Scraper.is MCP Server
The Scraper.is MCP Server enables web scraping through natural language prompts.
Extract Data from Websites: Extract specific content from websites by providing the URL and describing what information you need.
Customizable Output: Control whether results are parsed (like HTML converted to markdown) or left raw.
Multiple Format Support: Retrieve content in various formats including markdown, HTML, and JSON.
Capture Screenshots: Take screenshots of web pages.
Integration with AI: Works with AI assistants supporting the Model Context Protocol (MCP) to process and return scraped content.
Allows scraping and extracting structured data from Amazon's product listings, including filtering by price and star ratings
Enables extracting article titles, authors, and content from TechCrunch's website and specific category pages
Facilitates collection of user reviews from company pages on Trustpilot, with ability to navigate through multiple pages
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Scraper.is MCP
A Model Context Protocol (MCP) integration for Scraper.is - A powerful web scraping tool for AI assistants.
This package allows AI assistants to scrape web content through the MCP protocol, enabling them to access up-to-date information from the web.
Features
🌐 Web Scraping: Extract content from any website
📸 Screenshots: Capture visual representations of web pages
📄 Multiple Formats: Get content in markdown, HTML, or JSON
🔄 Progress Updates: Real-time progress reporting during scraping operations
🔌 MCP Integration: Seamless integration with MCP-compatible AI assistants
Related MCP server: AgentQL MCP Server
Installation
Installing via Smithery
To install scaperis-mcp for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @Ai-Quill/scaperis-mcp --client claudeManual Installation
npm install -g scraperis-mcpOr with yarn:
yarn global add scraperis-mcpPrerequisites
You need a Scraper.is API key to use this package.
Getting Your API Key
Sign up or log in at scraper.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
Usage
Environment Setup
Create a .env file with your Scraper.is API key:
SCRAPERIS_API_KEY=your_api_key_hereClaude Desktop Integration
To use this package with Claude Desktop:
Install the package globally:
npm install -g scraperis-mcpAdd the following configuration to your
claude_desktop_config.jsonfile:{ "mcpServers": { "scraperis_scraper": { "command": "scraperis-mcp", "args": [], "env": { "SCRAPERIS_API_KEY": "your-api-key-here", "DEBUG": "*" } } } }Replace
your-api-key-herewith your actual Scraper.is API key.Restart Claude Desktop to apply the changes.
Running with MCP Inspector
For development and testing, you can use the MCP Inspector:
npx @modelcontextprotocol/inspector scraperis-mcpIntegration with AI Assistants
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:
Scrape Tool
The scrape tool allows the AI to extract content from websites. It supports various formats:
markdown: Returns the content in markdown formathtml: Returns the content in HTML formatscreenshot: Returns a screenshot of the webpagejson: Returns structured data in JSON format
Example prompt for the AI:
Can you scrape the latest news from techcrunch.com and summarize it for me?API Reference
Tools
scrape
Scrapes content from a webpage based on a prompt.
Parameters:
prompt(string): The prompt describing what to scrape, including the URLformat(string): The format to return the content in (markdown,html,screenshot,json,quick)
Example:
{
"prompt": "Get me the top 10 products from producthunt.com",
"format": "markdown"
}Development
Setup
Clone the repository:
git clone https://github.com/Ai-Quill/scraperis-mcp.git cd scraperis-mcpInstall dependencies:
npm installBuild the project:
npm run build
Scripts
npm run build: Build the projectnpm run watch: Watch for changes and rebuildnpm run dev: Run with MCP Inspector for developmentnpm run test: Run testsnpm run lint: Run ESLint
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgements
This server cannot be deployed
Maintenance
Related MCP Connectors
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