Workflow Templates

Who’s it for This template is perfect for content creators, marketers, solopreneurs, agencies, and social media strategists who want to understand what audiences are talking about online. It helps teams quickly turn broad topics into structured insights, trend opportunities, and actionable content ideas. What it does / How it works This workflow begins with a form where the user enters a single topic. An AI agent expands the topic into subtopics and generates multiple relevant keywords. For each keyword, the workflow automatically gathers content from Reddit and X (formerly Twitter), extracting posts, titles, text, engagement metrics, and links. Each collected post is then analyzed by an AI model to determine: Trend potential Audience relevance Platform suitability Recommended content formats Categories and keywords Once all posts are processed, a final AI agent synthesizes the results, identifies the strongest emerging trends, groups similar insights, and generates strategic content recommendations. Requirements Google Gemini (PaLM) API credentials X / Twitter OAuth2 credentials Access to the n8n Form Trigger (publicly accessible URL) How to set up Connect your Gemini API and Twitter API credentials. Make sure the Form Trigger node is accessible. Review and adjust the AI prompts if you want different output formats. Run the form, enter a topic, and execute the workflow. How to customize the workflow Add more platforms (YouTube, TikTok, Instagram, Hacker News) Add sentiment scoring or engagement ranking Export insights to Google Sheets or Notion Generate ready-to-post content from the trends

This n8n template acts as your automated social media data analyst. Instead of manually checking your analytics across different dashboards every week, this workflow scrapes your latest stats, calculates your week-over-week growth, and uses AI to write a strategic performance report delivered straight to your inbox. Use cases are many: Perfect for content creators tracking growth, agencies managing client reporting, or community managers monitoring Skool engagement alongside social channels. Good to know First Run Setup:* Since this workflow calculates *growth (Current vs. Last Week), it needs a baseline to start. You will need to manually add one row to the linked Airtable template with your current stats before the first scheduled run. Cost:** This uses the Apify API for scraping TikTok and OpenRouter for the LLM analysis. Costs are generally very low (pennies per run), but you will need active accounts for both. How it works Data Collection: Every Sunday, the workflow triggers and pulls your live follower counts from YouTube, TikTok, and Skool. It also grabs the transcripts and stats for every video you posted in the last 7 days. Growth Calculation: It searches your Airtable database for the previous week's record and compares it against the live numbers to calculate exactly how many subscribers and followers you gained. AI Analysis: The data and video transcripts are fed into an LLM (via OpenRouter). The AI analyzes why certain videos performed well based on the content, identifying trends and engagement patterns. Reporting: The LLM generates a clean, formatted HTML report. Delivery & Archiving: The workflow emails the report to you and saves the new raw data into Airtable to serve as the baseline for next week. How to use The workflow is set to run weekly (Sundays), but you can change the Schedule Trigger to whatever day you prefer to receive reports. You will need to configure the CONFIG node at the start with your specific profile URLs and Channel IDs so the scrapers know where to look. Link to the required Airtable template is included in the workflow sticky notes. Requirements n8n** (Self-hosted recommended) Apify** account (for TikTok and Skool scraping) Google Cloud** project (for YouTube Data API) OpenRouter** or OpenAI API key Airtable** account Gmail** account Customising this workflow You can easily swap out the LLM model in the OpenRouter node if you prefer a specific model (like Claude 3.5 Sonnet or GPT-4o) for the analysis. You could also add more platforms like LinkedIn or Instagram if you have the appropriate Apify actors or API credentials.

Never let an event go unpromoted. This workflow monitors your Google Calendar, generates branded promotional graphics, and schedules a staggered social media countdown across LinkedIn, Twitter/X, and Facebook. 🎯 What This Workflow Does This template automates the full lifecycle of event promotion—from creation to multi-platform publishing. 📅 Step 1 — Calendar Trigger & Intelligence Instant Trigger:** Fires when a new event is created in Google Calendar Data Enrichment:** Extracts title, location, and formatted date/time Safety Gate:** Skips events starting in less than 2 hours 🖼️ Step 2 — Programmatic Design & CDN Hosting Dynamic Graphic Creation:** Uses Edit Image node to overlay event details on a banner CDN Hosting:** Uploads the image via UploadToURL to generate a public URL Schedule Calculation:** Sets post timings at 48h, 24h, and 1h before the event 🔁 Step 3 — Staggered Countdown & AI Copy Loop Execution:** Iterates through each scheduled post time Smart Wait:** Delays execution until the exact posting time AI Captions:** Generates time-based captions using OpenAI 📊 Step 4 — Audit Logging & Admin Alerts Google Sheets Log:** Stores platform status and image URLs for each post Telegram Alerts:** Sends a final campaign summary to the admin ✨ Key Features Automated Graphic Design:** Creates visuals for every event Persistent Wait Logic:** Handles long delays within a single workflow Multi-Platform Posting:** Publishes to LinkedIn, Twitter/X, and Facebook CDN Media Bridge:** UploadToURL ensures valid public image URLs 🔧 Setup Requirements Required Integrations Google Calendar:** OAuth2 credentials Social Platforms:** LinkedIn, Twitter/X, Facebook Page credentials OpenAI:** API key for captions Google Sheets:** Sheet for logging UploadToURL:** API key Telegram:** Bot token and chat ID Required Assets Public URL of your base banner template image Automate your event marketing. Import this template and connect your Google Calendar to start promoting events effortlessly!

