Use this robust n8n workflow to scrape LinkedIn profile and company data via Bright Data, then use the Google Gemini n8n node to summarize and structure the results for comprehensive reporting.
Download this n8n workflow template and start using it instantly.
Extracting large volumes of reliable data from platforms like LinkedIn requires specialized tools to handle rate limits and complex structures. This advanced n8n workflow addresses this by integrating Bright Data's Managed Collector Product (MCP) server for stable scraping.
The n8n workflow is split into two main operational branches: scraping a LinkedIn Person Profile and scraping a LinkedIn Company Profile.
For the Company Profile, the collected raw data is not just saved; it is sent to the Google Gemini n8n node, acting as an Information Extractor. This allows the workflow to instantly transform complex, unstructured JSON data into a clean, narrative company story or blog post, demonstrating the power of combining reliable scraping with generative AI within an n8n automation framework. This is one of the most powerful n8n templates for data intelligence.
This comprehensive n8n workflow begins with the Manual n8n Trigger. The flow immediately splits to prepare inputs for two distinct scraping operations:
d:\LinkedIn-Person.json).d:\LinkedIn-Company.json).To utilize this sophisticated n8n workflow, follow these steps:
webhook_url in the 'Set' n8n nodes to your preferred logging or monitoring endpoint.d:\ path is unsuitable for your environment.This n8n workflow utilizes several key nodes for data handling, scraping, and AI transformation:
Manual Trigger (n8n trigger): The starting point for executing this n8n automation.
Set (n8n node): Used twice to define input parameters, specifically the LinkedIn profile/company URLs and external webhook endpoints.
Bright Data MCP Client (n8n node): The core scraping component. It is configured to use specialized tools (webdatalinkedinpersonprofile and webdatalinkedincompanyprofile) to reliably retrieve data from LinkedIn.
Code (n8n node): Essential for parsing the raw JSON output from the Bright Data node before it is passed to the AI component.
Google Gemini Chat Model (n8n node): Configured as the Language Model provider (models/gemini-2.0-flash-exp). It supplies the generative power for the extraction process.
LinkedIn Data Extractor (n8n node): Utilizes the Gemini model to follow a precise prompt: "Write a complete story..." This ensures the raw data is restructured into a readable format.
Aggregate (n8n node): Combines the disparate data fields, ensuring the final output item contains both the original data fields (like about) and the new AI-generated company_story field, resulting in a perfectly formatted item for the final webhook and file save.
Read/Write File (n8n node): Used to persist the scraped and processed data locally, providing a backup and historical record of the execution of the n8n workflow.
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