Workflow Templates

Who is this for? This workflow is perfect for HR teams, recruiters, and hiring platforms that need to automate the extraction of key candidate details—like name, email, skills, and education—from resume files submitted in various formats. What problem does this solve? Manually reviewing and extracting structured data from resumes is time-consuming and error-prone. This automation eliminates that bottleneck, standardizing candidate data for seamless integration into CRMs, applicant tracking systems, or Google Sheets. What this workflow does This n8n template listens for uploaded resume files, detects their format (PDF, DOC, TXT, CSV, etc.), and automatically extracts the raw text using n8n’s built-in file extraction tools. The extracted text is then parsed using an OpenAI-powered agent that returns structured fields such as: Full Name Email Address Skill Keywords Education Details Optionally, you can push the structured output to Google Sheets (node included, currently disabled). Setup Clone this workflow into your n8n instance. Enable the When chat message received trigger if using n8n chat. Provide your OpenAI credentials and enable the LangChain Agent node. (Optional) Connect Google Sheets by authenticating with your Google account and filling in your target document and sheet. Watch the setup and demo video here: 🎥 https://youtu.be/2SUPiNmLWdA How to customize Modify the OpenAI system message to extract different fields (e.g., phone number, LinkedIn). Replace the Google Sheets node with a webhook to push results to your ATS. Add filters to limit accepted file types or max file size. > ⚠️ This template is designed to be secure. It uses credentials stored in the n8n credential manager—no hardcoded secrets required.

This template enables fully automated lead enrichment using Surfe’s bulk API. Simply drop a Google Spreadsheet into your Google Drive, and n8n will handle everything — from reading the leads, enriching them in batches, filtering valid data, and pushing results to HubSpot. 1. ❓ What Problem Does This Solve? Manually enriching contact lists is tedious, error-prone, and doesn’t scale. Whether you’re importing leads from events, marketing forms, or partners, this workflow ensures each record is enriched and synced to your CRM — hands-free. 2. 🧰 Prerequisites To use this template, you’ll need: A self-hosted or cloud instance of n8n A Surfe API Key A Google Drive and Sheets account (with OAuth or service account) A HubSpot account with access to create/update contacts (via OAuth or Private App Token) The workflow JSON file (included with this tutorial) 3. 📌 Input File Format To run the automation, you must upload a Google Spreadsheet to a specific folder in your Drive. The spreadsheet must contain the following columns: first name (required) last name (required) Either company name or company domain (at least one is required) linkedin url (optional) 🛑 Important: Any row missing first name, last name, and both company name and company domain will be ignored automatically by the workflow. Each row represents a person to enrich. We recommend including the linkedin url if available, but it's not mandatory. 4. ⚙️ Setup Instructions 4.1 🔐 Create Your Credentials in n8n 4.1.1 📁 Google Drive To connect Google Drive and Google Sheets in your workflow, you need to authorize n8n via Google OAuth 2.0 using a Client ID and Client Secret from the Google Cloud Console. 📋 Step 1: Create a Google Cloud Project Visit Google Cloud Console Create a new project or select an existing one Navigate to APIs & Services → OAuth consent screen ⚙️ Step 2: Configure the OAuth Consent Screen Enter the following: App name (e.g. n8n Integration) User support email Choose Audience Type: Internal if you’re using a Google Workspace account External if using a personal Gmail account Under Contact information email address Click Save and Continue 🔑 Step 3: Create OAuth Client Credentials Go to APIs & Services → Credentials Click + Create Credentials → OAuth Client ID Select Web application as the application type Name it (e.g. n8n Google Drive Access) In Authorized redirect URIs, paste this: https://oauth.n8n.cloud/oauth2/callback (Or your self-hosted n8n redirect URI) Click Create Copy the Client ID and Client Secret ✅ Step 4: Finish Setup in n8n In n8n, go to Credentials → Create New → Google Drive / Google Sheets Choose OAuth2 Paste your: Client ID Client Secret Redirect URL (should match Google Console) Click Sign in with Google Authorize access and save the credential ✅ Your Google Drive is now ready to use in workflows. 