Browse 13,012 Workflows

By Kai S. Huxmann

What Most People Miss When Using Switch Nodes (and How to Fix It) Switch Node Best Practice The Switch node is powerful — but easy to misconfigure. Without a proper fallback, things can silently break. 🧨 Common pitfalls: The value is null or undefined due to earlier workflow errors Case mismatches ("Yes" vs "yes") Type mismatches (3 as number vs "3" as string) Forgotten or outdated conditions ➡️ Best Practice: Always enable the “Fallback” option and connect it to an Error or Notify node. This ensures misrouted executions don't silently fail — they alert you instead. Protect your workflow logic, and save yourself hours of debugging. 🛠️ 🚧 Reminder If you run this workflow it fails by design — this is the intended behaviour as explained above. Change the Dummy Data Node to one of the valid values to make it succeed. An n8n automation workflow template by Kai S. Huxmann.

By Kai S. Huxmann

How to secure GET Webhooks? What are webhooks? Webhooks are special URLs that instantly trigger workflows when they receive an incoming HTTP request (like GET or POST). They're perfect for connecting external tools to n8n in real time. 🔐 Why webhooks should be protected Unprotected webhooks are publicly accessible on the internet — anyone with the link can trigger your workflow. This can lead to spam, unwanted requests, or even data loss. ✅ Best Practice: Use built-in Authentication n8n provides native authentication options for webhook nodes: Basic Auth Header Auth JWT Auth These methods are highly recommended if supported by your external app or service. You can find them in the “Authentication” dropdown of the webhook node. 🛠️ When to use THIS SETUP Sometimes, external tools don’t support custom headers or advanced auth methods — for example: A button click in Google Sheets A link shared via email or chat with a trusted partner IoT devices or basic web apps In those cases, you can protect a webhook by adding a secret query parameter (e.g. ?secret=abc123xyz456...) and validating it with an IF node at the start of your workflow. This way, only those requests with the secret can trigger the core elements of your workflow. It's a simple yet powerful way to secure GET-based workflows. Only use if better methods aren't available. An n8n automation workflow template by Kai S. Huxmann.

By Jitesh Dugar

1. Who's It For HR teams managing multiple new hires monthly. Small-to-medium businesses automating onboarding processes. Companies wanting consistent onboarding experiences. Remote-first teams needing streamlined provisioning. Growing startups scaling their hiring operations. Organizations seeking data-driven onboarding insights. 2. How It Works Captures new hire data via Jotform (name, email, position, department, start date). Extracts employee information including IT requirements and preferences. Analyzes role with AI Agent (GPT-4o-mini) for intelligent profiling. Determines priority level: standard, high, or executive. Generates personalized onboarding goals and training recommendations. Routes executive hires to HR alert path for VIP treatment. Sends welcome email to new employee with personalized plan. Notifies manager with prep checklist and onboarding goals. Creates IT setup request with hardware and software requirements. Logs all data to Google Sheets for tracking and analytics. Offers: AI-powered planning, smart routing, automated notifications, centralized tracking. 3. How to Set Up 1. Create Jotform with required fields (employee name, email, position, department, start date, manager, laptop type, experience level). 2. Import workflow JSON to n8n via Workflows → Import from File. 3. Add credentials: Jotform API, OpenAI API, Gmail OAuth2, Google Sheets. 4. Update Jotform Trigger node with your form ID. 5. Configure Extract Onboarding Data node field mappings to match your form. 6. Add OpenAI API key to OpenAI Chat Model node. 7. Update email addresses in Gmail nodes (welcome email, manager notification, IT request, HR alert). 8. Create Google Sheet with columns matching the Log to Database node. 9. Connect Google Sheets node to your spreadsheet. 10. Customize AI Agent system prompt for your company culture. 11. Test workflow with sample Jotform submission. 12. Activate workflow and monitor executions. Requirements n8n instance (cloud or self-hosted with LangChain support). Credentials: Jotform API key, OpenAI API key, Gmail OAuth2, Google Sheets access. Jotform account for employee onboarding forms. Google Workspace for email and spreadsheet integration. OpenAI API credits (~$0.01-0.03 per employee with gpt-4o-mini). Core Features AI-Powered Analysis: Intelligent role assessment and priority classification. Smart Routing: Executive hires get VIP treatment with HR alerts. Personalized Welcome Emails: Customized onboarding plans with goals and training. Manager Preparation: Automated prep checklist with employee details and expectations. IT Provisioning: Detailed setup requests with hardware and software needs. Database Logging: Complete audit trail in Google Sheets for analytics. Flexible Configuration: Easy customization for different company needs. Scalable Processing: Handles unlimited onboarding submissions automatically. Use Cases & Applications HR Departments: Automate repetitive onboarding tasks for all new hires. Remote Companies: Streamline equipment shipping and virtual onboarding. Fast-Growing Startups: Scale hiring without increasing HR headcount. IT Teams: Reduce equipment provisioning turnaround time. Managers: Get standardized prep instructions for every new team member. Executive Hiring: VIP onboarding path for leadership positions. Key Benefits Time Savings: 15+ hours saved per hire on manual coordination. Consistency: Every employee gets the same high-quality onboarding experience. Personalization: AI tailors plans based on role, department, and experience. Visibility: Real-time tracking of all onboarding activities in one place. Scalability: Handle 1 or 100 hires per month with zero additional effort. Compliance: Ensure all required steps are completed and documented. Employee Experience: New hires feel welcomed and prepared from day one. Data Insights: Track onboarding metrics and identify improvement areas. Customization Options Adjust AI priority classification logic for your org structure. Add custom fields to Jotform (team size, remote/office, security clearance). Modify email templates with company branding and messaging. Create department-specific onboarding workflows. Add Slack notifications for real-time alerts. Integrate with HRIS systems via HTTP Request nodes. Build custom reporting dashboards from Google Sheets data. Add follow-up sequences (day 7, day 30, day 90 check-ins). Include document signing workflows (offer letters, NDAs). Schedule calendar events automatically for first day and orientations. Important Disclaimers Requires n8n with LangChain support for AI Agent functionality. Test thoroughly before deploying to production onboarding. Ensure GDPR/CCPA compliance when collecting employee data. Monitor OpenAI API costs based on monthly hiring volume. Verify email deliverability and avoid spam filters. Keep employee data secure with proper access controls. Review AI-generated content for accuracy and appropriateness. Customize for your specific company policies and culture. Backup Google Sheets data regularly for compliance. Update manager and IT team email addresses before activation. An n8n automation workflow template by Jitesh Dugar.

By Jaures NYA

Who’s it for This automation template is designed for content creators, social media managers, and automation enthusiasts who want to automatically scrape X (Twitter) posts with images and publish them directly to a Telegram channel — without writing a single line of code. With this workflow, you can keep your Telegram community constantly updated with the latest tweets from any account. It collects, cleans, and shares content in a fully automated cycle. How It Works Trigger – Start scraping from a specific X (Twitter) account using its unique ID and username. Fetch Data – The workflow calls the Twitter API (or a scraping endpoint) to gather recent tweets. Format & Filter – Extracts key fields (author name, username, text, URL, creation date, images, video) and keeps only tweets containing text and at least one image. Remove Duplicates – Ensures no tweet is processed or posted twice. Save to Google Sheets – Stores cleaned tweet data for backup and future use. Clean Text – Removes unwanted links and hashtags for a polished message. Loop & Publish – Sends each tweet (text + image) to your Telegram channel. Delay – Waits 3 minutes between each post to prevent spamming. How to Use Enter the Twitter ID and username of the target account. Connect your Google Sheets account to store scraped tweets. Connect your Telegram bot and specify the channel for publication. Run the workflow — tweets will be automatically scraped, filtered, saved, and posted to Telegram. Requirements A valid Twitter API connection or alternative scraping endpoint. A Google Sheet to store tweet data. A Telegram Bot linked to your channel. n8n (or any compatible automation platform) to run the workflow. Need help Contact me for consulting and support: LinkedIn / YouTube. An n8n automation workflow template by Jaures NYA.

By Guillaume Duvernay

Create truly authoritative articles that blend your unique, internal expertise with the latest, most relevant information from the web. This template orchestrates an advanced "hybrid research" content process that delivers unparalleled depth and credibility. Instead of a simple prompt, this workflow first uses an AI planner to deconstruct your topic into key questions. Then, for each question, it performs a dual-source query: it searches your trusted Lookio knowledge base for internal facts and simultaneously uses Linkup to pull fresh insights and sources from the live web. This comprehensive "super-brief" is then handed to a powerful AI writer to compose a high-quality article, complete with citations from both your own documents and external web pages. 👥 Who is this for? Content Marketers & SEO Specialists:** Scale the creation of authoritative content that is both grounded in your brand's facts and enriched with timely, external sources for maximum credibility. Technical Writers & Subject Matter Experts:** Transform complex internal documentation into rich, public-facing articles by supplementing your core knowledge with external context and recent data. Marketing Agencies:** Deliver exceptional, well-researched articles for clients by connecting the workflow to their internal materials (via Lookio) and the broader web (via Linkup) in one automated process. 💡 What problem does this solve? The Best of Both Worlds:** Combines the factual reliability of your own knowledge base with the timeliness and breadth of a web search, resulting in articles with unmatched depth. Minimizes AI "Hallucinations":** Grounds the AI writer in two distinct sets of factual, source-based information—your internal documents and credible web pages—dramatically reducing the risk of invented facts. Maximizes Credibility:* Automates the inclusion of source links from *both** your internal knowledge base and external websites, boosting reader trust and demonstrating thorough research. Ensures Comprehensive Coverage:** The AI-powered "topic breakdown" ensures a logical structure, while the dual-source research for each point guarantees no stone is left unturned. Fully Automates an Expert Workflow:** Mimics the entire process of an expert research team (outline, internal review, external research, consolidation, writing) in a single, scalable workflow. ⚙️ How it works This workflow orchestrates a sophisticated, multi-step "Plan, Dual-Research, Write" process: Plan (Decomposition): You provide an article title and guidelines via the built-in form. An initial AI call acts as a "planner," breaking down the main topic into an array of logical sub-questions. Dual Research (Knowledge Base + Web Search): The workflow loops through each sub-question and performs two research actions in parallel: It queries your Lookio assistant to retrieve relevant information and source links from your uploaded documents. It queries Linkup to perform a targeted web search, gathering up-to-date insights and their source URLs. Consolidate (Brief Creation): All the retrieved information—internal and external—is compiled into a single, comprehensive research brief for each sub-question. Write (Final Generation): The complete, source-rich brief is handed to a final, powerful AI writer (e.g., GPT-5). Its instructions are clear: write a high-quality article based only on the provided research and integrate all source links as hyperlinks. 🛠️ Setup Set up your Lookio assistant: Sign up at Lookio, upload your documents to create a knowledge base, and create a new assistant. In the Query Lookio Assistant node, paste your Assistant ID in the body and add your Lookio API Key for authentication (we recommend a Bearer Token credential). Connect your Linkup account: In the Query Linkup for AI web-search node, add your Linkup API key for authentication (we recommend a Bearer Token credential). Linkup's free plan is very generous. Connect your AI provider: Connect your AI provider (e.g., OpenAI) credentials to the two Language Model nodes. Activate the workflow: Toggle the workflow to "Active" and use the built-in form to generate your first hybrid-research article! 🚀 Taking it further Automate Publishing:* Connect the final *Article result* node to a *Webflow* or *WordPress** node to automatically create draft posts in your CMS. Generate Content in Bulk:* Replace the *Form Trigger* with an *Airtable* or *Google Sheet** trigger to generate a batch of articles from your content calendar. Customize the Writing Style:* Tweak the system prompt in the final *New content - Generate the AI output** node to match your brand's tone of voice, prioritize internal vs. external sources, or add SEO keywords. An n8n automation workflow template by Guillaume Duvernay.

By Toshiya Minami

Title Prioritize Todoist tasks and send a daily summary to Slack Who’s it for Busy professionals, team leads, and freelancers who want a plug-and-play, AI-assisted morning briefing that turns messy task lists into a clear, actionable plan. What it does / How it works At 08:00 every morning, the workflow pulls open tasks from Todoist. An AI agent scores and ranks them by urgency, importance, dependencies, and effort, then produces a concise plan. You receive the summary in Slack (Markdown). Overdue or critical items are highlighted with warnings. How to set up Connect OAuth for Todoist and Slack. Select your posting channel in Send to Slack. Adjust the time in Morning Schedule Trigger (default 08:00). Run once to verify the parser output and Slack preview, then set the workflow Active. Requirements n8n (cloud or self-hosted) Todoist account / Slack workspace LLM provider connected in the AI node (do not hardcode keys in HTTP nodes) How to customize the workflow Edit the prompt in AI Task Analyzer to tweak prioritization rules. Adjust Format AI Summary to match your tone and structure. Add filters in the Todoist node (e.g., due today). (Optional) Log results to Google Sheets or a database for analytics. Disclaimer (community node) This template uses a community LangChain node for AI features and is intended for self-hosted n8n. Add a workflow image at the top of your submission page for a clearer preview. An n8n automation workflow template by Toshiya Minami.

By Jitesh Dugar

1. Who's It For Conference organizers managing 500+ attendee tech/business events. Trade show managers needing networking automation. Professional associations running industry gatherings. Startup/investor event planners for demo days and mixers. Corporate event teams organizing all-hands and offsites. Continuing education coordinators for professional development. 2. How It Works Captures registrations via Webhook/Jotform from event forms. Extracts attendee data (name, email, company, goals, interests). Profiles attendees with AI Agent (GPT-4o) for persona classification. Scores engagement, influence, connection value (0-100 each). Identifies networking objectives and ideal connections. Recommends personalized sessions with relevance scoring. Generates 5 conversation starters per attendee. Routes by type: VIP/Speaker/Sponsor → Team alert + VIP email. First-timers get buddy assignment and orientation guide. Standard attendees receive personalized confirmation. Logs all data to Google Sheets with scores and personas. Tracks: registration ID, persona, scores, goals, dietary needs. Offers: AI profiling, smart routing, personalized emails, analytics. 3. How to Set Up 1. Create registration form with required fields (name, email, company, title, goals, interests). 2. Import workflow JSON to n8n via Workflows → Import. 3. Add credentials: OpenAI API, Gmail OAuth2, Google Sheets. 4. Configure Webhook Trigger or Jotform Trigger node. 5. Copy webhook URL and add to form platform (POST method). 6. Customize AI Agent prompt with your event details (name, dates, sessions). 7. Update email templates with branding and event information. 8. Create Google Sheet with columns: registration_id, attendee_name, email, company, persona, scores. 9. Set team alert email in "Alert Event Team (VIP)" node. 10. Test with sample registration to verify flow. 11. Activate workflow and monitor executions. Requirements n8n instance (cloud or self-hosted). Credentials: OpenAI API key, Gmail OAuth2, Google Sheets access. Event registration form (Jotform, Typeform, Google Forms, etc.). Google Sheet for attendee database. Email account for sending confirmations and alerts. Core Features AI Persona Classification: Founder, investor, executive, tech professional, vendor, consultant, job seeker, student. Multi-Dimensional Scoring: Engagement (0-100), influence (0-100), connection value (0-100), openness (0-100). Intelligent Session Matching: AI-powered recommendations with relevance scores and reasoning. Smart Routing: Personalized experience by attendee type (VIP/First-Timer/Standard). Conversation Starters: 5 personalized ice-breakers per attendee. Automated Alerts: Email notifications to event team for VIP registrations. Database Logging: Complete attendee profiles stored in Google Sheets. Welcome Automation: Personalized emails with event details and tips. Use Cases & Applications Tech Conferences: Automate 500+ attendee profiling and networking. Trade Shows: Match exhibitors with qualified prospects. Professional Events: Connect members based on complementary goals. Investor Meetups: Pair founders with relevant investors. Corporate Events: Facilitate internal networking and team building. Hybrid Events: Personalize experience for in-person and virtual attendees. Key Benefits Efficiency: 80% reduction in manual registration processing. Personalization: 100% customized experience at scale. Networking ROI: 3x more meaningful connections vs random networking. Attendee Satisfaction: 90% satisfaction with personalized agendas. Real-Time Insights: Instant attendee intelligence for on-site adjustments. Revenue Impact: Higher ticket sales, sponsor retention, lower refunds. Scalability: Handles unlimited registrations with consistent quality. Data-Driven: Measurable networking outcomes and ROI tracking. Customization Options Adjust AI scoring criteria in AI Agent prompt. Edit email templates with your branding and messaging. Add custom attendee fields (company size, budget, timeline). Modify persona classifications for your industry. Change routing logic for different attendee segments. Integrate CRM via HTTP Request node (HubSpot, Salesforce). Add post-event follow-up sequences. Build networking matchmaking based on compatibility scores. Create custom reports with additional metrics. Add SMS notifications via Twilio integration. Important Disclaimers Test thoroughly with sample data before live event use. Verify AI profiling accuracy aligns with your event needs. Ensure GDPR/CCPA compliance with registration forms (add consent checkboxes). Monitor OpenAI API costs based on registration volume (~$0.10-0.15 per attendee). Protect attendee privacy - use secure credentials and access controls. Review and moderate AI-generated content for appropriateness. Backup attendee data regularly from Google Sheets. Set up error notifications to catch workflow failures. Customize for your specific event context - template provides foundation only. An n8n automation workflow template by Jitesh Dugar.

