ANY WEBSITE, READY FOR AI There's a repo on GitHub that turns any site into clean text your AI can read. It's called Firecrawl. You give it 1 URL and get markdown, a screenshot or structured JSON. "Crawl" pulls an entire site, "Map" lists every URL on it. "Agent" takes a plain request and finds the data with 0 URLs from you. Its own benchmarks say it handles 96% of the web, JS-heavy pages included. You need an API key, or you self-host it with Docker. It plugs into Claude Code as a skill. 190k stars on GitHub
Firecrawl on X
The biggest thread is the output: people praise clean markdown and structured JSON an agent can read, while the free US government records index draws the questions and wishes. Complaints centre on hard sites that fail or refuse to crawl, and on cost as you scale.
First written 27 Oct · what changed · from 151 posts by 137 people
Tracking posts that say “firecrawl”
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as of 27 Oct · checked once a monthFirst written 27 Oct. When what people say changes, it shows here.
Tone· 70 posts from 65 people· written 27 Oct
How do people feel about Firecrawl?
The largest theme is the output itself: 29 people praise clean markdown or structured JSON an agent can read, ahead of 26 who cheer without naming anything specific. Smaller groups like the free US government and legal index, credit people and company data, or are still testing.
Output is reception's biggest theme: 29 of 65 people praise turning a URL, a whole site or a PDF into markdown or structured JSON an agent can read, with JS-heavy pages handled and a choice of hosted API or self-hosting. They name specifics — PDFs parsed without OCR through pdf-inspector and anydoc, Claude Code and MCP setups, a three-way sitemap diff for SEO work, "scrape, crawl, map and extract".
26 people cheer with no claim attached: "crushing it", "so clutch", support that answers an email, a free plan one user calls generous. With no detail they say less about what works.
Behind those, 5 people credit the free index of 30M+ US statutes, court opinions, zoning and permit codes callable from ChatGPT or Claude. 2 credit people and company data — enrichment an agent would not otherwise reach, 146 startups sorted in 2.2 seconds. 4 are testing it or about to, with no verdict yet.
- Clean agent-ready output is the draw33
- Positive about it26
- Free government and legal records index5
- Intrigued and about to try it4
- People and company data is a draw2
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If you build AI apps that need web data, Firecrawl is the tool I'd reach for. Just works. 🛠️ Scrape, crawl, extract structured data in one call 🌐 5 billion+ requests served, used by Apple and Shopify 📊 93% fewer tokens by stripping navs, footers, ads link
firecrawl is cooking so hard on capy im so bullish
i think firecrawl is under appreciated. just a great set of services.
firecrawl just put 30M+ pages of US law, statutes, court opinions, city zoning and permit codes, behind one search you can call from chatgpt or claude, free. the municipal permit stuff was always buried in garbage pdfs, nice work team
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Pain points· 23 posts from 21 people· written 27 Oct
What do people complain about with Firecrawl?
The complaints start with hard sites: 6 people report failures or refusals on heavy-JS pages, YouTube and anti-bot walls. Cost is next at 4, then scattered worries about security and compliance, people data, install noise and latency.
Failure reports concentrate on sites that fight back: 6 people describe breakage or refusals on heavy-JS pages, YouTube, protected targets, or sites Firecrawl declines to crawl — one says it refused OpenAI's docs. One benchmark of four scraping APIs over 800 requests against DataDome, Cloudflare and Akamai put Firecrawl at 66.67% success, against 99.33% for Jina and 100% for ZenRows.
Cost is next, at 4 people: pricier than rivals, expensive as you scale, an API price that "doesn't make sense" for one-off searches. The free tier is described as 1,000 credits, and academic credits as meant for education, not startups.
3 people raise security and compliance — a disclosed vulnerability reported under attack, credits lost to leaked keys, a trust-center SOC-2 report over a year old. 2 say people data disappointed or worries them (a lead list that returned nobody, no clear opt-out), 2 flag install noise such as a CLI dropping skill files into the home folder, and 2 flag latency, including a 3.4s P95.
