How Answer HQ Powers AI Customer Support with Firecrawl

At Answer HQ, we’re building AI customer support assistants for small businesses, and our “website import” feature is powered entirely by Firecrawl. Reliable, fast, and accurate web crawling is essential—without this scraped data, our assistant simply won’t work.

Our customers import everything from landing pages to technical documentation and knowledge bases. Making this process accurate, efficient, and performant is crucial for their success.

Integrating Firecrawl was refreshingly simple. I had a prototype running in an afternoon using the Python library, after some initial testing in the Firecrawl dashboard. I especially appreciated being able to see exactly how many pages were being imported, so I knew if I was approaching any limits.

If we had to stop using Firecrawl, we’d miss the simplicity most—the developer experience, easy setup, and not having to worry about rate limits or proxying. I’ve built my own web scraping infrastructure before with Jina AI, custom crawlers, and Playwright, and it was exceptionally brittle. I’d constantly hit anti-scraping tech and CAPTCHAs. Firecrawl handles all of this seamlessly.

The support has been exceptional. Caleb has helped me tremendously (shout out to him), and the team is incredibly responsive. They’re one of the most responsive support teams I’ve worked with, which boosted my confidence and made me feel supported no matter what.

In one sentence Firecrawl is reliable, performant, and easy-to-use web scraping infrastructure.