A
pending
Stop Stitching Five Tools Together — fastCRW Does It All
Grounded / Real
Inflated / Uruttu
Original Content
One web-data engine beats stitching five tools together.
fastCRW is an open-source Rust web-data engine for builders who need to turn web pages into inputs for AI systems.
It helps you move web content into agent and data workflows by handling scraping, crawling, mapping, search, and extraction through one toolset.
Key features:
• Five web operations – scrape, crawl, map, search, and extract from the same engine
• Flexible outputs – return Markdown, HTML, links, screenshots, or schema-shaped JSON from a URL
• Bounded crawling – follow a site crawl and collect pages without treating the whole web as one job
• Local or managed deployment – run a local Rust binary or use the managed API, depending on your setup
• Agent-friendly access – use the CLI, Python SDK, Node.js SDK, or MCP server with supported AI coding tools
The engine and MCP server are open-source (AGPL-3.0).
🔗 GitHub: https://github.com/us/crw
⸻
♻️ Share this with your network if you found it useful or insightful.
✉️ If you’re into AI, ML, agents, and building real systems, join my newsletter (it’s free): dankornas.substack.com
fastCRW is an open-source Rust web-data engine for builders who need to turn web pages into inputs for AI systems.
It helps you move web content into agent and data workflows by handling scraping, crawling, mapping, search, and extraction through one toolset.
Key features:
• Five web operations – scrape, crawl, map, search, and extract from the same engine
• Flexible outputs – return Markdown, HTML, links, screenshots, or schema-shaped JSON from a URL
• Bounded crawling – follow a site crawl and collect pages without treating the whole web as one job
• Local or managed deployment – run a local Rust binary or use the managed API, depending on your setup
• Agent-friendly access – use the CLI, Python SDK, Node.js SDK, or MCP server with supported AI coding tools
The engine and MCP server are open-source (AGPL-3.0).
🔗 GitHub: https://github.com/us/crw
⸻
♻️ Share this with your network if you found it useful or insightful.
✉️ If you’re into AI, ML, agents, and building real systems, join my newsletter (it’s free): dankornas.substack.com
Validated Content
Accurate:
- Real open-source project on GitHub (github.com/us/crw), built in Rust
- Core engine + MCP server: AGPL-3.0 license (SDKs are MIT)
- Does offer scrape, crawl, map, search, extract as one toolset
- Outputs match: markdown, HTML, links, screenshots, JSON
- Local binary or managed cloud API — both confirmed
- CLI, Python SDK, Node SDK, MCP server — all confirmed
- Works with Claude Code, Cursor, Windsurf, Cline, Codex, Gemini CLI
- Bounded crawling (sitemap discovery, robots.txt, dedup) — confirmed
- Bonus: it's also a Firecrawl/Tavily-compatible drop-in replacement (not mentioned in post, but true)
Needs caution:
- Young project — ~4 months old, ~300 GitHub stars, not battle-tested
- Performance claims (speed, RAM usage, benchmark scores) vary across the project's own pages and contradict each other — unverified marketing, not independent data
- Post is self-promotional — written by the project's own maintainer
Bottom line: functional claims are true, performance claims are unverified.