Diffbot
Knowledge graph and AI web data extraction
About
Founded in 2008 by Mike Tung out of Stanford AI research, Diffbot built the world's largest automated knowledge graph by crawling and extracting structured data from over 60 billion web pages. The Diffbot Knowledge Graph contains over 10 billion entities—companies, people, products, articles—and 10 trillion facts, updated continuously. Its Natural Language API and Analyze API allow developers to extract structured fields from any URL without custom scraper code. Customers include enterprises and developers needing reliable, large-scale web data for competitive intelligence, search enrichment, and AI training datasets. Backed by Felicis Ventures, Tencent, and Bloomberg Beta, Diffbot has raised $12.5M.
Products
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Extract
— Extract and analyze articles, products, discussions, and more without any rules using machine learning.
Customer sectors: market intelligence, news monitoring, ecommerce
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Crawl
— Turn any website into a structured database of products, articles, and discussions quickly and automatically.
Customer sectors: market intelligence, machine learning, ecommerce
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Natural Language
— Infer entities, relationships, and sentiment from raw text to enhance data understanding.
Customer sectors: machine learning, news monitoring, market intelligence
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Knowledge Graph
— Access and build accurate data feeds of news, organizations, and people from a vast structured database.
Customer sectors: market intelligence, finance, news monitoring
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LeadGraph
— Enrich and enhance datasets of people and accounts with detailed firmographic and relational data.
Customer sectors: sales and marketing, finance, market intelligence
Market research & competitive positioning
Source-backed TAM / SAM / SOM sizing, displacement analysis, and an interactive peer positioning map for Diffbot — available to members.
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