Transcript → AI Analysis → Formatted Doc This workflow automatically converts Fathom meeting transcripts into beautifully formatted Google Docs with AI-generated summaries, key points, decisions, and action items. Good to know Works fully with Fathom free account Webhook responds immediately to prevent Fathom timeout and duplicate triggers Validates transcript quality (3+ conversation turns) before AI processing to save costs Uses Google Gemini API (generous free tier and rate limits, typically enough to avoid paying for API requests, but check latest pricing at Google AI Pricing) Creates temporary HTML file that's auto-deleted after conversion Who's it for Individuals or teams using Fathom for meetings who want more control and flexibility with their AI meeting analysis and storage independently of Fathom, as well as automatic, formatted documentation without manual note-taking. Perfect for recurring syncs, client meetings, or interview debriefs. How it works Fathom webhook triggers when meeting ends and sends transcript data Validates transcript has meaningful conversation (3+ turns) Google Gemini AI analyzes transcript and generates structured summary (key points, decisions, actions, next steps) Creates formatted HTML with proper styling Uploads to Google Drive and converts to native Google Doc Reduces page margins for readability and deletes temporary HTML file Requirements Fathom account with API webhook access (available on free tier) Google Drive account (OAuth2) Google Docs account (OAuth2) Google Gemini API key (Get free key here) How to set up Add credentials: Google Drive OAuth2, Google Docs OAuth2, Google Gemini API Copy the webhook URL from the Get Fathom Meeting webhook node (Test URL first, change to Production URL when ready) In Fathom: Settings → API Access → Add → Add webhook URL and select all events including "Transcript" Test with a short meeting, verify Google Doc appears in Drive Activate workflow Customizing this workflow Change save location: Edit "Upload File as HTML" node → update "Parent Folder" Modify AI output: Edit "AI Meeting Analysis" node → customize the prompt to add/remove sections (e.g., risks, follow-ups, sentiment, etc) Adjust document margins: Edit "Reduce Page Margins" node → change margin pixel values Add notifications: E.g. add Slack/Email node after "Convert to Google Doc" to notify team when summary is ready Quick Troubleshooting "Transcript Present?" fails: Fathom must send transcript_merged with 3+ conversation turns (i.e. only send to Gemini for analysis if there's a genuine transcript) HTML as plain text: Check "Convert to Google Doc" uses POST to /copy endpoint 401/403 errors: Re-authorize Google credentials Inadequate meeting notes: Edit prompts in "AI Meeting Analysis" node Sample File and Storage Output Google Doc meeting notes - sample Google Drive sample folder output:

Handle WhatsApp customer inquiries with AI and intent routing (Whatsapp Chatbot) An intelligent, fully customizable WhatsApp customer support chatbot template that works for ANY business - whether you sell fashion, electronics, food, furniture, cosmetics, or anything else. This workflow combines pre-built responses for common queries with AI for complex questions, creating a cost-effective 24/7 customer support solution that adapts to your specific products and services. Who it's for This universal template works for ANY business type: E-commerce stores** (fashion, electronics, home goods, beauty, etc.) Local retail shops** (boutiques, grocery stores, bookshops, etc.) Service businesses** (salons, repair services, consultancies, etc.) Restaurants & cafes** (food delivery, reservations, menu inquiries) Any business** using WhatsApp Business API for customer communication What it does This is a UNIVERSAL template - it works for ANY business by simply updating the product categories, company information, and response templates. No coding knowledge required for basic customization! The workflow automates WhatsApp customer support through intelligent routing and AI assistance: Receives WhatsApp messages via WhatsApp Business API webhook trigger Parses message data extracting user info, chat ID, and message text Classifies intent using pattern matching to determine what the customer wants (product inquiry, contact info, support, greeting, etc.) Routes intelligently to the most appropriate response handler: Product inquiries → Pre-built catalog responses with pricing and links Contact information → Static company details (address, phone, hours) Complex queries → AI agent with full company context Maintains conversation context using memory to remember previous messages Sends formatted responses back to the customer via WhatsApp with markdown formatting The hybrid approach (pre-built responses + AI) balances speed, cost, and intelligence - common questions get instant answers while complex queries receive personalized AI assistance. How to set up Requirements You'll need: WhatsApp Business API** access (via Twilio, 360Dialog, Meta Cloud API, or other providers) Google Gemini API key** (for AI responses) - Get API key Google Docs** (optional - for product catalog reference) n8n instance** with WhatsApp nodes installed Setup Steps Configure WhatsApp Business API Sign up with a WhatsApp Business API provider (Twilio, 360Dialog, or Meta) Get your API credentials (phone number ID, access token, webhook verify token) Add credentials to n8n's WhatsApp node Copy the webhook URL from n8n and configure it in your provider's dashboard Customize Company Information Open the "Build AI System Prompt" node Replace all placeholder text with your actual company details: Company name Address and phone numbers Email and website Product categories and brands Policies (COD, warranty, returns, delivery) Store hours Configure Product Responses Edit the "Generate Product Response" node Replace the sample products with your actual catalog: Product names and specifications Prices (update currency if not using INR) Product URLs from your website Add/remove product categories as needed Update Contact Details Edit the "Generate Contact Info Response" node Add your complete contact information Update store hours and addresses Set Up AI Credentials Add your Google Gemini API key to the credential manager (Optional) Connect Google Docs if you want to use a product catalog document Activate and Test Activate the workflow in n8n Send test messages to your WhatsApp Business number Test different intents: greetings, product questions, contact