webclaw is a high-performance web content extraction tool designed specifically for AI agents and large language models, focusing on delivering clean, structured data instead of raw HTML. It is built in Rust and operates without a headless browser, using advanced techniques such as TLS fingerprinting to bypass common scraping barriers and mimic real browser behavior. The tool addresses a major inefficiency in AI workflows by removing irrelevant elements like navigation menus, ads, and scripts, significantly reducing token usage when feeding data into language models. It supports multiple modes of operation, including CLI usage, REST API access, and an MCP server for direct integration with agent-based systems. Webclaw also provides advanced capabilities such as recursive crawling, structured JSON extraction, summarization, and content comparison, making it suitable for research and data pipelines. Its local-first architecture ensures privacy and eliminates the need for API keys.
Features
- High-performance Rust-based web scraping engine
- LLM-optimized output with reduced token usage
- No headless browser required for extraction
- CLI, REST API, and MCP server integration
- Local-first execution with no external dependencies
- Recursive crawling and structured data extraction