Workflow Templates

Who's it for This workflow is perfect for directory site creators, content managers, and developers who need to automatically find and select the highest quality favicon or logo for websites they're showcasing. Instead of manually hunting down brand assets or settling for blurry default icons, this workflow does the heavy lifting by fetching multiple options and using AI to pick the best one. How it works The workflow takes a website URL and domain as input, then intelligently fetches favicon images from three different sources: Google's Favicon API - Gets the site's actual favicon Logo.dev - Provides high-quality brand logos Clearbit - Alternative logo source for business websites Once all images are collected, the workflow uses OpenAI's vision model to analyze each icon based on: Image quality and resolution (minimum 256x256) Brand authenticity (avoiding generic framework icons) Visual clarity without artifacts or blur Professional presentation suitable for directory listings The AI assigns quality scores from 0.0 to 1.0, and the workflow automatically returns the URL of the highest-scoring favicon. Requirements OpenAI API key (for image analysis) Logo.dev API key (free tier available) How to set up Configure API credentials: Add your OpenAI API key to n8n credentials Sign up for Logo.dev and add your API token The Clearbit and Google APIs require no authentication Test the workflow: Use the pinned test data (Fyxer AI example) or replace with your own Ensure all HTTP nodes can successfully fetch images Verify the AI analysis is working by checking the quality scores Customize input format: Modify the workflow trigger to accept your preferred input format Adjust the domain extraction logic if needed for your use case How to customize the workflow For different quality criteria: Edit the AI prompt in the "analyze_each_icon" node to emphasize different aspects (transparency, size, style preferences) For additional favicon sources: Add more HTTP Request nodes pointing to other favicon/logo APIs Update the merge node to handle additional inputs Modify the final URL construction logic to handle new sources For batch processing: Wrap this workflow in a loop to process multiple websites at once Add error handling for failed requests or AI analysis timeouts The workflow is designed to be reliable and handles errors gracefully - if one favicon source fails, it continues with the available options and still provides the best result possible.

This n8n workflow automates the process of scraping LinkedIn profiles using the Apify platform and organizing the extracted data into Google Sheets for easy analysis and follow-up. Use Cases Lead Generation**: Extract contact information and professional details from LinkedIn profiles Recruitment**: Gather candidate information for talent acquisition Market Research**: Analyze professional networks and industry connections Sales Prospecting**: Build targeted prospect lists with detailed professional information How It Works 1. Workflow Initialization & Input Webhook Start Scraper**: Triggers the entire scraping workflow Read LinkedIn URLs**: Retrieves LinkedIn profile URLs from Google Sheets Schedule Scraper Trigger**: Sets up automated scheduling for regular scraping 2. Data Processing & Extraction Data Formatting**: Prepares and structures the LinkedIn URLs for processing Fetch Profile Data**: Makes HTTP requests to Apify API with profile URLs Run Scraper Actor**: Executes the Apify LinkedIn scraper actor Get Scraped Results**: Retrieves the extracted profile data from Apify 3. Data Storage & Completion Save to Google Sheets**: Stores the scraped profile data in organized spreadsheet format Update Progress Tracker**: Updates workflow status and progress tracking Process Complete Wait**: Ensures all operations finish before final steps Send Success Notification**: Alerts users when scraping is successfully completed Requirements Apify Account Active Apify account with sufficient credits API token for authentication Access to LinkedIn Profile Scraper actor Google Sheets Google account with Sheets access Properly formatted input sheet with LinkedIn URLs Credentials configured in n8n n8n Setup HTTP Request node credentials for Apify Google Sheets node credentials Webhook endpoint configured How to Use Step 1: Prepare Your Data Create a Google Sheet with LinkedIn profile URLs Ensure the sheet has a column named 'linkedin_url' Add any additional columns for metadata (name, company, etc.) Step 2: Configure Credentials Set up Apify API credentials in n8n Configure Google Sheets authentication Update webhook endpoint URL Step 3: Customize Settings Adjust scraping parameters in the Apify node Modify data fields to extract based on your needs Set up notification preferences Step 4: Execute Workflow Trigger via webhook or manual execution Monitor progress through the workflow Check Google Sheets for scraped data Review completion notifications Good to Know Rate Limits**: LinkedIn scraping is subject to rate limits. The workflow includes delays to respect these limits. Data Quality**: Results depend on profile visibility and LinkedIn's anti-scraping measures. Costs**: Apify charges based on compute units used. Monitor your usage to control costs. Compliance**: Ensure your scraping activities comply with LinkedIn's Terms of Service and applicable laws. Customizing This Workflow Enhanced Data Processing Add data enrichment steps to append additional information Implement duplicate detection and merge logic Create data validation rules for quality control Advanced Notifications Set up Slack or email alerts for different scenarios Create detailed reports with scraping statistics Implement error recovery mechanisms Integration Options Connect to CRM systems for automatic lead creation Integrate with marketing automation platforms Export data to analytics tools for further analysis Troubleshooting Common Issues Apify Actor Failures**: Check API limits and actor status Google Sheets Errors**: Verify permissions and sheet structure Rate Limiting**: Implement longer delays between requests Data Quality Issues**: Review scraping parameters and target profiles Best Practices Test with small batches before scaling up Monitor Apify credit usage regularly Keep backup copies of your data Regular validation of scraped information accuracy