requests Verify responses are accurate and timely WhatsApp Business API Providers Option 1: Meta Cloud API (Official, free for moderate usage) Sign up at: https://developers.facebook.com/ Requires Facebook Business account Best for: Small to medium businesses Option 2: Twilio (Reliable, paid service) Sign up at: https://www.twilio.com/whatsapp Pay-per-message pricing Best for: Businesses needing high reliability Option 3: 360Dialog (WhatsApp-focused) Sign up at: https://www.360dialog.com/ Competitive pricing Best for: WhatsApp-heavy businesses Option 4: MessageBird, Vonage, others Various pricing and features Research and compare based on your needs How it works Intent Classification System The workflow uses keyword pattern matching to classify user intent into these categories: Priority 1: Contact Information (highest priority) Triggers: "where is store", "address", "contact", "phone number" Response: Static contact details Why first: Users asking for contact info need immediate, accurate answers Priority 2: Greetings Triggers: "hi", "hello", "hey", "good morning" Response: Friendly welcome with menu options Helps: Sets a positive tone for the conversation Priority 3: Product Inquiries Triggers: Category keywords (monitor, processor, GPU, RAM, etc.) Response: Pre-built catalog with products, prices, and links Categories: Customizable based on your products Priority 4: AI Fallback Triggers: Everything else (comparisons, complex questions, multi-step queries) Response: Google Gemini AI with company knowledge Features: Conversation memory, personalized recommendations Response Architecture Pre-Built Responses (Fast & Cost-Effective) Instant answers (no API calls) Handles 70-80% of queries Consistent, accurate information No ongoing costs Used for: Product lists, contact info, FAQs AI Agent (Intelligent & Flexible) Handles complex questions Maintains conversation context Provides personalized recommendations Adapts to different query styles Used for: Comparisons, custom builds, technical questions Conversation Memory The workflow uses buffer window memory to remember recent conversation: Stores last 10 messages per user Enables multi-turn conversations AI can reference previous questions Creates more natural interactions Memory is user-specific (isolated by user ID) Message Flow Example User: "Hi" → Intent: greeting → Response: Welcome message with menu User: "Show me monitors" → Intent: product_inquiry (monitors) → Response: Pre-built list of monitors with prices User: "Which one is best for gaming?" → Intent: general_inquiry (complex) → Response: AI analyzes previous context (monitors) and recommends gaming-focused option User: "What's your address?" → Intent: contact_info → Response: Complete contact details How to customize the workflow STEP 1: Customize Product Categories The workflow comes with example categories for multiple business types. Replace them with YOUR categories: For a Fashion Store: const categories = [ { pattern: /(shirt|tshirt|top)/i, category: 'tops' }, { pattern: /(jeans|pants|trousers)/i, category: 'bottoms' }, { pattern: /(dress|gown|kurti)/i, category: 'dresses' }, { pattern: /(shoe|footwear|heels)/i, category: 'shoes' }, ]; For a Grocery Store: const categories = [ { pattern: /(vegetable|veggies)/i, category: 'vegetables' }, { pattern: /(fruit|fruits)/i, category: 'fruits' }, { pattern: /(dairy|milk|cheese)/i, category: 'dairy' }, { pattern: /(snack|chips|biscuit)/i, category: 'snacks' }, ]; For a Beauty/Cosmetics Store: const categories = [ { pattern: /(skincare|cream|serum)/i, category: 'skincare' }, { pattern: /(makeup|lipstick|foundation)/i, category: 'makeup' }, { pattern: /(perfume|fragrance)/i, category: 'perfumes' }, { pattern: /(hair|shampoo|conditioner)/i, category: 'haircare' }, ]; For a Home Furniture Store: const categories = [ { pattern: /(sofa|couch)/i, category: 'sofas' }, { pattern: /(bed|mattress)/i, category: 'bedroom' }, { pattern: /(table|desk|dining)/i, category: 'tables' }, { pattern: /(chair|seating)/i, category: 'chairs' }, ]; For a Restaurant: const categories = [ { pattern: /(pizza|italian)/i, category: 'italian' }, { pattern: /(burger|sandwich)/i, category: 'fast_food' }, { pattern: /(biryani|curry|indian)/i, category: 'indian' }, { pattern: /(dessert|sweet|ice cream)/i, category: 'desserts' }, ]; STEP 2: Customize Product Responses Update the "Generate Product Response" node with YOUR actual products: Example for Fashion Store: if (category === 'tops') { response = Hi ${userName}! Check out our TOPS collection:\\n\\n; response += 👕 Cotton Casual T-Shirt\\n 💰 ₹499\\n 🎨 5 colors available\\n 🔗 yourstore.com/tshirts\\n\\n; response += 👚 Formal Shirt\\n 💰 ₹899\\n 🎉 Buy 2 Get 20% OFF\\n 🔗 yourstore.com/shirts\\n\\n; } Example for Grocery Store: if (category === 'vegetables') { response = Fresh VEGETABLES available, ${userName}:\\n\\n; response += 🥕 Fresh Carrots (1kg)\\n 💰 ₹40\\n 🌱 Organic\\n\\n; response += 🍅 Tomatoes (1kg)\\n 💰 ₹30\\n ✅ Farm Fresh\\n\\n; } Example for Restaurant: if (category === 'italian') { response = Delicious ITALIAN dishes, ${userName}:\\n\\n; response += 🍕 Margherita Pizza\\n 💰 ₹299\\n 👨‍🍳 Chef's Special\\n\\n; response += 🍝 Creamy Alfredo Pasta\\n 💰 ₹349\\n 🔥 Bestseller\\n\\n; } STEP 3: Update Company Information Edit the "Build AI System Prompt" node: For a Boutique: const systemPrompt = `You are a customer service assistant for Elegant Threads Boutique. COMPANY INFORMATION: Business: Women's Designer Clothing Boutique Products: Ethnic wear, western wear, accessories Price Range: ₹1,500 - ₹15,000 Speciality: Custom tailoring available Store Address: Shop 12, Fashion Street, Mumbai Phone: +91 98XXXXXXXX Delivery: Pan-Mumbai, 2-3 days Returns: 7-day no-questions-asked return policy `; For a Tech Store: const systemPrompt = `You are customer support for TechHub Electronics. COMPANY INFORMATION: Business: Consumer Electronics Retailer Products: Smartphones, laptops, accessories, home appliances Price Range: ₹500 - ₹2,00,000 Speciality: Same-day delivery in Delhi NCR Warranty: Extended warranty on all electronics Store: Connaught Place, New Delhi Phone: +91 11-XXXXXXXX `; For a Bakery: const systemPrompt = `You are the assistant for Sweet Delights Bakery. COMPANY INFORMATION: Business: Fresh Baked Goods & Custom Cakes Products: Cakes, pastries, cookies, bread Price Range: ₹50 - ₹3,000 Speciality: Custom cakes for all occasions (24hrs notice) Store: Baker Street, Bangalore Phone: +91 80-XXXXXXXX Delivery: Free above ₹500 within 5km `; Additional Customization Options Change AI Model Replace Google Gemini with other LLM providers: OpenAI GPT-4**: Best for nuanced understanding Anthropic Claude**: Strong at following instructions Llama** (self-hosted): Cost-effective for high volume Simply swap the "Google Gemini Chat Model" node with your preferred model. Add More Intents Extend the intent classification in the "Classify User Intent" node: // Add order tracking if (/track.order|order.status|where.