webclaw is a web scraping API that turns any URL into clean, LLM-ready markdown or JSON, with 90% fewer tokens than raw HTML. A drop-in Firecrawl replacement.
Sign in and it runs for real — 3 free runs a day, no card. The hosted API is a paid plan from $19/mo; the open-source core is free to self-host.
Every option, full output, run history — open the full playground
Production-ready on real-world sites like these
Webclaw is a Firecrawl alternative with a drop-in /v2 route and an open-source Rust core: swap one base URL, keep every call you already wrote, and ship product instead of scraping infra.
Any of these 11 endpoints, in curl, TypeScript, Python, or Go — with the response it actually returns, rendered or raw. One API key, one credit pool, billed by what you use.
Scrape. Turn any URL into clean, LLM-ready content with one call. Docs
Crawl. Point it at one URL and get clean markdown for every page on the site. Docs
Search. Run a query, get structured results, and scrape every page in the same call. Docs
Extract. Point an LLM at any URL and get back the exact JSON shape you asked for. Docs
Map. Discover every page URL for a domain before you crawl or extract. Docs
Batch. Send a list of URLs, get back clean content for every page in a single request. Docs
Summarize. Collapse any page into a tight summary with a single call. Docs
Research. Send one question, get back a cited report your LLM can actually use. Docs
Brand. Pull a site's colors, fonts, logo, and favicon with one call. Docs
Diff. Compare a page against an earlier snapshot and get a clean diff of what moved. Docs
Lead. Turn any company URL into an outreach-ready lead — founders and leadership with their LinkedIn and X. Docs
Six ways teams turn a URL into structured data — each one a single API call or MCP tool.


Watch product pages across retailers. A product sells out, comes back in stock — you get the alert first.
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Catch fare and room drops across booking sites — structured offers extracted on schedule, alerts on change.
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Turn a company URL into an outreach-ready lead — founders with their LinkedIn and X, as clean JSON.
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Give any MCP agent live eyes on the web. Fourteen web tools over one stdio install.
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Feed your vector database fresh, clean web content — around 90% fewer tokens than raw HTML.
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Ask a question, get a synthesized answer with citations. Multi-hop, fully automated.
Read moreOne credit pool covers every endpoint. Start in minutes, or self-host the open-source stack with no limits.
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Webclaw is a web extraction toolkit that turns any website into clean, structured data. Output formats include Markdown, JSON, HTML, plain text, and an LLM-optimized mode that strips noise and cuts token count by around 90% vs raw HTML.
Webclaw uses HTTP with TLS fingerprint impersonation instead of spinning up a headless browser. Sub-200ms response times, zero browser overhead, no Selenium or Playwright dependency. Content extraction runs via readability scoring plus a 9-step pipeline, no browser needed for most pages.
The open-source version (AGPL-3.0) runs locally on your own hardware with no limits, so you can try the full engine for free without a card. The managed API is paid, starting at $19/mo for Starter, and you can cancel any time from the billing portal.
Yes. Webclaw is open source under AGPL-3.0. You can run the CLI, REST API server, or MCP server on your own infrastructure. Docker images and one-line deploy scripts are available.
Six formats: Markdown (clean readable text), JSON (structured with metadata), HTML (sanitized), plain text, LLM-optimized (stripped of noise for AI consumption), and raw HTML. The LLM format runs a 9-step optimization pipeline to minimize token usage.
Webclaw ships a Model Context Protocol server that exposes 14 tools: scrape, search, crawl, map, batch, extract, summarize, diff, brand, research, lead, lead_batch, list_extractors, and vertical_scrape. Works with any MCP client (Claude Desktop, Claude Code, Cursor, Windsurf, Codex, Antigravity) over stdio.
Your extracted content is never stored or logged on our servers. Requests are processed in real-time and the response is returned directly to you. If you use LLM features, content is sent to the AI provider for processing but is not retained. For full control, self-host the entire stack.
Webclaw can use language models to extract structured JSON from pages using a schema you define, answer questions about page content with prompt-based extraction, or generate summaries. It chains through local Ollama first, then falls back to cloud providers.
Cancel anytime. Migrate from Firecrawl in 60 seconds with the compatibility layer.