LinkedIn Scraper MCP Server

A Model Context Protocol (MCP) server that provides LinkedIn profile scraping capabilities with manual credential input. This server allows you to extract comprehensive profile data including experience, education, skills, and contact information.

Features

• Manual Credential Input: No need for environment variables - provide LinkedIn credentials directly in tool calls

• Comprehensive Data Extraction: Scrapes name, headline, location, about section, experience, education, skills, and contact info

• Multiple Transport Methods: Supports both HTTP (production) and STDIO (development) transports

• Browser Automation: Uses Selenium WebDriver with Chrome for reliable scraping

• Anti-Detection: Includes human-like delays and browser settings to avoid detection

Installation

1. Install dependencies:

2. Install Chrome browser (if not already installed):

   • The server uses Chrome WebDriver which will be automatically managed

   • Ensure Chrome browser is installed on your system

3. Build the project:

Usage

HTTP Transport (Recommended)

Start the server with HTTP transport:

The server will start on http://localhost:8080 by default.

STDIO Transport (Development)

For local development with STDIO transport:

Command Line Options

• --port <PORT>: Specify HTTP server port (default: 8080)

• --stdio: Use STDIO transport instead of HTTP

• --help: Show help message

MCP Client Configuration

Add this to your MCP client configuration:

Available Tools

scrape_linkedin_profile

Scrapes a LinkedIn profile and returns comprehensive profile data.

Parameters:

• url (required): LinkedIn profile URL (e.g., "https://www.linkedin.com/in/username/")

• email (required): LinkedIn account email for authentication

• password (required): LinkedIn account password for authentication

• headless (optional): Run browser in headless mode (default: false)

Example Usage:

Response Format:

Development

Project Structure

Building

Running in Development

Security Considerations

• Credential Handling: LinkedIn credentials are passed directly in tool calls and not stored

• Rate Limiting: The scraper includes human-like delays to avoid being blocked

• Browser Settings: Uses realistic browser settings to minimize detection

• Session Management: Each scraping session is isolated and cleaned up properly

Troubleshooting

Common Issues

1. Chrome Driver Issues: The server automatically manages Chrome WebDriver, but ensure Chrome browser is installed

2. LinkedIn Authentication: If authentication fails:

   • Verify your LinkedIn credentials are correct

   • Check if your account has two-factor authentication enabled

   • Try logging in manually first to resolve any security challenges

3. Scraping Failures: If scraping fails:

   • Try running with headless: false to see what's happening

   • Check if LinkedIn has updated their page structure

   • Ensure stable internet connection

4. Port Conflicts: If port 8080 is in use:

   node dist/index.js --port 3000

Environment Variables

Optional environment variables:

• PORT: HTTP server port (default: 8080)

• NODE_ENV: Set to 'production' for production mode

License

This project is for educational and research purposes. Please respect LinkedIn's Terms of Service and use responsibly.

Contributing

1. Fork the repository

2. Create a feature branch

3. Make your changes

4. Test thoroughly

5. Submit a pull request

Disclaimer

This tool is for educational purposes only. Users are responsible for complying with LinkedIn's Terms of Service and applicable laws. The authors are not responsible for any misuse of this software.