Simple lead capture and follow-on with n8n multi-forms
This n8n template demonstrates the easiest way to build a lead capture flow for your side project, startup or small business where simple works best! If Typeform's costs are getting you down or you feel Google form URLs are off-putting, then definitely give this a try. How it works Our flow begins with a form trigger to capture a newsletter signup and the user's email is captured into a google sheet. Google Sheet is used for demonstration purposes but this could be any database. Multi-page forms allow you to continue the onboarding experience with a short survey. 3 form nodes are chained to capture more details from the user which update the same row in the google sheet. Finally, a form ending node shows a customised completion screen for our user. Check out the example sheet here: https://docs.google.com/spreadsheets/d/15W1PiFjCoiEBHHKKCRVMLmpKg4AWIy9w1dQ2Dq8qxPs/edit?usp=sharing How to use Keeping forms simple may serve to increase form completion rates. If you feel the need to add additional fields, consider breaking them up into more forms and group them contextually. Requirements Google Sheets for data capture Slack for notifications Feel free to swap these out for services that you use! Customising this workflow Play with multi-form design to maximise the opportunity of getting to know the user better. That said, lengthy flows are likely to put people off. Instead of showing a static completion screen, perhaps redirecting to your blog or other more interesting page.
By JimleukAutomated Facebook comment management with GPT-4o and LangChain
🤖 Facebook AI Agent with MCP Server – Built for Smart Engagement and Automation Hi! I’m Amanda 🥰😘 — I build intelligent automations with n8n and Make. This powerful workflow was designed to help teams automatically handle Facebook page interactions with AI. Using Meta Graph API, LangChain, MCP Server, and GPT-4o, it allows your AI agent to search for posts, read captions, fetch comments, and even reply or message followers, all through structured tools. --- 🔧 What the workflow does Searches for recent media using Facebook Page ID and access token Reads and extracts captions or media URLs Fetches comments and specific replies from each post Replies to comments automatically with GPT-generated responses Sends direct messages to followers who commented Maps user input and session to keep memory context via LangChain Communicates via Server-Sent Events (SSE) using your MCP Server URL --- 🧰 Nodes & Tech Used LangChain Agent + Chat Model with GPT-4o Memory Buffer for session memory toolHttpRequest to search media, comments, and send replies MCP Trigger and MCP Tool (custom SSE connection) Set node for input and variable assignment Webhook and JSON for Facebook API structure --- ⚙️ Setup Instructions Create your Facebook App in Meta Developer Portal Add your Facebook Page ID and Access Token in the Set node Update the MCP Server Tool URL in the MCP Facebook node Use your n8n server URL (e.g. https://yourdomain.com/mcp/server/facebook/sse) Trigger the workflow using the included LangChain Chat Trigger Interact via text to ask the agent to: “Get latest posts” “Reply to comment X with this message” “Send DM to this user about...” --- 👥 Who this is for Social media teams managing multiple Facebook pages Brands automating engagement with followers Agencies creating smart, autonomous digital assistants Developers building conversational bots for Facebook --- ✅ Requirements Meta Graph API access Facebook Page (with permissions) n8n instance (Cloud or Self-hosted) MCP Server configured (SSE Endpoint enabled) OpenAI API Key (for GPT-4o + LangChain) --- 🌐 Want to use this workflow? ❤️ Buy workflows: https://iloveflows.com ☁️ Try n8n Cloud: https://n8n.partnerlinks.io/amanda
By Amanda BenksAuto-generate SEO content from trends with GPT-4o, FAL AI & multi-storage
Who's it for Content creators, SEO specialists, and marketing teams who want to automatically generate SEO-optimized content based on trending topics—complete with AI-generated images, optional videos, and ready-to-publish HTML. How it works / What it does Webhook receives a request with use case and video preferences. Get Trends XLSX downloads a spreadsheet (created by the Social Media Trends workflow) from SharePoint. Select Topic from Trends randomly picks one trending topic from the spreadsheet. AI Agent (GPT-4o) generates bilingual newsletter content about the selected trend. Get Newsletter Template fetches your HTML template; Build Newsletter injects the AI content. Optional creative assets: • Pollinations AI → generates a 1080 × 1350 image. • FAL AI → creates video from the image + Lyria2 audio → merged via FFmpeg. Gmail Approval sends the draft for review; continues only on approval. Upload all files (HTML + JPG + video URL) to your chosen storage provider. How to set up Import the template into n8n (cloud or self-hosted). Create credentials: OpenAI, Microsoft 365 (SharePoint), Gmail, and FAL AI. Upload your HTML newsletter template to SharePoint (see yellow sticky note for required placeholders). Ensure you have a trends spreadsheet (from the Social Media Trends workflow) in your SharePoint folder. Update Configuration Settings with your ENV_* variables. Activate the workflow and POST to the webhook: { "text": "usecase: blog post, include_video: true" }. Requirements n8n 1.33 + OpenAI account Microsoft 365 tenant (SharePoint) Gmail account FAL AI API Key (for video generation) A trends spreadsheet (from the Social Media Trends workflow) How to customize Change storage provider: replace SharePoint upload nodes with Google Drive, Dropbox, or S3. Modify topic selection: edit Select Topic from Trends for different selection logic. Adjust content tone: tweak the prompt in Prepare Newsletter Data. Skip video generation: set include_video: false in the webhook request.