By Anirudh Aeran

This workflow provides a complete backend solution for building your own WhatsApp marketing dashboard. It enables you to send dynamic, personalized, and rich-media broadcast messages to an entire contact list stored in Google Sheets. The system is built on three core functions: automatically syncing your approved Meta templates, providing an API endpoint for your front-end to fetch those templates, and a powerful broadcast engine that merges your contact data with the selected template for mass delivery. Who’s it for? This template is for marketers, developers, and businesses who want to run sophisticated WhatsApp campaigns without being limited by off-the-shelf tools. It's perfect for anyone who needs to send personalized bulk messages with dynamic content (like unique images or links for each user) and wants to operate from a simple, custom-built web interface. How it works This workflow is composed of three independent, powerful parts: Automated Template Sync: A scheduled trigger runs periodically to fetch all of your approved message templates directly from your Meta Business Account. It then clears and updates an n8n Data Table, ensuring your list of available templates is always perfectly in sync with Meta. Front-end API Endpoint: A dedicated webhook acts as an API for your dashboard. When your front-end calls this endpoint, it returns a clean JSON list of all available templates from the n8n Data Table, which you can use to populate a dropdown menu for the user. Dynamic Broadcast Engine: The main webhook listens for a request from your front-end, which includes the name of the template to send. It then: Looks up the template's structure in the Data Table. Fetches all contacts from your Google Sheet. For each contact, a Code node dynamically constructs a personalized API request. It can merge the contact's name into the body, add a unique user ID to a button's URL, and even pull a specific image URL from your Google Sheet to use as a dynamic header. Sends the fully personalized message to the contact. How to set up Pre-requisite - Front-end: This workflow is a backend and is designed to be triggered by a front-end application. You will need a simple UI with a dropdown to select a template and a button to trigger the broadcast. Meta for Developers: You need a Meta App with the WhatsApp Business API configured. From your app, you will need your WhatsApp Business Account ID, a Phone Number ID, and a permanent System User Access Token. n8n Data Table: Create an n8n Data Table (e.g., named "WhatsApp Templates") with the following columns: template_name, language_code, components_structure, template_id, status, category. Google Sheet: Create a Google Sheet to store your contacts. It must have columns like Phone Number, Full Name, and for dynamic images, Marketing Image URL. Configure Credentials: -> Create an HTTP Header Auth credential in n8n for WhatsApp. Use Authorization as the Header Name and Bearer YOUR_PERMANENT_TOKEN as the value. -> Add your Google Sheets credentials. Configure Nodes: -> In both HTTP Request nodes, select your WhatsApp Header Auth credential. Update the URLs with your own Phone Number ID and WABA ID. -> In the Google Sheets node, select your credential and enter the Sheet ID. -> In all Data Table nodes, select the Data Table you created. First Run: Manually execute the "Sync Meta Templates" flow (starting with the Schedule Trigger) once to populate your Data Table with your templates. Activate: Activate all parts of the workflow. Requirements A Meta for Developers account with a configured WhatsApp Business App. A permanent System User Access Token for the WhatsApp Business API. A Google Sheets account. A front-end application/dashboard to trigger the workflow. An n8n automation workflow template by Anirudh Aeran.

By Dzaky Jaya

This n8n workflow demonstrate how to configure AI Agent for financial research purposes especially for IDX data through Sectors App API. use cases: research stock market in Indonesia. analyze the performance of companies belonging to certain subsectors or company comparing financial metrics between BBCA and BBRI providing technical analysis for certain ticker stock movement and many more all from conversational agent UI chat. Main components Input-n8nChatNative**: handling and process input from native n8n chat ui Input-TelegramBot**: handling and process input from Telegram Bot Input-WebUI(Webhook)**: handling and process input from hosted Web UI through webhook Main Agent**: processing raw user queries and delegate task to specialized agent if needed. Spec Agent - Sectors App**: make request to Sectors App API to get real time financial data listed in IDX from available endpoint Spec Agent - Web Search**: make web search from Google Grounding (Gemini API) and Tavily Search. Vector Document Processing**: process document upload from user into embedding and vector store. How it works user queries may received from multiple platform (we use three here: Telegram, hosted Web UI, and native n8n chat UI) if user also uploading document, it will process the document and store it in vector store the request send to the Main Agent to process the queries the Main Agent decide the task to delegate to Specialized Agent if nedded. the result then sent back to user based on the platform How to use You need this API: Gemini API: get it free from https://aistudio.google.com/ Tavily API: get it free from https://www.tavily.com/ Sectors App API: get it from https://sectors.app/api/ you can optionally change the model or adding fallback model to handle token request, cause it may use quite many tokens. An n8n automation workflow template by Dzaky Jaya.

By Elodie Tasia

Automatically create branded social media graphics, certificates, thumbnails, or marketing visuals using Bannerbear's template-based image generation API. Bannerbear's API is primarily asynchronous by default: this workflow shows you how to use both asynchronous (webhook-based) and synchronous modes depending on your needs. What it does This workflow connects to Bannerbear's API to generate custom images based on your pre-designed templates. You can modify text, colors, and other elements programmatically. By default, Bannerbear works asynchronously: you submit a request, receive an immediate 202 Accepted response, and get the final image via webhook or polling. This workflow demonstrates both the standard asynchronous approach and an alternative synchronous method where you wait for the image to be generated before proceeding. How it works Set parameters - Configure your Bannerbear API key, template ID, and content (title, subtitle) Choose mode - Select synchronous (wait for immediate response) or asynchronous (standard webhook delivery) Generate image - The workflow calls Bannerbear's API with your modifications Receive result - Get the image URL, dimensions, and metadata in PNG or JPG format Async mode (recommended): The workflow receives a pending status immediately, then a webhook delivers the completed image when ready. Sync mode: The workflow waits for the image generation to complete before proceeding. Setup requirements A Bannerbear account (free tier available) A Bannerbear template created in your dashboard Your API key and template ID from Bannerbear For async mode: ability to receive webhooks (production n8n instance) How to set up Get Bannerbear credentials: Sign up at bannerbear.com Create a project and design a template Copy your API key from Settings > API Key Copy your template ID from the API Console Configure the workflow: Open the "SetParameters" node Replace the API key and template ID with yours Customize the title and subtitle text Set call_mode to "sync" or "async" For async mode (recommended): Activate the "Webhook_OnImageCreated" node Copy the production webhook URL Add it to Bannerbear via Settings > Webhooks > Create a Webhook Set event type to "image_created" Customize the workflow Modify the template parameters to match your Bannerbear template fields Add additional modification objects for more dynamic elements (colors, backgrounds, images) Connect to databases, CRMs, or other tools to pull content automatically Chain multiple image generations for batch processing Store generated images in Google Drive, S3, or your preferred storage Use async mode for high-volume generation without blocking your workflow. An n8n automation workflow template by Elodie Tasia.

By AppUnits AI

This workflow streamlines your lead management process by automatically capturing form submissions from Jotform, updating Attio CRM, and notifying your team (sales team for example) via Slack — all without manual work. How it works Receive Lead: A new submission is captured from Jotform (name, email, message). Prepare CRM: Checks if the Pending and Urgent deal stages exist in Attio CRM and creates them if they don’t exist. Checks if the Message column exists in Attio CRM and creates it if it doesn't exist. Lead Handling: If the lead doesn't exist in Attio CRM, the contact is created, a new deal is added to the Pending stage, and a Slack notification is sent. If the lead exists but has no deal, a new deal is added to Pending, and Slack is notified. If the lead exists with a deal, the deal is moved to the Urgent stage, and Slack is notified. Slack Notification: Your team (sales team for example) receives an instant Slack message whenever a new or existing lead is processed, so they can act fast. Requirements Make sure to have Jotform, Attio CRM and Slack accounts, then follow this video guide on how to start using this template. An n8n automation workflow template by AppUnits AI.

By Shelly-Ann Davy

Automatically collect, analyze, and store industry news articles with intelligent filtering and dual-database storage 🎯 What This Workflow Does This comprehensive news scraping automation monitors multiple industry sources every 6 hours, intelligently extracts relevant content, analyzes it for keyword relevance, and stores high-quality articles in both a content library and knowledge base. Perfect for content marketers, researchers, industry analysts, and anyone building an AI-powered knowledge system. ✨ Key Features Multi-Source Aggregation: Collects from RSS feeds, Google News, and direct website scraping Smart Content Extraction: Uses Cheerio to parse HTML and extract clean article content AI-Ready Keyword Analysis: Automatically identifies and tags industry-specific terms Intelligent Filtering: Only stores articles meeting your relevance threshold (default: 30%) Dual Storage System: Saves to both content library (marketing) and knowledge base (AI training) Rate Limiting: Includes polite delays to respect website resources Fully Automated: Runs on schedule without manual intervention 🔧 Technical Highlights Schedule-based trigger (every 6 hours, customizable) Handles 3 content types: RSS feeds, Google News RSS, and web pages Limits to top 10 articles per source to manage volume Tracks 17+ insurance-specific keywords (easily customizable for any industry) Includes comprehensive error handling and timeout management Supabase integration (works with any REST API database) 📚 Perfect For Building AI chatbot knowledge bases Content marketing research Competitive intelligence gathering Industry trend monitoring News aggregation platforms SEO content research Market analysis and reporting 🚀 Setup Requirements n8n instance (self-hosted or cloud) Supabase account (free tier works) or any REST API database Basic understanding of JSON and HTTP requests All setup instructions included in sticky notes within the workflow! 📦 What's Included Complete workflow JSON (ready to import) 8 detailed sticky notes with beginner-friendly explanations Setup guide with step-by-step instructions Customization tips for different industries Example sources for insurance industry (easily adaptable) 🎨 Customization Options Modify schedule interval (hourly, daily, weekly) Add your own RSS feeds and websites Adjust relevance threshold Customize keyword lists for your industry Change article limits per source Modify storage destinations ⚠️ Important Notes Remember to update Supabase credentials before running Test with a single source before deploying all sources Respect website terms of service and robots.txt Consider API rate limits for your sources The workflow includes rate limiting to be respectful to websites 🏷️ Tags content-scraping rss-feeds web-scraping automation knowledge-base supabase cheerio news-aggregation content-marketing ai-training-data Version: 2.0 Last Updated: January 2025 Difficulty: Intermediate Estimated Setup Time: 30 minutes. An n8n automation workflow template by Shelly-Ann Davy.

By Hugo

🤖 n8n AI Workflow Dashboard Template Overview This template is designed to collect execution data from your AI workflows and generate an interactive dashboard for easy monitoring. It's compatible with any AI Agent or RAG workflow in n8n. Main Objectives 💾 Collect Execution Data Track messages, tokens used (prompt/completion), session IDs, model names, and compute costs Designed to plug into any AI agent or RAG workflow in n8n 📊 Generate an Interactive Dashboard Visualize KPIs like total messages, unique sessions, tokens used, and costs Display daily charts, including stacked bars for prompt vs completion tokens Monitor AI activity, analyze usage, and track costs at a glance ✨ Key Features 💬 Conversation Data Collection Messages sent to the AI agent are recorded with: sessionId chatInput output promptTokens, completionTokens, totalTokens globalCost and modelName This allows detailed tracking of AI interactions across sessions. 💰 Model Pricing Management A sub-workflow with a Set node provides token prices for LLMs Data is stored in the Model price table for cost calculations 🗄️ Data Storage via n8n Data Tables Two tables need to be created: Model price { "id": 20, "createdAt": "2025-10-11T12:16:47.338Z", "updatedAt": "2025-10-11T12:16:47.338Z", "name": "claude-4.5-sonnet", "promptTokensPrice": 0.000003, "completionTokensPrice": 0.000015 } Messages [ { "id": 20, "createdAt": "2025-10-11T15:28:00.358Z", "updatedAt": "2025-10-11T15:31:28.112Z", "sessionId": "c297cdd4-7026-43f8-b409-11eb943a2518", "action": "sendMessage", "output": "Hey! \nHow's it going?", "chatInput": "yo", "completionTokens": 6, "promptTokens": 139, "totalTokens": 139, "globalCost": null, "modelName": "gpt-4.1-mini", "executionId": 245 } ] These tables store conversation data and pricing info to feed the dashboard and calculations. 📈 Interactive Dashboard KPIs Generated**: total messages, unique sessions, total/average tokens, total/average cost 💸 Charts Included**: daily messages, tokens used per day (prompt vs completion, stacked bar) Provides a visual summary of AI workflow performance ⚙️ Installation & Setup Follow these steps to set up and run the workflow in n8n: 1. Import the Workflow Download or copy the JSON workflow and import it into n8n. 2. Create the Data Tables Model price table**: stores token prices per model Messages table**: stores messages generated by the AI agent 3. Configure the Webhook The workflow is triggered via a webhook Use the webhook URL to send conversation data 4. Set Up the Pricing Sub-workflow Automatically generates price data for the models used Connect it to your main workflow to enrich cost calculations 5. Dashboard Visualization The workflow returns HTML code rendering the dashboard View it in a browser or embed it in your interface 🌐 Once configured, your workflow tracks AI usage and costs in real-time, providing a live dashboard for quick insights. 🔧 Adaptability The template is modular and can be adapted to any AI agent or RAG workflow KPIs, charts, colors, and metrics can be customized in the HTML rendering Ideal for monitoring, cost tracking, and reporting AI workflow performance. An n8n automation workflow template by Hugo.

By octik5

🤖 This n8n workflow automatically posts new articles from an RSS feed to your Telegram channel. It enhances article text using AI, adds a branded watermark to the article image, and keeps your channel updated with fresh and consistent content. Use Cases Automatically publish RSS feed updates to Telegram. Use AI to rewrite, summarize, or stylize text. Add watermarked visuals to keep your content on-brand. Perfect for news aggregators, media channels, and content creators. How It Works RSS Trigger: Monitors an RSS feed for new articles. Check Google Sheet: Compares links to avoid reposting. Fetch Article: Retrieves the full article content for new links. AI Enhancement: Uses an AI agent to improve readability and engagement. Image Watermarking: Fetches the main image and adds a watermark. Telegram Publishing: Sends the final AI-enhanced post to your Telegram channel. Setup Steps Google Sheet:** Create and share a sheet to store processed links. RSS Source:** Add your feed URL to the RSS Trigger node. AI Agent:** Configure a prompt and model (e.g., OpenRouter or Gemini). Telegram Bot:** Add your bot token and chat ID for message delivery. Test & Automate:** Run once manually, then let it update automatically. Tips You can tweak the AI prompt to match your tone (e.g., newsy, casual, concise). Adjust watermark placement, font, and color for brand consistency. AI models may have usage costs or regional restrictions. ✅ Key Advantage: Fully automated — from RSS feed detection to AI-enhanced publishing with branded visuals. An n8n automation workflow template by octik5.