*order/i.test(text)) { intent = 'order_tracking'; } // Add complaint handling if (/complaint|unhappy|problem|issue|refund/i.test(text)) { intent = 'complaint'; } // Add shipping questions if (/shipping|delivery|courier|when.*arrive/i.test(text)) { intent = 'shipping_inquiry'; } Then add corresponding response nodes in the routing switch. Integrate with CRM Connect to HubSpot: Add HubSpot node after intent classification Log every conversation as a ticket Create contacts automatically Track customer journey Connect to Salesforce: Use Salesforce node to create leads Update opportunity stages based on intent Log interactions in Activity History Connect to Airtable: Store conversations in Airtable database Analyze common questions Build knowledge base from real conversations Add Multi-Language Support Method 1: Google Translate API Detect message language Translate to English for processing Translate response back to user's language Method 2: Multilingual AI Add language preference to AI prompt Train AI on multilingual responses Support major languages natively Rich Media Responses Send images: return [{ chatId: chatId, image: 'https://yoursite.com/product.jpg', caption: 'Check out this product!' }]; Send documents: Product catalogs (PDF) Warranty cards Invoice copies Installation guides Send location pins: Store locations Delivery tracking Service centers Human Handoff Logic Add escalation for complex issues: // Check if AI can't help if (complexityScore > 8 || sentiment === 'angry') { // Notify human agent // Transfer conversation // Set status: 'awaiting_agent' } Integrate with: Intercom for live chat handoff Slack for agent notifications Zendesk for ticket creation Connect to Inventory Real-time stock checking: Query your database for availability Show "In Stock" / "Out of Stock" status Suggest alternatives for unavailable products Notify customers when items are restocked Dynamic pricing: Pull current prices from database Apply promotional discounts automatically Show time-sensitive offers Add Analytics Track metrics: Messages per day/week/month Most common intents AI usage vs. pre-built responses Average response time Customer satisfaction scores Integration options: Google Analytics for website tracking Mixpanel for event tracking Custom dashboard in Grafana Google Sheets for simple logging Business Hours Management Add business hours logic: const now = new Date(); const hour = now.getHours(); const isBusinessHours = (hour >= 10 && hour < 20); // 10 AM - 8 PM if (!isBusinessHours) { return [{ response: "We're currently closed. Our hours are 10 AM - 8 PM. We'll respond when we open!" }]; } A/B Testing Responses Test different response styles: Formal vs. casual tone With/without emojis Short vs. detailed answers Different CTAs Track which versions lead to more sales/conversions. Tips for best results 1. Start Simple Begin with 3-5 main intents Add more as you see common patterns Don't over-complicate the initial setup 2. Monitor and Iterate Review conversations weekly Identify missed intents Refine pattern matching Update product information regularly 3. Balance Pre-Built vs. AI Use pre-built for: FAQs, product lists, contact info (fast, cheap) Use AI for: Comparisons, complex queries, personalization (slower, costs money) Aim for 70-80% pre-built, 20-30% AI 4. Optimize Response Times Pre-built responses are instant AI responses take 2-5 seconds Set user expectations ("Let me check that for you...") 5. Test Different Scenarios Happy path (normal inquiries) Edge cases (misspellings, slang) Multi-turn conversations Multiple topics in one message 6. Keep Responses Concise WhatsApp users prefer short messages Use formatting (bold, bullets) for readability Break long responses into multiple messages 7. Maintain Brand Voice Customize AI system prompt with your brand personality Use consistent tone across all responses Include brand-appropriate emojis 8. Handle Failures Gracefully Add error handling for API failures Have fallback responses ready Always offer human contact option 9. Respect Privacy Don't store sensitive information Comply with GDPR/local privacy laws Allow users to delete their data 10. Monitor Costs Track Gemini API usage Set spending alerts Optimize prompt length to reduce token usage Common use cases across industries Fashion & Apparel Store Answer size and fit questions Share new collection arrivals Check stock availability by size/color Process exchange requests Share styling tips Electronics & Tech Store Provide product specifications Compare different models Check warranty information Share installation guides Handle technical support queries Grocery & Food Store Check product availability Share daily fresh stock updates Take bulk orders Provide recipe suggestions Handle delivery slot bookings Beauty & Cosmetics Recommend products for skin types Share ingredient information Explain usage instructions Handle shade/color queries Process return for wrong products Home Furniture Store Share dimensions and specifications Check delivery timelines Provide assembly instructions Schedule store visits Custom furniture inquiries Restaurant & Cafe Share menu and prices Take table reservations Handle takeaway orders Answer dietary restriction questions Share daily specials Jewelry Store Share designs and prices Book appointments for trials Check customization options Verify metal purity/certifications Handle repair inquiries Bookstore Check book availability Take pre-orders for new releases Recommend books by genre Share reading lists Handle exchange requests Important Notes: This workflow requires WhatsApp Business API (not regular WhatsApp Business app) WhatsApp Business API typically requires business verification Message rates and limits vary by provider Test thoroughly before deploying to customers Always provide a way to reach human support Getting Started Tip: Start with just contact info and product inquiries. Once that works smoothly, add AI responses for complex queries. Gradually expand based on actual customer needs you observe in conversations.

