LinkedIn Profile Scraper MCP Server

What is LinkedIn Profile Scraper MCP Server?

This MCP server utilizes the Fresh LinkedIn Profile Data API to fetch LinkedIn profile information. It is designed to expose a single tool, get_profile, which accepts a LinkedIn profile URL and returns the profile data in JSON format.

How to use LinkedIn Profile Scraper MCP Server?

To use the server, clone the repository, install the required dependencies, set up your environment variables with your RapidAPI key, and run the server using the command uv run linkedin.py.

Key features of LinkedIn Profile Scraper MCP Server?

• Fetch Profile Data: Retrieves LinkedIn profile information including skills and other settings.
• Asynchronous HTTP Requests: Utilizes httpx for non-blocking API calls.
• Environment-based Configuration: Reads the RAPIDAPI_KEY from environment variables using dotenv.

Use cases of LinkedIn Profile Scraper MCP Server?

1. Fetching detailed LinkedIn profiles for data analysis.
2. Integrating LinkedIn profile data into applications for user insights.
3. Automating the retrieval of LinkedIn profiles for recruitment purposes.

FAQ from LinkedIn Profile Scraper MCP Server?

• What is required to run the server?

You need Python 3.7+, the MCP framework, and the required libraries installed.

• How do I obtain the RAPIDAPI_KEY?

You can obtain it from RapidAPI and add it to your .env file.

• What happens if the RAPIDAPI_KEY is missing?

The server will raise a ValueError if the key is not set.