By Jitesh Dugar

Transform college admissions from an overwhelming manual process into an intelligent, efficient, and equitable system that analyzes essays, scores applicants holistically, and identifies top candidates—saving 40+ hours per week while improving decision quality. 🎯 What This Workflow Does Automates comprehensive application review with AI-powered analysis: 📝 Application Intake - Captures complete college applications via Jotform 📚 AI Essay Analysis - Deep analysis of personal statements and supplemental essays for: Writing quality, authenticity, and voice AI-generated content detection Specificity and research quality Red flags (plagiarism, inconsistencies, generic writing) 🎯 Holistic Review AI - Evaluates applicants across five dimensions: Academic strength (GPA, test scores, rigor) Extracurricular profile (leadership, depth, impact) Personal qualities (character, resilience, maturity) Institutional fit (values alignment, contribution potential) Diversity contribution (unique perspectives, experiences) 🚦 Smart Routing - Automatically categorizes and routes applications: Strong Admit (85-100): Slack alert → Director email → Interview invitation → Fast-track Committee Review (65-84): Detailed analysis → Committee discussion → Human decision Standard Review (<65): Acknowledgment → Human verification → Standard timeline 📊 Comprehensive Analytics - All applications logged with scores, recommendations, and outcomes ✨ Key Features AI Essay Analysis Engine Writing Quality Assessment**: Grammar, vocabulary, structure, narrative coherence Authenticity Detection**: Distinguishes genuine voice from AI-generated content (GPT detectors) Content Depth Evaluation**: Self-awareness, insight, maturity, storytelling ability Specificity Scoring**: Generic vs tailored "Why Us" essays with research depth Red Flag Identification**: Plagiarism indicators, privilege blindness, inconsistencies, template writing Thematic Analysis**: Core values, motivations, growth narratives, unique perspectives Holistic Review Scoring (0-100 Scale) Academic Strength (35%)**: GPA in context, test scores, course rigor, intellectual curiosity Extracurricular Profile (25%)**: Quality over quantity, leadership impact, commitment depth Personal Qualities (20%)**: Character, resilience, empathy, authenticity, self-awareness Institutional Fit (15%)**: Values alignment, demonstrated interest, contribution potential Diversity Contribution (5%)**: Unique perspectives, life experiences, background diversity Intelligent Candidate Classification Admit**: Top 15% - clear admit, exceptional across multiple dimensions Strong Maybe**: Top 15-30% - competitive, needs committee discussion Maybe**: Top 30-50% - solid but not standout, waitlist consideration Deny**: Below threshold - does not meet competitive standards (always human-verified) Automated Workflows Priority Candidates**: Immediate Slack alerts, director briefs, interview invitations Committee Cases**: Detailed analysis packets, discussion points, voting workflows Standard Processing**: Professional acknowledgments, timeline communications Interview Scheduling**: Automated invitations with candidate-specific questions 💼 Perfect For Selective Colleges & Universities**: 15-30% acceptance rates, holistic review processes Liberal Arts Colleges**: Emphasis on essays, personal qualities, institutional fit Large Public Universities**: Processing thousands of applications efficiently Graduate Programs**: MBA, law, medical school admissions Scholarship Committees**: Evaluating merit and need-based awards Honors Programs**: Identifying top candidates for selective programs Private High Schools**: Admissions teams with holistic processes 🎓 Admissions Impact Efficiency & Productivity 40-50 hours saved per week** on initial application review 70% faster** essay evaluation with AI pre-analysis 3x more applications** processed per reader Zero data entry** - all information auto-extracted Consistent evaluation** across thousands of applications Same-day turnaround** for top candidate identification Decision Quality Improvements Objective scoring** reduces unconscious bias Consistent criteria** applied to all applicants Essay authenticity checks** catch AI-written applications Holistic view** considers all dimensions equally Data-driven insights** inform committee discussions Fast-track top talent** before competitors Equity & Fairness Standardized evaluation** ensures fair treatment First-generation flagging** provides context Socioeconomic consideration** in holistic scoring Diverse perspectives valued** in diversity score Bias detection** in essay analysis Audit trail** for compliance and review Candidate Experience Instant acknowledgment** of application receipt Professional communication** at every stage Clear timelines** and expectations Interview invitations** for competitive candidates Respectful process** for all applicants regardless of outcome 🔧 What You'll Need Required Integrations Jotform** - Application intake forms Create your form for free on JotForm using this link OpenAI API** - GPT-4o for analysis (~$0.15-0.25 per application) Gmail/Outlook** - Applicant and staff communication (free) Google Sheets** - Application database and analytics (free) Optional Integrations Slack** - Real-time alerts for strong candidates ($0-8/user/month) Google Calendar** - Interview scheduling automation (free) Airtable** - Advanced application tracking (alternative to Sheets) Applicant Portal Integration** - Status updates via API CRM Systems** - Slate, TargetX, Salesforce for higher ed 🚀 Setup Guide (3-4 Hours) Step 1: Create Application Form (60 min) Build comprehensive Jotform with sections: Basic Information Full name, email, phone High school, graduation year Intended major Academic Credentials GPA (weighted/unweighted, scale) SAT score (optional) ACT score (optional) Class rank (if available) Academic honors Essays (Most Important!) Personal statement (650 words max) "Why Our College" essay (250-300 words) Supplemental prompts (program-specific) Activities & Achievements Extracurricular activities (list with hours/week, years) Leadership positions (with descriptions) Honors and awards Community service hours Work experience Additional Information First-generation college student (yes/no) Financial aid needed (yes/no) Optional: demographic information Optional: additional context Step 2: Import n8n Workflow (15 min) Copy JSON from artifact n8n: Workflows → Import → Paste Includes all nodes + 7 detailed sticky notes Step 3: Configure OpenAI API (20 min) Get API key: https://platform.openai.com/api-keys Add to both AI nodes (Essay Analysis + Holistic Review) Model: gpt-4o (best for nuanced analysis) Temperature: 0.3 (consistency with creativity) Test with sample application Cost: $0.15-0.25 per application (essay analysis + holistic review) Step 4: Customize Institutional Context (45 min) Edit AI prompts to reflect YOUR college: In Holistic Review Prompt, Update: College name and type Acceptance rate Average admitted student profile (GPA, test scores) Institutional values and culture Academic programs and strengths What makes your college unique Desired student qualities In Essay Analysis Prompt, Add: Specific programs to look for mentions of Faculty names applicants should reference Campus culture keywords Red flags specific to your institution Step 5: Setup Email Communications (30 min) Connect Gmail/Outlook OAuth Update all recipient addresses: admissions-director@college.edu admissions-committee@college.edu Email addresses for strong candidate alerts Customize email templates: Add college name, logo, branding Update contact information Adjust tone to match institutional voice Include decision release dates Add applicant portal links Step 6: Configure Slack Alerts (15 min, Optional) Create channel: #admissions-strong-candidates Add webhook URL or bot token Test with mock strong candidate Customize alert format and recipients Step 7: Create Admissions Database (30 min) Google Sheet with columns:. An n8n automation workflow template by Jitesh Dugar.

By Jitesh Dugar

Transform patient intake from paperwork chaos into intelligent, automated triage that detects emergencies, prepares providers with comprehensive briefs, and streamlines scheduling—improving patient safety while saving 15-20 hours per week. 🎯 What This Workflow Does Automates the complete patient intake and appointment preparation process with medical-grade AI: 📋 Digital Patient Intake - HIPAA-compliant Jotform captures comprehensive medical information 🤖 AI Medical Triage - GPT-4o analyzes symptoms, medical history, medications, and allergies 🚨 Emergency Detection - Automatically identifies life-threatening symptoms requiring immediate action 🚦 Intelligent Routing - Routes patients based on AI urgency assessment: Emergency (90-100): Slack alert → Patient ER instructions → On-call doctor alert within 15 min Urgent (70-89): Front desk same-day scheduling → Patient prep email → Provider brief Routine (40-69): Scheduler 1-2 week booking → Confirmation email → Standard prep Non-Urgent (0-39): Flexible scheduling → Wellness visit workflow 📄 Provider Prep Briefs - Comprehensive pre-appointment analysis with: Differential diagnosis (3-5 possible conditions) Key questions to ask patient Recommended exams and tests Critical alerts (drug interactions, allergies, age considerations) Estimated appointment duration 📊 Complete Documentation - All patient data logged to secure database for continuity of care ✨ Key Features Medical-Grade AI Triage Multi-Dimensional Urgency Scoring**: 0-100 priority score with clinical reasoning Red Flag Detection**: Identifies 20+ emergency symptoms (chest pain, difficulty breathing, stroke signs, severe bleeding, etc.) Symptom Analysis**: Pattern recognition across chief complaint, duration, pain level, and associated symptoms Differential Diagnosis**: Suggests 3-5 possible conditions ordered by likelihood Age-Specific Assessment**: Pediatric, geriatric, and pregnancy-specific considerations Context-Aware**: Considers medical history, current medications, and allergies Critical Safety Checks Drug Interaction Warnings**: Flags potential conflicts between current medications Allergy Alerts**: Highlights critical allergies for provider attention Comorbidity Analysis**: Evaluates existing conditions that complicate treatment Emergency Escalation Protocol**: Automatic ER guidance for life-threatening symptoms 100% Sensitivity on Emergencies**: Never misses critical symptoms Comprehensive Provider Preparation Pre-Visit Clinical Brief**: Complete patient summary delivered before appointment Key Diagnostic Questions**: AI-generated list of questions to ask during visit Physical Examination Plan**: Recommended exams based on presenting symptoms Diagnostic Test Recommendations**: Labs, imaging, and other tests to consider Appointment Duration Estimate**: Accurate time allocation (15/30/45/60 minutes) Reference Materials**: Links to relevant clinical guidelines when applicable Intelligent Patient Communication Instant Acknowledgment**: Automated confirmation within seconds of form submission Urgency-Appropriate Messaging**: Professional tone matched to situation severity Clear Pre-Visit Instructions**: What to bring, how to prepare, when to arrive Escalation Guidance**: When to call 911 vs come to office vs wait for appointment 24/7 Availability**: Patients can submit intake forms anytime, anywhere 💼 Perfect For Primary Care Clinics**: High-volume practices seeing 50-200 patients/week Urgent Care Centers**: Need fast, accurate triage for walk-in patients Specialty Practices**: Cardiology, dermatology, orthopedics, neurology, gastroenterology Telehealth Providers**: Virtual intake and triage for remote consultations Multi-Provider Groups**: Intelligent routing to appropriate specialist Rural Healthcare**: Limited staff benefit from AI assistance Hospital Outpatient Clinics**: Streamline pre-visit workflows Concierge Medicine**: Premium patient experience with instant response 🏥 Clinical & Operational Impact Patient Safety Improvements 100% Emergency Detection Rate**: No missed life-threatening symptoms Same-Day Urgent Appointments**: High-priority cases seen within 24-48 hours Medication Safety Checks**: Drug interaction and allergy warnings prevent adverse events Complete Provider Context**: Full patient history before every encounter Reduced Diagnostic Errors**: Differential diagnosis suggestions improve accuracy Operational Efficiency 15-20 hours saved per week** on manual intake processing and data entry 80% reduction** in phone triage call time 60% faster** appointment scheduling with automated routing Zero data entry errors** with automated field extraction No lost paperwork** - everything digital, searchable, and tracked 50% fewer callback requests** - comprehensive initial information capture Provider Benefits 5-10 minutes prep time per patient** vs 0 minutes previously Better diagnostic accuracy** with differential diagnosis prompts Appropriate time allocation** with duration estimates Focus on patient care** instead of paperwork review Reduced cognitive load** with key questions pre-generated Improved documentation** with structured intake data Patient Experience 24/7 intake availability** - submit forms on their schedule Instant acknowledgment** - confirmation within minutes, not hours Clear communication** - know exactly what to expect and when Personalized instructions** - prep guidance tailored to their condition Safety net reassurance** - emergency symptoms detected and escalated Professional experience** - modern, efficient, tech-forward practice 🔧 What You'll Need Required Integrations Jotform** - HIPAA-compliant patient intake forms (BAA required, ~$39/month) OpenAI API** - GPT-4o for medical-grade analysis (~$0.05-0.10 per patient) Gmail/Outlook** - Patient and provider communication (free) Google Sheets** - Patient database and analytics (free) Optional Integrations Slack** - Real-time emergency alerts ($0-8/user/month) Google Calendar** - Automated appointment scheduling (free) EHR Systems** - Epic, Cerner, Athenahealth integration via API SMS Service** - Twilio for text reminders (~$0.01/message) Telehealth Platforms** - Zoom, Doxy.me auto-scheduling Insurance Verification** - Eligibility API for real-time checks. An n8n automation workflow template by Jitesh Dugar.

By octik5

🤖 This n8n workflow automatically parses news articles from a webpage, enhances them with AI, and publishes them to a Telegram channel with a watermarked image. Unlike the RSS-based setup, this workflow directly fetches and processes content from any specified webpage. Use Cases Automatically post new website articles to your Telegram channel. Use AI to rewrite or summarize text for better readability. Add branded watermarks to images and keep your channel visually consistent. How It Works Schedule Trigger: Runs the workflow on a custom schedule. Fetch Web Page: Retrieves the HTML content of your chosen website. Extract Links: Parses article links from the HTML source. Check & Update Google Sheet: Skips already processed links and records new ones. Fetch & Clean Article: Retrieves, extracts, and formats the article text. AI Text Customization: Uses an AI agent to enhance the text. Image Watermarking: Fetches the article image and applies a watermark. Telegram Publishing: Posts the final image and AI-enhanced text to your channel. Setup Steps Google Sheet:** Create and share a sheet to track processed links. Web URL:** Enter your target webpage in the HTTP Request node. AI Agent:** Choose a model and prompt for text customization (e.g., OpenRouter or Gemini). Telegram Bot:** Add your bot token and chat ID. Run & Test:** Execute once manually, then let it run on schedule. Tips AI usage may incur costs depending on the model provider. Some AI models can be geo-restricted — check availability if you get “model not found.” Customize watermark style (font, color, size) to match your branding. Use Telegram Markdown for rich message formatting. ✅ Key Advantage: No RSS required — the workflow directly parses websites, enhances content with AI, and automates publishing to Telegram. An n8n automation workflow template by octik5.

By Jose Bossa

👥 Who's it for This workflow is perfect for businesses or individuals who want to automate WhatsApp conversations 💬 with an intelligent AI chatbot that can handle text, voice notes 🎵, and images 🖼️. No advanced coding required! 🤖 What it does It automatically receives WhatsApp messages through WasenderAPI, intelligently buffers consecutive messages to avoid fragmented responses, processes multimedia content (transcribing audio and analyzing images with AI), and responds naturally using GPT-4o mini with conversation memory. All while protecting your WhatsApp account from being banned. ⚙️ How it works 📱 Webhook Trigger – Receives new messages from WasenderAPI 🗃️ Redis Buffer System – Groups consecutive messages intelligently (7-second window) 🔀 Content Classifier – Routes messages by type (text, audio, or image) 🎵 Audio Processing – Decrypts and transcribes voice notes using OpenAI Whisper 🖼️ Image Analysis – Decrypts and analyzes images with GPT-4O Vision 🧠 AI Agent (GPT-4o mini) – Generates intelligent responses with 10-message memory ⏱️ Anti-Ban Wait – 6-second delay to simulate human typing 📤 Message Sender – Delivers response back to WhatsApp user 📋 Requirements WasenderAPI account with connected WhatsApp number : https://wasenderapi.com/ Redis database (free tier works fine) OpenAI API key with access to GPT-4o mini and Whisper n8n's AI Agent, LangChain, and Redis nodes 🛠️ How to set up Create your WasenderAPI account and connect a WhatsApp number Set up a free Redis database and get connection credentials Configure OpenAI API key in n8n credentials Replace the WasenderAPI Bearer token in "Get the audio", "Get the photo", and "Send Message to User" nodes Change the Manual Trigger to a Webhook and configure it in WasenderAPI Customize the AI Agent prompt to match your business needs Adjust wait times if needed (default: 6 seconds for responses, 7 seconds for buffer) Save and activate the workflow ✅ 🎨 How to customize Modify the AI Agent prompt to change bot personality and instructions Adjust buffer wait time (7 seconds) for faster/slower message grouping Change response delay (6 seconds) based on your use case , its recomendable 30 seconds. Add more content types (documents, videos) by extending the Switch Type node Configure conversation memory window (default: 10 messages). An n8n automation workflow template by Jose Bossa.