Heygen Viral UGC Generation Stop manually creating short-form video content. This n8n workflow automatically generates AI talking-head UGC videos using HeyGen and publishes them to Instagram and Facebook every single day — fully on autopilot. Real reel posted to @pinkmatchaprints — generated and published entirely by this workflow. See It In Action: Real Results from Pink Matcha Watch a live reel generated by this workflow See all published reels on @pinkmatchaprints Every single one of these videos was generated and posted automatically — no recording, no editing, no manual uploading. How It Works The workflow runs every day on a schedule. Here's the full pipeline: Picks today's content from a Google Sheet using a day-of-year rotation across all rows marked Idea Randomly selects a HeyGen talking-photo avatar from a pool of 14 for visual variation across posts Generates a 30-second script using GPT-4.1-mini with a warm, spiritual persona called "The Shepherd" Submits to HeyGen API to render a 720x1280 portrait talking-head video Polls HeyGen every 50 seconds (up to 20 times, ~16 min max) until the video is ready Publishes to Instagram and Facebook via upload-post.com with an auto-generated caption Logs every step to a Production Logs Google Sheet — script, video ID, video URL, and status What You're Getting AI-Generated Scripts with a Defined Persona The workflow uses GPT-4.1-mini with a custom system prompt called "The Shepherd" — a calm, wise, spiritual guide. Every script is: 75 to 90 words (~30 seconds when spoken naturally) Written in warm, grounded, accessible language Tailored to the specific content section from your workbook Always ending with: "Visit the link in bio to learn more." A Content Rotation System That Never Repeats Your content pool lives in a Google Sheet. The workflow selects today's section using day-of-year modulo total rows — so it automatically cycles through your content library without manual scheduling. Add more rows to expand the rotation. Full Production Logging Every execution is tracked row by row in a Production Logs sheet. You can see exactly what ran, what script was used, what the HeyGen video ID is, and what the final status is. Async Video Generation with Smart Polling HeyGen renders videos asynchronously. The workflow handles this gracefully — it submits the job, waits, polls the status API, and routes automatically based on the result: Still processing** → waits and retries Completed** → extracts video URL and posts Failed or timed out** → logs the failure reason to the sheet Dual Platform Publishing Videos are published to both Instagram and Facebook in one execution using upload-post.com. The caption is auto-built from the section title and first 100 characters of the script. Google Sheets Structure The workflow uses a single Google Sheets workbook with two tabs: Tab 1: Workbook Content Your content pool. The workflow reads from this every day. | Column | Description | |---|---| | section_title | Title used in the video caption and script prompt | | workbook_content | Full context for the AI to generate the script from | | key_message | The core takeaway — passed to the AI as emphasis | | Status | Set to Idea to include in rotation. Any other value skips the row. | Tab 2: Production Logs Auto-populated. Do not edit manually. | Column | Description | |---|---| | Date | Date the video was generated | | Section Title | Which content section was used | | Script Text | The generated script | | HeyGen Video ID | Used to poll render status | | Raw Video URL | Direct HeyGen video URL | | Final Video URL | Final URL passed to the publishing step | | Status | Lifecycle status or failure reason | Setup Guide Step 1: Credentials | Service | Credential Type | Where Used | |---|---|---| | HeyGen | HTTP Header Auth (X-Api-Key) | Generate and poll videos | | upload-post.com | HTTP Header Auth | Post to Instagram / Facebook | | Google Sheets | OAuth2 | Read content, write logs | | OpenAI | API Key | Generate scripts (GPT-4.1-mini) | Step 2: Google Sheets Duplicate the workbook structure described above Replace the documentId in all Google Sheets nodes with your spreadsheet ID Populate the Workbook Content tab and set Status = Idea on each row Step 3: HeyGen Avatars The workflow ships with 14 hardcoded talking-photo avatar IDs in the Code: Select Random Avatar & Combine Data node. Replace these with your own HeyGen avatar IDs from your HeyGen account. Step 4: upload-post.com Account Update the user field in both the facebook and instagram nodes from pink-matcha to your upload-post.com username. Step 5: Enable Facebook (When Ready) The facebook node is disabled by default. Once you confirm Instagram is posting correctly, enable it in n8n. Step 6: Adjust the Schedule The trigger is set to fire daily at 12pm noon. The node name says "9am" — rename or adjust the time in the Schedule node to match your target posting time. Technical Specs Script AI**: OpenAI GPT-4.1-mini Video Generation**: HeyGen v2 API (talking-photo avatars) Video Format**: 720x1280 portrait (Reels / Shorts) Polling**: 50-second intervals, max 20 attempts (~16 min timeout) Publishing**: upload-post.com multipart API Logging**: Google Sheets (OAuth2) Error Workflow**: Separate n8n error workflow for unexpected crashes Platform**: n8n (self-hosted or cloud) Frequently Asked Questions Q: Do I need a HeyGen subscription? A: Yes. You need a HeyGen account with API access and at least one talking-photo avatar created in your account. Q: What is upload-post.com? A: A third-party service that handles posting video content to Instagram and Facebook on your behalf. You need an account connected to your social profiles. Q: Can I change the AI persona? A: Yes. Edit the system prompt in the Generate Script node to use any persona, tone, or style you want. Q: Can I post to TikTok or YouTube Shorts? A: upload-post.com supports other platforms. You can add additional HTTP request nodes following the same pattern as the instagram node and change the platform[] parameter. Q: How do I add more content? A: Add rows to the Workbook Content tab in Google Sheets and set Status = Idea. The rotation automatically picks them up. Q: What happens if HeyGen fails? A: The workflow detects failure or timeout and writes the reason to the Production Logs sheet. A separate n8n error workflow handles unexpected crashes. Q: How long does one execution take? A: Typically 5 to 15 minutes end-to-end, depending on HeyGen render time. Join the Community Other free n8n workflows GitHub repository Join AI + Automation Discord Official website Live example account Powered by n8n • OpenAI • HeyGen • Google Sheets • upload-post.com

Never guess your SEO strategy again. This advanced workflow automates the most time-consuming part of SEO: auditing competitor articles and identifying exactly where your brand can outshine them. It extracts deep content from top-ranking URLs, compares it against your specific brand identity, and generates a ready-to-use "Action Plan" for your content team. The workflow uses Decodo for high-fidelity scraping, Gemini 2.5 Flash for strategic gap analysis, and Google Sheets as a dynamic "Brand Brain" and reporting dashboard. ✨ Key Features Brand-Centric Auditing:* Unlike generic SEO tools, this engine uses a live Google Sheet containing your *Brand Identity** to find "Content Gaps" specific to your unique value proposition. Automated SERP Itemization:** Converts a simple list of keywords into a filtered list of top-performing competitor URLs. Deep Markdown Extraction:** Uses Decodo Universal to bypass bot-blockers and extract clean Markdown content, preserving headers and structure for high-fidelity AI analysis. Structured Action Plans:** Outputs machine-readable JSON containing the competitor's H1, their "Winning Factor," and a 1-sentence "Checkmate" instruction for your writers. ⚙️ How it Works Data Foundation: The workflow triggers (Manual or Scheduled) and pulls your Global Config (e.g., result limits) and Brand Identity from a dedicated Google Sheet. Market Discovery: It retrieves your target keywords and uses the Decodo Google Search node to identify the top competitors. A Code Node then "itemizes" these results into individual URLs. Intelligence Harvesting: Decodo Universal scrapes each URL, and an HTML 5 node extracts the body content into Markdown format to minimize token noise for the AI. Strategic Audit: The AI Content Auditor (powered by Gemini) receives the competitor’s text and your Brand Identity. It identifies what the competitor missed that your brand excels at. Reporting Deck: The final Strategy Master Writer node appends the analysis—including the "Content Gap" and "Action Plan"—into a master Google Sheet for your marketing team. 📥 Component Installation This workflow relies on the Decodo node for search and scraping precision. Install Node: Click the + button in n8n, search for "Decodo," and add it to your canvas. Credentials: Use your Decodo API key. (Tip: Use a residential proxy setting for difficult sites like Reddit or Stripe). Gemini: Ensure you have the Google Gemini Chat Model node connected to the AI Agent. 🎁 Get a free Web Scraping API subscription here 👉🏻 https://visit.decodo.com/X4YBmy 🛠️ Setup Instructions 1. Google Sheets Configuration Create a spreadsheet with the following three tabs: Target Keywords**: One column named Target Keyword. Brand Identity**: One cell containing your brand mission, USPs, and target audience. Competitor Audit Feed**: Headers for Keyword, URL, Rank, Winning Factor, Content Gap, and Action Plan. Clone the spreadsheet here. 2. Global Configuration In the Config (Set) node, define your serp_results_amount (e.g., 10). This controls how many competitors are analyzed per keyword. ➕ How to Adapt the Template Competitor Exclusion:* Add a *Filter** node after "Market Discovery" to automatically skip domains like amazon.com or reddit.com if they aren't relevant to your niche. Slack Alerts:* Connect a *Slack** node after the AI analysis to notify your content manager immediately when a high-impact "Action Plan" is generated for a priority keyword. Multi-Model Verification:* Swap Gemini with *Claude 3.5 Sonnet* or *GPT-4o** in the Strategic Audit section to compare different AI perspectives on the same competitor content.

