Extract and analyze LinkedIn data with Gemini
Workflow Description
Automation that retrieves content from LinkedIn via server, analyzes it using Google Gemini to extract key insights, and saves results to files for later review and sharing.
How it works
- 1.Manual trigger starts the workflow
- 2.Send HTTP request to extract LinkedIn data
- 3.Process and normalize extracted data
- 4.Send content to Google Gemini for analysis and summarization
- 5.Save results and insights to files
- 6.Post summary to X/Twitter (optional)
Use cases
- Collect and analyze LinkedIn posts, profiles, and engagement metrics
- Extract actionable insights from LinkedIn content and share them on X
Requirements
- Access to a server supporting web scraping
- Google Gemini API key
- X/Twitter account for optional sharing
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (20)
When clicking ‘Test workflow’
Manual Trigger
Sticky Note1
Sticky Note
Set the URLs
Set
Bright Data MCP Client For LinkedIn Person
Mcp Client
Sticky Note
Sticky Note
List all tools for Bright Data
Mcp Client
Bright Data MCP Client For LinkedIn Company
Mcp Client
Set the LinkedIn Company URL
Set
Webhook for LinkedIn Company Web Scraper
HTTP Request
LinkedIn Data Extractor
Information Extractor
Google Gemini Chat Model
Gemini Model
List all available tools for Bright Data
Mcp Client
Code
Code
Merge
Merge
Aggregate
Aggregate
Create a binary data for LinkedIn person info extract
Function
Write the LinkedIn person info to disk
Read Write File
Create a binary data for LinkedIn company info extract
Function
Write the LinkedIn company info to disk
Read Write File
Webhook for LinkedIn Person Web Scraper
HTTP Request