4.1.2 📊 Google Sheets OAuth2 API Go to n8n → Credentials Create new credentials: Type: Google Sheets OAuth2 API Here a pop-up will open where you can login to your Google account from where you will read the Google Sheets When it’s done you should see this on n8n 4.1.3 📧 Gmail OAuth2 API Go to n8n → Credentials Create new credentials: Type: Gmail OAuth2 API A pop-up window will appear where you can log in with your Google account that is linked to Gmail Make sure you grant email send permissions when prompted 4.1.4 🚀 Surfe API In your Surfe dashboard → Use Surfe Api → copy your API key Go to n8n → Credentials → Create Credential Choose Credential Type: Bearer Auth Name it something like SURFE API Key Paste your API key into the Bearer Token Save 4.1.5 🎯 HubSpot 🔓 Private App Token Go to HubSpot → Settings → Integrations → Private Apps Create an app with scopes: crm.objects.contacts.read crm.objects.contacts.write crm.schemas.contacts.read Save the App token Go to n8n → Credentials → Create Credential → HubSpot App Token Paste your App Token ✅ You are now all set for the credentials 4.2 📥 Import and Configure the N8N Workflow Import the provided JSON workflow into N8N Create a New Blank Workflow click the … on the top left Import from File 4.2.1 🔗 Link Nodes to Your Credentials In the workflow, link your newly created credentials to each node of this list : Google Drive Node -> Credentials to connect with → Google Drive Account Google Sheets -> Credentials to connect with → Google Sheets Account Gmail Node Credentials to connect with → Gmail account Hubspot Node →Credentials to connect with → Gmail account Surfe HTTP nodes: Authentication → Generic Credential Type Generic Auth Type → Bearer Auth Bearer Auth → Select the credentials you created before Surfe HTTP nodes Surfe HTTP nodes HubSpot node → Credentials to connect with → select your HubSpot credentials in the list 4.2.2 🔧 Additional Setup for the Google Drive Trigger Node 5. 🔄 How This N8N Workflow Works A new Google Sheet containing a linkedin_url column is added to a specific folder in Google Drive n8n detects the new file automatically via the Google Drive Trigger All rows are read and batched in groups of 500 to comply with Surfe’s API limits Each batch is sent to Surfe’s Bulk Enrichment API n8n polls Surfe until the enrichment job is complete It extracts the enriched contact data from Surfe’s response Only contacts with both email and phone number are kept These validated leads are pushed to HubSpot Finally, a Gmail notification is sent to confirm the job is complete 6. 🧩 Use Cases Post-event contact enrichment** – After a trade show, upload a list of LinkedIn profile URLs from badge scans or lead capture forms Outbound LinkedIn campaign follow-ups** – Gather LinkedIn URLs from manual outreach and enrich them into usable CRM leads CRM data enhancement** – Use LinkedIn URLs to fill in missing contact info for existing or imported contacts List building from LinkedIn exports** – Upload a list of LinkedIn profiles (e.g. from Sales Navigator) and turn them into fully enriched contacts in HubSpot 7. 🛠 Customization Ideas 🔁 Add retry logic for failed Surfe enrichment jobs 📤 Log enriched contacts into a Google Sheet or Airtable 🔍 Add pre-check logic to avoid creating duplicates in HubSpot 📊 Extend the flow to generate a basic summary report of enriched vs rejected contacts 8. ✅ Summary This workflow turns a basic Google Sheet of LinkedIn URLs into fully enriched, CRM-ready contacts — automatically synced with HubSpot. Just upload your file. Let Surfe do the rest.