Firecrawl raised $14.5M in Series A funding to address the critical web data access bottleneck that limits AI agent deployment across enterprise applications.

This infrastructure challenge affects every organization building AI agents that need real-time web data—from competitive intelligence systems to lead enrichment platforms—where legacy scraping solutions fail to deliver the speed, reliability, and structure that modern AI requires.

The Web Data Access Problem

Enterprise AI teams consistently face the same fundamental bottleneck: converting unstructured web content into clean, AI-ready data at scale. Current scraping solutions deliver inconsistent results, fail against JavaScript-heavy sites, and require constant maintenance as websites change their structure.