The Scrapezy MCP Server enables AI models to extract structured data from websites by providing a URL and a customizable prompt. With this server, you can:
Extract structured data from web pages (like product names, prices, descriptions)
Specify exactly what data to extract through clear, detailed prompts
Integrate with Claude Desktop and other AI models via the Model Context Protocol
Use the MCP Inspector for debugging communication between the server and AI models
@scrapezy/mcp MCP Server
A Model Context Protocol server for Scrapezy that enables AI models to extract structured data from websites.
Features
Tools
extract_structured_data- Extract structured data from a websiteTakes URL and prompt as required parameters
Returns structured data extracted from the website based on the prompt
The prompt should clearly describe what data to extract from the website
Installation
Installing via Smithery
To install Scrapezy MCP Server for Claude Desktop automatically via Smithery:
Manual Installation
Usage
API Key Setup
There are two ways to provide your Scrapezy API key:
Environment Variable:
export SCRAPEZY_API_KEY=your_api_key npx @scrapezy/mcpCommand-line Argument:
npx @scrapezy/mcp --api-key=your_api_key
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Example Usage in Claude
You can use this tool in Claude with prompts like:
Claude will use the MCP server to extract the requested structured data from the website.
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
The Inspector will provide a URL to access debugging tools in your browser.
License
MIT