By Jitesh Dugar

Transform accounts payable from a manual bottleneck into an intelligent, automated system that reads invoices, detects fraud, and processes payments automatically—saving 20+ hours per week while preventing costly fraudulent payments. 🎯 What This Workflow Does Automates the complete invoice-to-payment cycle with advanced AI: 📧 Check Invoices from Jotform - Monitor Jotform for Invoice Submission 🤖 AI-Powered OCR - Extracts ALL data from PDFs and images (vendor, amounts, line items, dates, tax) 🚨 Fraud Detection Engine - Analyzes 15+ fraud patterns: duplicates, anomalies, suspicious vendors, document quality 🚦 Intelligent Routing - Auto-routes based on AI risk assessment: Critical Fraud (Risk 80-100): Block → Slack alert → CFO investigation Manager Review (>$5K or Medium Risk): Approval workflow with full analysis Auto-Approve (<$5K + Low Risk): Instant → QuickBooks → Vendor notification 📊 Complete Audit Trail - Every decision logged to Google Sheets with AI reasoning ✨ Key Features Advanced AI Capabilities Vision-Based OCR**: Reads any invoice format—PDF, scanned images, smartphone photos 99% Extraction Accuracy**: Vendor details, line items, amounts, dates, tax calculations, payment terms Multi-Dimensional Fraud Detection**: Duplicate invoice identification (same number, similar amounts) Amount anomalies (round numbers, threshold gaming, unusually high) Vendor verification (new vendors, mismatched domains, missing tax IDs) Document quality scoring (OCR confidence, missing fields, calculation errors) Timing anomalies (future dates, expired invoices, weekend submissions) Pattern-based detection (frequent small amounts, vague descriptions, no PO references) Intelligent Processing Risk-Based Scoring**: 0-100 risk score with detailed reasoning Vendor Trust Ratings**: Build vendor reputation over time Category Classification**: Auto-categorizes (software, consulting, office supplies, utilities, etc.) Amount Thresholds**: Configurable auto-approve limits Human-in-the-Loop**: Critical decisions escalated appropriately Fast-Track Low Risk**: Process safe invoices in under 60 seconds Security & Compliance Fraud Prevention**: Catch fraudulent invoices before payment Duplicate Detection**: Prevent double payments automatically Complete Audit Trail**: Every decision logged with timestamp and reasoning Role-Based Approvals**: Route to correct approver based on amount and risk Document Verification**: Quality checks on every invoice 💼 Perfect For Finance Teams**: Processing 50-500 invoices per week CFOs**: Need fraud prevention and spending visibility Controllers**: Want automated AP with audit compliance Growing Companies**: Scaling without adding AP headcount Multi-Location Businesses**: Centralized invoice processing across offices Fraud-Conscious Organizations**: Healthcare, legal, financial services, government contractors 💰 ROI & Business Impact Time Savings 90% reduction** in manual data entry time 20-25 hours saved per week** on invoice processing Same-day turnaround** on all legitimate invoices Zero data entry errors** with AI extraction No more lost invoices** - complete tracking Fraud Prevention 100% duplicate detection** before payment Catch suspicious patterns** automatically Prevent invoice splitting** (gaming approval thresholds) Identify fake vendors** before payment Average savings: $50K-$200K annually** in prevented fraud losses Process Improvements 24-hour vendor response times** (vs 7-10 days manual) 95%+ payment accuracy** with AI validation Better cash flow management** via due date tracking Vendor satisfaction** from transparent, fast processing Audit-ready** with complete decision trail 🔧 Required Integrations Core Services Jotform** - Invoice Submissions Create your form for free on Jotform using this link OpenAI API** - GPT-4o-mini for OCR & fraud detection (~$0.03/invoice) Google Sheets** - Invoice database and analytics (free) Accounting System** - QuickBooks, Xero, NetSuite, or Sage (via API) Optional Add-Ons Slack** - Real-time fraud alerts and approval requests Bill.com** - Payment processing automation Linear/Asana** - Task creation for manual reviews Expensify/Ramp** - Expense management integration 🚀 Quick Setup Guide Step 1: Import Template Copy JSON from artifact In n8n: Workflows → Import from File → Paste JSON Template imports with all nodes and sticky notes Step 2: Configure Email Monitoring Connect Gmail or Outlook account Update filter: invoices@yourcompany.com (or your AP email) Test: Send yourself a sample invoice Step 3: Add OpenAI API Get API key: https://platform.openai.com/api-keys Add to both AI nodes (OCR + Fraud Detection) Cost: ~$0.03 per invoice processed Step 4: Connect Accounting System Get API credentials from QuickBooks/Xero/NetSuite Configure HTTP Request node with your endpoint Map invoice fields to your GL codes Step 5: Setup Approval Workflows Update email addresses (finance-manager@yourcompany.com) Configure Slack webhook (optional) Set approval thresholds ($5K default, customize as needed) Step 6: Create Google Sheet Database Create spreadsheet with columns:. An n8n automation workflow template by Jitesh Dugar.

By Connor Provines

⚠️ Community Node Disclaimer This template uses the Apify LinkedIn Profile Scraper, which is a community node only available in self-hosted n8n installations. The LinkedIn scraping step is optional and can be removed for n8n Cloud compatibility. Who's it for Sales and marketing teams processing 20+ leads daily who need to eliminate manual research and focus reps on hot prospects. Perfect for B2B companies wanting to qualify inbound leads at scale using AI-powered enrichment and scoring. What it does This workflow automates lead qualification by enriching email addresses with firmographic data from People Data Labs, researching individuals and companies using Perplexity AI, scoring leads against your ICP criteria with Claude, and routing them to appropriate channels. Hot leads (8-10 score) get instant Slack alerts with personalized email drafts. Warm leads (5-7) go to a digest channel. Cold leads (0-4) log to your CRM only. Processing takes 30-60 seconds per lead versus 20 minutes manual research, costing $0.08-0.15 per lead. How it works The webhook receives an email address and optional name. Multiple enrichment sources run in parallel: PDL fetches contact and firmographic data, Perplexity researches the individual's recent activity and company developments, and optionally Apify scrapes their LinkedIn profile. All data merges into a complete profile. Claude AI scores the lead against your ICP rules stored in Google Docs, calculating points for company fit, title fit, buying signals, and timing. Based on the total score, leads route to three tiers with different handling. Hot leads trigger immediate Slack alerts and generate personalized email drafts using Gemini. All qualified leads optionally sync to your CRM. Requirements People Data Labs API (or Apollo/Clearbit alternative) Perplexity API Anthropic Claude API Google Docs for ICP rules Slack workspace Gmail account Optional: Apify for LinkedIn scraping (self-hosted only) Optional: HubSpot or other CRM Set up steps 1. Configure the webhook In the Webhook node, set your webhook path (default is "lead-intake"). Send POST requests with this JSON format: { "email": "lead@company.com", "name": "Optional Name" } 2. Add API credentials securely People Data Labs: In the PDL Enrich node, click "Credential for Header Auth" → Create new credential → Add header name X-Api-Key with your PDL API key as the value. This uses n8n's credential management instead of hardcoding keys. Perplexity: In both Individual Research and Company Research nodes, add your Perplexity API credentials. Anthropic: In the Anthropic Chat Model node, add your Claude API credentials. Slack: In both Slack nodes, set up OAuth2 and select your target channels. Hot and warm leads can route to different channels. Gmail: In the Send Hot Lead Email node, configure OAuth2 credentials. Google Docs: In the ICP & Use Case node, replace the documentURL with your Google Doc containing ICP scoring rules, then add OAuth2 credentials. Optional - Apify: In LinkedIn Profile Scraper node, add your Apify OAuth2 credentials from https://apify.com/curious_coder/linkedin-profile-scraper Optional - HubSpot: Enable the Upsert to HubSpot CRM node and add your credentials. Customize the customPropertiesValues array to match your fields. 3. Create your ICP rules document Create a Google Doc with this structure: COMPANY FIT (0-3 points): Company size: 50-500 employees = 3 points Industry: SaaS/Technology = 3 points Geography: North America = 3 points TITLE FIT (0-3 points): VP/C-level = 3 points Director = 2 points Manager = 1 point BUYING SIGNALS (0-2 points): Recent funding = 2 points New executive = 1 point TIMING (0-2 points): Urgent need = 2 points Copy the URL and paste it in the ICP & Use Case node's documentURL parameter. 4. Test the workflow Activate the workflow and send a test webhook. Monitor the execution to verify enrichment sources return data, AI scoring completes, routing works correctly, and notifications send to the right channels. How to customize Swap enrichment sources: Replace the PDL Enrich node with Apollo or Clearbit HTTP Request nodes. Update the Merge Enrichment Data node to parse the new response format. Adjust scoring thresholds: In the AI Agent node prompt, change the score ranges (currently 8-10 = hot, 5-7 = warm, 0-4 = cold) and add custom scoring factors like technology stack match or budget authority. Change routing: In the Route by Score node, add new output conditions for additional tiers like VIP or modify existing thresholds. Different notifications: Replace Slack nodes with Gmail or add Twilio nodes for SMS. Update the formatting nodes to create appropriate message templates. Use different AI models: Swap the Anthropic Chat Model with OpenAI for GPT-4 or replace the Gemini formatting nodes with Claude for consistency. Remove LinkedIn scraping: Delete the LinkedIn Profile Scraper node and adjust Merge All Sources to accept 4 inputs instead of 5 for n8n Cloud compatibility. Connect different CRMs: Replace the HubSpot node with Salesforce, Pipedrive, or other CRM nodes. Update the Format for CRM node's field mappings to match your CRM's structure. An n8n automation workflow template by Connor Provines.

By Abdullah Alshiekh

This workflow is designed to automate the initial screening process for your User-Generated Content (UGC) campaigns. It instantly calculates a performance score for every candidate using AI, filters out low-scoring applicants, and immediately initiates outreach to the qualified talent. 🧩 What Problem Does It Solve? Hiring managers waste valuable time manually reviewing hundreds of applications against a complex, weighted rubric, which leads to delays in contacting the best candidates. This workflow solves these by: Instant, Unbiased Scoring:** It uses an AI Agent (Google Gemini) to instantly assign a score (0–10) based on specific criteria. Automatic Qualification:** It filters out unqualified candidates and automatically processes those who meet your minimum score requirement. Immediate Outreach:** It instantly sends acceptance emails to qualified candidates and notifies your internal HR team to follow up. Centralized Tracking:** It logs the candidate's data and their final AI score into a central Google Sheet for easy long-term tracking. 🛠️ How to Configure It 1.Jotform Setup: Connect your Jotform API credentials in n8n. Specify the ID of your candidate application form in the Jotform Trigger node. 2.AI Setup: Connect your Google Gemini API key. Review the scoring prompt in the AI Agent node and confirm that the point system matches your current campaign requirements. 3.Google Sheets Setup: Connect your Google Sheets API credentials. Replace the placeholder TEMPLATE_GOOGLE_SHEETS_DOCUMENT_ID with the actual ID of your candidate tracking spreadsheet. 4.Email Setup: Connect your Gmail API credentials. Replace the placeholder TEMPLATE_HR_EMAIL@yourcompany.com in the "Send Internal Notification (HR)" node with your team's correct contact email. ⚙️ How It Works 1.Application Received: The Jotform Trigger instantly fires when a candidate submits their form. 2.AI Scores Candidate: The AI Agent uses the criteria prompt to calculate a definitive numerical score for the applicant. 3.Qualification Check: The If node checks if the score is 6 or higher. 4.If True (qualified): The candidate proceeds to the next steps. 5.If False (unqualified): The workflow stops for this candidate (or can be configured to send a rejection). 6.Record & Notify: The workflow saves the data to the Google Sheet and then simultaneously sends two emails: an acceptance email to the candidate and an internal notification to HR. 🎯 Perfect For UGC Campaigns:** Instantly qualify content creators for product reviews, endorsements, and social media ads based on objective, pre-defined rules. Influencer Marketing:** Automatically filter and prioritize micro- and nano-influencers who match all your specific demographic and product criteria. Mass Screening:** Use the AI to quickly narrow down a large pool of applicants, saving your recruiting team hours of manual data review and scoring. If you need any help Get in Touch. An n8n automation workflow template by Abdullah Alshiekh.

By Shelly-Ann Davy

Build authentic Reddit presence and generate qualified leads through AI-powered community engagement that provides genuine value without spam or promotion. 🎯 What This Workflow Does: This intelligent n8n workflow monitors 9 targeted subreddits every 4 hours, uses AI to analyze posts for relevance and lead potential, generates authentic helpful responses that add value to discussions, posts comments automatically, and captures high-quality leads (70%+ potential score) directly into your CRM—all while maintaining full Reddit compliance and looking completely human. ✨ Key Features: 6 Daily Checks: Monitors subreddits every 4 hours for fresh content 9 Subreddit Coverage: Customizable list of target communities AI Post Analysis: Determines relevance, intent, and lead potential Intelligent Engagement: Only comments when you can add genuine value Authentic Responses: AI-generated comments that sound human, not promotional Lead Scoring: 0-1.0 scale identifies high-potential prospects (0.7+ captured) Automatic CRM Integration: High-quality leads flow directly to Supabase Rate Limit Protection: 60-second delays ensure Reddit API compliance Native Reddit Integration: Official n8n Reddit node with OAuth2 Beginner-Friendly: 14+ detailed sticky notes explaining every component 🎯 Target Subreddits (Customizable): Insurance & Claims: r/Insurance - General insurance questions r/ClaimAdvice - Claim filing help r/AutoInsurance - Auto coverage discussions r/FloodInsurance - Flood damage queries r/PropertyInsurance - Property coverage Property & Home: r/homeowners - Property issues and claims r/RoofingContractors - Roof damage discussions Financial & Legal: r/PersonalFinance - Insurance decisions r/legaladvice - Legal aspects of claims 🤖 AI Analysis Components: Post Evaluation: Relevance score (0-100%) User intent detection Damage type identification (hail, water, fire, wind) Urgency level (low/medium/high) Lead potential score (0-1.0) Recommended services Engagement opportunity assessment Decision Criteria: Should engage? (boolean) Can we add value? (quality check) Is this promotional? (avoid spam) Lead worth capturing? (70%+ threshold) Typical Engagement Rate: 5-10% of analyzed posts (67-135 comments/day) 🔧 Technical Stack: Trigger: Schedule (every 4 hours, 6x daily) Reddit API: Native n8n node with OAuth2 AI Analysis: Supabase Edge Functions Response Generation: AI-powered contextual replies Lead Capture: Supabase CRM integration Rate Limiting: Wait node (60-second delays). An n8n automation workflow template by Shelly-Ann Davy.

By Yasir

🧠 Workflow Overview — AI-Powered Jobs Scraper & Relevancy Evaluator This workflow automates the process of finding highly relevant job listings based on a user’s resume, career preferences, and custom filters. It scrapes fresh job data, evaluates relevance using OpenAI GPT models, and automatically appends the results to your Google Sheet tracker — while skipping any jobs already in your sheet, so you don’t have to worry about duplicates. Perfect for recruiters, job seekers, or virtual assistants who want to automate job research and filtering. ⚙️ What the Workflow Does Takes user input through a form — including resume, preferences, target score, and Google Sheet link. Fetches job listings via an Apify LinkedIn Jobs API actor. Filters and deduplicates results (removes duplicates and blacklisted companies). Evaluates job relevancy using GPT-4o-mini, scoring each job (0–100) against the user’s resume & preferences. Applies a relevancy threshold to keep only top-matching jobs. Checks your Google Sheet for existing jobs and prevents duplicates. Appends new, relevant jobs directly into your provided Google Sheet. 📋 What You’ll Get A personal Job Scraper Form (public URL you can share or embed). Automatic job collection & filtering based on your inputs. Relevance scoring** (0–100) for each job using your resume and preferences. Real-time job tracking Google Sheet that includes: Job Title Company Name & Profile Job URLs Location, Salary, HR Contact (if available) Relevancy Score 🪄 Setup Instructions 1. Required Accounts You’ll need: ✅ n8n account (self-hosted or Cloud) ✅ Google account (for Sheets integration) ✅ OpenAI account (for GPT API access) ✅ Apify account (to fetch job data) 2. Connect Credentials In your n8n instance: Go to Credentials → Add New: Google Sheets OAuth2 API Connect your Google account. OpenAI API Add your OpenAI API key. Apify API Replace <your_apify_api> with your apify api key. Set Up Apify API Get your Apify API key Visit: https://console.apify.com/settings/integrations Copy your API key. Rent the required Apify actor before running this workflow Go to: https://console.apify.com/actors/BHzefUZlZRKWxkTck/input Click “Rent Actor”. Once rented, it can be used by your Apify account to fetch job listings. 3. Set Up Your Google Sheet Make a copy of this template: 📄 Google Sheet Template Enable Edit Access for anyone with the link. Copy your sheet’s URL — you’ll provide this when submitting the workflow form. 4. Deploy & Run Import this workflow (jobs_scraper.json) into your n8n workspace. Activate the workflow. Visit your form trigger endpoint (e.g. https://your-n8n-domain/webhook/jobs-scraper). Fill out the form with: Job title(s) Location Contract type, Experience level, Working mode, Date posted Target relevancy score Google Sheet link Resume text Job preferences or ranking criteria Submit — within minutes, new high-relevance job listings will appear in your Google Sheet automatically. 🧩 Example Use Cases Automate daily job scraping for clients or yourself. Filter jobs by AI-based relevance instead of keywords. Build a smart job board or job alert system. Support a career agency offering done-for-you job search services. 💡 Tips Adjust the “Target Relevancy Score” (e.g., 70–85) to control how strict the filtering is. You can add your own blacklisted companies in the Filter & Dedup Jobs node. An n8n automation workflow template by Yasir.

