Automate LinkedIn Data Extraction with Bright Data and Google Gemini
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Unlock powerful insights by automating LinkedIn data scraping and leveraging AI for content generation. This workflow combines Bright Data's scraping capabilities with Google Gemini's advanced language processing to extract and synthesize valuable information.
About This Workflow
This n8n workflow provides a robust solution for extracting and processing data from LinkedIn. It utilizes Bright Data's MCP (Master Control Program) Client to scrape both individual person profiles and company profiles with ease. The extracted data, particularly for company profiles, is then fed into Google Gemini's powerful language model to generate narrative content like company stories or blog posts. This integration allows for efficient data collection and intelligent content creation, saving you time and effort in market research and content marketing efforts.
Key Features
- Automated LinkedIn Scraping: Seamlessly extract data from LinkedIn person and company profiles.
- Advanced Data Extraction: Leverage Bright Data's MCP server for reliable and efficient web data extraction.
- AI-Powered Content Generation: Utilize Google Gemini to transform raw data into engaging narratives, summaries, or blog posts.
- Configurable Workflows: Easily set specific LinkedIn URLs for scraping and customize AI prompts for desired output.
- Building Block Integration: Designed as a modular component for integration into larger automation strategies.
How To Use
- Configure Bright Data Credentials: Ensure your Bright Data MCP Client API credentials are set up correctly in n8n.
- Set LinkedIn URLs: Use the 'Set the URLs' and 'Set the LinkedIn Company URL' nodes to define the specific LinkedIn profiles or company pages you wish to scrape.
- Execute Scraping: The 'Bright Data MCP Client For LinkedIn Person' and 'Bright Data MCP Client For LinkedIn Company' nodes will fetch the raw data.
- Process and Extract Data: The 'Code' node cleans and parses the scraped data. The 'LinkedIn Data Extractor' node utilizes the 'Google Gemini Chat Model' to process this data and generate content based on your prompts.
- Send Data via Webhook: The 'Webhook for LinkedIn Company Web Scraper' node can be configured to send the generated company story or other relevant data to a specified endpoint.
Apps Used
Workflow JSON
{
"id": "8ac69888-a5b6-45a2-ba1f-9da46dcf7fee",
"name": "Automate LinkedIn Data Extraction with Bright Data and Google Gemini",
"nodes": 11,
"category": "Operations",
"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: 8ac69888-a5b6...
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