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 🤖 AI Image Generator Telegram Bot Transform simple text descriptions into stunning AI-generated images through a Telegram bot powered by Google's Gemini 2.0 Flash image. This workflow automatically enhances user prompts with professional prompt engineering techniques and delivers high-quality images directly to your Telegram chat. 🎯 What This Workflow Does This automation creates an intelligent Telegram bot that: Receives text messages** from users describing what image they want Enhances prompts** using AI-powered prompt engineering to add artistic details, lighting, composition, and style specifications Generates images** using Google's Gemini 2.0 Flash image generation model Delivers results** instantly back to the user's Telegram chat ⚡️ Key Features Smart Prompt Enhancement**: Automatically transforms basic requests like "a cat on a windowsill" into detailed, professional prompts with lighting, composition, and style details Professional Image Quality**: Leverages Google's latest Gemini 2.0 Flash model for high-quality image generation Instant Delivery**: Images are generated and sent back to users within seconds User-Friendly**: Simple text-to-image conversion through familiar Telegram interface Structured Output**: Uses JSON schema to ensure consistent prompt formatting 🛠️ How It Works Telegram Trigger: Listens for incoming messages from users AI Prompt Enhancement: Uses Gemini 2.5 Flash Lite to analyze and expand user requests into detailed prompts Structured Processing: Formats the enhanced prompt using JSON schema for consistency Image Generation: Sends the enhanced prompt to Gemini 2.0 Flash image generation API File Conversion: Converts the generated image data to a file format Delivery: Sends the generated image back to the user via Telegram 🎭 Use Cases Creative Content Creation**: Generate artwork, illustrations, and visual concepts Social Media Content**: Create unique images for posts and stories Concept Visualization**: Turn ideas into visual representations Educational Materials**: Generate images for presentations and learning materials Personal Projects**: Create custom artwork for personal use 📋 Prerequisites Before setting up this workflow, you'll need: Required Accounts & APIs: Telegram Bot Token**: Create a bot via @BotFather Google AI Studio Account**: Access to Gemini API services Required Credentials: Telegram Bot API credentials Google Gemini API key with access to: Gemini 2.5 Pro (for prompt enhancement) Gemini 2.0 Flash Preview (for image generation) 🚀 Setup Instructions Import the Workflow: Copy the workflow JSON into your n8n instance Configure Telegram Bot: Create a new bot using @BotFather Add your bot token to the Telegram credentials in n8n Set Up Google Gemini API: Create API key from Google AI Studio and add to n8n credentials Activate the Workflow: Enable the workflow to start receiving messages 💡 Customization Options Prompt Templates**: Modify the prompt enhancement instructions for different artistic styles Image Parameters**: Adjust generation settings for different image formats and qualities Response Formats**: Customize how images are delivered (with captions, multiple formats, etc.) 📊 Example Interaction User Input: "Generate a beautiful image of a dragon from game of thrones" Enhanced Prompt: "A majestic, formidable dragon, reminiscent of those from Game of Thrones, perched atop a jagged, snow-capped mountain peak. The dragon is depicted with immense, leathery wings unfurled, scales glinting with iridescent blues and deep charcoals under the harsh, cold light. Its eyes glow with an inner, fiery amber. The scene is captured with a dramatic, low-angle wide shot, emphasizing the dragon's sheer scale against a turbulent, stormy sky filled with dark, bruised clouds and streaks of lightning. The atmosphere is oppressive and foreboding, with biting wind and swirling snow creating a sense of raw power and danger. The color palette is dominated by icy blues, stark