Enrich or search organizational data with access to over 300M 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.