fastCRW is a search + scrape API for AI agents. It lets you search the web, scrape pages, crawl sites, map URLs, and return clean markdown, JSON, links, and metadata in one workflow. Itβs open source, Firecrawl-compatible, benchmarked 2.3x faster than Tavily for search and 2.2x faster than Firecrawl for scraping, and runs as a lightweight single binary with 500 free credits to start.
it is super easy to setup and Super easy to deploy and super low Ram usage on server
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Thanks for taking the time to write this up, Rana, really appreciate it. Glad the low-RAM, single-binary deploy is landing for you; running fastCRW as one small binary instead of a multi-service stack is the thing we obsess over, so it's great to hear it holds up on a real server.
You're right about the docs, though, that's our weakest spot today. "Find the config you need with an actual explanation" is exactly the gap. We're reworking the docs around it: a clearer config reference with an example per option, plus short setup videos. Everything ships to docs.fastcrw.com as we go. If you've got a sec, what were you trying to configure when it got fiddly? I'll prioritize fixing that page first.
Thanks again for giving fastCRW a proper run, honest feedback like this is what makes an open-source, Firecrawl-compatible tool actually better. π
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Framer AI AgentsDesign and publish professional sites with AI
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Hey Product Hunt π
I built fastCRW because I kept seeing the same pattern:
AI products look great in demos, then fall apart in production when they need fresh web data.
Teams end up stitching together search, scraping, rendering, crawling, and extraction just to give an agent usable context. fastCRW is my attempt to make that simpler: search + scrape + crawl + map in one API, with clean markdown/JSON output, source URLs, MCP support, and an open-source core.
A big goal was making it easier to ship AI products people can actually trust β not just something that works on the happy path.
A few things that make fastCRW different:
search + scrape in one workflow
Firecrawl-compatible API
open-source core + managed cloud
public benchmarks
500 free credits to try it
Would really love feedback on:
whether the positioning is clear
whether the docs / first-run experience feel smooth
what still feels confusing, weak, or missing
Thanks for checking it out π
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Great job Recep, we are deploying it along with our docker instances, it's very lightweight and easy to deploy. Good Luck on launch :)
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@behram_celen_behramcelen_Β Thanks Behram! Really glad to hear you're running it alongside your Docker instances β that's exactly the kind of setup we optimized for. Lightweight, no bloat, just works. Let me know how it goes in production, always happy to hear feedback! π
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It consumes super less ram only 6mb, I use it on my own raspberry pi for crawling news.
Great product π
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@slmyldz41Β That's awesome Selim! Raspberry Pi is one of my favorite use cases β the 6MB footprint was very intentional. Love that you're using it for news crawling, that's a great fit. Thanks for the support! π
Thanks for taking the time to write this up, Rana, really appreciate it. Glad the low-RAM, single-binary deploy is landing for you; running fastCRW as one small binary instead of a multi-service stack is the thing we obsess over, so it's great to hear it holds up on a real server.
You're right about the docs, though, that's our weakest spot today. "Find the config you need with an actual explanation" is exactly the gap. We're reworking the docs around it: a clearer config reference with an example per option, plus short setup videos. Everything ships to docs.fastcrw.com as we go. If you've got a sec, what were you trying to configure when it got fiddly? I'll prioritize fixing that page first.
Thanks again for giving fastCRW a proper run, honest feedback like this is what makes an open-source, Firecrawl-compatible tool actually better. π