greys, deep blacks, and the contrasting fiery glow of the dragon's eyes and perhaps a hint of internal fire. Rendered in a hyperrealistic, cinematic digital art style, with exceptional attention to detail on the scales, musculature, and the texture of the rocky environment. Lighting is dramatic and high-contrast, with sharp highlights on the dragon's form and deep, impenetrable shadows. Quality specifications include ultra-high detail, 8K resolution, photorealistic rendering, and an epic, awe-inspiring mood, evoking the grandeur and terror of powerful fantasy creatures." Result: 🔧 Technical Details AI Models**: Google Gemini 2.5 Pro (prompt enhancement) + Gemini 2.0 Flash Preview (image generation) Messaging**: Telegram Bot API Output Format**: High-quality images in standard formats Processing Time**: Typically 10-15 seconds per image for Gemini 2.5 Flash and 25-30 seconds Gemini for 2.5 Pro

This cutting-edge n8n automation is a sophisticated video intelligence tool designed to transform raw video content into actionable insights. By intelligently connecting Google Drive, AI analysis, and automated processing, this workflow: Discovers Video Content: Automatically retrieves videos from Google Drive Supports scheduled or on-demand analysis Eliminates manual content searching Advanced AI Analysis: Leverages Google Gemini AI Provides comprehensive video insights Extracts meaningful content summaries Intelligent Processing: Validates file status Prepares content for AI analysis Ensures high-quality insight generation Seamless Workflow Integration: Automated scheduling Cross-platform content processing Reduces manual intervention Key Benefits 🤖 Full Automation: Zero-touch video intelligence 💡 AI-Powered Insights: Advanced content analysis 📊 Comprehensive Processing: Detailed video understanding 🌐 Multi-Platform Synchronization: Seamless content flow Workflow Architecture 🔹 Stage 1: Content Discovery Scheduled Trigger**: Automated workflow initiation Google Drive Integration**: Video file retrieval Intelligent File Selection**: Identifies target videos Prepares for AI analysis 🔹 Stage 2: Content Preparation File Download** LLM Chain Processing** AI-Ready Content Formatting** 🔹 Stage 3: AI Analysis Gemini API Integration** Comprehensive Content Examination** Intelligent Insight Generation** 🔹 Stage 4: Result Structuring Analysis Result Formatting** Structured Insight Preparation** Ready-to-Use Intelligence** Potential Use Cases Content Creators**: Video content analysis Marketing Teams**: Content insight generation Educational Institutions**: Lecture and presentation review Research Organizations**: Automated video intelligence Media Companies**: Rapid content assessment Setup Requirements Google Drive Connected Google account Configured video folder Appropriate sharing settings Google Gemini API API credentials Configured analysis parameters Access to Gemini Pro model n8n Installation Cloud or self-hosted instance Workflow configuration API credential management Future Enhancement Suggestions 🤖 Multi-model AI analysis 📊 Detailed insight scoring 🔔 Automated reporting 🌐 Cross-platform insight sharing 🧠 Advanced content categorization Technical Considerations Implement robust error handling Use secure API authentication Maintain flexible content processing Ensure compliance with AI usage guidelines Ethical Guidelines Respect content privacy Maintain transparent analysis practices Ensure appropriate content usage Protect intellectual property rights Hashtag Performance Boost 🚀 #AIVideoAnalysis #ContentIntelligence #GeminiAI #VideoInsights #AutomatedLearning #AIWorkflow #MachineLearning #ContentAnalytics #TechInnovation #AIAutomation Workflow Visualization [Schedule Trigger] ⬇️ [Download from Drive] ⬇️ [LLM Chain Processing] ⬇️ [Check File Status] ⬇️ [Analyze Video] ⬇️ [Format Analysis Result] Connect With Me Ready to revolutionize your video intelligence? 📧 Email: Yaron@nofluff.online 🎥 YouTube: @YaronBeen 💼 LinkedIn: Yaron Been Transform your video content analysis with intelligent, automated solutions!

