Scrapezy lets you easily extract structured data and scrape any website for web scraping, content aggregation, and autom
by scrapezy·Updated Apr 13, 2026Fetch and extract information from websites automatically
Example: Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example: Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example: Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Interact with services that don't offer APIs
Example: Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
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We wired Scrapezy into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend Scrapezy for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated Scrapezy against two servers with overlapping tools; this profile had the clearer scope statement.
Useful MCP listing: Scrapezy is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, Scrapezy benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Scrapezy has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Scrapezy reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend Scrapezy for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated Scrapezy against two servers with overlapping tools; this profile had the clearer scope statement.
We wired Scrapezy into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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Claude Desktop configuration
{
"mcpServers": {
"scrapezy": {
"command": "npx",
"args": [
"-y",
"@scrapezy/mcp"
],
"env": {
"SCRAPEZY_API_KEY": "your_api_key"
}
}
}
}Connects to the Scrapezy API to extract specific data from websites using natural language prompts, returning structured information instead of raw HTML.
Scrapezy is an official MCP server published by scrapezy that provides AI assistants with tools and capabilities via the Model Context Protocol. Scrapezy lets you easily extract structured data and scrape any website for web scraping, content aggregation, and autom It is categorized under search web.
You can install Scrapezy in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
A Model Context Protocol server for Scrapezy that enables AI models to extract structured data from websites.
extract_structured_data - Extract structured data from a website
To install Scrapezy MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @Scrapezy/mcp --client claude
npm install -g @scrapezy/mcp
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"
}
}
}
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.
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.
MIT
Time estimate: 20-40 minutes including configuration and testing
Prerequisites
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.