By plemeoGenerate personalized cold email icebreakers with Perplexity Research & Claude Sonnet
AI-Powered Lead Generation: Personalized Icebreakers with Perplexity Research & Claude Sonnet 4.5 This production-ready workflow transforms your lead generation by automatically researching prospects and generating genuinely personalized icebreakers that feel human-written. What normally takes 10-15 minutes per lead now happens in under a minute, at scale. 🎯 What It Does: Pulls lead data from Google Sheets, conducts real-time AI research on each prospect, and generates custom cold email opening lines that reference actual company achievements and recent news. The workflow processes leads in batches, updates your spreadsheet automatically, and maintains context throughout the entire process. Automated Research: Perplexity Sonar searches the web for current information about each prospect and their company Company Name Standardization: GPT-4o-mini cleans up corporate names to sound natural ("Sharp Guys Web Design Agency" becomes "Sharp Guys") Personalized Icebreakers: Claude Sonnet 4 crafts opening lines that reference real achievements in a casual, bar-conversation tone Smart Processing: Filters already-processed leads, handles batches of 25, and safely updates your spreadsheet Cost Effective: Approximately $0.02 per lead with typical 2-3x response rate improvement 💡 Use Cases & Results: Perfect for: B2B sales teams, marketing agencies, business development, recruiters, freelancers, startup founders doing cold outreach. Expected results: 2-3x response rate improvement ~$0.02 per lead cost 10-15 min → 30-60 sec per lead Why it works: Icebreakers reference real, current information vs generic templates. Prospects notice the personalization. 🔧 How It Works: The workflow follows a six-step process. First, it retrieves lead data from your Google Sheets and filters out any leads that already have icebreakers to avoid reprocessing. Then it processes leads in manageable batches of 25 to respect API rate limits while maintaining efficiency. For each lead, the system standardizes the company name by removing corporate suffixes like "Agency," "Inc.," or "Group" to make icebreakers sound more natural. Next, Perplexity Sonar conducts real-time web research on the prospect, finding recent company news, achievements, funding rounds, and relevant background information. Claude Sonnet 4 then analyzes this research and generates a personalized icebreaker that sounds genuinely human-written. The prompt instructs Claude to use a casual, spartan tone and to look for plausible connections without stretching the truth. Each icebreaker follows a proven format: "Hey [FirstName], [specific observation about their company], I wanted to share something that could be relevant for [Company]." Finally, the workflow updates your spreadsheet with both the cleaned company name and the personalized icebreaker, then loops back to process the next batch until all unprocessed leads are complete. ✨ Key Features: Real-time research: Perplexity Sonar accesses current web data for the most relevant, up-to-date information Natural language: Icebreakers reference real achievements in conversational tone, not corporate speak Batch processing: Handles 25 leads at a time with automatic looping for any volume Smart filtering: Skips leads that already have icebreakers, enabling easy reruns with new data JSON output: Structured format ready for integration with cold email tools Resume capability: Can stop and restart anytime without losing progress Quality assurance: AI models are specifically chosen for their strengths (speed, research, writing) 📋 Requirements: Google Sheets with lead data (columns: id, firstname, lastname, title, organizationname, Icebreaker, companyname_cleanup) OpenAI API key (for GPT-4o-mini company name cleanup) OpenRouter account with credits (for Perplexity Sonar and Claude Sonnet 4 access) n8n Cloud or self-hosted instance ⚡ Quick Setup: Prepare your Google Sheets spreadsheet with the required columns and fill in your lead data. Connect your Google Sheets, OpenAI, and OpenRouter credentials to n8n. Configure the "Get Leads" and "Update Icebreaker" nodes to point to your spreadsheet. Test with a couple of leads first to ensure everything works, then run the full workflow. The workflow includes comprehensive documentation via sticky notes covering data structure, AI model selection rationale, customization options, cost analysis. 🎁 What You Get: Complete end-to-end automation with detailed sticky note documentation explaining each step, customizable prompts for adjusting tone and style, batch processing logic that respects API limits, error handling and retry mechanisms, cost optimization using the right AI model for each task (GPT-4o-mini for simple transformations, Perplexity for research, Claude for writing), and security best practices for handling lead data responsibly. 