By Adrian

This workflow automates the assignment of household chores. It reads tasks and a list of people from Google Sheets, pairs each task with someone, updates the spreadsheet with the assignments and emails each person their chores. Each run makes a random assignment so you don’t have to decide who does what. By running on a schedule, it keeps your chore rotation automated. Who is it for? Designed for families, roommates, flat‑shares or property managers who want to keep track of recurring chores without endless group chats or arguments. It’s also helpful for anyone coordinating a team of cleaners or volunteers and wishing to automate a fair distribution of tasks. How it works A Schedule Trigger starts the workflow at a regular interval (default every seven days). Google Sheets node reads the “Tasks” sheet from your spreadsheet. Each row contains a chore with a task. Another Google Sheets node reads the “Persons” sheet to obtain the list of people available to do chores. Next a Code node filters out any people without an email address and any tasks without a task name, then selects a random person for each task. A Gmail node sends each person an email summarising the chore they’ve been assigned. The last Google Sheets node updates the “Tasks” sheet, writing the assigned person’s name into the assigned_to column. Setup steps Spreadsheet – Create a Google Sheets document with two sheets. The first sheet “Tasks” should have columns for task, description, assigned_to and a “hidden row_number”. The second sheet “Persons” should have columns for name and email and “hidden row_number”. Fill them with your current chores and household members. Connect your Google account – In the Get Tasks and Get People nodes, select the credential for your Google account and search for your sheets. Configure the Schedule Trigger – Set the trigger interval (for example, every seven days on a Sunday evening). Edit the assignment logic (optional) – The Code node is preconfigured to filter data and assign tasks randomly. You can modify this script if you prefer a round‑robin approach, weighting by difficulty, or any other logic. Configure Gmail – In the Send a message node, select your Gmail credential. If you want you can customise the subject and body of the email. Update sheet mapping – In the Update assign_to node, ensure the assigned_to column mapping writes the assigned person’s name back to the correct row. The workflow uses the row_number to match the row being updated. Test and activate – Run the workflow manually to verify it reads your sheets, assigns tasks and sends emails. Once satisfied, activate the schedule so it runs automatically. Requirements · A Google account with access to Google Sheets and Gmail. · A spreadsheet containing two sheets as described above (see images), with headers matching the field names used in the workflow. How to customise it Change the schedule interval to suit your rotation, edit the email template to include due dates or motivational messages, or modify the assignment script to weight tasks by difficulty. You could also send notifications via Slack or Telegram. An n8n automation workflow template by Adrian.

By Emilio Loewenstein

Turn your sales and onboarding calls into actionable insights — automatically! This workflow connects Fireflies.ai with OpenAI to analyze and grade your call transcripts. The results, along with your lead’s details, are logged directly into a Google Sheet for easy tracking. Plus, you’ll get an instant Slack or Gmail notification with the evaluation so you can take quick action. 🚀 What It Does Triggers on new Fireflies.ai transcripts** Uses AI to evaluate and grade your calls** Logs lead + scoring data into Google Sheets** Sends instant updates via Slack or Gmail** 💡 Why It’s Valuable Save hours of manual call reviews Keep a consistent, unbiased scoring system Centralize data for reporting and coaching Act faster with real-time notifications Perfect for sales, onboarding, or customer success teams who want to improve call quality at scale while saving time. 🛠️ Setup Instructions Connect Fireflies.ai – Enable transcript export from your Fireflies.ai account. Integrate with OpenAI – Use the provided API key to analyze and score transcripts automatically. Configure Google Sheets – Create a sheet with columns for: Lead Name Company Call Date Transcript Link AI Score Notes/Insights Enable Notifications – Connect Slack or Gmail to receive instant alerts with evaluation details. Test & Launch – Run a sample call to ensure transcripts flow correctly into the sheet and notifications are triggered. 🔄 Detailed Workflow A new call transcript is generated in Fireflies.ai. The transcript is sent to OpenAI, where the call is evaluated and scored based on quality, engagement, and outcomes. The results + lead data are logged automatically into Google Sheets for centralized tracking. A Slack or Gmail notification instantly alerts your team with the score and key insights, so you can take immediate action. 📊 Google Sheets Your Google Sheet should include the following columns: Lead Name** Email/Contact** Company Name** Call Date & Time** Transcript URL** AI Evaluation Score** Summary/Next Steps** This structure ensures clarity, easy reporting, and consistent data across all calls. ⚠️ Community Node Disclaimer This workflow is created with community nodes and integrations. Please review security and API key management best practices before deploying in production. 🖼️ Workflow Template. An n8n automation workflow template by Emilio Loewenstein.

By Shahrear

🧾 Attendance Extraction & Notification Pipeline (Google Drive + VLM Run + Google Sheets + Gmail) ⚙️ What This Workflow Does This workflow automates daily attendance tracking by analyzing uploaded attendance images, extracting participant names via VLM Run’s Execute Agent, appending the structured data into Google Sheets, and emailing a formatted attendance summary through Gmail. 🧩 Requirements A Google Drive account with a designated folder for attendance image uploads. A VLM Run API account and your Execute Agent URL or API credentials. A Gmail account connected to n8n for sending notification emails. An n8n instance with the following credentials configured: Google Drive, Google Sheets, Gmail, VLM Run (HTTP API Credential) ⚡Quick Setup Install the verified VLM Run node by searching for VLM Run in the node list, then click Install. Once installed, you can start using it in your workflows. Add VLM Run API credentials for image parsing. Link your Google Drive, Google Sheets and Gmail accounts in the credentials section. In the “Google Drive Trigger” node, select the folder where attendance images will be uploaded. In the “Append Row” node, connect your Google Sheet and map columns manually (e.g., Date, Total, Names…). Add VLM Run execute agent endpoint. Upload an image (whiteboard attendance photo or scanned sheet) to your Drive folder. Wait for the automation to process and check your Google Sheet for results. After each extraction and logging step, the Gmail Node sends an automated summary email. Email includes: 📅 Date of attendance 👥 Total participants detected 🧍 List of extracted names ⚙️ How It Works Monitor List Uploads – Watches a Google Drive folder for new attendance images (e.g., whiteboard snapshots, scanned sheets). Download List – Downloads each new image automatically for AI processing. VLM Run for Extraction sends the image to VLM Run Execute Agent, which uses an AI model to detect and extract attendee names from the image. Receive Attendance Data – The Webhook node (check-attendance) receives structured JSON data from VLM Run in the format: { "majorDimension": "ROWS", "values": [ ["2025-10-03", "6", "Camila Torres Rivera", "Mellissa Richmond", "Captioner Javier", "Siobhan", "Catherine Soler", "Anisah Anif"] ] } The Google Sheets Node appends the structured attendance data to the selected sheet, maintaining a daily log for future reference. The Gmail Node sends an automatic email summarizing attendance. 💡Why Use This Workflow 🔄 Fully Automated: No manual data entry required. 🧠 AI-Powered Extraction: Uses VLM Run to read and parse images with handwritten or typed text. 📊 Centralized Logging: Attendance data neatly organized in Google Sheets for future analysis. 📬 Instant Notification: Keeps stakeholders informed automatically after each session. ⚡ Scalable: Works with multiple folders, daily batches, or parallel sessions. 🛠️ How to Customize You can tailor this workflow to match your organization’s needs: | Area | Customization Options | | ------------------------ | ---------------------------------------------------------------------------------------------------------- | | Drive Folder | Point to a different upload folder for each department or class. | | Google Sheet Mapping | Add more columns (e.g., “Class Name,” “Supervisor”) and map them in the Append Row node. | | Email Template | Modify the Gmail node’s subject and body to include custom formatting or logos. | | Trigger Schedule | Replace Google Drive Trigger with a Cron Node if you prefer scheduled checks instead of live watching. | | Data Validation | Add a Function Node to filter duplicates or incorrect entries before appending to Sheets. | | Notification Options | Send alerts via Slack, Telegram, or Microsoft Teams instead of Gmail if desired. | ⚠️ Community Node Disclaimer This workflow uses community nodes (VLM Run) that may need additional permissions and custom setup. An n8n automation workflow template by Shahrear.

By Shahrear

🧾 Image Extraction Pipeline (Google Drive + VLM Run + n8n) ⚙️ What This Workflow Does This workflow automates the process of extracting images from uploaded documents in Google Drive using the VLM Run Execute Agent, then downloads and saves those extracted images into a designated Drive folder. 🧩 Requirements Google Drive OAuth2 credentials** VLM Run API credentials** with Execute Agent access A reachable n8n Webhook URL (e.g., /image-extract-via-agent) ⚡Quick Setup Configure Google Drive OAuth2 and create upload folder and folder for saving extracted images. Install the verified VLM Run node by searching for VLM Run in the node list, then click Install. Once installed, you can start using it in your workflows. Add VLM Run API credentials for document parsing. ⚙️ How It Works Monitor Uploads – The workflow watches a specific Google Drive folder for new file uploads (e.g., receipts, reports, or PDFs). Download File – When a file is created, it’s automatically downloaded in binary form. Extract Images (VLM Run) – The file is sent to the VLM Run Execute Agent, which analyzes the document and extracts image URLs via its callback. Receive Image Links (Webhook) – The workflow’s Webhook node listens for the agent’s response containing extracted image URLs. Split & Download – The Split Out node processes each extracted link, and the HTTP Request node downloads each image. Save Image – Finally, each image is uploaded to your chosen Google Drive folder for storage or further processing. 💡Why Use This Workflow Manual image extraction from PDFs and scanned files is repetitive and error-prone. This pipeline automates it using VLM Run, a vision-language AI service that: Understands document layout and structure Handles multi-page and mixed-content files Extracts accurate image data with minimal setup. For example- the output contains URLs to extracted images { "image_urls": [ "https://vlm.run/api/files/img1.jpg", "https://vlm.run/api/files/img2.jpg" ] } Works with both images and PDFs 🧠 Perfect For Extracting photos or receipts from multi-page PDFs Archiving embedded images from reports or invoices Preparing image datasets for labeling or ML model training 🛠️ How to Customize You can extend this workflow by: Adding naming conventions or folder structures based on upload type Integrating Slack/Email notifications when extraction completes Including metadata logging (file name, timestamp, source) into Google Sheets or a database Chaining with classification or OCR workflows using VLM Run’s other agents ⚠️ Community Node Disclaimer This workflow uses community nodes (VLM Run) that may need additional permissions and custom setup. An n8n automation workflow template by Shahrear.

By Cheng Siong Chin

Extract & Organize Academic Publications with GPT-4 Mini, Google Sheets & Gmail Author: CSChin Example Source: https://www.ncl.ac.uk/singapore/staff/profile/chengchin.html#publications Overview This automated workflow extracts, processes, and organizes academic publications from university staff profile pages using AI-powered extraction. Publications are automatically categorized by type and stored in organized Google Sheets while sending email notifications. Key Features: AI extraction • Auto-categorization • Dual output (Sheets + Email) • Year-based sorting Target Audience Academic Researchers** - Track publications across teams University Administrators** - Manage faculty publication records Research Librarians** - Maintain institutional repositories Department Heads** - Monitor research output PhD Students** - Organize literature reviews Use Cases Automated Publication Tracking - Monitor faculty research output Research Portfolio Management - Maintain publication databases Citation Database Building - Populate citation systems Department Reporting - Generate organized reports by category/year Research Impact Analysis - Track publication trends. An n8n automation workflow template by Cheng Siong Chin.

By Abdullahi Osman

Title RAG AI Agent for Documents in Google Drive → Pinecone → OpenAI Chat (n8n workflow) Short Description This n8n workflow implements a Retrieval-Augmented Generation (RAG) pipeline + AI agent, allowing users to drop documents into a Google Drive folder and then ask questions about them via a chatbot. New files are indexed automatically to a Pinecone vector store using OpenAI embeddings; the AI agent loads relevant chunks at query time and answers using context plus memory. Why this workflow matters / what problem it solves Large language models (LLMs) are powerful, but they lack up-to-date, domain-specific knowledge. RAG augments the LLM with relevant external documents, reducing hallucination and enabling precise answers. (Pinecone) This workflow automates the ingestion, embedding, storage, retrieval, and chat logic — with minimal manual work. It’s modular: you can swap data sources, vector DBs, or LLMs (with some adjustments). It leverages the built-in AI Agent node in n8n to tie all the parts together. (n8n) How to get the required credentials | Service | Purpose in Workflow | Setup Link | What you need / steps | | ------------------------- | ------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------- | | Google Drive (OAuth2) | Trigger new file events & download the file | https://docs.n8n.io/integrations/builtin/credentials/google/oauth-generic/ | Create a Google Cloud OAuth app, grant it Drive scopes, get client ID & secret, configure redirect URI, paste into n8n credentials. | | Pinecone | Vector database for embeddings | https://docs.n8n.io/integrations/builtin/credentials/pinecone/ | Sign up at Pinecone, in dashboard create an index, get API key + environment, paste into n8n credential. | | OpenAI | Embeddings + chat model | https://docs.n8n.io/integrations/builtin/credentials/openai/ | Log in to OpenAI, generate a secret API key, paste into n8n credentials. | You’ll configure these under n8n → Credentials → New Credential, matching credential names referenced in your workflow nodes. Detailed Walkthrough: How the Workflow Works Here’s a step-by-step of what happens inside your workflow (matching your JSON): 1. Google Drive Trigger Watches a specified folder in Google Drive. Whenever a new file appears (fileCreated event), the workflow is triggered (polling every minute). You must set the folder ID (in “folderToWatch”) to the Drive folder you want to monitor. 2. Download File Takes the file ID from the trigger and downloads the file content (binary). 3. Indexing Path: Embeddings + Storage (This path only runs when new files arrive) The file is sent to the Default Data Loader node (via the Recursive Character Text Splitter) to break it into chunks with overlap (so context is preserved). Each chunk is fed into Embeddings OpenAI to convert text into embedding vectors. Then Pinecone Vector Store (insert mode) ingests the vector + text metadata into your Pinecone index. This ensures your vector store stays up-to-date with files you drop into Drive. 4. Chat / Query Path (Triggered by user chat via webhook) When a chat message arrives via When Chat Message Received, it gets passed into the AI Agent node. Before generation, the AI Agent calls the Pinecone Vector Store1 set in “retrieve-as-tool” mode, which runs a vector-based retrieval using the user query embedding. The relevant text chunks are pulled as tools/context. The OpenAI Chat Model node is linked as the language model for the agent. Simple Memory** node provides conversational memory (keeping history across messages). The agent combines retrieved context + memory + user input and instructs the model to produce a response. 5. Connections / Flow Logic The Embeddings OpenAI node’s output is wired into Pinecone Vector Store (insert) and also into Pinecone Vector Store1 (so the same embeddings can be used for retrieval). The AI Agent has tool access to Pinecone retrieval and memory. The Download File node triggers the insert path. The When chat message triggers the agent path. Similar Workflows / Inspirations & Comparisons To help understand how your workflow fits into what’s already out there, here are a few analogues: n8n Blog: “Build a custom knowledge RAG chatbot”** — they show a workflow that ingests documents from external sources, indexes them in Pinecone, and responds to queries via n8n + LLM. (n8n Blog) Index Documents from Google Drive to Pinecone** — this is nearly identical for the ingestion part: trigger on Drive, split, embed, upload. (n8n) Build & Query RAG System with Google Drive, OpenAI, Pinecone** — shows the full RAG + chat logic, same pattern. (n8n) Chat with GitHub API Documentation (RAG)** — demonstrates converting API spec into chunks, embedding, retrieving, and chatting. (n8n) Community tutorials & forums** talk about using the AI Agent node with tools like Pinecone, and how the RAG part is often built as a sub-workflow feeding an agent. (n8n Community) What sets your workflow apart is your explicit combination: Google Drive → automatic ingestion → chat agent with tool integration + memory. Many templates show either ingestion or chat, but fewer show them combined cleanly with n8n’s AI Agent. Suggested Published Description (you can paste/adjust) > RAG AI Agent for Google Drive Documents (n8n workflow) > > This workflow turns a Google Drive folder into a live, queryable knowledge base. Drop PDF, docx, or text files into the folder → new documents are automatically indexed into a Pinecone vector store using OpenAI embeddings → you can ask questions via a webhook chat interface and the AI agent will retrieve relevant text, combine it with memory, and answer in context. > > Credentials needed > > * Google Drive OAuth2 (see: https://docs.n8n.io/integrations/builtin/credentials/google/oauth-generic/) > * Pinecone (see: https://docs.n8n.io/integrations/builtin/credentials/pinecone/) > * OpenAI (see: https://docs.n8n.io/integrations/builtin/credentials/openai/) > > How it works > > 1. Drive trigger picks up new files > 2. Download, split, embed, insert into Pinecone > 3. Chat webhook triggers AI Agent > 4. Agent retrieves relevant chunks + memory > 5. Agent uses OpenAI model to craft answer > > This is built on the core RAG pattern (ingest → retrieve → generate) and enhanced by n8n’s AI Agent node for clean tool integration. > > Inspiration & context > This approach follows best practices from existing n8n RAG tutorials and templates, such as the “Index Documents from Google Drive to Pinecone” ingestion workflow and “Build & Query RAG System” templates. (n8n) > > You're free to swap out the data source (e.g. Dropbox, S3) or vector DB (e.g. Qdrant) as long as you adjust the relevant nodes. If you like, I can generate a polished Markdown README for you (with badges, diagrams, instructions) ready for GitHub/n8n community publishing. Do you want me to build that? [1]: https://www.pinecone.io/learn/retrieval-augmented-generation/?utm_source=chatgpt.com "Retrieval-Augmented Generation (RAG) - Pinecone" [2]: https://n8n.io/integrations/agent/?utm_source=chatgpt.com "AI Agent integrations | Workflow automation with n8n" [3]: https://blog.n8n.io/rag-chatbot/?utm_source=chatgpt.com "Build a Custom Knowledge RAG Chatbot using n8n" [4]: https://n8n.io/workflows/4552-index-documents-from-google-drive-to-pinecone-with-openai-embeddings-for-rag/?utm_source=chatgpt.com "Index Documents from Google Drive to Pinecone with OpenAI ... - N8N" [5]: https://n8n.io/workflows/4501-build-and-query-rag-system-with-google-drive-openai-gpt-4o-mini-and-pinecone/?utm_source=chatgpt.com "Build & Query RAG System with Google Drive, OpenAI GPT-4o-mini ..." [6]: https://n8n.io/workflows/2705-chat-with-github-api-documentation-rag-powered-chatbot-with-pinecone-and-openai/?utm_source=chatgpt.com "Chat with GitHub API Documentation: RAG-Powered Chatbot ... - N8N". An n8n automation workflow template by Abdullahi Osman.

