What can you do with Scrapezy?
extract_structured_data- Extract structured data from a website
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
@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 website- Takes 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:
npx -y @smithery/cli install @Scrapezy/mcp --client claude
Manual Installation
npm install -g @scrapezy/mcp
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/mcp - Command-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
{
"mcpServers": {
"scrapezy": {
"command": "npx @scrapezy/mcp --api-key=your_api_key"
}
}
}
Example Usage in Claude
You can use this tool in Claude with prompts like:
Please extract product information from this page: https://example.com/product
Extract the product name, price, description, and available colors.
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:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
License
MIT
Frequently asked questions
What is Scrapezy?
Turn websites into datasets with Scrapezy
How do I install Scrapezy?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is Scrapezy open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains Scrapezy?
It is published by scrapezy. AI.tn lists it but does not maintain or endorse it.
From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.