Firecrawl is now available on the Vercel Marketplace. For product engineers building AI agents on Vercel, this removes a persistent friction point: standing up and maintaining your own web crawling stack just to get structured data into an LLM pipeline.
The integration connects Vercel teams directly to Firecrawl's capabilities through the Marketplace. That means no separate account wiring, no custom middleware, and no crawling infrastructure to manage on your end.
Three core capabilities come with the integration. First, you can scrape websites into LLM-ready formats, so the output is structured for model consumption rather than raw HTML you have to clean yourself. Second, you can search and retrieve full page content, which is useful when you need to pull specific information from a site at query time rather than on a fixed schedule. Third, you can interact with dynamic pages for retrieval and agent workflows. That last point matters most for agent use cases, where a static snapshot of a page is often not enough.
The practical upside is that agent and application builders can treat web data as a reliable, on-demand source without owning the infrastructure that makes it work. Crawling, rendering dynamic content, and formatting output for LLMs are all handled by Firecrawl, accessible directly from within the Vercel ecosystem.
If you are already shipping AI agents or retrieval-augmented applications on Vercel, the immediate next step is to open the Vercel Marketplace and add Firecrawl to your project. From there you can wire live web data into your agent workflows without spinning up any additional services.