Workflow Templates

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 🚀 Start-up Ideas Generator – From Idea to Executive Summary in Minutes Description: This AI-powered n8n workflow helps you brainstorm and validate start-up ideas, perform market research using Perplexity Sonar, and automatically generate a professional business plan — all within minutes. It’s designed for entrepreneurs, accelerators, venture studios, and ideation teams looking to go from a single prompt to a detailed proposal ready to pitch or develop. Watch step-by-step build video of n8n workflows like this: https://www.youtube.com/@Automatewithmarc Setup Instructions Required Credentials: OpenAI API Key – For GPT-4.1 Perplexity Sonar Access Token – For deep research Anthropic Claude API Key – For business plan writing Google Service Account Credentials – To write to Docs How It Works: 💬 Chat Trigger  Start the process by typing a simple request like “Give me a few start-up ideas in AI tech.” 🧠 AI Research Agent (OpenAI + Perplexity Sonar)  The system defines the research scope, taps into Perplexity AI for deep market scans, and outputs high-potential business opportunities including: Market size Customer pain points Competition overview Differentiation strategy 📄 Business Case Generator (Claude)  Each opportunity is expanded into a complete business plan using Claude Sonnet, covering: Executive summary Market analysis Product description Competitor gap Business model & GTM Financials & roadmap 📃 Google Docs Export  The full business plan is automatically inserted into a connected Google Doc for easy sharing, editing, or pitching. Google Docs Configuration: Create a Google Doc titled "Startup Business Plan" (or adjust the title in the node settings) Share the document with your Google service account email Update the Document ID field in the Google Docs node accordingly Ensure that the structure accepts plain text input — formatting is handled by the node Tools & Models Used: LangChain Chat Trigger OpenAI GPT-4.1 (Research Prompt Structuring) Perplexity Sonar Deep Research (Market Research) Anthropic Claude Sonnet (Business Plan Writing) Google Docs Node (Formatted Output) Use Cases: Rapid ideation for venture building or incubators Validating start-up ideas before prototyping Automating market research + proposal writing Generating investor-ready pitch materials

Use Case Automatically responding to X (formerly Twitter) posts can help you engage with potential customers at scale, saving time while maintaining a personal touch. What This Automation Does This automation replies to specified X posts using the following input parameters: airtop_profile: The name of your Airtop Profile connected to X. thread_url: The URL of the X post to reply to. Example reply_text: The message you want to post as a reply. How It Works Creates a browser session using Airtop. Navigates to the specified X post. Types and submits the reply text. Setup Requirements Airtop API Key — free to generate. An Airtop Profile connected to X (requires one-time login). Next Steps Combine with X Monitoring**: Use this with the X monitoring automation to create a fully automated engagement pipeline. Extend to Other Platforms**: Adapt the automation for use on LinkedIn, Reddit, or any web community. Read more about this Airtop Automation.

Automated Email Assistant for Busy Professionals This assistant is designed for people who don't have time to write and send emails to suppliers. With just one request, it drafts and sends clear, professional messages automatically. How It Works The user makes a request (e.g., “Send an email to my fruit supplier asking for a quote on 1 crate of mangoes.”). Workflow: The AI agent searches for the supplier in a Google Sheets database. It automatically drafts the email using OpenAI (with the tone and style you define). It sends the email using your Gmail account connected through n8n. This assistant uses: Google Sheets to manage your suppliers (name and email). OpenAI to generate clear, natural messages. MCP (client-server logic) to handle request processing. Gmail as the sending channel for automated emails. Setup Instructions Create a Google Sheets document with the supplier name and email, like this: |Supplier name|Email| |-|-| |Proveedor de frutas Alvarez|fruteriaalvarez@alvarez.com| Connect your Google Sheets and Gmail accounts within n8n. Add your OpenAI API key. Test the automation by chatting with the integrated assistant. It will generate and send the email automatically to the indicated supplier. Requirements OpenAI API key to generate email content. Gmail account connected via OAuth2. Google Sheets document with your supplier database. n8n instance (cloud or self-hosted). Customization Adjust the OpenAI prompt to make the email tone more formal, casual, or technical. Add custom fields to your supplier sheet (location, notes, special conditions). Replace Google Sheets with a real database like Supabase or PostgreSQL for greater scalability.