💰 Expected Results: At approximately $0.02 per lead, this workflow typically delivers response rate improvements of 2-3x compared to generic templates. For a hundred leads, you invest about $2 and save over fifteen hours of manual research and writing time. The icebreakers sound genuinely human because they reference real, current information rather than generic templates. Many users report that prospects often respond positively to the personalized opening, commenting that it doesn't feel like a mass email. 🔄 Integration Ready: The output format is designed to integrate seamlessly with popular cold email tools like Instantly, Lemlist, Smartlead, and others. Simply export your updated spreadsheet and import the icebreakers into your outreach sequences. The casual tone and specific details make these icebreakers perfect for relationship-building campaigns where authenticity matters. Icebreaker Examples: https://docs.google.com/spreadsheets/d/1oxNW4l54fVjxq6Y62xRyqqQK6O3gCsmqmBhO2ei1Y/edit?usp=sharing
By AnatolyProduct ingredient safety analyzer with Google Gemini via WhatsApp
Product Ingredient Safety Analyzer with AI via WhatsApp What does this workflow do? This workflow creates an intelligent WhatsApp bot that analyzes product ingredients and provides instant safety assessments. Users can send either text queries (product names/brands) or images of product labels, and receive AI-powered analysis covering food, cosmetics, personal care, pharmaceuticals, and household products. Who's it for? Health-conscious consumers wanting to make informed purchasing decisions Parents checking product safety for their children People with allergies or sensitivities screening for harmful ingredients Beauty and skincare enthusiasts verifying cosmetic product safety Wellness coaches or nutritionists helping clients evaluate products Small business owners offering product safety consultation services Eco-conscious consumers checking for environmental toxins Anyone looking to understand what's in their everyday products What do you need to get started? Required Accounts & APIs: WhatsApp Business API - For receiving and sending messages Google Cloud Account - For Document AI (OCR) service Google Gemini API - For AI-powered ingredient analysis Setup Steps: Configure WhatsApp Business API credentials Enable Google Document AI in your Google Cloud project Create a Document AI processor for OCR Set up Google Gemini API access Configure all credentials in N8N How does this workflow work? User Input Options: Text Messages: Send product name/brand (e.g., "Dove soap", "Coca Cola") Images: Upload photos of product ingredient labels Conversational: Ask questions or request help Processing Flow: For Image Messages: WhatsApp receives image message Extracts and downloads the image Converts image to Base64 format Uses Google Document AI OCR to extract text AI analyzes extracted text + user caption Returns safety assessment via WhatsApp For Text Messages: WhatsApp receives text query AI directly analyzes product name/ingredients Returns safety assessment via WhatsApp AI Analysis Includes: Product type identification (food, cosmetic, pharmaceutical, etc.) Harmful ingredient detection (parabens, sulfates, trans fats, etc.) Beneficial ingredient highlights Clear safety verdict: ✅ SAFE / ⚠️ CAUTION / ❌ AVOID Practical recommendations and alternatives Response Format: The AI provides concise, WhatsApp-friendly messages with: Product category and type Key ingredients found Safety concerns with specific flags Clear recommendation Actionable advice Use Cases Health-conscious consumers checking food product ingredients Beauty enthusiasts verifying cosmetic safety Parents ensuring child product safety People with allergies screening for harmful ingredients Eco-conscious users checking for environmental toxins General wellness making informed purchase decisions Key Features Dual input support: Text and image processing OCR technology: Extracts text from product labels Multi-category analysis: Food, cosmetics, pharmaceuticals, household items Conversational AI: Handles greetings, help requests, unclear queries Mobile-optimized: WhatsApp-friendly formatting Instant results: Real-time safety assessments Educational: Explains why ingredients are safe or harmful Technical Highlights Smart routing: Automatically detects message type (text vs image) Structured output: JSON-formatted AI responses for reliability Product-specific criteria: Different analysis standards per category Error handling: Requests clearer images if OCR fails Conversational