WebSearch

# WebSearch - Advanced Web Search and Content Extraction Tool     A powerful web search and content extraction tool built with Python, leveraging the Firecrawl API for advanced web scraping, searching, and content analysis capabilities. ## 🚀 Features - **Advanced Web Search**: Perform intelligent web searches with customizable parameters - **Content Extraction**: Extract specific information from web pages using natural language prompts - **Web Crawling**: Crawl websites with configurable depth and limits - **Web Scraping**: Scrape web pages with support for various output formats - **MCP Integration**: Built as a Model Context Protocol (MCP) server for seamless integration ## 📋 Prerequisites - Python 3.8 or higher - uv package manager - Firecrawl API key - OpenAI API key (optional, for enhanced features) - Tavily API key (optional, for additional search capabilities) ## 🛠️ Installation 1. Install uv: ```bash # On Windows (using pip) pip install uv # On Unix/MacOS curl -LsSf https://astral.sh/uv/install.sh | sh # Add uv to PATH (Unix/MacOS) export PATH="$HOME/.local/bin:$PATH" # Add uv to PATH (Windows - add to Environment Variables) # Add: %USERPROFILE%\.local\bin ``` 2. Clone the repository: ```bash git clone https://github.com/yourusername/websearch.git cd websearch ``` 3. Create and activate a virtual environment with uv: ```bash # Create virtual environment uv venv # Activate on Windows .\.venv\Scripts\activate.ps1 # Activate on Unix/MacOS source .venv/bin/activate ``` 4. Install dependencies with uv: ```bash # Install from requirements.txt uv sync ``` 5. Set up environment variables: ```bash # Create .env file touch .env # Add your API keys FIRECRAWL_API_KEY=your_firecrawl_api_key OPENAI_API_KEY=your_openai_api_key ``` ## 🎯 Usage ### Setting Up With Claude for Desktop Instead of running the server directly, you can configure Claude for Desktop to access the WebSearch tools: 1. Locate or create your Claude for Desktop configuration file: - Windows: `%env:AppData%\Claude\claude_desktop_config.json` - macOS: `~/Library/Application Support/Claude/claude_desktop_config.json` 2. Add the WebSearch server configuration to the `mcpServers` section: ```json { "mcpServers": { "websearch": { "command": "uv", "args": [ "--directory", "D:\\ABSOLUTE\\PATH\\TO\\WebSearch", "run", "main.py" ] } } } ``` 3. Make sure to replace the directory path with the absolute path to your WebSearch project folder. 4. Save the configuration file and restart Claude for Desktop. 5. Once configured, the WebSearch tools will appear in the tools menu (hammer icon) in Claude for Desktop. ### Available Tools 1. **Search** 2. **Extract Information** 3. **Crawl Websites** 4. **Scrape Content** ## 📚 API Reference ### Search - `query` (str): The search query - Returns: Search results in JSON format ### Extract - `urls` (List[str]): List of URLs to extract information from - `prompt` (str): Instructions for extraction - `enableWebSearch` (bool): Enable supplementary web search - `showSources` (bool): Include source references - Returns: Extracted information in specified format ### Crawl - `url` (str): Starting URL - `maxDepth` (int): Maximum crawl depth - `limit` (int): Maximum pages to crawl - Returns: Crawled content in markdown/HTML format ### Scrape - `url` (str): Target URL - Returns: Scraped content with optional screenshots ## 🔧 Configuration ### Environment Variables The tool requires certain API keys to function. We provide a `.env.example` file that you can use as a template: 1. Copy the example file: ```bash # On Unix/MacOS cp .env.example .env # On Windows copy .env.example .env ``` 2. Edit the `.env` file with your API keys: ```env # OpenAI API key - Required for AI-powered features OPENAI_API_KEY=your_openai_api_key_here # Firecrawl API key - Required for web scraping and searching FIRECRAWL_API_KEY=your_firecrawl_api_key_here ``` ### Getting the API Keys 1. **OpenAI API Key**: - Visit [OpenAI's platform](https://platform.openai.com/) - Sign up or log in - Navigate to API keys section - Create a new secret key 2. **Firecrawl API Key**: - Visit [Firecrawl's website](https://docs.firecrawl.dev/) - Create an account - Navigate to your dashboard - Generate a new API key If everything is configured correctly, you should receive a JSON response with search results. ### Troubleshooting If you encounter errors: 1. Ensure all required API keys are set in your `.env` file 2. Verify the API keys are valid and have not expired 3. Check that the `.env` file is in the root directory of the project 4. Make sure the environment variables are being loaded correctly ## 🤝 Contributing 1. Fork the repository 2. Create your feature branch (`git checkout -b feature/AmazingFeature`) 3. Commit your changes (`git commit -m 'Add some AmazingFeature'`) 4. Push to the branch (`git push origin feature/AmazingFeature`) 5. Open a Pull Request ## 📝 License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. ## 🙏 Acknowledgments - [Firecrawl](https://docs.firecrawl.dev/) for their powerful web scraping API - [OpenAI](https://openai.com/) for AI capabilities - [MCP](https://modelcontextprotocol.io/introduction)The MCP community for the protocol specification ## 📬 Contact José Martín Rodriguez Mortaloni - [@m4s1t425](https://x.com/m4s1t425) - jmrodriguezm13@gmail.com --- Made with ❤️ using Python and Firecrawl