How Stack AI Uses Firecrawl to Power AI Agents

At Stack AI, we use web scraping to ingest website content as a knowledge base that can then feed an agentic AI workflow. Our users can apply this to automate retrieval, research, and content generation tasks with AI Agents. When we started looking for a reliable solution, we came across Firecrawl and decided to give it a try.

Integrating Firecrawl was seamless thanks to their lightweight API and onboarding resources. Their team provided clear guidelines that aligned with our tech stack. This allowed us to integrate their scraping API into our existing data ingestion pipeline in less than 15 minutes. That quick turnaround really stood out, and it immediately became clear we’d found a solid partner.

If we ever had to move away from Firecrawl, we’d miss its scalability and quality. Firecrawl has consistently provided high-quality data without downtime, enabling us to feed AI agents with accurate web data. Their ability to handle complex scraping tasks while ensuring compliance with website terms has been invaluable. It’s not easy to find a scraping solution that’s both reliable and fully compliant, so we appreciate the peace of mind Firecrawl brings.

Their support has also been top-notch. The Firecrawl team has been exceptional in providing support. When we encountered technical hurdles or needed advice on optimizing performance, their response was swift and solutions were actionable. Their dedication to customer success stood out at every interaction.

We’re excited to see where this partnership goes as our AI platform continues to grow.