How to Extract Structured Web Data with the Diffbot Knowledge Graph API
Learn how to use Diffbot's Analyze API, Crawlbot, and Knowledge Graph to extract clean structured data from the web for research and enrichment.
Diffbot is a data platform that uses computer vision and natural language processing to convert the open web into a structured knowledge graph. Rather than writing and maintaining fragile scrapers, developers call Diffbot APIs that automatically identify the entities on a page — products, articles, people, organizations, and more — and return clean, typed JSON. The underlying Knowledge Graph links billions of these entities so teams can answer complex questions about the real world.
What separates Diffbot from traditional data tools is its automated, self-learning extraction engine. Its Analyze API reads any URL and classifies the page, while the Crawlbot service lets teams build targeted custom crawls without writing code. Through the Knowledge Graph, subscribers can query entities by type and relationship, making Diffbot a practical shortcut for research, data enrichment, and building knowledge-driven products.
Product Features
Analyze API — automatically classify and extract entities from any webpage.
Structured data extraction — get clean, typed JSON for products, articles, and more.
Knowledge Graph — query billions of linked real-world entities and relations.
Crawlbot — define and run custom web crawls without writing scraping code.
Visual and OCR understanding — parse complicated, image-heavy page layouts correctly.
API access at scale — dependable infrastructure for high-volume data pulls.
Product Highlights
Machine-extracted web data that replaces fragile, hand-maintained scrapers.
Curated Knowledge Graph linking billions of real-world entities.
Human-level accuracy through proprietary computer vision and NLP.
Queryable entity data ideal for research, enrichment, and analytics.
Use Cases
Conducting market and competitor research with entity-level web data.
Enriching CRM records with cleaned company and contact information.
Building knowledge graphs and recommendation systems from public content.
Monitoring news, products, and brands with automated classification.
Answering analytical questions that combine facts across millions of sources.
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