Scraper.is MCP

AModel Context Protocol (MCP)integration forScraper.is- A powerful web scraping tool for AI assistants.

To install scaperis-mcp for Claude Desktop automatically viaSmithery:

npx -y @smithery/cli install @Ai-Quill/scaperis-mcp --client claude

You need a Scraper.is API key to use this package.
- Sign up or log in atscraper.is
- Navigate to the API Keys section in your dashboard:https://www.scraper.is/dashboard/apikeys
- Create a new API key or copy your existing key
- Store this key securely as you'll need it to use this package

{ "mcpServers": { "scraperis_scraper": { "command": "scraperis-mcp", "args": [], "env": { "SCRAPERIS_API_KEY": "your-api-key-here", "DEBUG": "*" } } } }

Replaceyour-api-key-herewith your actual Scraper.is API key.

Restart Claude Desktop to apply the changes.

For development and testing, you can use the MCP Inspector:

npx @modelcontextprotocol/inspector scraperis-mcp

This package is designed to be used with AI assistants that support the Model Context Protocol (MCP). When properly configured, the AI assistant can use the following tools:

Thescrapetool allows the AI to extract content from websites. It supports various formats:

- markdown: Returns the content in markdown format
- html: Returns the content in HTML format
- screenshot: Returns a screenshot of the webpage
- json: Returns structured data in JSON format

Can you scrape the latest news from techcrunch.com and summarize it for me?

Scrapes content from a webpage based on a prompt.

- prompt(string): The prompt describing what to scrape, including the URL
- format(string): The format to return the content in (markdown,html,screenshot,json,quick)

{ "prompt": "Get me the top 10 products from producthunt.com", "format": "markdown" }

git clone https://github.com/Ai-Quill/scraperis-mcp.git cd scraperis-mcp

- npm run build: Build the project
- npm run watch: Watch for changes and rebuild
- npm run dev: Run with MCP Inspector for development
- npm run test: Run tests
- npm run lint: Run ESLint

Contributions are welcome! Please feel free to submit a Pull Request.

This project is licensed under the MIT License - see the LICENSE file for details.

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