Kadoa

AI web scraper that auto-generates extraction logic from any website – no selectors, no code, just point and extract.

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:FreemiumSee pricing →

Editorial assessment

Clean UX that auto-detects page structure and generates extraction logic. The no-code approach makes it accessible to non-technical users for business data collection. The auto-detection works well on standard layouts but struggles with complex, dynamic SPAs. Limited customization when the AI gets it wrong. Best for structured data on consistent page templates.

How Kadoa compares

Diffbot

Diffbot provides more robust AI extraction with computer vision that handles complex layouts better.

parse.bot

parse.bot offers a similar no-code experience but creates persistent API endpoints.

ScrapeGraphAI

ScrapeGraphAI is the open-source option with more flexibility for developers willing to write prompts.

See full Kadoa alternatives comparison →

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