Firecrawl

The Web Data API for AI Agents and Developers

5.0•16 reviews•

3.2K followers

The Web Data API for AI Agents and Developers

5.0•16 reviews•

3.2K followers

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LLM Developer Tools

The API to search, scrape, and interact with the web at scale.

Firecrawl Launches

Alexandria by FirecrawlThe knowledge library for superintelligence

Launched on September 23rd, 2026

Firecrawl Developer IndexA curated index of 70M+ artifacts for coding agents.

Launched on August 28th, 2026

The new Firecrawl MCPAgent-ready web context for any MCP client.

Launched on August 7th, 2026

The new Firecrawl /searchOur most accurate Search API for AI agents.

Launched on July 24th, 2026

Firecrawl Research IndexAn index for agents pushing the frontier of AI/ML research

Launched on June 19th, 2026

View all Firecrawl launches

5.0

Based on 16 reviews

Review Firecrawl?

Reviewers describe Firecrawl as a reliable way to turn messy web pages into usable, structured data, especially for AI agents and research workflows. A user says it makes meaningful extraction from unstructured content dependable and cuts down on manual research and brittle scraping. Founders from Agentplace.io, Jet Admin, and Crewdle echo that, praising clean markdown output, simple setup, and strong handling of hard scraping cases. The main request for improvement is deeper, multi-step search and enrichment.

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•1 review

What's great

For the first time, I’m able to reliably extract meaningful data from unstructured web content. It feels almost magical. This alone will save us several hours every month that would otherwise go into manual research or brittle scraping workflows.

What needs improvement

It would be great to have a deeper, multi-step search capability. When an entity is partially identified but some key attributes are missing, the agent should be able to automatically expand the search to related sources across the web, infer connections, and enrich the final output with additional relevant details.

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547 views10mo ago

used Firecrawl to build Tab

•7 reviews

I use Firecrawl to scrape a website to create a blog design similar to the website. This would've been an entire startup few years ago just scraping a website reliably. Now, it's just an API call away!

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471 views1yr ago

used Firecrawl to build Crewdle AI

•3 reviews

Huge shoutout to Firecrawl for powering the web data layer behind Crewdle. When you're building AI agents and chat that need clean, reliable access to the web, scraping is usually the messiest part of the stack. We looked at building our own crawler and a few other scraping APIs, but Firecrawl won for three reasons: 🔹 LLM-ready output — It returns clean markdown, not a tangle of raw HTML we'd have to parse ourselves. That saved us weeks. 🔹 Reliability at scale — It handles JavaScript-heavy sites, rate limits, and edge cases that would've eaten our engineering time. 🔹 Simple, developer-first API — We were up and running in an afternoon instead of fighting infrastructure. If you're building anything that needs to turn the web into structured data for AI, Firecrawl is the tool we'd recommend.

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133 views4mo ago