worked on?" If the answer is no, the Item Tracker immediately puts a temporary "in-progress" note on the project Once our main workflow successfully completes its task for that project, it tells the Item Tracker to remove the "in-progress" note and set a "completed" note. This simple process is our safety net. If a task fails, that "in-progress" note will eventually disappear, allowing the system to confidently pick up and re-run only that specific item later. ++This saves us from having to start the entire job over from scratch.++ Key Components & Their Purpose Main Workflow:** This is the primary automation that does the heavy lifting, like getting a list of projects and connecting to HubSpot. Item Tracker Utility:** The smart part of the system. This separate tool keeps a simple record of what each project's status is at any given moment. Redis Database:** This is the fast, central hub where all of the Item Tracker's notes are stored. It's the engine that makes the entire system reliable. The Item Tracker in Action: Your Digital To-Do List For beginners, the names of the tracking notes (called "keys") might seem confusing, but the idea is actually simple. Imagine a digital to-do list for every project. A key is just the project's name on that list. Every key has three parts that tell you everything you need to know: The Group:** The first part groups all similar items together, like all your HubSpot projects. The ID:** The middle part is the project's unique ID, so you know exactly which project you're talking about. The Status:** The last part is a simple word that shows its status, like in_progress or completed. This simple naming system is the secret to keeping hundreds of projects organized, so you can easily see what's happening and what needs attention. Overall Business Value This solution directly addresses the pain of large-scale automation failures. It gave us a new level of confidence in our automated processes. Instead of facing the chaos of a messy run, this system provides immediate visibility into which project failed and why. It eliminates the need for manual cleanup and allows us to confidently re-run a specific item without risking data corruption across the entire set. The result is a highly reliable and scalable process that saves time, reduces frustration, and maintains data integrity. An n8n automation workflow template by Stephan Koning.

By Gerald Denor

The Ultimate AI Workflow for YouTube Community Posts (with Dynamic Images) Product Description: Is your YouTube Community tab collecting dust? You've probably noticed that while you can schedule videos, there's a massive gap in automation: almost no tools or templates can automatically create content for your YouTube Community Posts. You are leaving a huge amount of engagement, audience connection, and growth on the table.* This n8n workflow is engineered to solve this exact problem. It doesn't just create posts for you; it acts as your personal AI content strategist, creating high-quality, engaging Community Posts with perfectly matched images, every single day. ✨ Next-Level Automation: Dynamic Image Generation What makes this workflow truly unique? It doesn't just use a generic, pre-written prompt for your images. It features a two-step AI process: First, the AI writes the text for your Community Post based on the day's theme. Then, it reads its own writing to generate a brand new, highly specific image prompt that perfectly matches the post's content. This means you get unique, incredibly relevant images for every single post, not just generic visuals. It's the difference between custom-tailored content and off-the-shelf templates. 🚀 Core Features & Benefits Dynamic AI Image Generation: Creates a unique, perfectly matched image for every post by analyzing the generated text first. AI-Powered Copywriting: Automatically writes high-quality text in a customizable voice (pre-configured for a direct, "Alex Hormozi" style) that gets your audience talking. Built-in 7-Day Content Strategy: Never run out of ideas. The workflow uses daily themes like 'How-to Tutorials', 'Audience Q&A', and 'Industry News' to keep your content calendar full and engaging. Automated Content Dashboard: Organizes every generated post—including text, the dynamic image prompt, the final image URL, and character count—into a Google Sheet for easy review and management. Set-and-Forget Scheduling: Runs on a fully automated daily schedule, ensuring you maintain rock-solid consistency without any manual effort. 💡 Why Is This a Game-Changer? Most creators ignore the Community tab because it's too much work. By automating it intelligently, you will: Save Hours of Creative Work: Stop the daily grind of brainstorming, writing, and designing posts. Dramatically Boost Engagement: Keep your audience hooked between video uploads with fresh, interactive content. Build a Stronger Community: Use the tab for its intended purpose—building a loyal following that feels connected to your brand. Stop neglecting the most powerful engagement tool on YouTube. Get this workflow and put your community growth on true autopilot.* Part 2: Configuration Guide ⚙️ Configuration Guide: YouTube Community Post Automation Follow these steps to get your powerful new content engine set up and running. 1. Prerequisites Before you start, make sure you have accounts and API keys for the following services: An active n8n instance (Cloud or self-hosted). A Google account. OpenRouter (for text generation). Together AI (for image generation). 2. Set Up Your Credentials in n8n This workflow requires three credentials. Add them in your n8n dashboard under Credentials > Add credential. Google Sheets: Search for the Google Sheets credential and follow the steps to connect your Google account. OpenRouter API Key: Select credential type: Header Auth. Credential Name: OpenRouter API Key Header Name: Authorization Header Value: Bearer YOUR_OPENROUTER_API_KEY Together AI API Key: Select credential type: Header Auth. Credential Name: Together AI API Key Header Name: Authorization Header Value: Bearer YOUR_TOGETHER_AI_API_KEY 3. Configure the Workflow Nodes Open the workflow and connect your accounts. Node: "Add to Google Sheets" Select your Google Sheets Credential. Paste in your Spreadsheet ID (from the sheet's URL). Enter the Sheet Name (the name of the tab). Nodes: "DeepSeek R1 Model" & "Generate Image - Together AI" On the "DeepSeek R1 Model" node, select your "OpenRouter API Key" credential. On the "Generate Image - Together AI" node, select your "Together AI API Key" credential. **4. Customize Your Content (Optional but Recommended) Edit Daily Themes:** Open the "Set Day Variables" node. In the contentMap, you can edit the type and theme for each day of the week. (You no longer need to set an image prompt here!) Change the AI's Writing Style: Open the "Generate Content - LLM Chain" node. Edit the System Message to change the personality, tone, and rules the AI follows when writing your posts. Refine the Image Prompting Style: Open the "Generate Dynamic Image Prompt" node. You can edit the prompt here to change how the AI creates the image prompts. For example, you could add "in a photorealistic style" or "as a vector illustration" to influence the final images. 5. Set Your Schedule Open the "Daily 10AM EST Trigger" node. Adjust the Cron Expression to change the time or frequency. Use crontab.guru to help create your desired schedule. Note: The schedule runs based on your n8n instance's timezone, which can be set in your main n8n Settings. 6. Activate Your Workflow! ✅ Once configured, click the "Active" toggle at the top right. Congratulations, your automated content engine is now live!. An n8n automation workflow template by Gerald Denor.

By Abrar Sami

How it works Fetches a blog post HTML from your blog URL using an HTTP request node Extracts readable content using Cheerio (code node) Saves the raw blog text to Airtable Translates the content to a language of your choice using Google Translate Updates the same Airtable record with the translated version in a different column Set up steps Estimated setup time:** 15–20 minutes (includes connecting Airtable and Google Translate credentials) You’ll need an Airtable base with HTML and TRANSLATED fields Or use this pre-made base: Airtable Template Simply add your blog post URL inside the HTTP Request node. An n8n automation workflow template by Abrar Sami.