Enhance the data in your Google sheet by taping in the world's largest database of public knowledge.
Enrich or search organizational data with access to over 180M profiles from Diffbot’s Knowledge Graph. Start with a list of entities or a set of criteria. End with a deep dive into organizational data. Pull data on one or thousands of entities with a simple formula using the Diffbot Query Language (DQL) syntax.
How does it work?
Diffbot’s Knowledge Graph is compiled by machine learning-enabled web scrapers that turn unstructured data from around the web into a structured, queryable database.
The Knowledge Graph contains over 20 billion entities (organizations, locations, articles, key people, brands, and more), and over 2 trillion facts (revenue, price, skills, and more). All entities are contextually linked and sourced from public-facing documents around the web. A new Knowledge Graph is compiled every 3-5 days, ensuring data freshness and accuracy.