New to Diffbot?
Let's help you get acquainted.
Diffbot builds AI models that read websites and structure them into facts.
Unlike flat data dumps from traditional web scraping, facts structured by Diffbot are linked to each other like nodes in a graph. "Diffbot" mentioned in thisMIT Technology Review article is resolved to the same "Diffbot" onLinkedIn ordiffbot.com.
This graph structure is key to enabling intelligent AI applications like theKnowledge Graph andGraphRAG, but most people simply know us for Extract API, the automatic web scraper that doesn't use any rules.
A bio of Mike Tung structured by Natural Language API into linked facts
Diffbot is used by companies all over the world to tap into unstructured data from the public web without the hassle of building messy web ETL pipelines.
- DuckDuckGo usesExtract to structure product data for shopping search
- ProQuo AI uses org data in theKnowledge Graph to drive predictive business development
- Contingent uses news data in theKnowledge Graph to reveal supply chain insights on target companies
We'd love to hear about the intelligent apps you're building with Diffbot. Find us onLinkedIn,Bluesky, andMastodon.
What Next?
Chances are, you probably found us with a specific use case (or even Diffbot product) in mind. You're always welcome to experiment, but it might help to check out ourProduct Overview to figure out the best Diffbot product for your needs.
Ready to jump right into our APIs? OurAPI reference has everything you need to start stringing web data in minutes.
Have a specific question? Use the search bar on the top right hand corner of this page to look for existing support documentation. If you're not able to find what you need, we're always happy to help at[email protected].
Updated about 1 month ago