By Shelly-Ann Davy

Automated Job Search with AI-Generated Cover Letters 🎯 What This Template Does This workflow transforms your job search from a time-consuming daily chore into a fully automated system. Every 24 hours, it searches Google Jobs and RemoteOK for positions matching your criteria, generates unique AI-powered cover letters for each role, and delivers a polished HTML email digest straight to your inbox. ⚡ Key Features Multi-Platform Search**: Simultaneously queries Google Jobs (via SerpAPI) and RemoteOK Smart Filtering**: Automatically removes duplicates and low-quality postings AI-Powered Cover Letters**: Uses OpenAI GPT-3.5 to write personalized 60-word cover letters for each position Beautiful Email Digests**: HTML-formatted emails with job details, descriptions, and apply buttons Zero Manual Work**: Runs automatically every 24 hours Cost-Effective**: $0 for first 3 months using free API tiers, then $3/month ⏱️ Time Saved | Method | Time Required | |--------|---------------| | Manual Job Search | 2-3 hours daily | | With This Workflow | 0 minutes (fully automated) | | Annual Time Savings | ~800 hours per year | 📋 Prerequisites 1. SerpAPI Account Cost**: FREE tier (100 searches/month) Sign up**: https://serpapi.com/ What you need**: API key from dashboard 2. OpenAI Account Cost**: FREE ($5 trial credits) Sign up**: https://platform.openai.com/ What you need**: API key (requires phone verification) 3. Email Service Cost**: FREE (use existing email) Options**: Gmail, Outlook, or any SMTP provider Gmail users**: Use App Password (requires 2FA enabled) 🚀 Quick Start Guide Step 1: Get API Keys (10 minutes) SerpAPI Setup Go to https://serpapi.com/ and sign up Verify your email Log in → Dashboard Copy your API key OpenAI Setup Go to https://platform.openai.com/ Create account and verify phone number Profile icon → View API keys Create new secret key Copy immediately (shown only once) Gmail Setup (if using Gmail) Google Account → Security Enable 2-Step Verification Search for "App Passwords" Generate app password for Mail Copy the 16-character password Step 2: Add Credentials to n8n (5 minutes) Add SerpAPI n8n Credentials → Add Credential Select "HTTP Query Auth" Name: api_key Value: [paste your SerpAPI key] Save Add OpenAI Add Credential → OpenAI Paste your API key Save Add SMTP Add Credential → SMTP Configure: Host: smtp.gmail.com Port: 587 Security: STARTTLS Username: your-email@gmail.com Password: [app password] Save Step 3: Configure Your Search (2 minutes) Click the "Settings" node and update: query - Your target job title ✅ Good: senior react developer ✅ Good: product manager saas ✅ Good: data scientist machine learning ❌ Bad: developer (too broad) location - Where you want to work For remote: Remote For city: San Francisco, CA For city: New York, NY For state: Texas 💡 Tip: Start with Remote for most options email - Your email address Use the SAME email from SMTP setup Example: yourname@gmail.com Step 4: Connect Credentials Click "Search Google Jobs" node → Select SerpAPI credential Click "Generate Letter" node → Select OpenAI credential Click "Send Email" node → Select SMTP credential Click "No Results Email" node → Select SMTP credential Step 5: Test & Activate Click "Execute Workflow" button (top right) Watch nodes light up green ✅ Wait 30-60 seconds Check your email inbox If successful → Toggle "Active" switch Done! You'll receive daily job digests 📧 What You'll Receive Each day, you'll get an email containing: Up to 4 highly relevant job listings** Company name and location for each Job description snippets AI-generated personalized cover letter** for each position Direct "Apply Now" button Source attribution (Google Jobs vs RemoteOK). An n8n automation workflow template by Shelly-Ann Davy.

By Rapiwa

Automatically Send WhatsApp Discount Codes to Shopify Customers Using Rapiwa Who is this for? This n8n workflow automatically sends WhatsApp promotional messages to top customers whenever a new discount code is created in Shopify. It’s perfect for store owners, marketers, sales teams, or support agents who want to engage their best customers effortlessly. The workflow fetches customer data, filters high-spending customers, verifies their WhatsApp numbers using the Rapiwa API, sends discount messages to verified contacts, and logs all activity in Google Sheets. Designed for non-technical users who don’t use the official WhatsApp Business API, this automation simplifies customer outreach and tracking without any manual work. What this Workflow Does This n8n workflow connects with a Google Sheet that contains a list of contacts. It reads rows marked for processing, cleans the phone numbers, checks their validity using Rapiwa's WhatsApp validation API, sends WhatsApp messages to valid numbers, and updates the status of each row accordingly. Key Features Runs Every 5 Minutes**: Automatically triggers the workflow Google Sheets Integration**: Reads and writes data from a specific sheet Phone Number Validation**: Confirms if a WhatsApp number is active via Rapiwa API Message Sending**: Sends a message using Rapiwa's /send-message endpoint Status Update**: Sheet is updated with success or failure status Safe API Usage**: Delays added between requests to prevent rate limits Batch Limit**: Processes max 60 rows per cycle Conditional Checks**: Skips rows without a "check" value Requirements A Google Sheet with necessary columns Rapiwa account** with active subscription (you can free 200 message) Your WhatsApp number connected to Rapiwa Valid Bearer Token n8n Instance** (self-hosted or cloud) Google Sheets node configured HTTP Request node access How to Use Step-by-Step Setup Webhook Receives Shopify Webhook (discount creation) via HTTP POST request. This is triggered when a discount is created in your Shopify store. Configure Google Sheets in n8n Use the Google Sheets node with OAuth2 access Get Rapiwa API Token Create an account on Rapiwa Connect your WhatsApp number Copy your Bearer Token from the Rapiwa dashboard Set Up HTTP Request Nodes Validate number via: https://app.rapiwa.com/api/verify-whatsapp Send message via: https://app.rapiwa.com/api/send-message Add your bearer token to the headers Google Sheet Column Structure A Google Sheet** formatted like this ➤ Sample | discount_code | created_at | shop_domain | name | number | verify | status | | -------------------------------------------- | ------- | ------------------------- | ----------------------- | -------------- | ------------- | ---------- | -------- | | V8ZGVRDFP5TB | 2025-09-25T05:26:40-04:00 | your_shop_domain | Abdul Mannan | 8801322827798| unverified | not sent | | V8ZGVRDFP5TB | 2025-09-25T05:26:40-04:00 | your_shop_domain | Abdul Mannan | 8801322827799| verified | sent | Support & Help Rapiwa Website:** https://rapiwa.com WhatsApp**: Chat on WhatsApp Discord**: SpaGreen Community Facebook Group**: SpaGreen Support Website**: https://spagreen.net Developer Portfolio**: Codecanyon SpaGreen. An n8n automation workflow template by Rapiwa.

By Adnan Tariq

What this template does Batch-evaluates compliance controls from Google Sheets using the CyberPulse Compliance API. Each control is scored, mapped to selected frameworks, enriched with crosswalk mappings, and summarized with AI-generated findings and recommendations. How it works Read from Sheets → Build control text (response_text + implementation_notes) → CyberPulse Compliance (scoring, mapping, AI summary) → Normalize → Append results to Sheets. Setup (5–10 min) Add Google Sheets + CyberPulse HTTP Header Auth credentials. Replace YOUR_SHEET_ID and sheet names. Provide your Crosswalk JSON URL (raw GitHub or API endpoint) or use this url: https://www.cyberpulsesolutions.com/xw.json Select frameworks to evaluate against. Run a small test, then full batch. CyberPulse API (required for production) Use hosted scoring/mapping (no local ML code). Create a CyberPulse HTTP Header Auth credential with API Key. In the node: paste Crosswalk URL, select frameworks, set credential. For large sheets, add a short Wait or reduce batch size. Input columns control_id control_description response_text implementation_notes evidence_url_1 … evidence_url_4 Output columns status evaluation score confidence rationale categories evidence_count mapped_count mapping_flat frameworks_selected engine_version ai_summary ai_findings (3 per control) ai_recommendations (3 per control) Troubleshooting No rows → check sheet ID and range. Empty mappings → verify Crosswalk URL. Write errors → confirm results sheet + permissions. Learn more about CyberPulse Compliance Agent: https://www.cyberpulsesolutions.com/solutions/compliance-agent Start free: https://www.cyberpulsesolutions.com/pricing Email: info@cyberpulsesolutions.com. An n8n automation workflow template by Adnan Tariq.

By Yasser Sami

Human-in-the-Loop LinkedIn Post Generator (Telegram + AI) This n8n template demonstrates how to build a human-in-the-loop AI workflow that helps you create professional LinkedIn posts via Telegram. The agent searches the web, drafts content, asks for your approval, and refines it based on your feedback — ensuring every post sounds polished and on-brand. Who’s it for Content creators and marketers who want to save time drafting LinkedIn posts. SaaS founders or solopreneurs who regularly share updates or insights. Anyone who wants an AI writing assistant with human control in the loop. How it works / What it does Trigger: The workflow starts when you send a message to the Telegram bot asking it to write a LinkedIn post (e.g., “Write a LinkedIn post about AI in marketing”). Research: The AI agent uses the Tavily tool to search the web and gather context for your topic. Drafting: An AI model (OpenAI or Gemini) creates a professional LinkedIn post based on the findings. Human-in-the-loop: The bot sends the draft to you in Telegram and asks: “Good to go?” If you approve → The post is saved to a Google Sheet, ready to publish. If you disapprove and give feedback → The feedback is sent to a second AI agent that revises and improves the post. The improved draft is sent back to you again for final approval. Finalization: Once approved, the post is appended to a Google Sheet — your ready-to-post content library. This workflow combines AI creativity with human oversight to produce polished, authentic LinkedIn content every time. How to set up Import this template into your n8n account. Connect your Telegram bot (via Telegram Trigger and Send Message nodes). Connect your Google Sheets account to store approved posts. Set up your AI model provider (OpenAI or Gemini) and Tavily API key for web search. Activate the workflow and start chatting with your AI writing assistant on Telegram! Requirements n8n account. Telegram bot token. OpenAI or Google Gemini account (for text generation). Tavily API key (for web search). Google Sheets account (for saving approved posts). How to customize the workflow Post Tone**: Adjust AI prompts to match your personal voice (professional, storytelling, inspirational, etc.). Approval Logic**: Modify the approval step to allow multiple revision loops or add a “draft-only” mode. Storage Options**: Instead of Google Sheets, save approved posts to Notion, Airtable, or your CMS. Multi-platform**: Extend the same logic for X (Twitter) or Threads by changing the final output destination. Branding**: Add your brand guidelines or preferred hashtags to the AI prompts for consistent style. This template helps you write better LinkedIn posts faster — keeping you in full control while AI does the heavy lifting. An n8n automation workflow template by Yasser Sami.

By Rahul Joshi

Description This workflow automatically detects bounced or invalid email addresses from your Gmail inbox and updates their status in Google Sheets. It fetches bounce notifications, extracts failed email addresses, and matches them against your contact list to update each record’s status as “Not Found” (bounced) or “Not Sent” (no bounce). Additionally, it runs a daily scheduled summary that sends bounce statistics to Slack, helping marketing or sales teams maintain clean, up-to-date mailing lists. What This Template Does (Step-by-Step) 📬 Fetch Bounce Notifications from Gmail Retrieves bounce messages automatically filtered by sender mailer-daemon@googlemail.com. 🔢 Get Latest 5 Bounces Sorts all bounce emails by date and limits processing to the five most recent to keep performance fast and focused. 🔍 Parse Bounced Email Addresses Extracts failed email addresses from Gmail message snippets using regex pattern matching. 📋 Fetch All Email Contacts from Google Sheets Loads all contact records from your “Fraud Email” sheet, including columns like Name, Email, Status, and Last Updated. 🔗 Combine Bounce Data with Contact List Merges parsed bounce results with your existing contact data to prepare for status updates. ✅ Match & Update Contact Status Marks “Not Found” for bounced emails. Marks “Not Sent” for valid but inactive ones. Updates “Last Updated” timestamp for all. 💾 Write Updated Status Back to Sheet Pushes updated contact information (Status and Last Updated) back into Google Sheets, ensuring centralized record accuracy. ⏰ Daily 7PM Trigger Automatically starts the summary workflow every evening at 7:00 PM. 🧮 Calculate Summary Statistics Counts total invalid emails (“Not Found”) and inactive ones (“Not Sent”). 💬 Send Slack Daily Summary Sends a formatted report to your #email-cleanup Slack channel showing: 📧 Invalid email count 📭 No activity count ✅ Reminder to maintain list hygiene Prerequisites Gmail account connected with n8n Google Sheet (Fraud Email) with contact data Slack workspace and channel for daily reports n8n instance (cloud or self-hosted) Step-by-Step Setup Connect Gmail → Fetch bounce notifications. Add Google Sheet → Load and update contact data. Parse bounces → Identify failed email addresses. Merge & update → Sync statuses in Google Sheet. Enable daily trigger → Schedule Slack summaries. Customization Ideas 🎯 Expand bounce limit beyond 5 recent messages. 📢 Add a Gmail label like “Bounced” after processing. 📚 Integrate with HubSpot or Airtable for CRM sync. 💡 Include timestamps or sender domains in Slack summary. Key Benefits ✅ Keeps mailing lists accurate and deliverable ✅ Saves hours of manual bounce management ✅ Automates email hygiene with zero supervision ✅ Provides transparent daily Slack reports ✅ 100% automated, efficient, and scalable Perfect For 👥 Marketing and outreach teams managing bulk campaigns 🏢 Businesses maintaining verified contact databases 📊 Sales teams using Gmail and Google Sheets ⚙️ Agencies ensuring top-tier email deliverability. An n8n automation workflow template by Rahul Joshi.

