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MCP server · Developer Tools

Scrapezy

Turn websites into datasets with [Scrapezy](https://scrapezy.com)

Unclaimed MIT last commit a year ago devtools
50Fair

Scored 5 days ago · breakdown

About Scrapezy

Scrapezy is an MCP server published by Scrapezy in the Developer Tools category: turn websites into datasets with [Scrapezy](https://scrapezy.com).

The repository has 14 stars and 7 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/Scrapezy/mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (1)

extract_structured_dataExtract structured data from a website

Parameters not published.

Ask AI

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I know everything about Scrapezy. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 7 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

0.1.10.1.1 · 1 Mar 2025Initial Release + README fixes.

README

@scrapezy/mcp MCP Server

smithery badge

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:

  1. Environment Variable:

    export SCRAPEZY_API_KEY=your_api_key
    npx @scrapezy/mcp
    
  2. 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

README fetched from the repository 7 days ago. The original is authoritative.

Questions

About Scrapezy

How do I install Scrapezy?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Scrapezy safe to use with an AI agent?

Its trust score is 50 out of 100 (fair). It passes 4 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Scrapezy still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.