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LinkedIn Profile Scraper MCP Server

@codingaslu

リポジトリ

基本情報

カテゴリ

ブラウザ自動化

トランスポート

stdio

作者

codingaslu

LinkedIn Profile Scraper MCP Server について

This MCP server uses the Fresh LinkedIn Profile Data API to fetch LinkedIn profile information. It is implemented as a model context protocol (MCP) server and exposes a single tool, get_profile, which accepts a LinkedIn profile URL and returns the profile data in JSON format.

#linkedin#profile-scraper#data-fetcher

LinkedIn Profile Scraper MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "Linkedin_Mcp_Server": {
      "command": "uv",
      "args": [
        "run",
        "linkedin.py"
      ]
    }
  }
}

LinkedIn Profile Scraper MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is LinkedIn Profile Scraper MCP Server?

It is an MCP server that uses the Fresh LinkedIn Profile Data API to fetch LinkedIn profile information. It exposes 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?

Install dependencies with uv add mcp[cli] httpx requests. Create a .env file with your RAPIDAPI_KEY. Run the server using uv run linkedin.py. Then configure your MCP client to point to the server, specifying the uv command, the project directory, and the script as arguments.

Key features of LinkedIn Profile Scraper MCP Server

  • Fetches LinkedIn profile data via RapidAPI
  • Uses asynchronous HTTP requests (httpx)
  • Environment-based configuration (dotenv)
  • Exposes a single get_profile tool
  • Returns profile data in JSON format

Use cases of LinkedIn Profile Scraper MCP Server

  • Retrieve LinkedIn profile information for data enrichment
  • Automate background checks or candidate screening
  • Integrate profile data into AI-powered workflows
  • Enrich CRM records with external professional details

よくある質問

1

What API does the server use?

It uses the Fresh LinkedIn Profile Data API available through RapidAPI.

2

What are the prerequisites to run the server?

You need Python 3.7+, the MCP framework, installed dependencies (`httpx`, `python-dotenv`, etc.), and a valid `RAPIDAPI_KEY`.

3

How do I obtain an API key?

Obtain an API key from [RapidAPI](https://rapidapi.com/) and add it to a `.env` file or set it in your environment.

4

What happens if the `RAPIDAPI_KEY` is missing?

The server will raise a `ValueError` indicating the key is missing.

5

What occurs if the API request fails?

The `get_profile` tool returns a message indicating that the profile data could not be fetched.

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