Block 1 - When clicking ‘Execute workflow’
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
Scrape LinkedIn comments and score lead intent using ConnectSafely, Azure OpenAI, and Google Sheets
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1. Workflow Overview
Description Automate LinkedIn lead discovery by identifying high intent prospects directly from post comments using ConnectSafely and AI . This workflow searches LinkedIn posts related to comm...
Best for
- Lead Generation automation workflows
- AI Summarization automation workflows
- advanced n8n builders looking for reusable templates
Tools used
n8n-nodes-base.manualtrigger, n8n-nodes-base.stickynote, n8n-nodes-serpapi.serpapi, n8n-nodes-connectsafely-ai.connectsafelylinkedin, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatazureopenai, n8n-nodes-base.googlesheets
Source and attribution
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rahul Joshi.
Original n8n.io source1.1 Workflow description
- Title
- Scrape LinkedIn comments and score lead intent using ConnectSafely, Azure OpenAI, and Google Sheets
- Workflow name
- Scrape LinkedIn comments and score lead intent using ConnectSafely, Azure OpenAI, and Google Sheets
📊 Description
Automate LinkedIn lead discovery by identifying high-intent prospects directly from post comments using ConnectSafely and AI 🤖. This workflow searches LinkedIn posts related to common sales pain points, extracts all comments safely, and evaluates each commenter’s buying intent using AI. The scored leads are automatically stored in Google Sheets for easy follow-up and prioritization 📈. Perfect for sales, growth, and RevOps teams looking to turn conversations into qualified opportunities.
🔍 What This Template Does
🔎 Searches LinkedIn posts via SerpAPI using predefined pain-point keywords 🔗 Filters and validates relevant LinkedIn post URLs 🛡️ Fetches all post comments using ConnectSafely (safe, compliant LinkedIn access) 📄 Flattens comments into individual lead records 🤖 Uses AI to analyze each comment and score buying intent (0–100) 📊 Saves enriched lead data into Google Sheets automatically
✅ Key Benefits
✅ Discover warm LinkedIn leads from real conversations ✅ Uses ConnectSafely for reliable and compliant comment extraction ✅ AI-powered intent scoring removes manual lead qualification ✅ Automatically prioritizes high-intent prospects ✅ Centralized lead tracking in Google Sheets ✅ Zero manual scraping or copy-pasting
⚙️ Features
- LinkedIn post discovery via SerpAPI
- Comment scraping powered by ConnectSafely
- AI intent detection using Azure OpenAI (GPT-4o-mini)
- Intent labels: No-Intent → High-Intent
- Google Sheets integration for lead storage
- Modular, customizable n8n workflow
🔐 Requirements
- SerpAPI account
- ConnectSafely LinkedIn API credentials
- Azure OpenAI account (GPT-4o-mini deployment)
- Google Sheets OAuth credentials
- n8n instance (self-hosted or cloud)
🎯 Target Audience
- B2B sales teams & SDRs
- Growth marketers & lead generation agencies
- RevOps & automation specialists
- Founders using LinkedIn for outbound prospecting
1.2 Logical Blocks
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
2. Block-by-Block Analysis
Block 2 - Main Overview
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 3 - Section: Search & Scrape
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 4 - Section: Comment Processing
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 5 - Section: AI Intent Scoring
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 6 - Warning: SerpAPI
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 7 - Warning: ConnectSafely
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 8 - Warning: Azure OpenAI
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 9 - Search LinkedIn Posts via SerpAPI
- Type / Role
- n8n-nodes-serpapi.serpApi - serpApi
- Config choices
- Version 1
Block 10 - Fetch Post Comments via ConnectSafely
- Type / Role
- n8n-nodes-connectsafely-ai.connectSafelyLinkedIn - connectSafelyLinkedIn
- Config choices
- Version 1
Block 11 - Parse & Filter Search Results
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 12 - AI Intent Detection Agent
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 3
Block 13 - Azure OpenAI GPT-4o-mini
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatAzureOpenAi - lmChatAzureOpenAi
- Config choices
- Version 1
Block 14 - Flatten Comments into Rows
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 15 - Parse AI Intent Output
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 16 - Save Leads to Google Sheet
- Type / Role
- n8n-nodes-base.googleSheets - googleSheets
- Config choices
- Version 4.7
3. Summary Table
| Workflow | Scrape LinkedIn comments and score lead intent using ConnectSafely, Azure OpenAI, and Google Sheets |
|---|---|
| Complexity | advanced |
| Nodes | 16 |
| Categories | Lead Generation, AI Summarization |
| Author | Rahul Joshi |
| Published | 03 Feb 2026 |
4. Reproducing the Workflow from Scratch
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1. Download the workflow JSON
Use the JSON export at /data/workflows/13185/13185.json as the source template for this automation.
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2. Import the template into n8n
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
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3. Configure credentials and variables
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
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4. Test with sample data
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
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5. Activate and monitor
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
5. General Notes & Resources
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Frequently asked questions
What does Scrape LinkedIn comments and score lead intent using ConnectSafely, Azure OpenAI, and Google Sheets do?
Description Automate LinkedIn lead discovery by identifying high intent prospects directly from post comments using ConnectSafely and AI . This workflow searches LinkedIn posts related to comm...
What do I need before importing this workflow?
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Can I customize this workflow?
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Generation, AI Summarization use case.