LinkedIn Web Scraping with Bright Data and Google Gemini
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Scrape LinkedIn person and company profiles using Bright Data MCP and generate stories with Google Gemini.
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About This Workflow
Overview
This workflow leverages Bright Data's MCP (Managed Cloud Proxy) service to scrape LinkedIn person and company profiles. The scraped data is then processed and enriched using Google Gemini to generate narrative content such as company stories or blog posts. The results can be saved locally or sent to a webhook.
Key Features
- Scrapes LinkedIn person profiles.
- Scrapes LinkedIn company profiles.
- Utilizes Bright Data MCP for scraping.
- Employs Google Gemini for content generation (stories, blog posts).
- Allows saving extracted data locally.
- Supports sending data to a webhook.
How To Use
- Configure Credentials: Set up your Bright Data MCP API credentials and Google Gemini API credentials in n8n.
- Set Environment Variables: Define
WEBHOOK_URLandBASE_URLas environment variables if you plan to use the webhook functionality. - Set URLs: In the 'Set the URLs' and 'Set the LinkedIn Company URL' nodes, ensure the
urlvariable is correctly set to your desired LinkedIn profile or company page URL (or dynamically via environment variables). - Run Workflow: Execute the workflow. The 'When clicking ‘Test workflow’' node will trigger the scraping and processing.
- Review Output: Check the output of the nodes, particularly the files saved locally or the data sent to the webhook.
Apps Used
Workflow JSON
{
"id": "2fb584d9-8908-427d-a5da-56db0c57778e",
"name": "LinkedIn Web Scraping with Bright Data and Google Gemini",
"nodes": 0,
"category": "Web Scraping",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 2fb584d9-8908...
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