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. **This n8n template automates candidate outreach, call transcription, and structured feedback capture for HR teams and recruiters. It triggers on a new candidate row added in a Google Sheet, initiates a call using Vapi.ai, processes the transcript using Google Gemini, extracts key information like CTC, experience, and notice period, and then updates the same Google Sheet with parsed insights. This is ideal for recruiters or HR teams conducting high-volume candidate outreach and wanting to scale initial data collection using automated voice bots and AI transcription analysis.** How it works Trigger: Listens for new rows added to a Google Sheet (e.g., a new candidate lead). Call Initiation: Uses Vapi.ai to make a phone call to the candidate using an assistant bot. Transcript Retrieval: After the call, fetches the conversation transcript from the Vapi API. AI Transcript Analysis: Google Gemini parses the transcript and extracts structured fields like: Work experience Current & expected CTC Notice period & negotiability Work preferences and location Data Mapping: Extracted insights are mapped to structured JSON fields. Google Sheet Update: The same row in the source Sheet is updated with the collected information. Use Cases Pre-screening calls for job applicants Collecting missing candidate information asynchronously Replacing manual HR data entry with AI-powered automation Smart CRM updates from voice interactions Requirements Before you run this workflow, ensure the following: ✅ Google account with access to Google Sheets API ✅ Vapi.ai account with: Assistant ID Phone number ID Active API key ✅ Google Gemini API (via PaLM) enabled ✅ n8n version 1.40.0 or later with relevant credentials configured How to use Import the workflow into n8n. Set up your credentials for: Google Sheets Trigger Google Sheets Vapi.ai (add Bearer token) Google Gemini Replace the placeholder values in: Assistant ID Phone number ID Google Sheet ID and tab Start the workflow and add a row to the Google Sheet. Wait for the automated call and let the AI extract and populate the data. Customising this workflow Replace Google Gemini with OpenAI or Claude if preferred. Add sentiment analysis on the transcript using an LLM. Modify the Sheet column structure to add additional fields. Add a filter node to skip candidates with incomplete phone numbers. Use a Webhook trigger instead of Google Sheets to integrate with job portals or ATS.

This workflow demonstrates a simple way to run evals on a set of test cases stored in a Google Sheet. The example we are using comes from an info extraction task dataset, where we tested 6 different LLMs on 18 different test cases. You can see our sample data in this spreadsheet here to get started. Once you have this working for our dataset, you can plug in your own test cases matching different LLMs to see how it works with your own data. How it works: It loads test cases from Google Sheets. For each row in our Google Sheet, it grabs the source document, converting it to text. Our "LLM judge" passes the input/output of each LLM to GPT-4.1 to evaluate each test case (Pass/Fail + Reason). It logs the outcome to a Google Sheet. A 0.5s pause between each request gets around OpenAI's API rate limits. Set up steps: Add your credentials for Google Sheets, Google Drive, and OpenRouter. Make a copy of the original data spreadsheet so that you can edit it yourself. You will need to plug your version in the Update Results node to see the spreadsheet update on each run of the loop.

Automate LinkedIn engagement without sounding like a bot. This workflow: 🌍 Detects language & tone (German / English) 👍 Chooses the right reaction (like / celebrate / support …) 🗣 Generates a personalised comment in your voice and mentions the author 📲 Optional Telegram review – approve ✅ or regenerate ❌ before posting 💸 Runs on cost-efficient GPT-4o mini or Claude 3.5 Haiku ☁️ Publishes comment + reaction via the Unipile API Setup (≈ 15-30 min) Unipile – connect LinkedIn → copy account_id, dsn, then create an Access-Token (X-API-KEY). Telegram (optional) – create a bot, add a credential named YOUR TELEGRAM ACCOUNT. OpenAI / Anthropic – add your API key and keep one LLM node (delete the other). Open the “Defining guardrails” node and replace the credential placeholders. (Optional) Tweak role, comment_length and openers_example_1-3 for your brand voice. Security: no live keys included – all secrets are placeholders. Best for: solopreneurs, marketing teams, personal-branding consultants.