Firecrawl, a web scraping platform for AI agents, secured $75 million in Series B funding led by Los Angeles-based Smash Capital. The round underscores growing demand for data extraction tools powering AI applications.
Firecrawl provides web scraping infrastructure that enables AI agents to extract and process data from websites at scale. The platform abstracts away the complexity of parsing HTML, handling JavaScript rendering, and managing proxies—common challenges in web scraping.
Smash Capital led the Series B round, joining existing investors backing the Los Angeles-based startup. The funding comes as enterprises increasingly deploy AI agents that require real-time web data to perform tasks like market research, competitive analysis, and automated information gathering.
Web scraping tools have become critical infrastructure in the AI stack, with startups competing to offer faster, more reliable access to publicly available web data. Firecrawl positions itself as a purpose-built solution designed specifically for AI workflows, differentiating from general-purpose scraping libraries.
The company has not disclosed its previous valuation or funding history details.
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