Who's it for This workflow is designed for users who want to implement iterative AI-powered content improvement processes. It's ideal for content creators, marketers, product managers, and anyone who needs to refine ideas through multiple rounds of critique and enhancement until they meet quality standards. How it works The workflow creates a sophisticated feedback loop using three specialized AI agents that work together to continuously improve content. Starting with an initial input (like a product description), the system generates ideas and then enters a reasoning loop where: A Critic Agent analyzes the current output and identifies flaws or areas for improvement A Refiner Agent takes the original input plus the critic's feedback to create enhanced versions An Evaluator Agent assesses the refined output and determines if it meets the quality threshold The loop continues until either the evaluator determines the output is satisfactory or a maximum number of iterations is reached (configurable, default is 5 turns). How to set up Configure the initial AI agent to generate your starting content Set up the loop structure with "Reset Loop" enabled in the loop node options Configure three AI agents within the loop: Critic: Provide detailed analysis prompts for identifying improvements Refiner: Create prompts that incorporate feedback to enhance content Evaluator: Define quality criteria and decision-making logic Add Edit Fields nodes at the beginning and end of the loop to maintain data structure Include a Code node to track iteration count and loop control Set up the IF node to check exit conditions (max turns or completion status) Requirements n8n workflow environment Access to AI/LLM nodes (OpenAI, Anthropic, etc.) Basic understanding of JSON data structures Configured AI model credentials How to customize the workflow Customize the system prompts for each agent based on your specific use case. The critic should focus on your quality criteria, the refiner should understand your improvement goals, and the evaluator should have clear success metrics. Adjust the maximum iteration count in the code node and IF condition based on your complexity needs and token budget considerations.

Good to know: This workflow automatically processes incoming emails (you can filter them base on your needs) and creates concise AI-powered summaries, then logs them to a Google Sheets spreadsheet for easy tracking and analysis. Who is this for? ➖Business professionals who receive many emails and need quick summaries ➖Customer service teams tracking email communications ➖Project managers monitoring email correspondence ➖Anyone who wants to automatically organize and summarize their email communications What problem is this workflow solving? This workflow solves the problem of email overload by automatically reading incoming emails, generating concise summaries using AI, and organizing them in a structured format. It eliminates the need to manually read through every email to understand the key points and maintains a searchable record of communications. What this workflow does: ✅Monitors your Gmail inbox for new emails ✅Filters emails based on specific criteria (sender validation) ✅Extracts key information (sender, date, subject, content) ✅Uses AI to generate concise summaries of email content ✅Automatically logs all data including the AI summary to a Google Sheets spreadsheet How it works: 1️⃣Gmail trigger monitors for new emails at specified intervals 2️⃣Email data is processed and formatted using JavaScript 3️⃣A conditional check validates the sender 4️⃣AI agent (powered by Groq's language model) reads the email content and generates a summary 5️⃣All information is automatically appended to a Google Sheets document How to use: Set up Gmail OAuth2 credentials in n8n Configure Google Sheets OAuth2 credentials Set up Groq API credentials for AI processing Create a Google Sheets document and update the document ID Customize the sender validation criteria as needed Activate the workflow Requirements: ✅n8n instance (cloud or self-hosted) ✅Gmail account with OAuth2 access ✅Google Sheets account ✅AI API ✅Basic understanding of n8n workflow Customizing this workflow: 🟢Modify the Gmail trigger filters to target specific labels or criteria 🟢Adjust the sender validation logic in the conditional node 🟢Customize the AI prompt to change summary style or focus 🟢Add additional data fields to the Google Sheets output 🟢Change the polling frequency for checking new emails 🟢Switch to different AI models by replacing the Groq node

