FireCrawl API is one of the core technology components of AI's research assistant, specialized in extracting high-quality structured data from target URLs. By intelligently parsing the DOM structure of web pages, the technology is able to accurately recognize and crawl more than 20 types of key information fields, including company name, business description, core team, financial data and so on. Its core technology breakthrough lies in three points: firstly, adaptive web template parsing capability, which can automatically adapt to different website structures; secondly, anti-crawler evasion mechanism, which ensures the stability of data acquisition during high-frequency access; and most importantly, data normalization processing, which transforms heterogeneous web content into a unified structured JSON format.
In the actual workflow, when the user submits the company's URL, FireCrawl API will first perform a deep crawl, and its data coverage can reach the public pages of the target website over 90%. Compared with traditional crawling tools, its outstanding advantages are reflected in the accuracy and completeness of information extraction, such as the ability to accurately identify the correspondence between the names of corporate executives and their duties, or automatically associated with branch information. For edge cases of crawling failure, the system will intelligently trigger the search engine fallback mechanism to supplement the missing data through Google and other channels, and this double-guarantee design ensures that the data integrity of the final research report reaches more than 98%.
This answer comes from the articleAI Agent Company Researcher: Automated Company Information Research IntelligencerThe
