Extract Web Data at Scale With Parallel Agents

Firecrawl has introduced parallel processing to its /agent endpoint, enabling users to batch process thousands of queries simultaneously, significantly enhancing data enrichment capabilities for firms, competitive research, and product data extraction. This innovation is powered by the new Spark-1 Fast model, which allows users to gain insights quickly by attempting instant retrieval for straightforward queries and automatically upgrading to the more comprehensive Spark-1 Mini model when necessary. The system requires zero configuration, as users can input data schemas, write a single prompt, and execute the process without building complex workflows. Users can work in familiar CSV or JSON formats, receiving real-time visual feedback as data populates, while the intelligent waterfall approach optimizes costs by only charging for full research when faster methods are insufficient. The Firecrawl platform aims to streamline data gathering and analysis, offering predictable pricing and a user-friendly interface via the Agent Playground.