This workflow helps Customer Success Managers and customer success professionals quickly gather intelligence on clients or prospects by analyzing their recent LinkedIn activity via a simple Slack command. Who's it for CSMs, Account Managers, and Sales professionals who need fast, structured insights about a person's LinkedIn presence before a call, meeting, or outreach. What it does (and doesn't do) ✅ It DOES: Fetch recent LinkedIn posts from any profile Analyze posting frequency and cadence patterns Identify top themes and focus areas Extract recent highlights with context Generate a clean HTML report sent via email ❌ It DOESN'T: Access private/non-public LinkedIn content Provide real-time updates (it's a snapshot) Replace actual researches when needed Think of it as: Your personal LinkedIn research assistant that turns a name into actionable intelligence in under a minute. How it works Slack command - Type /check-linkedin [Full Name] in Slack Name validation - AI verifies you provided a full name (not just "John") Profile discovery - Finds the correct LinkedIn profile via Apify Content scraping - Pulls their recent posts (last 20) AI analysis - GPT-4.1 analyzes posting patterns, topics, and highlights Report generation - Creates a formatted HTML email report Email delivery - Sends the intelligence brief to your inbox Set up steps Setup time: ~15 minutes Create or use your existing Slack app and add a Slash Command (it can be done here https://api.slack.com/apps) Configure the webhook URL in your Slack app Connect credentials: Slack OAuth Apify API OpenAI API Gmail OAuth Update the email recipient in "Send report via Email" node Test with a known LinkedIn profile Requirements Slack workspace (with app installation permissions) Apify account with credits OpenAI API key (GPT-4.1 access) Gmail account Apify actors: LinkedIn Profile Finder LinkedIn Post Scraper Cost estimation ~$0.05-0.09 per profile check. You could research 11-20 people for $1. ⚠️ Cost Disclaimer: The costs displayed above are indicative only and may vary significantly depending on which n8n actors you select. Some actors incur monthly charges—for example, one of the two actors used in this workflow costs $35/month. So, I recommend using this actor only when there's a clear business need for it. For cost optimization, consider switching to alternative actors that can deliver similar / simpler functionality at a lower cost. If you plan to use this workflow extensively, I strongly suggest performing a budget assessment and evaluating other actor options to maximize cost efficiency. The workflow uses GPT-4.1-mini for lightweight classification and GPT-4.1 for the heavy analysis to balance quality and cost. Known Limitations Common names have limited accuracy: Very common names (e.g., "John Smith") often fail to identify the correct person accurately. An improved version could support company name in the slash command as an additional input to help narrow down results and improve first-try matching accuracy. 💡 Pro tips Check before important meetings: Run this 15-30 minutes before a call. The email report gives you conversation starters and context about what they care about. Batch your research: If you have multiple clients or prospects, queue them up. Just remember each lookup costs ~$0.05-0.09. Watch your Apify credits: The LinkedIn scrapers are the main cost driver. Monitor your Apify usage if you're doing high volume. Don't spam the same profile: LinkedIn may rate-limit. Space out repeat checks on the same person by at least a few hours. Review the "Quick Scan" section first: The email report starts with key stats and top focus areas. Perfect for a 30-second pre-call prep. What to do after the workflow runs Check your email - Report arrives in 30-90 seconds Review the report - Latest post date, cadence, and top themes Read Recent Activity Summary - High-level overview of their content Dive into Detailed Analysis - Two main topics with keywords and rationale Use it strategically: Reference their recent posts in your outreach Ask about topics they're clearly passionate about Tailor your pitch to their demonstrated interests Avoid generic "saw you on LinkedIn" messages Questions or Feedback? 📧 emir.belkahia@gmail.com 💼 linkedin.com/in/emirbelkahia

This template sets up a scheduled automation that scrapes the latest news from The Hindu website, uses a Google Gemini AI Agent to filter and analyze the content for relevance to the Competitive Exams like UPSC Civil Services Examination (CSE) syllabus, and compiles a structured daily digest directly into a Google Sheet. It saves hours of manual reading and note-taking by providing concise summaries, subject categorization, and explicit UPSC importance notes. Who’s it for This workflow is essential for: UPSC/CSE Aspirants who require a curated, focused, and systematic daily current affairs digest. Coaching Institutes aiming to instantly generate structured, high-quality study material for their students. Educators and Content Creators focused on Governance, Economy, International Relations, and Science & Technology. How it works / What it does This workflow runs automatically every morning (scheduled for 7 AM by default) to generate a ready-to-study current affairs document. Scraping: The Schedule Trigger fires an HTTP Request to fetch the latest news links from The Hindu's front page. Data Curation: The HTML and Code in JavaScript nodes work together to extract and pair every article URL with its title. Content Retrieval: For each identified link, a second HTTP Request node fetches the entire article body. AI Analysis and Filtering: The AI Agent uses a detailed prompt and the Google Gemini Chat Model to perform two critical tasks: Filter: It filters out all irrelevant articles (e.g., sports results, local crime) to keep only the 5-6 most important UPSC-relevant pieces (Polity, Economy, IR, etc.). Analyze: For the selected articles, it generates a Brief Summary, identifies the Main Subject, and clearly articulates Why it is Important for the UPSC Exam. Storage: The AI Agent calls the integrated Google Sheets Tool to automatically append the structured, analyzed data into your designated Google Sheet, creating your daily ready-made notes. Requirements To deploy this workflow, you need: n8n Account: (Cloud or self-hosted). Google Gemini API Key: For connecting the Google Gemini Chat Model and powering the AI Agent. Google Sheets Credentials: For reading/writing the final compiled digest. Target Google Sheet: A spreadsheet with the following columns: Date, URL, Subject, Brief Summary, and What is Important. How to set up Credentials Setup:** Connect your Google Gemini and Google Sheets accounts via the n8n Credentials Manager. Google Sheet Linking:* In the *Append row in sheet and Append row in sheet in Google Sheets1 nodes, replace the **placeholder IDs and GIDs with the actual ID and sheet name of your dedicated UPSC notes spreadsheet. Scheduling:* Adjust the time in the *Schedule Trigger: Daily at 7 AM node** if you want the daily analysis to run at a different hour. AI Customization (Optional):* You can refine the System Message in the *AI Agent: Filter & Analyze UPSC News node** to focus the analysis on specific exam phases (e.g., Prelims only) or adjust the priority of subjects.