How it Works This workflow automates the complete newsletter management process from content creation to client delivery, using Google Sheets, AI content generation, Google Drive, and Gmail. Whether you're a content creator, marketing agency, or small business owner, this workflow helps you automate newsletter creation and manage client communications with built-in approval workflows — all triggered from a simple spreadsheet. 🎯 Use Case Ideal for: Marketing Teams** streamlining newsletter distribution Agencies** managing multiple client newsletters Content Creators** automating regular communications Small Businesses** maintaining customer engagement Setup Instructions 1. Upload the Spreadsheet File name: Newsletter_Management Sheet structure: | ID | Topic | Client Name | Client Email | Status | Created Date | Send Date | Add newsletter topics and set their Status as Pending 2. Configure Google Sheets Nodes Connect your Google account to: Get topic from newsletter sheet Pick records to send email to client Get Client email address Update Status as Generated Update status as Sent 3. Add API Credentials OpenAI API Key** → for AI content generation Google Drive Access** → for document storage Gmail Account** → for sending newsletters and notifications 4. Activate the Workflow Once live, the workflow will: Manual Path: Generate newsletter content from pending topics Scheduled Path: Send approved newsletters to clients automatically Track status updates throughout the entire process Store generated content in Google Drive Send admin notifications and client emails 🔁 Workflow Logic Main Workflow (Content Generation) Trigger: Manual activation for newsletter creation Retrieve: Pending topics from Google Sheets Validate: Status confirmation (Pending only) Generate: AI-powered HTML newsletter content Store: Upload to Google Drive Notify: Send completion email to admin Update: Mark status as "Generated" Scheduled Workflow (Client Distribution) Trigger: Schedule-based activation Retrieve: Approved newsletters from Google Sheets Validate: Status confirmation (Approved only) Lookup: Client email addresses Loop: Process multiple recipients Send: Personalized newsletters via Gmail Update: Mark status as "Sent" 🧩 Node Descriptions | Node Name | Description | |-----------|-------------| | When clicking 'Test workflow' | Manual trigger to start newsletter generation | | Get topic from newsletter sheet | Retrieves pending newsletter topics from Google Sheets | | Validate Status as Pending | Checks whether status is 'Pending' for processing | | Create HTML for Newsletter | AI-powered content generation using OpenAI | | Prepare Data to create word doc | Formats generated content for document creation | | Upload doc to google drive | Stores completed newsletters in Google Drive | | Send an email to admin | Notifies administrators of completion | | Update Status as Generated | Marks processed items as 'Generated' | | Schedule Trigger | Automated trigger for client email distribution | | Pick records to send email to client | Retrieves approved newsletters for sending | | Validate Status as Approved | Ensures only approved content is processed | | Get Client email address | Fetches client contact information | | Loop Over Items | Processes multiple newsletter recipients | | Send email to client | Delivers personalized newsletters via Gmail | | Update status as Sent | Marks newsletters as successfully delivered | 🛠️ Customization Tips Modify AI prompts for different content styles and tones Add Slack notifications instead of or alongside Gmail Export to different formats (PDF, Word, etc.) Schedule multiple sending times for different client segments Add approval workflows with webhook triggers Integrate with CRM systems for client management 📒 Suggested Sticky Notes for Workflow | Node/Section | Sticky Note Content | |--------------|---------------------| | Manual Trigger | "Click to start newsletter generation process" | | AI Content Generation | "Customize prompts here for different newsletter styles" | | Google Drive Upload | "Organized storage - change folder structure as needed" | | Gmail Admin Notification | "Update admin email addresses and notification templates" | | Schedule Trigger | "Set optimal sending times for your audience" | | Client Email Loop | "Handles bulk sending - monitors for delivery errors" | | Status Updates | "Maintains audit trail - prevents duplicate processing" | 📎 Required Files | File Name | Purpose | |-----------|---------| | Newsletter_Management.xlsx | Google Sheet to manage topics, clients, and status tracking | | Client_Database.xlsx | Client contact information and preferences | | Newsletter_Workflow.json | Main n8n workflow export for this automation | 🧪 Testing Tips Add one test topic with status = Pending and run manual trigger Verify AI content generation produces quality HTML Check Google Drive upload and folder organization Test admin email delivery and formatting Add test client with valid email for scheduled workflow Monitor workflow logs for API responses and errors Confirm status updates occur at each step 🏷 Suggested Tags & Categories #Newsletter #EmailMarketing #ContentGeneration #ClientCommunication #Automation #GoogleWorkspace #AIContent #MarketingAutomation #WorkflowManagement #BusinessProcess 🔧 Prerequisites Google Workspace account (Sheets, Drive, Gmail) OpenAI API account with GPT-4 access n8n instance (Cloud or self-hosted) Basic understanding of Google Sheets and email marketing 📊 Expected Performance Setup Time**: 30-45 minutes Monthly Executions**: 100-500 (varies by newsletter frequency) Processing Time**: 2-5 minutes per newsletter Scalability**: Handles 100+ clients efficiently 🚨 Important Notes Ensure proper Google API permissions are configured Monitor OpenAI API usage and rate limits Set up error handling for failed email deliveries Regularly backup your Google Sheets data Test thoroughly before production deployment 💡 Advanced Features Approval Workflows**: Add manual approval steps between generation and sending A/B Testing**: Create multiple versions and track performance Analytics Integration**: Connect with Google Analytics for tracking Multi-language Support**: Generate content in different languages Dynamic Personalization**: Use client data for personalized content

