Enables AI models to extract structured data from websites using the Model Context Protocol.
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Scrapezy is a Model Context Protocol (MCP) server designed to work with AI models like those from Claude, allowing them to extract structured data from websites. It offers a streamlined way to fetch and process information based on specific prompts, making it an invaluable tool for automating data extraction tasks. The server is easily installable via Smithery or manually through npm, and integrates seamlessly with Claude Desktop by configuring the server within the application's configuration file. With Scrapezy, users can leverage the power of AI to gather data efficiently from web sources, simplifying workflows and enhancing productivity.
Key Features
01Extracts structured data from websites based on prompts.
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03Integrates with Claude Desktop for AI-powered data extraction.
04Provides API key authentication via environment variable or command-line argument.
05Offers both Smithery and manual installation options.
06Includes a debugging tool (MCP Inspector) to aid in troubleshooting.
Use Cases
01Extracting product information (name, price, description) from e-commerce sites.
02Gathering data for market research and competitive analysis.
03Populating databases with structured information from various websites.