🤖 Automated AI News Video Creation and Social Media Publishing Workflow ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Overview: This workflow fully automates the creation and social media distribution of AI-generated news videos. It fetches news, crafts captions, generates avatar videos via HeyGen, stores them, and publishes them across Instagram, Facebook, and YouTube via Postiz. 🔄 WORKFLOW PROCESS: News Fetching: Reads the latest news from an RSS feed. AI Captioning: Generates concise, engaging captions using an AI agent (GPT-4o-mini). Video Generation: Creates an AI avatar video using HeyGen with the generated caption. Video Storage: Downloads the video and uploads it to Google Drive for archival. Data Logging: Records all news and video metadata into Google Sheets. Postiz Upload: Uploads the video to Postiz's internal storage for publishing. Social Publishing: Fetches Postiz integrations and routes the video to Instagram, Facebook, and YouTube after platform-specific content cleaning. ⚙️ KEY TECHNOLOGIES: RSS Feeds:** News source. LangChain (n8n nodes):** AI Agent and Chat OpenAI for caption generation. HeyGen API:** AI avatar video creation. Google Drive:** Video file storage. Google Sheets:** Data logging and tracking. Postiz API:** Unified social media publishing platform. ⚠️CRITICAL CONFIGURATIONS: API Keys:** Ensure HeyGen and Postiz API keys are correctly set in credentials and the 'Setup Heygen Parameters' node. HeyGen IDs:** Verify avatar_id and voice_id in 'Setup Heygen Parameters'. Postiz URL:** Confirm https://postiz.yourdomain.com is your correct Postiz instance URL across all HTTP Request nodes. Credentials:** All Google, OpenAI, and Postiz credentials must be properly linked. 📈BENEFITS: Automated content creation and distribution, saving significant time. Consistent branding and messaging across multiple platforms. Centralized logging for tracking and performance analysis. Scalable solution for high-volume content demands.

This n8n template drafts customer-ready email replies using Google Gemini, enriched with HubSpot context (contact, deals, companies, tickets). Each draft is routed to Slack for one-click approval before it’s sent from Gmail—so you move fast without losing control. Ideal for support and sales teams that want speedy, personalized responses while keeping humans in the loop. How it works Gmail Trigger** watches for new inbound emails. Sender filter** excludes internal domains (e.g., n8n.io) to avoid auto-replying to teammates. HubSpot contact lookup* finds the sender and fetches associated *deals/companies/tickets** via association + batch read. CRM context is normalized** into clean, LLM-friendly fields (no IDs or sensitive noise). Gemini (Google AI Studio)** generates a concise, friendly reply using: Sender name, subject, and message snippet Safe, relevant HubSpot context (e.g., top 1–2 deals or an open ticket) Style constraints (≤ \~150 words, single CTA, optional clarifying question) Slack approval* posts the draft to a channel; if *approved, n8n **replies via Gmail in the original thread. How to use Gmail: Connect the same account for the trigger and reply nodes. HubSpot: Connect OAuth on the search + HTTP request nodes. Gemini: Add your Google AI Studio API key to the Google Gemini Chat Model node. Slack: Connect and select the channel for draft approvals. (Optional) Filter: Adjust the Allowed Sender filter before going live. (Optional) Prompt: Edit “Draft Reply (AI Agent)” tone/length or how much CRM detail to include. Activate the workflow. New emails will produce Slack-approved replies automatically. Requirements Gmail** (trigger + send) HubSpot** (OAuth2) for contact + associations Slack** for approval step Google Gemini** (Google AI Studio API key) Notes & customization Safety rails:** The prompt avoids exposing IDs/raw JSON and caps CRM details to what’s useful. Auto-send mode:** Skip Slack if you want fully automated replies for specific senders/labels. Richer context:** Extend the batch read to pull more properties (e.g., next step, renewal date). Triage:** Branch on subject/labels to route billing vs. technical requests to different prompts. QA queue:* If the model asks a clarifying question, keep it to *one**—the node enforces that.

Schedule and optimize social media posts to Twitter and LinkedIn using AI This workflow automates the entire lifecycle of social media management—from fetching draft content to AI-driven optimization and multi-platform publishing. Who’s it for Social media managers, marketing teams, and content creators who use Google Sheets to plan their content but want to leverage AI for better engagement and automate the repetitive task of cross-platform posting. How it works The workflow is triggered either hourly or manually via a webhook. It fetches scheduled content from a designated Google Sheet and identifies posts ready for publication. An AI Agent (OpenAI) then analyzes the raw content to generate two optimized versions: a punchy, character-limited post for Twitter and a more professional, detailed version for LinkedIn. After generating relevant hashtags and engagement tips, the workflow publishes the posts simultaneously. Finally, it logs the live URLs back to your spreadsheet and sends a performance summary to a Slack channel for easy tracking. How to set up Google Sheet: Create a sheet with columns for status, content, platforms, scheduled_time, hashtags, and tone. Credentials: Connect your Google Sheets, OpenAI, Twitter (X), LinkedIn, and Slack accounts. Node Configuration: Select your specific spreadsheet and worksheet in both the "Fetch Content" and "Update Content" nodes. Slack: Specify the channel name or ID in the Slack node to receive notifications. Activation: Test with the Manual Webhook, then toggle the workflow to "Active." Requirements Google Sheets OAuth2** OpenAI API Key** (using GPT-4o-mini or higher) Twitter (X) OAuth2** LinkedIn OAuth2** Slack Bot Token** How to customize the workflow AI Tone**: Modify the "System Message" in the AI Content Optimizer node to match your brand's unique voice. Additional Platforms**: Extend the branching logic after the AI Parse node to include platforms like Discord, Facebook, or Mastodon. Advanced Scheduling**: Adjust the Filter node's JavaScript code if you use a different date format or status labels in your spreadsheet.