Who’s it for: Investors, analysts, and startup enthusiasts who need a complete overview of startups, including industry, product, funding, and leadership information. How it works / What it does: Enter a startup’s name into the form, and the workflow will automatically collect and organize details such as the company’s industry, product, investors, and key decision-makers. All this information is neatly updated in your Google Sheet, making it easy to track and compare startups. How to set up: Sign up for Extruct at www.extruct.ai/. Open the Extruct table template, copy the table ID from the URL, and save it. Copy the Google Sheets template to your own Drive. Paste the table ID into the variables node in your n8n flow. Set up Bearer authentication in each HTTP Request node using your Extruct API token. In the Google Sheets node, paste your template link and connect your Google account. Run the flow once to reveal the mapping fields, then match each field to the correct column. Activate the flow and add startups via the form. Requirements: Extruct account and API token Extruct table template Google account with Google Sheets How to customize the workflow: Add new columns in both the Extruct table and your Google Sheet, then map them in the Google Sheets node to track additional startup data.

A reasoning agent that can think, search, calculate, and remember — powered by GROQ inference and ready to deploy in one click. Unlike traditional AI bots that only respond, this assistant reasons before replying, fetches real-time facts, does math, and keeps short-term memory of your conversation. 🔧 How it works This template builds a conversational AI agent using the GROQ LLaMA 3 or LLaMA 4 API, combined with modular tools like: 🧠 Think Tool – performs step-by-step logical reasoning 🔍 SerpAPI – fetches live data from Google search ➗ Calculator – handles arithmetic and math queries 💾 Memory Buffer – keeps track of the last 5 messages for context Everything is integrated inside n8n and optimized for blazing-fast replies using GROQ’s ultra-low latency. 🧠 Your Agent Will: Understand and analyze your queries Think through solutions before answering Pull real-time data via SerpAPI Perform calculations with the built-in math engine Recall prior context using short-term memory Respond clearly, conversationally — like a real assistant 🧑‍💼 Who is this template for? Perfect for: AI builders and creators using GROQ + n8n Teams needing a real-time LLaMA-powered assistant Beginners exploring LangChain + n8n workflows Developers combining LLMs + tools + memory 🚀 How to Set Up Plug in your GROQ API key Add your SerpAPI key Import and run — it’s ready to chat! All tools are pre-wired. You can expand the memory, customize prompts, or plug in more tools. 📬 Use Cases Connect this agent with: Telegram Bots 🤖 WhatsApp via Twilio 📱 Slack, Discord, or Gmail 💬 Manual triggers in n8n 🔁 👉 Check out more templates by this creator: https://n8n.io/creators/digimetalab

LinkedIn AI Agent: Auto-Post Creator & Multi-Group Distributor Transform simple topic ideas into engaging LinkedIn posts and automatically distribute them across your profile and multiple LinkedIn groups. This powerful n8n workflow combines AI content generation with intelligent distribution, helping you maintain a consistent professional presence while maximizing your reach across relevant communities. 🚀 How It Works This sophisticated 6-step automation turns content ideas into LinkedIn success: Step 1: Smart Content Monitoring The workflow continuously monitors your Google Sheets for new post topics marked as "Pending", checking every minute for fresh content to process. Step 2: AI-Powered Content Generation GPT-4 transforms your basic topic into a professionally crafted LinkedIn post featuring: Compelling opening hooks that grab attention 3-4 informative paragraphs with valuable insights Strategic questions to encourage engagement 4-6 relevant hashtags for discoverability Professional emoji placement for visual appeal Optimized formatting for LinkedIn's platform Step 3: Professional Formatting The workflow ensures your content meets LinkedIn's technical requirements with proper JSON formatting, character limits, and special character handling. Step 4: Personal Profile Publishing Your generated post is automatically published to your personal LinkedIn profile, maintaining your professional brand presence. Step 5: Multi-Group Distribution The same content is intelligently distributed across all your