This workflow automates the generation and delivery of personalized business documents (e.g., contracts, job offers, invoices, pay slips) in PDF format. The data source is a Google Sheet, and the documents are created using CraftMyPDF, then uploaded to Google Drive and optionally sent via email. This workflow is ideal for bulk document generation (contracts, invoices, etc.) with minimal manual intervention. Benefits Fully Automated**: Once triggered, it handles the whole pipeline end-to-end—no manual editing or document creation needed. Customizable**: Works with any type of business document as long as you provide a CraftMyPDF template. Scalable**: Processes multiple entries in batch, ideal for HR departments or finance teams. Integrated**: Seamlessly connects Google Sheets, CraftMyPDF, Google Drive, and Gmail. Trackable**: Updates the original spreadsheet to keep track of which documents have been processed. Requirements Self-hosted n8n instance (required for some advanced node usage). Google Sheet template with columns like: FIRST NAME, LAST NAME, ADDRESS, etc. A CraftMyPDF account with a ready-made template. Google OAuth2 credentials for Sheets, Drive, and Gmail integrations. How It Works Trigger & Data Fetch: The workflow starts with a manual trigger ("When clicking ‘Execute workflow’"). It retrieves employee data from a Google Sheet ("Get employees"), filtering rows where the "DONE" column is empty. PDF Generation & Processing: The "Loop Over Items" node processes each employee record individually. The "Create agreement" node uses CraftMyPDF to generate a PDF contract, populating it with employee details (name, address, email, etc.). A conditional node ("Success?") checks if PDF creation was successful. PDF Handling & Notifications: The PDF is fetched ("Get agreement") and uploaded to Google Drive ("Upload agreement") with a filename like [First-Name]-[Last-Name].pdf. An email with the PDF attachment is sent to the employee via Gmail ("Send email with PDF"). Tracking & Completion: The Google Sheet row is updated with "x" in the "DONE" column ("Update row") to mark completion. The workflow merges results and loops until all records are processed. Set Up Steps Prerequisites: Use the self-hosted version of n8n (required for this workflow). Clone the provided Google Sheet template. Configure CraftMyPDF: Create an account on CraftMyPDF. Design a PDF template and note its Template ID. Insert this ID in the "Create agreement" node. Credentials Setup: Connect nodes to: Google Sheets (to fetch/update data). Google Drive (to store PDFs). Gmail (to send emails). CraftMyPDF (for PDF generation). Customization: Adjust field mappings in the "Create agreement" node to match your PDF template placeholders. Modify the email template in "Send email with PDF" as needed. Execution: Run the workflow manually. It will process all rows lacking a "DONE" marker, generating PDFs, sending emails, and updating the sheet automatically. Need help customizing? Contact me for consulting and support or add me on Linkedin.

🧾 What this workflow does This workflow automatically generates avatar-style videos from the latest AI-related news using Dumpling AI and HeyGen. It runs every hour, scrapes trending articles, turns them into 30–60 second spoken scripts with GPT-4o, and produces short avatar videos with HeyGen. Finally, it logs the final video URL in a Google Sheet. 👤 Who is this for Newsletters and creators who want to automate AI trend updates Content marketers generating short-form video content Product teams experimenting with AI-generated summaries Automation enthusiasts combining LLMs + video + trending data ⚙️ How to set up 🔐 Requirements Dumpling AI API Key** stored securely as HTTP Header credential HeyGen API Key** added as an HTTP Header credential OpenAI API Key** for GPT-4o (can use GPT-4o-mini if preferred) Google Sheets account** with one column: Video link 🛠 Step-by-step setup Google Sheet Setup Create a Google Sheet with a single column named: Video link Update Credentials Use n8n’s credential manager to add tokens for: Dumpling AI HeyGen OpenAI Google Sheets Optional Customizations In the "Dumpling AI: Search AI News" node, you can change "query": "AI Agent" to other trending keywords (e.g., "Generative AI", "Autonomous Agents", etc.) Update the avatar_id and voice_id in the HeyGen request to match your preferred look/sound 🧠 How it works The Schedule Trigger runs hourly. Dumpling AI searches for fresh news related to "AI Agent." The top 4 news links are scraped for full content. Articles are merged and fed into GPT-4o via a LangChain Agent to produce a casual, conversational video script. HeyGen creates a video using the script, avatar, and voice. The workflow waits until the video rendering is complete. Once done, the final video link is logged into Google Sheets. 🧪 Customization Ideas Change the interval (e.g., every 6 hours, daily) Swap avatar/voice in HeyGen to fit your brand Expand to post the video directly to social media Add image background or B-roll overlays using Creatomate This is a fast, automated pipeline to create explainer-style AI news updates using real-time data and generative video tools.

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

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.

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!