- Fails on hard or blocked sites6
- Expensive as you scale4
- Security and compliance worries3
- People data disappoints or worries2
- Install and app annoyances2
- Slow compared with instant answers2
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A new benchmark of 4 web scraping APIs across 800 requests against DataDome, Cloudflare, and Akamai shows: * ZenRows leading with 100% success (avg 5,215ms) * Jina at 99.33% (avg 1,257ms) * Firecrawl at 66.67% * CrawlForge at 0.00% on protected targets.
tried firecrawl, still broke on a couple sites with heavy js. havent tried scrapling yet, whats it doing differently on layout changes?
I guess depends on your usage, firecrawl isn't cheap either. If you're doing 1 off searches yes, the API pricing doesn't make sense. If for example you wanted to constantly monitor odds for edges, line movement, etc..
can someone from @firecrawl reach out please; your SOC-2 report on the trust center is over a year old...
Through the hacks I have lost 20 usd in @ollama 6000 tokens in @firecrawl, 20 usd in @googlecloud and more. One opening - too many wounds. Make sure to reset all your keys and to store them safely and not to open-share them in any chat.
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Alternatives· 25 posts from 24 people· written 27 Oct
What are the alternatives to Firecrawl?
No rival is named by a majority. Grass is the most-named comparison at 4 people, Jina Reader next at 3, and Exa, Parallel, Tavily and SearXNG are level at 2 each. Several people name what they switched to after one failure.
Grass is the most-named comparison, by 4 people, and the case against Firecrawl is largely one vendor's own benchmark: across 100 sites it retrieved 97% of URLs against 84% for Firecrawl, with median latency of 2.08s, faster than Firecrawl and Parallel but behind Exa.
Jina Reader, at 3, is not always a substitute: people use "Firecrawl or Jina" for the same extraction step, and one asks how each handles tables, code blocks and heavy-JS sites.
Exa, Parallel, Tavily and SearXNG are level at 2 each: one explains how to switch from Exa, one keeps Tavily and finds Firecrawl among the best, one plugs Firecrawl, Exa, Jina and Parallel in together, one dropped SearXNG because an agent could search through Firecrawl.
The rest are one person each: Spider (cheaper, crawls sites Firecrawl refused), Tinyfish (free, and judged better for reading sites), Armada (after an empty lead list), Crawl4AI (weighed on cost and hosting), Expand and Scrapling to try, plus web search built into a model.
- Grass4
- Jina Reader3
- Exa2
- Parallel2
- Tavily2
- SearXNG2
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. @grass says its new Contents API retrieved 98% of pages on hard-to-access sites vs 71% for the next best provider. It gives AI agents clean, model-ready page content from public URLs and runs on bandwidth from the Grass Network: ▪️ Across the full benchmark (100 sites, tested Oct 1), it retrieved 97% of URLs vs 84% for Firecrawl, the next best ▪️ Median latency on the 50 URLs every provider could retrieve was 2.08s, faster than Firecrawl and Parallel but behind Exa Imho Grass moving into live web access for AI agents is exciting, and the Contents API could become a meaningful new revenue source for $GRASS if demand follows.
you could be running ONE research loop on your computer every night while you sleep... and wake up with better competitive intelligence than a $15k agency the exact stack running locally on my mac right now: 1. scrapers: background Apify actors run at 2am - pulls top 50 viral posts in my niche from X and TikTok - pulls the newest ads launched in Meta Ad Library - scrapes Reddit threads where buyers complain about competitor tools 2. extraction: pipe raw data straight to disk - Firecrawl or Jina turns the URLs into clean markdown - no bloated databases or SaaS dashboards, just local files on my machine 3. synthesis: Claude Code running in the terminal - analyzes the hooks, angles, and exact phrases buyers used - flags fatigue: angles everyone is repeating that stopped working - spots the gaps: questions buyers asked that nobody is answering 4. output: updates my local brief before i wake up - 3 fresh content angles backed by real view counts - 5 competitor weaknesses to attack - zero time wasted doomscrolling for inspiration most people treat AI like a chat window in a browser tab giving an agent terminal access, scrapers, and a local folder on your computer is where the actual money is
simple tip firecrawl account gives you around 1,000 credits—enough to search and scrape over 700 pages. or just use exa, free is still solid choice too
I've been using Tavily API for web search. Gotta try Firecrawl for legal stuff soon..
