Diffbot

Diffbot uses computer vision and machine learning to turn web pages into structured data automatically, without site-specific rules.

Overview

Diffbot’s extraction APIs analyze pages the way a human does—using vision models rather than brittle CSS selectors—so they keep working as sites change. Products cover articles, products, discussions, companies, and people, feeding a knowledge graph of billions of entities. Teams use Diffbot for market intelligence, lead enrichment, and building AI training datasets from public web content. Its knowledge graph can be queried directly for structured facts.

Diffbot’s computer-vision approach to extraction is fundamentally more durable than selector-based scraping: when a site redesigns its markup, the models still recognize articles, products, and entities the way a human would. This reduces maintenance costs for large-scale operations.

Its knowledge graph compounds the advantage, offering structured facts about companies, people, and products that can be queried directly. Market intelligence teams use it to enrich internal data, while AI teams draw on it for curated training corpora.

Teams commonly combine extraction APIs with monitoring to track competitor pricing, executive changes, or product launches, receiving structured alerts rather than raw page diffs. The knowledge graph supports enrichment of CRM records and lead databases at scale.

Key Features

• Automatic page classification and extraction without manual rules
• Article, product, discussion, image, and video extraction APIs
• Diffbot Knowledge Graph with billions of entities and relationships
• Change monitoring and alerts for tracked pages and entities
• Enrichment APIs for company and person data
• High-volume crawling infrastructure for enterprise pipelines

Pricing

Diffbot offers a free trial with API credits. Paid plans scale by API calls and crawling volume, with enterprise agreements for knowledge graph access.

Who Is It For

Enterprises building knowledge graphs, market intelligence products, and AI datasets that need structured public web data at scale.

Monitoring adds change detection on top of extraction, delivering structured alerts rather than raw page diffs for tracked entities.

FAQ

Is Diffbot free to use?

A free trial with credits is available; ongoing use requires a paid plan based on API volume.

Does Diffbot offer an API?

Yes, Diffbot is entirely API-based, with REST endpoints for extraction, crawling, monitoring, and knowledge graph queries.

How does Diffbot compare to alternatives?

Diffbot’s vision-based extraction is more robust to site changes than selector-based scrapers, though it costs more than DIY tooling. Long-term customers cite extraction stability as the deciding factor, since vision-based parsing survives website redesigns that break selector-based scrapers.