Firecrawl raises $75 million to expand AI web scraping tools

Firecrawl's $75 million Series B round comes as AI agents increasingly need web data to perform tasks, but collecting that data reliably remains difficult. Traditional web scrapers often falter on pages that load in multiple phases, require user interactions like scrolling or clicking, or host content in PDFs and Word documents—all challenges Firecrawl says its platform addresses with features like a smart wait function and automated interactions.

The company also launched Alexandria, a cloud service that merges web data with third-party sources and its own curated datasets, such as tens of millions of scientific paper abstracts and code documentation files. This could help AI agents fill gaps in web data without developers building custom connectors for each source, as Alexandria's data is available through a single application interface.

The funding will primarily support adding more third-party data providers, and Firecrawl plans to launch a self-service content licensing system soon. Whether the company can integrate these providers efficiently and attract developers to its unified interface will determine how much it stands out in the crowded data-for-AI market.