Case Study: Google builds a multi-agent AI assistant with Firecrawl

A Firecrawl Case Study

Preview of the Google Case Study

Google builds a multi-agent ADK app with Firecrawl and a $75M Series B backdrop

Google faced the challenge of building sophisticated AI agents that could effectively access and utilize real-time web data for tasks like search, content extraction, and research. To address this, they utilized Firecrawl, a web data API service, which provided the necessary tools to transform complex web content into LLM-ready formats without dealing with the underlying technical complexities of web scraping.

The solution implemented by Firecrawl provided Google's Agent Development Kit (ADK) with seamless integration for web search, scraping, and deep research capabilities. This enabled the development of a multi-agent ChatGPT clone that could dynamically delegate tasks to specialized agents, resulting in a powerful system capable of retrieving fresh information and interacting with online services. Firecrawl's API-first approach and official support within ADK allowed for straightforward integration, equipping the AI agents with reliable and scalable web connectivity.


View this case study…

Firecrawl

32 Case Studies