fallback: Guides users when information is insufficient Example Interactions User sends image of shampoo bottle: Response: "Hair Care Product Analysis - Contains sulfates and parabens. ⚠️ USE WITH CAUTION. Consider sulfate-free alternatives for healthier hair." User texts "Maggi noodles": Response: "Food Product Analysis - High sodium content, contains MSG and artificial colors. ❌ AVOID REGULAR CONSUMPTION. Occasional treat okay." User texts "Hi": Response: "Hi! I'm your Product Safety Analyzer. Send me a product name or photo of ingredients to check safety!" Benefits Empowers informed decisions: Know what you're consuming/using Saves research time: Instant analysis vs manual ingredient lookup Accessible: Works via familiar WhatsApp interface Comprehensive: Covers multiple product categories Educational: Learn about ingredient safety over time Convenient: Analyze products while shopping Notes OCR works best with clear, well-lit images AI provides general safety information, not medical advice Analysis based on commonly known ingredient safety standards Users should consult professionals for specific health concerns Supports conversational queries for better user experience ---
By Roshan RamaniPatient pre-registration system with email verification & QR health cards using Google Drive
Automated Email Verification & Digital Health Card Generator Overview Transform your clinic's patient check-in process with this fully automated pre-registration system. When patients submit their appointment information through your website, this workflow instantly verifies their email, generates a professional digital health card with a scannable QR code, stores it securely in Google Drive, and sends personalized notifications to both the patient and your reception team—all in under 20 seconds. What This Workflow Does This comprehensive automation handles the entire patient pre-check-in journey: Receives Patient Data - Webhook captures form submissions from your website or app with patient details (name, email, phone, appointment date/time, symptoms, age, gender) Validates & Cleans Data - Automatically validates required fields, cleans input data, and generates a unique patient ID with timestamp for tracking Verifies Email Address - Uses VerifiEmail API to ensure email deliverability by checking RFC compliance, MX records, and filtering out disposable/spoof emails Generates QR Code - Creates a unique verification URL and scannable QR code for instant patient identification at reception Builds Professional Health Card - Generates a beautiful, responsive HTML health card featuring: Patient information grid (name, ID, email, phone, age/gender, appointment) Chief complaints/symptoms section Embedded QR code for quick check-in Important appointment instructions Modern gradient design with mobile-responsive layout Converts to PNG Image - Uses HTMLCSSToImg API to convert the HTML card into a high-quality PNG image (900x1200px) Stores in Google Drive - Uploads the health card to an organized "Patients record" folder with patient ID-based naming for easy retrieval Emails Patient - Sends a beautifully formatted email to the patient containing: Their health card as a PNG attachment Appointment details and confirmation Google Drive link for backup access Check-in instructions and preparation tips Notifies Reception Team - Sends real-time Slack message to clinic reception with patient details, verification status, and Drive link Logs to Database - Records complete patient information, timestamps, verification status, and file links in Google Sheets for tracking and analytics Returns Success Response - Sends JSON response back to the website form with patient ID, confirmation, and Drive link --- Key Features ✅ Email Verification - VerifiEmail API integration prevents failed deliveries and fake emails ✅ Unique Patient IDs - Timestamp-based IDs ensure no duplicates (format: PAT-{timestamp}-{random}) ✅ QR Code Generation - Free QR Server API creates scannable codes for instant check-in ✅ Professional Design - Modern, gradient-styled health cards with responsive layout ✅ Multi-format Output - PNG image format for easy viewing on any device ✅ Cloud Storage - Secure Google Drive storage with organized folder structure ✅ Multi-channel Notifications - Email to patient + Slack to staff for complete coverage ✅ Comprehensive Logging - Google Sheets database for analytics and record-keeping ✅ Error Handling - Graceful failure for invalid emails with user notification ✅ Webhook Response - Real-time feedback to website form for seamless UX ✅ Indian Locale Support - Date/time formatting in Indian format with 12-hour time ✅ Mobile Responsive - Health cards look great on both desktop and mobile devices --- Perfect For 🏥 Medical Clinics & Healthcare Providers - Streamline patient pre-registration and reduce waiting times 🦷 Dental Practices - Digital check-in for appointments with patient history 💉 Diagnostic Centers - Pre-appointment verification for lab tests and scans 👨⚕️ Specialist Doctors - Organized patient records with symptoms documentation 🏃 Physiotherapy Clinics - Track patient visits and treatment history 💆 Wellness Centers & Spas - Appointment management with customer details 🐕 Veterinary Clinics - Pet owner pre-registration system 📋 Any Appointment-Based Business - Adaptable to salons, consultancies, or service providers --- Business Benefits 💰 Reduced No-Shows - Email verification ensures valid contact information ⏱️ Time Savings - Eliminates manual data entry at reception 📊 Better Analytics - Automated logging provides insights into patient flow ✨ Professional Image - Modern, branded health cards improve patient experience 🔒 Secure Records - Cloud storage with organized folder structure 📱 Contactless Check-in - QR codes enable touch-free reception process 🎯 Improved Communication - Multi-channel notifications keep everyone informed 🚀 Scalable System - Handles high volumes without additional staff --- Required Services & Credentials VerifiEmail API - Email verification service Sign up at: https://verifi.email HTMLCSSToImg API - HTML to image conversion Sign up at: https://htmlcsstoimg.com Google Drive - Cloud file storage Requires: Google Account with Drive access Gmail - Email delivery Requires: Google Account Slack - Team notifications Requires: Slack workspace Google Sheets - Database logging Requires: Google Account --- Customization Options Change Health Card Design: Edit the "Build Health Card HTML" node Modify CSS styles, colors, layout, fonts Add clinic logo by including <img> tag in header Adjust Email Template: Edit the "Email Health Card to Patient" node Customize subject line, message content, styling Add clinic branding and contact information Modify Slack Message: Edit the "Notify Reception Team" node Change message format, add emojis, include additional fields Integrate with different channels Add PDF Generation: Insert an additional HTTP Request node after "Build Health Card HTML" Use a PDF conversion API (like PDFMunk or Puppeteer) Upload both PNG and PDF to Google Drive Add SMS Notifications: Insert Twilio or similar SMS node after email verification Send appointment confirmation via SMS Include patient ID and appointment time Multi-language Support: Modify the HTML template to support multiple languages Add language detection based on patient input Translate email and Slack messages --- Troubleshooting Guide Email Verification Fails: Check VerifiEmail API key is correct Verify API quota hasn't been exceeded Test with known valid email address Image Generation Fails: Check HTMLCSSToImg API credentials Verify HTML content is valid (no syntax errors) Check API rate limits Google Drive Upload Fails: Re-authenticate Google Drive OAuth2 credentials Check folder permissions Verify folder ID is correct Email Not Sending: Re-authenticate Gmail OAuth2 credentials Check email attachment size limits Verify "Less secure app access" if using password auth Slack Message Not Posting: Check Slack app permissions Verify channel exists and bot is invited Re-authenticate Slack credentials Google Sheets Not Logging: Re-authenticate Google Sheets credentials Verify sheet name and column headers match exactly Check sheet permissions --- Performance & Scalability Expected Performance: Single execution: 15-20 seconds Concurrent executions: Supports multiple parallel workflows API rate limits: Respects all third-party API limits Volume Handling: Small clinics: <50 patients/day - Perfect Medium practices: 50-200 patients/day - Excellent Large hospitals: 200+ patients/day - Consider API tier upgrades --- Security & Compliance ✅ Data Privacy - Patient data transmitted securely via HTTPS ✅ Access Control - OAuth2 authentication for all Google services ✅ Secure Storage - Files stored in private Google Drive folders ✅ Audit Trail - Complete logging in Google Sheets with timestamps ✅ Email Verification - Prevents data leakage to invalid addresses ✅ No Data Storage in n8n - Patient data passes through, not stored --- Tags healthcare, medical, clinic, patient-management, appointment, email-verification, qr-code, google-drive, gmail, slack, automation, workflow, pre-checkin, health-card, verifi-email, htmlcsstoimg, medical-records, patient-portal, healthcare-automation, clinic-management --- Category Healthcare & Medical --- Subcategory Patient Management & Appointment Systems --- License MIT License - Free to use, modify, and distribute with attribution ---
By Jitesh Dugar