specified LinkedIn groups, amplifying your reach to targeted professional communities. Step 6: Status Management The workflow automatically updates your Google Sheets to mark posts as "Posted", providing clear tracking of your content pipeline. ⚙️ Setup Steps Prerequisites Active LinkedIn account with API access Google Sheets access for content management OpenAI API key with GPT-4 access LinkedIn group memberships with posting permissions n8n instance (cloud or self-hosted) Required Google Sheets Structure Sheet 1 - Main Content: | ID | LinkedIn Post Title | Status | |----|-------------------|--------| | 1 | AI Trends in 2024 | Pending | | 2 | Remote Work Tips | Posted | Sheet 2 - Groups: | GroupIds | |-------------| | 123456789 | | 987654321 | | 456789123 | Note: Collect LinkedIn group IDs from groups where you have posting permissions. These can be found in the group URL or through LinkedIn's API. Configuration Steps Credential Setup Google Sheets OAuth2: Access your content spreadsheet OpenAI API Key: Required for AI content generation LinkedIn OAuth2: Enable profile and group posting HTTP Authentication: Configure LinkedIn API headers Google Sheets Preparation Create spreadsheet with the required two-sheet structure Populate group IDs from your joined LinkedIn groups Add initial post topics with "Pending" status Ensure proper column naming and data types LinkedIn Group Setup Join relevant professional LinkedIn groups Verify posting permissions in each group Collect group IDs using LinkedIn's interface or API Test posting permissions before full automation AI Content Customization The default prompt generates professional LinkedIn content, but can be customized for: Industry-specific terminology and trends Company voice and brand guidelines Target audience preferences Content style (educational, promotional, thought leadership) Workflow Activation Import the workflow JSON into your n8n instance Configure all credential connections Test with sample content before going live Activate the Google Sheets trigger 🎯 Use Cases Content Creators & Influencers Consistent Posting: Maintain regular LinkedIn presence without daily manual work Audience Growth: Reach multiple professional communities simultaneously Content Scaling: Transform brief ideas into full-length engaging posts Brand Building: Establish thought leadership across industry groups Marketing Teams Lead Generation: Share valuable content across targeted professional groups Brand Awareness: Increase visibility in relevant industry communities Thought Leadership: Position company experts as industry authorities Content Distribution: Maximize reach of marketing messages and insights Sales Professionals Pipeline Building: Share insights that attract potential clients Network Expansion: Engage with prospects across multiple professional groups Authority Building: Establish credibility through valuable content sharing Relationship Nurturing: Maintain visibility with existing connections Consultants & Freelancers Client Acquisition: Demonstrate expertise to potential clients Professional Branding: Build reputation across industry-specific groups Service Promotion: Share case studies and success stories broadly Network Building: Connect with peers and potential collaborators Business Leaders & Executives Industry Influence: Share strategic insights across professional networks Talent Attraction: Showcase company culture and opportunities Partnership Development: Connect with potential business partners Market Education: Share expertise to influence industry conversations 🔧 Advanced Customization Options Content Strategy Enhancement Multi-Tone Generation: Create different content styles for various audiences Industry Templates: Pre-built prompts for specific professional sectors Engagement Optimization: A/B testing different post formats and styles Content Calendar Integration: Schedule posts for optimal timing Distribution Intelligence Group Performance Tracking: Monitor engagement across different groups Selective Distribution: Choose specific groups based on content type Audience Segmentation: Tailor content for different professional communities Engagement Analysis: Track which groups provide best ROI Content Quality Control Approval Workflows: Add human review before automatic posting Content Scoring: Rate post quality before distribution Brand Compliance: Ensure posts meet company guidelines Duplicate Detection: Avoid posting similar content too frequently Extended Integration