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Web Scraping with Anthropic’s MCP

Created By
luminati-io8 months ago
Example MCP server and instructions for connecting Anthropic LLMs to external web scraping tools, with real-world examples and Bright Data integration.
Overview

What is Web Scraping with Anthropic’s MCP?

Web Scraping with Anthropic’s MCP is a project that provides an example server and instructions for connecting Anthropic's large language models (LLMs) to external web scraping tools, enabling real-time data extraction from websites.

How to use the project?

To use the project, set up an MCP server by following the provided instructions, and connect it with tools like Claude Desktop or Cursor. You can then send prompts to extract data from web pages.

Key features of the project?

  • Integration with Bright Data for seamless web scraping.
  • Standardized communication protocol for LLMs to interact with external tools.
  • Ability to fetch and extract structured data from web pages.

Use cases of the project?

  1. Extracting product information from e-commerce sites like Amazon.
  2. Gathering real-time data from news websites.
  3. Automating data collection for research purposes.

FAQ from the project?

  • Can I use this with any LLM?
    Yes, the MCP protocol is designed to work with various LLMs that support external tool integration.

  • Is there a cost associated with using Bright Data?
    Bright Data offers a range of pricing plans, including free credits for new users.

  • What programming languages are supported?
    The project primarily uses Python for server implementation, but the MCP protocol can be implemented in other languages as well.

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