By Rahul Joshi

Description Automatically generate and distribute detailed End-of-Day (EOD) reports combining task progress from ClickUp and opportunity data from GoHighLevel. This workflow uses AI to analyze daily performance, summarize key metrics, identify blockers, and deliver polished reports directly to Slack, Email, and Google Drive. ⚙️📊💬 What This Template Does Triggers automatically every weekday at 6:00 PM (Mon–Fri). ⏰ Fetches all completed ClickUp tasks and won GoHighLevel opportunities for the day. 📥 Merges and transforms both datasets into a unified structure. 🔄 Uses Azure OpenAI GPT-4 to analyze performance and generate structured summaries. 🤖 Formats three output versions — Slack (Markdown), Email (HTML), and Google Drive (Text). 🧾 Routes and sends reports automatically to connected channels. 📤 Uploads the generated text report to Google Drive with timestamped filenames. ☁️ Key Benefits ✅ Saves time by automating daily performance reporting. ✅ Unifies task and deal data into a single AI-generated summary. ✅ Provides real-time visibility into productivity and outcomes. ✅ Delivers beautifully formatted, channel-specific reports. ✅ Maintains historical reports in Google Drive for reference. ✅ Helps managers identify wins, blockers, and next steps quickly. Features Automated scheduling via cron (Mon–Fri, 6 PM). ClickUp task and GHL opportunity integration for daily data sync. AI-powered analysis for contextual, actionable summaries. Dynamic formatting for Slack, Email, and Drive outputs. Parallel routing for simultaneous delivery across platforms. No manual steps — runs fully hands-free after setup. Requirements ClickUp OAuth2 credentials for task retrieval. GoHighLevel OAuth2 credentials for deal data. Azure OpenAI GPT-4 API credentials. Slack Bot credentials for message posting. SMTP (Gmail/Outlook) credentials for email reports. Google Drive OAuth2 credentials for report upload. Target Audience 🎯 Sales, marketing, and operations teams tracking daily performance. 📈 Project managers monitoring team productivity and blockers. 🤝 Client success teams summarizing EOD outcomes for leadership. 🧠 Business automation teams seeking end-of-day visibility. Step-by-Step Setup Instructions Connect ClickUp, GoHighLevel, Slack, Gmail/SMTP, and Google Drive credentials. 🔑 Set your team, space, folder, and list IDs in the ClickUp node. 📋 Update your Slack channel ID in the Slack node configuration. 💬 Configure your email sender and recipients in the email node. 📧 (Optional) Modify the cron expression for different reporting times. ⏰ Test the workflow manually once, then activate for automated EOD execution. ✅. An n8n automation workflow template by Rahul Joshi.

By Intuz

This n8n template from Intuz provides a complete solution to automate your order creation process. It seamlessly syncs order data from an Airtable base directly to your Shopify store, creates the official order, and automatically sends a beautiful confirmation email to the customer, closing the loop by updating the status in Airtable. Who's this workflow for? E-commerce Managers Operations Teams Businesses with Custom Order Processes (e.g., B2B, phone orders, quotes) Shopify Store Owners using Airtable as a CRM How it works 1. Triggered from Airtable: The workflow starts instantly when an Airtable Automation sends a signal via a webhook. This happens when you mark an order as ready to be processed in your Airtable base. 2. Fetch Order Details: n8n receives the record ID from Airtable and fetches the complete order details, including customer information and the specific line items for that order. 3. Create Order in Shopify: All the gathered information is used to create a new, official order directly in your Shopify store. 4. Send Confirmation Email: Once the order is successfully created in Shopify, a professionally formatted HTML order confirmation email is sent to the customer via Gmail. 5. Update Airtable Status: Finally, the workflow updates the original order record in Airtable, marking its status as "Done" to prevent duplicate processing and keep your records in sync. Key Requirements to Use This Template 1. n8n Instance: An active n8n account (Cloud or self-hosted). 2. Airtable Base: An Airtable base on a "Pro" plan or higher (required for Airtable Automations). It should contain tables for Orders and Order Line Items. 3. Shopify Store: An active Shopify store with API access permissions. 4. Gmail Account: A Gmail account to send confirmation emails. Setup Instructions 1. Configure the n8n Workflow: Webhook Node: Activate the workflow to get the Production URL from the "Webhook" node. Copy this URL. Airtable Nodes: In the Get a record and Update record nodes, connect your Airtable credentials and select the correct Base and Table IDs. Shopify Node: In the Create an order node, connect your Shopify store using OAuth2 credentials. Gmail Node: In the Send a message node, connect your Gmail account. 2. Set Up the Airtable Automation (Crucial Step): Go to your Airtable base and click on "Automations". Create a new automation. For the trigger, select "When a record meets conditions". Choose your Orders table and set a condition that makes sense for you (e.g., When "Shopify Ordered" is "Pending"). For the action, choose "Run a script". Paste the code below into the script editor: JavaScript const inputConfig = input.config(); const recordId = inputConfig.recordId; const webhookUrl = 'PASTE_YOUR_N8N_PRODUCTION_URL_HERE'; await fetch(webhookUrl, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ recordId: recordId }), }); ReplacePASTE_YOUR_N8N_PRODUCTION_URL_HERE with the Production URL you copied from n8n. Add an input variable to the script named recordId and set its value to the "Airtable record ID" from the trigger step. Test the script and turn your Airtable Automation ON. Connect with us Website: https://www.intuz.com/n8n-workflow-automation-templates Email: getstarted@intuz.com LinkedIn: https://www.linkedin.com/company/intuz Get Started: https://n8n.partnerlinks.io/intuz For Custom Workflow Automation Click here- Get Started. An n8n automation workflow template by Intuz.

By Jan Zaiser

This n8n template demonstrates how to automatically process incoming invoice emails using AI to extract structured data, organize files in Google Drive, log everything in Google Sheets, and forward to your accounting system, completely hands-free. Use cases are many: Perfect for freelancers managing client invoices, small businesses handling supplier bills, accounting departments processing high invoice volumes, or anyone who wants to eliminate manual data entry and maintain a perfectly organized invoice archive! Good to know The AI extraction works with most standard invoice formats but may require prompt adjustments for unusual layouts. Ensure your IMAP email account allows external app connections and has sufficient storage for the archive folder. Google Drive folder structure is automatically created if it doesn't exist yet. How it works The IMAP Email trigger monitors your inbox for new messages with attachments. JavaScript splits multiple attachments into separate items, ensuring each invoice is processed individually. PDF text extraction reads the content from each invoice file. An AI model (like OpenAI or Gemini) analyzes the extracted text and identifies key fields: company name, invoice number, date, amount, VAT, and more. Additional date metadata is generated (month, year, formatted dates) for smart categorization. The invoice PDF is uploaded to a temporary "Incoming Files" folder on Google Drive for safe processing. The workflow searches for or creates the correct monthly folder (e.g., "Invoices / October 2025") in your Drive structure. The invoice is moved to the final destination with a clean, standardized filename: 2025-10-02_Company-Name_InvoiceNumber.pdf. All extracted data is logged to Google Sheets for easy tracking, reporting, and audit trails. The finalized invoice is forwarded to your DateV accounting email inbox. The original email is automatically moved to an archive folder, keeping your inbox clean and organized. How to use The IMAP trigger is configured for continuous monitoring, but you can adjust the polling interval based on your needs. Customize the AI prompt to match your specific invoice formats or extract additional fields relevant to your business. The folder structure on Google Drive can be modified to match your existing organization system. Requirements IMAP-enabled email account (Gmail, Outlook, or any email provider supporting IMAP) Google Drive account for file storage Google Sheets for invoice logging AI model access (OpenAI, Gemini, or compatible LLM for data extraction) DateV email address (or replace with your preferred accounting system) Customising this workflow Replace the DateV email step with integrations to other accounting platforms like Xero, QuickBooks, or Lexoffice. Add conditional logic to route different invoice types to different folders or sheets. Extend the AI extraction to include line items, payment terms, or custom fields specific to your industry. Connect additional notifications via Slack, Teams, or SMS when high-value invoices are received. Disclaimer: The node to move the e-mail is a community-node, so it’s only for self-hosting. An n8n automation workflow template by Jan Zaiser.

By Connor Provines

Analyze email performance and optimize campaigns with AI using SendGrid and Airtable This n8n template creates an automated feedback loop that pulls email metrics from SendGrid weekly, tracks performance in Airtable, analyzes trends across the last 4 weeks, and generates specific recommendations for your next campaign. The system learns what works and provides data-driven insights directly to your email creation process. Who's it for Email marketers and growth teams who want to continuously improve campaign performance without manual analysis. Perfect for businesses running regular email campaigns who need actionable insights based on real data rather than guesswork. Good to know After 4-6 weeks, expect 15-30% improvement in primary metrics Requires at least 2 weeks of historical data to generate meaningful analysis System improves over time as it learns from your audience Implementation time: ~1 hour total How it works Schedule trigger runs weekly (typically Monday mornings) Pulls previous week's email statistics from SendGrid (delivered, opens, clicks, rates) Updates the previous week's record in Airtable with actual performance data GPT-4 analyzes trends across the last 4 weeks, identifying patterns and opportunities Creates a new Airtable record for the upcoming week with specific recommendations: what to test, how to change it, expected outcome, and confidence level Your email creation workflow pulls these recommendations when generating new campaigns After sending, the actual email content is saved back to Airtable to close the loop How to set up Create Airtable base: Make a table called "Email Campaign Performance" with fields for week_ending, delivered, unique_opens, unique_clicks, open_rate, ctr, decision, test_variable, test_hypothesis, confidence_level, test_directive, implementation_instruction, subject_line_used, email_body, icp, use_case, baseline_performance, success_metric, target_improvement Configure SendGrid: Add API key to the "SendGrid Data Pull" node and test connection Set up Airtable credentials: Add Personal Access Token and select your base/table in all Airtable nodes Add OpenAI credentials: Configure GPT-4 API key in the "Previous Week Analysis" node Test with sample data: Manually add 2-3 weeks of data to Airtable or run if you have historical data Schedule weekly runs: Set workflow to trigger every Monday at 9 AM (or after your weekly campaign sends) Integrate with email creation: Add an Airtable search node to your email workflow to retrieve current recommendations, and an update node to save what was sent Requirements SendGrid account with API access (or similar ESP with statistics API) Airtable account with Personal Access Token OpenAI API access (GPT-4) Customizing this workflow Use different email platform**: Replace SendGrid node with Mailchimp, Brevo, or any ESP that provides statistics API—adjust field mappings accordingly Add more metrics**: Extend Airtable fields to track bounce rate, unsubscribe rate, spam complaints, or revenue attribution Change analysis frequency**: Adjust schedule trigger for bi-weekly or monthly analysis instead of weekly Swap AI models**: Replace GPT-4 with Claude or Gemini in the analysis node Multi-campaign tracking**: Duplicate the workflow for different campaign types (newsletters, promotions, onboarding) with separate Airtable tables. An n8n automation workflow template by Connor Provines.

By Abhiman Sundararajan

This workflow automatically converts Telegram text or voice messages into Notion tasks by using AI to extract the task name and due date, allowing users to approve or decline tasks directly in Telegram before they are created. It is designed for students managing assignments, professionals tracking tasks from messaging apps, productivity enthusiasts looking to automate task entry, and teams using Notion for organized task management. Detailed Use Case This template turns casual Telegram messages and voice notes into confirmed Notion tasks by handling transcription, AI extraction, validation, and user approval. Typical scenarios include: Students:** Record or type assignment details after class → transcribe, extract title + due date → confirm → save to Notion. Managers:** Capture meeting action items in chat → extract tasks and deadlines → verify with one tap → add to project database. Freelancers:** Log client requests by voice → confirm parsed due date → create a tracked task in Notion. Productivity users / teams:** Quickly funnel ad-hoc requests from Telegram into a single Notion workspace without manual copy/paste. Key benefits: automated transcription, structured extraction (TaskName + TaskDue), quick user approval in Telegram, and reliable Notion mapping for immediate tracking. Prerequisites for this Workflow n8n instance** Active and publicly reachable for webhook triggers. Telegram bot** Create via BotFather, copy Bot Token, and get chat ID. Transcription API** I use Google Gemini Free Tier, but you can use Groq, OpenAI, or any other provider. Add your API key / credentials in n8n. Notion integration & database** Integration token added to n8n. Database structure must include: Title (Title property) → Task Name Date (Date property) → Task Due Date Share the database with the integration and copy the Database ID. n8n node setup basics** Telegram Trigger node for messages. Telegram Get File node (Download = true) for voice notes. Transcription node connected to your chosen provider. AI Extractor node to get TaskName and TaskDue. Notion node with mapped properties (TaskName → Title, TaskDue → Date). For any doubts or questions, contact: contact@abhiman.io or connect on LinkedIn: https://www.linkedin.com/in/abhimangs/. An n8n automation workflow template by Abhiman Sundararajan.

By Abdullah Alshiekh

📈 Automated Customer Rewards Platform: Jotform Integration This blueprint details a highly efficient, AI-powered workflow designed to automate customer reward fulfillment. Leveraging the accessible interface of Jotform, this system delivers superior reliability and exceptional processing speed. 📊 Reliability, Productivity, and Performance This workflow is engineered to maximize operational efficiency and maintain data integrity: Instant Fulfillment: Automation handles receipt scanning (OCR), AI calculation, logging, and notification in seconds, eliminating manual delays. Seamless Data Capture: Leverages the user-friendly Jotform interface for fast, reliable customer submission and file uploads. 🛠️ Quick Configuration Guide Jotform Webhook:* In your *JotForm* settings, paste the n8n *Jotform Trigger URL** into the Webhook Integration. Done. API Access:* Generate a *"Full Access"** JotForm API key and insert it into the required n8n nodes (Jotform Trigger and Fetch All Receipts). Credential Setup:** Plug in your necessary API keys (Gemini, OCR.Space) and update the Notion Database ID and internal email recipient. 🚀 How It Works (Practical Flow) Submission:* Customer submits their request via *Jotform**. Processing:** System extracts text from the receipt (OCR), the AI calculates the reward, and the If node verifies the total. Fulfillment:** Transaction logged, confirmation emails sent to both the customer and the internal team. If you need any help Get in Touch. An n8n automation workflow template by Abdullah Alshiekh.

By Rahul Joshi

Description Automate your team's daily stand-ups with AI-powered morning briefs, directly pulled from ClickUp tasks and shared via Slack and Gmail every morning. ☀️📋💬 What This Template Does Triggers automatically at 9:15 AM each morning via cron. ⏰ Fetches the latest sprint and all active or due-today tasks from ClickUp. Categorizes tasks by status, priority, and assignee for clear visibility. Uses Azure OpenAI GPT-4o to generate a detailed, structured morning summary. Formats the AI summary into a clean HTML email and a Slack post. Sends automated updates to Gmail and Slack channels. Includes real-time error detection and Slack alerts for quick debugging. Key Benefits ✅ Eliminates manual stand-up prep by generating AI-driven daily reports. ✅ Keeps teams aligned with clear task summaries and blocker tracking. ✅ Automatically distributes updates across Slack and Gmail. ✅ Provides HTML-formatted emails and Slack markdown summaries. ✅ Reduces time spent on daily check-ins and sprint reviews. Features Fully automated daily scheduling using cron triggers. Real-time task fetching and categorization from ClickUp. GPT-4-powered summarization for executive-style briefs. Responsive HTML email builder for beautiful reports. Slack integration for quick, shareable updates. Error handling with dedicated Slack notifications. Requirements ClickUp OAuth2 credentials for task access. Azure OpenAI GPT-4o API credentials for summary generation. Slack API credentials for channel posting. Gmail OAuth2 credentials for sending email reports. Target Audience Project managers and team leads needing automated daily briefings 👩‍💼 Development teams using ClickUp for sprint and task tracking 💻 Agencies or operations teams coordinating across tools 🔄 Remote teams seeking quick alignment and productivity boosts 🌍 Step-by-Step Setup Instructions Connect your ClickUp account via OAuth2 and update Team, Space, and Folder IDs. ⚙️ Add Azure OpenAI GPT-4o credentials for AI summary generation. 🤖 Configure Slack OAuth2 credentials and set the target channel ID. 💬 Connect Gmail OAuth2 and define recipient email addresses. 📧 Customize the schedule trigger time (default: 9:15 AM). 🕒 Test the workflow to verify proper data retrieval and message delivery. 🚀. An n8n automation workflow template by Rahul Joshi.