Options CRM Integration: Track leads generated from LinkedIn posts Analytics Platforms: Monitor engagement and conversion metrics Content Management: Connect to existing content planning tools Social Media Expansion: Extend to other professional platforms 📊 Content Generation Features AI Writing Capabilities The workflow generates LinkedIn posts that include: Professional Structure: Attention-grabbing opening statements Well-organized multi-paragraph content Clear value propositions and insights Strategic calls-to-action for engagement LinkedIn Optimization: Platform-specific formatting and spacing Proper hashtag research and placement Emoji usage that enhances readability Character count optimization for maximum impact Engagement Drivers: Thought-provoking questions to encourage comments Industry insights that spark discussions Personal anecdotes that build connections Actionable tips that provide immediate value Sample Output Input Topic: "Remote Work Productivity Tips" Generated Post: 🏠 Working from home has taught me that productivity isn't about being busy—it's about being intentional. After managing remote teams for 3 years, I've discovered that the most successful remote workers share three key habits that transform their daily performance. First, they create physical boundaries even in small spaces. A dedicated workspace signals to your brain that it's time to focus, even if it's just a corner of your kitchen table. Second, they batch similar tasks together. Instead of jumping between emails, calls, and deep work, they group activities to maintain mental flow and reduce cognitive switching costs. Third, they communicate proactively rather than reactively. They share progress updates before being asked and clarify expectations upfront to avoid confusion later. What's your most effective remote work strategy? I'd love to hear what's working for your team! 💪 #RemoteWork #Productivity #WorkFromHome #Leadership #TeamManagement #ProfessionalDevelopment 🛠️ Troubleshooting & Best Practices Common Issues & Solutions LinkedIn API Limitations Respect posting frequency limits to avoid account restrictions Monitor API usage and implement appropriate delays between posts Ensure compliance with LinkedIn's terms of service Maintain authentic engagement rather than purely automated interactions Group Posting Permissions Verify membership status and posting rights before adding group IDs Some groups require administrator approval for posts Monitor group rules and community guidelines Remove inactive or restricted groups from your list Content Quality Control Review AI-generated content periodically for brand consistency Adjust prompts based on engagement performance Maintain a balance between automation and personal touch Monitor comments and engage authentically with your audience Optimization Strategies Performance Enhancement Track engagement metrics across different groups A/B test posting times and content formats Refine prompts based on successful post patterns Gradually expand to new groups based on performance Content Strategy Develop content themes that resonate with your target audience Create series of related posts for deeper engagement Balance promotional content with value-driven insights Maintain consistency in voice and messaging Network Growth Engage with comments on your automated posts Connect with active commenters to expand your network Participate in group discussions beyond your own posts Build genuine relationships through authentic interactions 📈 Success Metrics Engagement Indicators Post Reach: Total views across profile and groups Interaction Rate: Comments, likes, and shares per post Network Growth: New connections from content engagement Group Performance: Which communities provide best engagement Business Impact Measurements Lead Generation: Connections and inquiries from LinkedIn posts Brand Awareness: Mentions and sharing of your content Thought Leadership: Recognition as industry expert Professional Opportunities: Speaking, collaboration, or job opportunities 📞 Questions & Support Need help setting up or optimizing your LinkedIn AI Agent workflow? 