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 🎯 How it works This workflow captures new lead information from a web form, enriches it with Apollo.io data, qualifies the lead using AI, and—if the lead is strong—automatically sends a personalized outreach email via Gmail and logs the result in Google Sheets. 🛠️ Key Features 📩 Lead form capture with validation 🔍 Enrichment via Apollo API 🤖 Lead scoring using AI (LangChain + Groq) 📧 Dynamic email generation & sending via Gmail 📊 Logging leads with job title & org into Google Sheets ✅ Conditional email sending (score ≥ 6 only) 🧪 Set up steps Estimated time: 15–20 minutes Add your Apollo API Key to the HTTP Header credential (never hardcode!) Connect your Gmail account for sending emails Connect your Google Sheets account and set up the correct spreadsheet & sheet name Enable LangChain/Groq credentials for lead scoring and AI-generated emails Update the form endpoint to your live webhook if needed 📌 Sticky Notes Add the following mandatory sticky notes inside your workflow: FormTrigger Node: "Collects lead info via form. Ensure your form is connected to this endpoint." HTTP Request Node: "Enrich lead using Apollo.io API. Add your API key via header-based authentication." AI Agent (Lead Score): "Scores lead from 1-10 based on job title and industry match. Only leads with score ≥ 6 proceed." AI Agent (Email Composer): "Generates a concise, polite email using lead’s job title & company. Modify tone if needed." Google Sheets Append: "Logs enriched lead with job title, org, and LinkedIn URL. Customize sheet structure if needed." Gmail Node: "Sends personalized outreach email if lead passes score threshold. Uses AI-generated content." 💸 Free or Paid? Free – No paid API services are required (Apollo has a free tier).

How the sequence works: A "Schedule Trigger" node activates the automation at a defined schedule. An "Airtable" node will search for previously posted questions in your question database. Airtable Base Template: here An "Aggregate" node will take all the questions from Airtable and compress them to a single output. ChatGPT, or a model of your choice, will generate a discussion question based on the options in the system prompt. The discussion question will be posted to the subreddit of your choice by the "Reddit" node. You can choose between a text, image, or link post! The recently-posted discussion question will then be uploaded to your Airtable base using the "Airtable" node. This will be used to prevent ChatGPT from creating duplicate questions. Setup Steps The setup process will take about 5 minutes. An Airtable base template is also pre-made for you here: https://airtable.com/app6wzQqegKIJOiOg/shrzy7L9yv8BFRQdY Set the recurrence in the "Schedule" node Create an Airtable account, you can use the link here. Get an Airtable personal access token here. Configure the "Get Previous Discussions" Airtable node. Configure the options in brackets in the "Generate New Discussion" node. Set the desired subreddit to post to and the post type(text, image, or link) in the "Post Discussion" node. Configure the "Create Archived Discussion" node to map to the Airtable base(required) and specific subreddit(optional).

This n8n workflow demonstrates how to create a really simple yet effective customer support channel and pipeline by combining Slack, Linear and AI tools. Built on n8n's ability to integrate anything, this workflow is intended for small support teams who want to maximise re-use of the tools they already have with an interface which is doesn't require any onboarding. Read the blog post here: https://blog.n8n.io/automated-customer-support-tickets-with-n8n-slack-linear-and-ai/ How it works The workflow is connected to a slack channel setup with the customer to capture support issues. Only messages which are tagged with a "✅" reaction are captured by the workflow. Messages are tagged by the support team in the channel. Each captured support issue is sent to the AI model to classify, prioritise and rewrite into a support ticket. The generated support ticket is uploaded to Linear for the support team to investigate and track. Support team is able to report back to the user via the channel when issue is fixed. Requirements Slack channel to be monitored Linear account and project Customising this workflow Don't have Linear? This workflow can work just as well with traditional ticketing systems like JIRA.