おー!インストールしてそのまんまで動いてる感じでしょうか? うちのエージェントはFirecrawl渡したらそれ経由で検索エンジン叩いてたので、SearXNGいらんやん、ってなったりしました。
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Questions· 37 posts from 34 people· written 27 Oct
What do people ask about Firecrawl?
The largest group of questions is about fit: 10 of 34 people ask whether it works for their own job. Next is how to use or set it up, at 7, then cost and what the new data covers, level at 4, with Treg comparisons behind at 3.
Fit is the question 10 people ask: a Grok bot or Microsoft workbench integration, work emails and EU B2B lead gen, whether it grabs the wrong entity over MCP, and how it classifies companies that "fit multiple categories" or whose site says only "we empower the future". A few want source links and page locations kept for PDFs, and one asks how freshness and permissions are handled.
Setup is next, at 7: how to use it, what a paying customer gets, whether it is custom or uses the capy API, and whether it auto-connects to an existing Firebase setup.
Cost and coverage are level at 4 each — what it costs, and whether the index reaches company registries, HIPAA and CMS, local city codes, or helps a pro se litigant. Treg draws 3 asking how it compares on price and as open source, and 2 ask why pay at all when Apollo and public sources like NPI are free.
- Will it work for my use case?10
- How do I use it?7
- What does it cost?4
- What does the new data cover?4
- How does it compare to Treg?4
- Why not use Apollo or public data?4
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I was thinking about jev for content moderation, but company classification makes sense too. how do you handle companies that fit multiple categories or don’t have enough information? cause few startups entire website just says ‘we empower the future’ and nothing else.
@grok is there an integration for grokbot with this product
good for eu b2b lead gen?
Nice, what do us paying customers get?
I guess depends on your usage, firecrawl isn't cheap either. If you're doing 1 off searches yes, the API pricing doesn't make sense. If for example you wanted to constantly monitor odds for edges, line movement, etc..
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Wishes· 10 posts· written 27 Oct
What do people want from Firecrawl?
Wishes split along the government index. The most-asked addition is coverage outside the US, at 4 of 10 people — a UK launch above all, plus Brazil accuracy checks and non-US testing. Then come jurisdiction filters and more government records, level at 2 each.
Reaching beyond the US is the biggest wish, at 4 people: one asks "When are you doing UK?" and another says there is a proactive UK community ready, while one proposes checking the index against Brazil's open CNPJ registry and another wants real-world testing outside the US.
Filters are next, at 2: one asks for jurisdiction alongside relevance because an agent "can cite a real permit rule and still answer for the wrong city", another for document status, since proposed and enacted text "can look almost identical in a search result".
2 want more records — city council and county commissioner agendas and minutes, and voting data. One wants the hosted product open sourced rather than paid, and one accelerator asks to offer Firecrawl credits as a startup perk for selected teams.
- Coverage outside the US4
- Filter by jurisdiction and document status2
- More government records2
- Open source it1
- Startup credit perk1
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When are you doing UK?
Please do this for the UK there is a very proactive community here ready to use it
You tested U.S. companies only. For Brazil there's an easy ground truth: the Receita Federal publishes the full CNPJ registry (every company's legal name, status, address, activity code) as open data. Would be great to see the same accuracy check against it.
Jurisdiction and document status would be useful filters alongside relevance: proposed text, enacted text and historical versions can look almost identical in a search result. Returning those labels with the exact quoted passage would make agent answers easier to check.
Jurisdiction should be a required filter for city-code searches in your index. An agent can cite a real permit rule and still answer for the wrong city.
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In their words
How do people talk about Firecrawl?
The phrases people use most, counted once per person.
- 1“open source”5
- 2“clean markdown”3
- 3“structured json”3
- 4“heavy js”3
- 5“js-heavy pages”2
- 6“p95 latency”2
- 7“government pages”2
- 8“city permits”2
- 9“permit stuff”2
- 10“ai can read”2
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Also in Web data for AI
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- Exa—Praise is the largest theme on the page — 20 people, many of them running agents on it — and next comes excitement over the pairing with Pyth's market data (12 people).139 posts / 7d
- Tavily—The largest group of people says Tavily quietly does the search job inside their agents and apps; the argument around it is price, and how it scores and bills next to Exa and DeepSeek's new, far cheaper Search API.138 posts / 7d
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