📧 Direct Technical Support Email: Yaron@nofluff.online Response Time: Within 24 hours on business days Expertise: LinkedIn API integration, AI prompt optimization, workflow scaling 🎥 Comprehensive Learning Resources YouTube Channel: https://www.youtube.com/@YaronBeen/videos Complete setup walkthrough and configuration Advanced customization techniques and strategies LinkedIn API best practices and limitations Content strategy optimization for maximum engagement Troubleshooting common integration issues 🤝 Professional Networking & Updates LinkedIn: https://www.linkedin.com/in/yaronbeen/ Connect for ongoing automation support and advice Share your LinkedIn growth success stories Get early access to new workflow templates and features Join discussions about LinkedIn marketing automation 💬 Support Request Guidelines Include in your support message: Your current LinkedIn strategy and goals Target audience and industry focus Specific LinkedIn groups you want to target Any technical errors or integration issues Current content creation process and pain points

Extract the main idea and key takeaways from YouTube videos and turn them into Airtable content ideas 📝 Description Automatically turn YouTube videos into clear, structured content ideas stored in Airtable. This workflow pulls new video links from Airtable, extracts transcripts using a RapidAPI service, summarizes them with your favourite LLM, and logs the main idea and key takeaways—keeping your content pipeline fresh with minimal effort. ⚙️ What It Does Scans Airtable for new YouTube video links every 5 minutes. Extracts the transcript of the video using a third-party API via RapidAPI. Summarizes the content to generate a main idea and takeaways. Updates the original Airtable entry with the insights and marks it as completed. 🛠 Prerequisites Before using this template, make sure you have: ✅ A RapidAPI account with access to the youtube-video-summarizer-gpt-ai API. ✅ A valid RapidAPI key. ✅ An OpenAI, Claude or Gemini account connected to n8n. ✅ An Airtable account with a base and table ready. 🧰 Setup Instructions Clone this template into your n8n workspace. Open the Get YouTube Sources node and configure your Airtable credentials. In the Get video transcript node: Enter your X-RapidAPI-Key under headers. The API endpoint is pre-configured. Connect your LLM credentials to the Extract detailed summary node. (Optional) Adjust the summarization prompt in the LangChain node to better suit your tone. Set your preferred schedule in the Trigger node. 📋 Airtable Setup Create a base (e.g., Content Hub) with a table named Ideas and the following columns: | Column Name | Type | Required | Notes | |-------------|------------|----------|----------------------------| | Type | Single select | ✅ | Must be set to Youtube Video | | Source | URL | ✅ | The YouTube video URL | | Status | Checkbox | ✅ | Leave empty initially; updated after processing | | MainIdea | Single line text | ✅ | Summary generated by OpenAI | | Key Takeaways | Long text | ✅ | List of takeaways extracted from the transcript Activate the workflow—and you're done!

🧠 Email real time RAG Assistant with Gmail, OpenAI & PGVector 📌 Who’s it for This workflow is ideal for: Professionals Project managers Sales and support teams Anyone managing high volumes of Gmail messages It enables fast and intelligent search through your email inbox using natural language queries. ⚙️ How it works / What it does Continuously monitors your Gmail inbox for new emails. Extracts email content and metadata (subject, body, sender, date). Converts email content into vector embeddings using OpenAI. Stores embeddings in a PostgreSQL database with PGVector. A conversational AI agent performs semantic search on your stored email history. Supports time-sensitive and context-aware responses via OpenAI Chat model. 🚀 How to set up Connect your Gmail account to the Gmail Trigger node (with API access enabled). Configure OpenAI credentials for the Embedding and Chat nodes. Set up a PostgreSQL database with the PGVector extension enabled. Import the workflow into your n8n instance (Cloud or Self-hosted). Customize parameters like polling frequency, embedding settings, or vector query depth. 📋 Requirements ✅ n8n instance (Self-hosted or Cloud) ✅ Gmail account with API access ✅ OpenAI API Key ✅ PostgreSQL database with PGVector extension installed 🛠️ How to customize the workflow Email Filtering**: Change filters in the Gmail Trigger to watch specific labels or senders. Text Splitting Granularity**: Adjust chunkSize and chunkOverlap in the text splitter node. Query Depth**: Modify topK in the vector search node to retrieve more or fewer similar results. Prompt Tuning**: Customize the system message or agent instructions in the RAG node. Workflow Extensions**: Add notifications, error logging, Slack/Telegram alerts, or data exports.