📄 What this workflow does This workflow turns TikTok videos into high-quality marketing insights and social-ready posts using Dumpling AI and GPT-4. It takes a TikTok URL, keyword, and product name, then automatically extracts the video transcript, analyzes the content for key marketing insights (pain points, outcomes, triggers), and rewrites it as a social media post that positions your product as the solution. Everything is logged to Google Sheets for use by your content or product team. 👤 Who is this for Product marketers doing UGC research Copywriters repurposing TikTok into content Founders or VAs turning viral clips into assets Agencies building research-based social proof ⚙️ How to set up ✅ Requirements Dumpling AI**: For TikTok transcript extraction OpenAI GPT-4 or GPT-4o-mini**: For analysis and rewriting Google Sheets**: To log the results n8n Form Trigger**: To input TikTok URL, Keyword, and Product 🔧 Setup Instructions Google Sheets Create a sheet with the following columns: Video URL, Original Transcription, Pain points, Desired outcomes, Triggers or motivating events, Interesting direct quotes, New Script Update the sheet ID and tab in the Google Sheets node Credentials Add your Dumpling AI key using HTTP Header Auth Use GPT-4 via OpenAI credentials Connect your Google Sheets using OAuth2 Customization (Optional) You can modify the GPT-4 prompts in the LangChain nodes to change tone, output structure, or content depth 🧠 How it works A form is submitted with a TikTok URL, keyword, and product Dumpling AI fetches and returns the TikTok transcript The VTT format is cleaned into plain text GPT-4 (via LangChain agent) extracts: Pain points Desired outcomes Motivating events Direct quotes GPT-4 then rewrites the transcript into a compelling marketing post Results are saved to Google Sheets for further use 🛠️ Customization ideas Push insights to Notion or Airtable instead of Sheets Use Claude or Gemini instead of GPT-4 Automatically generate image prompts to pair with the rewritten script Add notification email or Slack post when draft is ready This workflow gives marketers and founders a fast way to convert real social content into reusable copy, backed by authentic user voice and GPT-powered insights.

How it works: This workflow automates the entire LinkedIn content distribution process — from AI-powered post creation to auto-posting on both personal LinkedIn profiles and LinkedIn groups, using GPT-4o and Google Sheets as the content source and control panel. Auto-generates professional LinkedIn posts from spreadsheet topics using GPT-4o. Posts to your LinkedIn profile and multiple groups. Updates status to avoid duplicate posting. Fully customizable and reusable with your spreadsheet. Set up Steps Create and Upload the Spreadsheet Name it: Linkedin Post Sheet1 (for post topics): Columns: ID | Linkedin Post Title | Status Add post titles under Linkedin Post Title Set Status to Pending Create new sheet name as "Groups" (for group distribution): Column: GroupIds Add LinkedIn Group IDs, one per row Connect Google Sheets Nodes Connect your Google account to these nodes: Linkedin Post topic (Reads post topics) Get group id (Reads LinkedIn groups) Update Status (Writes back the status after posting) Configure GPT-4o (OpenAI) Add your OpenAI API key in the Linkedin Post creator node This node will generate high-quality content from your topic titles Connect LinkedIn Account Add your LinkedIn credentials in the Linkedin user detail node Ensure appropriate permissions to post on profile and groups Activate the Workflow : Once live, the workflow will: Monitor the Google Sheet for Pending posts. Generate content via GPT-4o. Post to: Your LinkedIn Profile Each LinkedIn Group listed in the Groups sheet Update the post Status to Posted Customization Tips Want to personalize this template? Change AI tone or style in the OpenAI node prompt Add a scheduler node if you'd like to post at fixed intervals Use a Slack or Telegram approval step before posting Integrate analytics tools to track post performance Suggested Sticky Notes for Workflow | Node or Section | Sticky Note Content | | ---------------------- | --------------------------------------------------------------------------- | | Linkedin Post topic | Reads the topic titles and statuses from Sheet1 | | OpenAI (GPT-4o) | Generates content using topic title — you can modify the tone/prompt here | | Linkedin user detail | Your personal LinkedIn credentials — required to post | | Group loop | Iterates through LinkedIn Group IDs and posts the content | | Update Status | Updates spreadsheet so the topic isn't re-posted |