DiffbotEditor's Pick

AI using computer vision and NLP to parse web pages, powering a 10B+ entity knowledge graph used by Cisco, Adobe, and Microsoft.

By Nathan KesslerUpdated May 8, 2026

Each tool is evaluated against our methodology using public docs, vendor demos, and hands-on testing.

Agentic extraction tools use AI models (often vision-language models) to autonomously understand and interact with web pages. Instead of writing CSS selectors or XPath queries, you describe what data you want in natural language and the AI figures out how to get it. This approach is more resilient to website changes and can handle complex, multi-step extraction workflows.

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Features

✓JS Rendering

✓Structured Output

—Open Source

—Self-Hosted Option

Pricing:PaidSee pricing →

Editorial assessment

The OG of AI-powered extraction, profitable and serving enterprise customers with a 1T+ fact knowledge graph. Computer vision approach means it works on any page layout without CSS selectors. Enterprise pricing makes it inaccessible for startups. The knowledge graph is the real product – if you just need page extraction, cheaper options abound. But for entity resolution at scale, nothing competes.

How Diffbot compares

ScrapeGraphAI

ScrapeGraphAI offers open-source LLM-powered extraction for teams that can't justify Diffbot's enterprise pricing.

parse.bot

parse.bot provides similar 'describe what you need' extraction but targeted at simpler, single-site use cases.

See full Diffbot alternatives comparison →

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