This n8n template shows you how to connect Github's Free Models to your existing n8n AI workflows. Whilst it is possible to use HTTP nodes to access Github Models, The aim of this template is to use it with existing n8n LLM nodes - saves the trouble of refactoring! Please note, Github states their model APIs are not intended for production usage! If you need higher rate limits, you'll need to use a paid service. How it works The approach builds a custom OpenAI compatible API around the Github Models API - all done in n8n! First, we attach an OpenAI subnode to our LLM node and configure a new OpenAI credential. Within this new OpenAI credential, we change the "Base URL" to point at a n8n webhook we've prepared as part of this template. Next, we create 2 webhooks which the LLM node will now attempt to connect with: "models" and "chat completion". The "models" webhook simply calls the Github Model's "list all models" endpoint and remaps the response to be compatible with our LLM node. The "Chat Completion" webhook does a similar task with Github's Chat Completion endpoint. How to use Once connected, just open chat and ask away! Any LLM or AI agent node connected with this custom LLM subnode will send requests to the Github Models API. Allowing your to try out a range of SOTA models for free. Requirements Github account and credentials for access to Models. If you've used the Github node previously, you can reuse this credential for this template. Customising this workflow This template is just an example. Use the custom OpenAI credential for your other workflows to test Github models. References https://docs.github.com/en/github-models/prototyping-with-ai-models https://docs.github.com/en/github-models

💼 LinkedIn Content Machine – AI-Powered Post Generator & Scheduler for X and LinkedIn How it works: This end-to-end workflow automates your personal or brand content strategy by: 🧠 Using Google Gemini or OpenAI to generate engaging LinkedIn/X content from a title or trending posts. 🗓️ Posting directly to LinkedIn and X (formerly Twitter). 📊 Pulling high-performing LinkedIn posts to inspire new ideas. ✍️ Saving AI-generated drafts to Google Sheets for review. 🔔 Notifying your team on Slack when drafts are ready. Steps to set up: Add your API keys for Google Gemini or OpenAI. Set up your LinkedIn, X (Twitter), Google Sheets, and Slack credentials. Customize prompt logic or post filters if needed. Schedule the idea generation module or trigger it manually. Start generating and posting consistent, high-quality content with zero manual effort!

How it works Transform medical documents into structured data using Google Gemini AI with enterprise-grade accuracy. Classifies document types (receipts, prescriptions, lab reports, clinical notes) Extracts text with 95%+ accuracy using advanced OCR Structures data according to medical taxonomy standards Supports multiple languages (English, Chinese, auto-detect) Tracks processing costs and quality metrics automatically Set up steps Prerequisites Google Gemini API key (get from Google AI Studio) Quick setup Import this workflow template Configure Google Gemini API credentials in n8n Test with a sample medical document URL Deploy your webhook endpoint Usage Send POST request to your webhook: { "image_url": "https://example.com/medical-receipt.jpg", "expected_type": "financial", "language_hint": "auto" } Get structured response: json{ "success": true, "result": { "documentType": "financial", "metadata": { "providerName": "Dr. Smith Clinic", "createdDate": "2025-01-06", "currency": "USD" }, "content": { "amount": 150.00, "services": [...] }, "quality_metrics": { "overall_confidence": 0.95 } } } Use cases Healthcare Organizations Medical billing automation - Process receipts and invoices automatically Insurance claim processing - Extract data from claim documents Clinical documentation - Digitize patient records and notes Data standardization - Consistent structured output format System Integrators EMR integration - Connect with existing healthcare systems Workflow automation - Reduce manual data entry by 90% Multi-language support - Handle international medical documents Quality assurance - Built-in confidence scoring and validation Supported Document Types Financial: Medical receipts, bills, insurance claims, invoices Clinical: Medical charts, progress notes, consultation reports Prescription: Prescriptions, medication lists, pharmacy records Administrative: Referrals, authorizations, patient registration Diagnostic: Lab reports, test results, screening reports Legal: Medical certificates, documentation forms