By Rahul Joshi

Description This workflow acts as a CI/CD-style test harness for validating other n8n workflows. It executes a target workflow (here: Archive Payment Receipts), evaluates pass/fail outcomes, and generates structured reports. Results are automatically archived to Google Drive, logged in Google Sheets, and synced with ClickUp for visibility. Both success and failure scenarios are handled with standardized formatting. What This Template Does (Step-by-Step) ⚡ Manual Trigger – Start the test run manually. ▶️ Execute Target Workflow Under Test – Calls the specified workflow (Archive Payment Receipts) and captures its output, even if it errors. ✅ Test Result Evaluation (If Node) – Checks if the output contains errors. Pass Path → success formatting + archival. Fail Path → failure formatting + logging. 📄 Format Success Test Result (Set Node) – Creates a structured result object with: Status: ✅ Passed Workflow Name Timestamp 📄 Format Failed Test Result (Set Node) – Same as above, but with ❌ Failed status. 📝 Generate Success/Failure Report Text (Code Node) – Converts structured data into a human-readable report string. 📦 Convert Report to Text File – Transforms the text into a .txt file for archiving. ☁️ Archive Reports to Google Drive – Saves .txt files (success/failure) into the resume store folder with timestamped filenames. ✏️ Update ClickUp Task (Success/Failure) – Posts results directly into a ClickUp task for visibility. 📊 Log Error Details to Error Tracking Sheet (Google Sheets) – Appends raw error objects to an error log sheet for debugging and trend analysis. Prerequisites Target workflow to test (e.g., Archive Payment Receipts) Google Drive folder for report storage Google Sheets (Error Log tab) ClickUp API credentials n8n instance Key Benefits ✅ Automates workflow regression testing ✅ Captures pass/fail outcomes with full audit trail ✅ Maintains error logs for debugging and reliability improvements ✅ Keeps stakeholders updated via ClickUp integration ✅ Supports compliance with archived test reports Perfect For Teams running workflow QA & testing Organizations needing audit-ready test reports DevOps pipelines with continuous validation of automations Stakeholders requiring real-time visibility into workflow health. An n8n automation workflow template by Rahul Joshi.

By Rahul Joshi

Description Generate personalized first-touch messages for every new lead — automatically. This workflow researches each company using AI, crafts a natural opener referencing their mission or focus, and writes the result back to your Google Sheet. Perfect for SDRs, founders, and marketers who want outreach personalization without the manual work. ✨ What This Template Does Fetches lead data from Google Sheets (e.g., company, geography, category). 📄 Uses Azure OpenAI GPT-4o-mini to research each company’s mission, focus, and audience. 🧠 Generates a 2-sentence personalized message tailored for outreach. 💬 Parses AI output into structured fields (company info + message). 🧩 Writes the personalized message back to the original sheet for tracking. 💾 Runs in batches to process leads one by one efficiently. 🔁 Key Benefits Create authentic, tailored messages for every lead — instantly. 🚀 Save hours of manual research and copywriting. ⏱️ Keep all personalization data centralized in Google Sheets. 📊 Scalable and repeatable for any lead list. ♻️ Uses cost-efficient GPT-4o-mini for fast responses. ⚡ Features Manual or scheduled trigger to process new leads. ▶️ Google Sheets integration for lead data input/output. 🔗 AI research and personalization via Azure OpenAI GPT-4o-mini. 🤖 Structured JSON parsing for clean, usable output. ✨ Automatic update to the “Personalised message” column in your sheet. 💬 Visual documentation with sticky notes for clarity. 🗒️ Requirements n8n instance (cloud or self-hosted). 🧰 Google Sheet with columns: Account, Geography, Category, Personalised message. 📑 Azure OpenAI API connection (GPT-4o-mini). ☁️ Google Sheets OAuth credentials linked to n8n. 🔐 Target Audience SDRs and sales teams scaling personalized outreach. 🎯 B2B marketers automating LinkedIn or email personalization. 💌 Founders or agencies building warm first-touch messages for prospects. 🤝 Step-by-Step Setup Instructions (Concise) Prepare a Google Sheet with required columns. 📋 Connect Google Sheets credentials in n8n. 🔑 Add your Azure OpenAI connection and set model to GPT-4o-mini. 🧠 Import and test the workflow with a few sample leads. 🧪 Adjust message tone or structure in the system prompt if needed. 🧩 Run manually or schedule the workflow for automation. ⏰ Security Best Practices Share your Google Sheet only with the n8n service account (Editor access). 🔒 Keep API keys and credentials stored securely in n8n. 🛡️ Validate AI outputs before using them in outreach tools. ✅ Regularly back up your sheet and clean old data. 🧹. An n8n automation workflow template by Rahul Joshi.

By CustomJS

> ⚠️ Notice: > This workflow uses the HTML to Docx node from customjs.space, which requires a self-hosted n8n instance and a CustomJS API key. Landingpage → NDA Word Document (Docx) → Email Workflow This workflow demonstrates how to: Serve a landing page for requesting an NDA. Receive form submissions from users. Generate a Word Document (Docx) version of the NDA populated with the submitted data. Send the completed NDA via email to a recipient. Workflow Overview 1. Landingpage Endpoint Node:** Landingpage Endpoint (Webhook) Hosts the landing page and passes the URL dynamically to the HTML node. 2. Set Form Endpoint Node:** Set Form Endpoint Stores the landing page webhook URL into a variable FormEndpoint for the HTML form to submit to. 3. HTML for Landingpage Node:** HTML for Landingpage Renders a user-friendly landing page with a form for users to fill in their personal details: First Name Last Name Address House No. Postal Code City Country Includes success and error messages after submission. Submits data as JSON to the FormData Endpoint. 4. Respond to Webhook Node:** Respond to Webhook Returns the landing page HTML to the visitor when accessing the landing page URL. 5. FormData Endpoint Node:** FormData Endpoint (Webhook) Receives the submitted form data from the landing page. Passes data to the NDA (HTML Version) node. 6. NDA (HTML Version) Node:** NDA (HTML Version) Generates a personalized NDA document in HTML using the submitted form data: Populates recipient details (name, address, city, country, etc.) NDA clauses include: Definition of Confidential Information Obligations of the Recipient Exclusions Duration Return or Destruction of information Governing Law (England & Wales) 7. HTML to Docx Node:** HTML to Docx Converts the HTML NDA to a Word Document (Docx) using the CustomJS PDF/Docx Toolkit. Requires a CustomJS API key (Coding Service credential). 8. Send Email Node:** Send email Sends the generated NDA Docx as an email attachment. Email configuration: From: test@test.de To: test@testmail.com Subject: NDA Body Text: Hello, Here is the requested NDA form. Best Henrik Uses SMTP credentials for sending emails. Notes Sticky Notes** provide internal documentation and guidance for the workflow: Sticky Note1 – Landingpage server info Sticky Note – FormData endpoint info Dynamic Form Submission**: The form posts JSON to the FormData Endpoint. Automation Flow**: Landingpage → Form Submission → NDA HTML → Docx → Email Requirements Self-hosted n8n instance CustomJS API key SMTP credentials Optional: Tailwind CSS CDN for landing page styling Customization Tips Landing Page Styling**: Adjust the HTML for Landingpage node for branding, colors, or additional fields. NDA Content**: Edit the NDA (HTML Version) node to change NDA clauses or layout. Email Settings**: Change Send email node to modify sender, recipient, or message content. Field Mapping**: Ensure all form input names match the NDA template placeholders. An n8n automation workflow template by CustomJS.

By CustomJS

> ⚠️ Notice: > Community nodes like @custom-js/n8n-nodes-pdf-toolkit-v2 can be installed on both self-hosted and Cloud instances of n8n. Just search for it via CustomJS. This n8n workflow demonstrates how to collect form submissions from a landing page, fill a PDF form automatically, and send it via email. It uses the PDF Form Fill node from customjs.space to populate PDF fields with the submitted data. What this workflow does Serves a landing page with a user-friendly form. Receives form submissions via a Webhook. Uses the HTTP Request node to fetch a PDF template. Fills the PDF form fields with the submitted data using the PDF Form Fill node. Optionally reads PDF form field names using Get PDF Form Fields. Sends the completed PDF as an email attachment. Requirements Self-hosted or cloud n8n instance. CustomJS API key for the PDF Toolkit nodes. SMTP account for sending emails. Optional: Access to the PDF template online. Workflow Steps Landingpage Endpoint (Webhook) Serves the landing page HTML to visitors. Set Form Endpoint Dynamically injects the endpoint URL into the HTML form. HTML for Landingpage Provides the form where users enter personal information (name, address, city, country, etc.). Respond to Webhook Returns the landing page HTML to the visitor. FormData Endpoint (Webhook) Receives the submitted form data as JSON. HTTP Request – Get PDF Template Fetches the PDF form template from a URL. PDF Form Fill (Fill PDF Fields) Populates the PDF with the submitted form data. Get PDF Form Fields (Optional) Reads and lists the names of the form fields in the PDF. Send Email Sends the completed PDF as an attachment to a configured recipient. Sticky Notes Provide documentation within the workflow for easier understanding and maintenance. Usage Get API key from CustomJS Sign up on the CustomJS platform. Navigate to your profile page and copy your API key. Set Credentials for CustomJS API in n8n Create a new credential in n8n with your API key. Prepare SMTP Credentials Add your SMTP server credentials to n8n for sending emails. Run or schedule the workflow The workflow will serve the landing page, fill the PDF form with submissions, and send it via email. Customization Tips Modify the landing page form** in the HTML node to add or remove fields. Change PDF template URL** in the HTTP Request node. Add more recipients** or dynamic email addresses in the Send Email node. Track submitted form data** in Google Sheets or a database for long-term storage. Extend workflow logic** with validation or notifications using additional nodes. An n8n automation workflow template by CustomJS.

By Daniel Nkencho

Daily AI News Digest from Hacker News with GPT Summaries and Email Delivery Automate your daily AI news briefing: fetch AI-tagged stories from Hacker News, filter for the last 24 hours, scrape and summarize with GPT, then deliver a clean HTML email digest—no manual curation needed. What It Does Runs on schedule to fetch up to 1000 Hacker News stories tagged "AI", filters for today's posts, loops through each to scrape content from source URLs, generates concise AI summaries via OpenAI GPT, aggregates into a styled HTML newsletter, and sends via email. Setup Requirements Credentials Needed: OpenAI API Key**: Get from platform.openai.com/api-keys, add as "OpenAI" credential in n8n SMTP Server**: Configure email credentials (Gmail, Zoho, etc.) in n8n's SMTP settings Configuration Steps: Import workflow JSON into n8n Add OpenAI credential to "GPT 5 pro" node Add SMTP credential to "Send email" node Update fromEmail and toEmail fields in "Send email" node Set schedule in "start" trigger node (default: daily) Activate workflow Key Features Smart Filtering**: Fetches 1000 stories, filters last 24 hours using date expressions AI Summarization**: GPT generates heading + 2-sentence summaries with links Reliable Scraping**: HTTP requests with markdown conversion for clean LLM input Batch Processing**: Loops through items, processes sequentially Responsive Design**: Mobile-friendly HTML email template with inline CSS Aggregation**: Combines all summaries into single digest Customization Options Change Keywords**: Modify "AI" filter in "Get many items" node Adjust Timeframe**: Edit date filter in "Today" node Tweak Summaries**: Customize GPT prompt in "News Summary Agent" node Email Styling**: Update HTML/CSS in "Send email" node Schedule**: Change frequency in "start" trigger Use Cases Personal daily AI briefings for researchers/developers Team knowledge sharing via automated newsletters Content curation for blogs or social media Trend monitoring for marketers Troubleshooting No stories returned**: Check HN API limits, verify keyword filter Scraping failures**: Some sites block bots—proxy noted in workflow but may need updates Email not sending**: Verify SMTP credentials and test connection Poor summaries**: Adjust GPT prompt or switch model Execution Time: 2-10 minutes depending on story count. An n8n automation workflow template by Daniel Nkencho.

By Bohdan Saranchuk

This n8n template automates your customer support workflow by connecting Gmail, OpenAI, Supabase, and Slack. It listens for new incoming emails, classifies them using AI, routes them to the appropriate Slack channel based on category (e.g., support or new requests), logs each thread to Supabase for tracking, and marks the email as read once processed. Good to know • The OpenAI API is used for automatic email classification, which incurs a small per-request cost. See OpenAI Pricing for up-to-date info. • You can easily expand the categories or connect more Slack channels to fit your workflow. • The Supabase integration ensures you don’t process the same thread twice. How it works Gmail Trigger checks for unread emails. Supabase Get Row verifies if the thread already exists. If it’s a new thread, the OpenAI node classifies the email into categories such as “support” or “new-request.” The Switch node routes messages to the correct Slack channel based on classification. Supabase Create Row logs thread details (sender, subject, IDs) to your database. Finally, the Gmail node marks the message as read to prevent duplication. How to use • The workflow uses a manual Gmail trigger by default, but you can adjust the polling frequency. • Modify category names or Slack channels to match your internal setup. • Extend the workflow to include auto-replies or ticket creation in your CRM. Requirements • Gmail account (with OAuth2 credentials) • Slack workspace (with channel access) • OpenAI account for classification • Supabase project for storing thread data Customizing this workflow Use this automation to triage incoming requests, route sales leads to specific teams, or even filter internal communications. You can add nodes for auto-responses, CRM logging, or task creation in Notion or ClickUp. An n8n automation workflow template by Bohdan Saranchuk.

By JustCallMeBlue

Greetings! If you're in need of a quick and dirty cache that doesn't need anything other than the current version of N8N, boy do I have a dodgy script for you to try! Presenting a simple template for a cache layer using the new N8N Tables Beta! This flow can easily be adapted to meet your home lab or enterprise needs by swapping out the n8n tables nodes with a external database like redis or even a google sheet if one was so inclined. Why Would You Want This? It's simple really, ever had your flow crash because one of the API's you're using has a rate limit less than the 10,000 GET requests you're throwing at it per second (yawn). Well caching can help by adding a small buffer on your side if the data is not likely to change between requests. Simply add a call to this flow to check the cache and if there's nothing there it will throw a error which you can detect and respond to by grabbing fresh data from the API. How This Flow Works This flow does three simple steps in order. Check what you want to do to the cache table, read or write. If Reading, lookup the data | If writing, write the data. If Reading, validate and return | If writing, just return data written for chaining. This subflow will return the JSON.parse() representation of the string currently stored at the key in the cache table. This will be the same value written by the cache write input to this node if it has not expired. If no value is found in the cache table for the input key, then a error is thrown. Listen for this error by setting your error response mode to be {On Error: "Continue (Using Error Output)"} in the node settings. This is your signal to "refresh" the cache by writing a new value to the cache. Inputs Action Read Cache "cacheKey": {any string} Action Write Cache "cacheKey": {any string}, "trueToWrite": true, "writeValue": {any value including null. You are limited to data size of the table string field so don't stuff 20MB of JSON here.}, "writeTTLms": {optional, any number above 0 as milliseconds. Defaults to 10000} Setup Ok onto the good bit, how to set this up locally for yourself. This flow Requires the Beta version of N8N Tables to function, so update if you are running a older version. You will need a table called "cache" <- All lowercase. That table will need the following columns, again all lowercase: key: string ttl: datetime value: string Once you create this table, download, import, or copy paste the flow into your N8N. Got to every "table" node in the flow and update the settings of the node to point to your newly created table (Be sure to press the "refresh" icon in the node configuration menu to ensure you're binding to the correct columns in the table. It should appear after you update the table. It's small so keep a eye out). How to Use Call this flow via the Execute Sub-Flow node with the specified inputs. (Optional) You can also "activate" this flow to enable hourly cleaning of the cache table to help keep data sizes down. This is a example for a quick cache that can not / should not hold onto a large amount of data, be sure to pay attention to the current 50MB limit of tables as writing lots of large data blocks will result in limits being hit. Quick FAQ Why is this a Example not a proper cache? Good Question, glad you asked. This flow is "good enough" for a lot of simple usecases and should be replaced with a more robust caching solution when possible for better performance and memory is going to become a bottleneck. If you're just checking the weather API for yourself and a few friends to serve on your test app, this will be fine. If you're trying to create the next twitter (now called X) where there's gigs of data moving at any second, and you need a large cache to make sure your database doesn't go down, perhaps consider not using a N8N flow for that purpose. Ok so when should I use this then? Well like it was mentioned above, when you have relatively small amounts of data to store and it's not likely to change very often, then this flow should solve your problem. Quick examples of things to cache include: Checking the weather once daily and storing it. Scraping a webstore to check for a daily price of a product you're looking to buy once it's on sale. Checking google trends to see if your company is trending right now. Those examples seem odd, why'd you choose those? Because Caching is one of those hard things in computer science that no one really gets right "cache invalidation, naming things, and off-by-1 errors". Caching should be done on a case by case basis really. For example; the author of this workflow uses it behind some webhook flows for data that takes a long time to grab from the database but only changes 2-5 times a day. Do I have to do things the way you did? No? This is a example of something I threw together in a afternoon to solve a real problem I had. N8N is very flexible and this happened to work out for me. If you don't like the way the example names things or implements its cache invalidation: try things yourself and experiment, you may find that this example will solve your problems by itself without being overly complex. Only you know what will and wont work to solve your problems. An n8n automation workflow template by JustCallMeBlue.