webclaw
A fast, local-first web scraper and content extractor optimized for AI agents, with CLI, REST API, and MCP server.
What is webclaw?
webclaw is a high-performance web content extraction tool designed specifically for AI agents and LLMs. It scrapes, crawls, and extracts structured data from websites with sub-millisecond speed, producing clean, token-efficient output while avoiding bot detection through Chrome-level TLS fingerprinting.
Developers building AI agents and LLM applications that require real-time web access, such as those using Claude, Cursor, or other MCP-compatible clients. It is also suitable for researchers, data engineers, and anyone needing efficient, local web scraping for tasks like price monitoring or training data collection.
Developers choose webclaw for its combination of extreme speed, local-first operation, and native integration with AI agent ecosystems via MCP. Its unique selling points include sub-millisecond extraction without browser overhead, a 67% reduction in token usage compared to raw HTML, and the ability to bypass bot protections through TLS fingerprinting.
Overview
Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST API, and MCP server.
Use Cases
Best For
- Integrating real-time web access into AI agents like Claude or Cursor via the Model Context Protocol (MCP).
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