This workflow creates an end-to-end Instagram content pipeline that automatically discovers trending content from competitor channels, extracts valuable insights, and generates new high-quality scripts for your own content creation. The system helped scale an Instagram channel from 0 to 10,000 followers in just 15 days through intelligent content repurposing. Benefits: Complete Content Automation - Monitors competitor Instagram accounts, downloads new reels, and processes them without manual intervention AI-Powered Script Generation - Uses ChatGPT and Perplexity to analyze content, identify tools/technologies, and rewrite scripts with fresh angles Smart Duplicate Prevention - Automatically tracks processed content in a database to avoid redundant work Multi-Platform Intelligence - Combines Instagram scraping, AI transcription, web research, and content generation in one seamless flow Scalable Content Strategy - Process content from multiple niches and creators to fuel unlimited content ideas Revenue-Focused Approach - Specifically designed to identify monetizable tools and technologies for business-focused content How It Works: Instagram Content Discovery: Uses Apify's Instagram scraper to monitor specified creator accounts for new reels Automatically downloads video content and metadata from target accounts Filters content based on engagement metrics and relevance Intelligent Processing Pipeline: Transcribes video content using OpenAI Whisper for accurate text extraction Filters content using AI to identify tools, technologies, and automation opportunities Cross-references against existing database to prevent duplicate processing Enhanced Research & Analysis: Searches Perplexity AI for additional insights about discovered tools Generates step-by-step usage guides and implementation instructions Identifies unique angles and opportunities for content improvement Script Generation & Optimization: Creates new, original scripts optimized for your specific audience Maintains consistent brand voice while adding fresh perspectives Includes strategic call-to-action elements for audience engagement Required Google Sheets Database Setup: Before running this workflow, create a Google Sheets database with these exact column headers: Essential Columns: id - Unique Instagram post identifier (primary key for duplicate detection) timestamp - When the reel was posted caption - Original reel caption text hashtags - Hashtags used in the post videoUrl - Direct link to download the video file username - Account that posted the reel scrapedTranscript - Original transcript from video (added by workflow) newTranscript - AI-generated script for your content (added by workflow) Additional Tracking Columns: shortCode - Instagram's internal post code url - Public Instagram post URL commentsCount - Number of comments firstComment - Top comment on the post likesCount - Number of likes videoViewCount - View count metrics videoDuration - Length of video in seconds Setup Instructions: Create a new Google Sheet with these column headers in the first row Name the sheet "Reels" Connect your Google Sheets OAuth credentials in n8n Update the document ID in the workflow nodes The merge logic relies on the id column to prevent duplicate processing, so this structure is essential for the workflow to function correctly. Business Use Cases: Content Creators - Scale content production by 10x while maintaining quality and originality Marketing Agencies - Offer content research and ideation as a premium service Course Creators - Identify trending tools and technologies for educational content Revenue Potential: This exact system can be sold as a service for $3,000-$5,000 to growing channels or agencies. The automation saves 10+ hours weekly of manual research and content planning. Difficulty Level: Intermediate Estimated Build Time: 1-2 hours Monthly Operating Cost: ~$30 (API usage) Watch the Complete Build Process Want to see exactly how this system was built from scratch? Nick Saraev walks through the entire development process in this comprehensive tutorial, including all the debugging, dead ends, and problem-solving that goes into building real automation systems. 🎥 Watch: "The N8N Instagram Parasite System (10K Followers In 15 Days)" This 1.5-hour deep-dive shows the actual build process - not a polished demo, but real system development with all the thinking and iteration included. Set Up Steps: Configure Apify Integration: Sign up for Apify account and obtain API key Replace the bearer token in the "Run Actor Synchronously" node Customize the username array with your target Instagram accounts Set Up AI Services: Add OpenAI API credentials for transcription and content generation Configure Perplexity API for enhanced research capabilities Set up appropriate rate limiting for cost control Database Configuration: Create Google Sheets database with provided column structure Connect Google Sheets OAuth credentials Configure the merge logic for duplicate detection Content Filtering Setup: Customize the AI prompts for your specific niche and requirements Adjust the filtering criteria for tool/technology detection Set up the script generation template to match your brand voice Automation Schedule: Configure the schedule trigger for daily content monitoring Set optimal timing based on your content creation workflow Test the complete flow with a small number of accounts first Advanced Customization: Add additional content sources beyond Instagram Integrate with your existing content management systems Scale up monitoring to dozens of competitor accounts More AI Automation Systems:* For more advanced automation tutorials and business systems, check out My YouTube Channel where I share proven automation strategies that generate real revenue.