Introducing Firecrawl v2.5 - the world's best Web Data API 🏆 We now have the highest quality and most comprehensive Web Data API powered by our new Semantic Index and custom browser stack. See the benchmarks and technical deep dive below 👇

Oct 30, 2025 · 4:00 PM UTC

For maximum data quality, we built our own custom browser stack. We automatically detect how each page is rendered allowing us to extract data at high speeds while maintaining the same quality bar. Our browser fleet converts everything (PDFs, paginated tables, whatever) into clean, agent-ready formats. This allows us to index complete pages, not partial, which is why our quality the highest compared to competitors:
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We've also been building a semantic index for better coverage and speed. Our index already serves 40% of all API calls, enabling us to provide top-of-the-line data fast across most websites. It contains previously captured full page snapshots + embeddings + structural metadata. Users can also now request data “as of now” or “as of last known good copy” enabling them to have access to any (previous or current) state of the web at any moment. Here's how we stack up with coverage:
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We're hard at work building the new programmatic layer for the internet, restructuring the web for AI. Apply here if you want to join us on this journey: firecrawl.dev/careers Also stay tuned, we're open sourcing our benchmarks soon!
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Replying to @firecrawl_dev
Congratulations guys. I've been using Scrape for a while now, but it's time to replace Gemini Search with Firecrawl Search.
Prospects often ask why we aren't using the model providers' built-in search features. I asked the same question to our Sports Partnerships Marketer: "What is Firecrawl v2.5 and Semantic Index? Can you find the announcement and analyze how we can use it for the Blue Jays' marketing?" Gemini with Google Search Grounding couldn't find anything and hallucinated. Firecrawl Search found the most relevant links, created summaries, and, because the main agent has a deeper understanding of the links, it scraped (also using Firecrawl) the first link and generated a very accurate answer.
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Replying to @firecrawl_dev
huge if true 👀👀🐐
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Replying to @firecrawl_dev
This looks awesome. Also, It is coming soon to Google Agent Development Kit 🔥
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Replying to @firecrawl_dev
Super interesting 🔥
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Replying to @firecrawl_dev
Is the benchmark open source/reproducible? Would love to try it out
Replying to @firecrawl_dev
awesome drop guys! cheaper and better quality 👏
Replying to @firecrawl_dev
Big step forward for open data access
Replying to @firecrawl_dev
The best way to give your AI access to web data! 🔥 Congrats on shipping team! 🚀
Replying to @firecrawl_dev
heyo...
Replying to @firecrawl_dev
love to see it!
Replying to @firecrawl_dev
Great job team, Let's go! 🔥
Replying to @firecrawl_dev
@grok come potrei fare una cosa del genere? open source?
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Replying to @firecrawl_dev
🔥🔥🔥🔥
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Replying to @firecrawl_dev
Great job guys 🔥
Replying to @firecrawl_dev
Excited to check it out
Replying to @firecrawl_dev
Can't wait to see how the benchmarks work!
Replying to @firecrawl_dev
Awesome. Can't wait to use it in our workflow.
Replying to @firecrawl_dev
Looking forward to seeing the actual benchmark and technical deep dive! I imagine “Quality (%)” is just a placeholder while you guys finish testing, which is fine and def explains why this post is unfinished…yeah Right?
Replying to @firecrawl_dev
Awesome! Where can we find the repo to run the benchmark ourselves?
Replying to @firecrawl_dev
what's the most surprising use case you've seen for the semantic index so far? curious how teams are actually applying it beyond typical web scraping
Replying to @firecrawl_dev
data extraction just leveled up
Global South ties shape China's place in the world China stands with fellow members of the Global South because their stories are linked, according to Zhou Yongmei, Professor of Practice in Institutional Development at Peking University's Institute of South-South Cooperation and… nitter.net/i/web/status/192…