serp.fast

Kadoa

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

Nathan Kessler
By Nathan KesslerUpdated

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 →

Frequently asked questions

How much does Kadoa cost?

Kadoa uses freemium pricing. You can start for free, and paid plans move to usage-based billing after the trial period. Kadoa does not publish exact figures on a flat price list, so the cost depends on how much you extract and which features you need. Higher tiers add things like volume discounts, more connectors, and SSO for larger teams. Check the pricing page or talk to sales after starting a trial to get a number for your usage.

Is Kadoa open source or self-hostable?

No. Kadoa is a closed-source, hosted SaaS product. You cannot inspect the code, fork it, or run it on your own infrastructure, and there is no self-hosted deployment option. Kadoa handles extraction, JavaScript rendering, and structure adaptation on its own cloud. If running the engine inside your own environment matters, ScrapeGraphAI is open source and can be self-hosted instead.

Does Kadoa render JavaScript and handle dynamic pages?

Yes. Kadoa renders JavaScript and can extract from client-side pages, returning structured output without you writing selectors. It auto-detects page structure, which works well on standard, consistent templates. The auto-detection is less reliable on complex, heavily dynamic single-page apps, where results can need correction and customization options are limited. For predictable layouts it works well. For unusual SPAs, budget time to verify the output.

What is Kadoa best used for?

Kadoa fits non-technical or lightly technical teams collecting structured business data from sites with consistent page templates, such as product listings, directories, or pricing pages. The point-and-extract approach removes selector maintenance, and the AI re-learns when a layout changes. It is a weaker fit when you need fine-grained control over extraction logic, or when you are scraping irregular single-page apps where the auto-detection misfires.

How does Kadoa compare to Diffbot?

Both are closed-source, hosted extraction services in the agentic-extraction category, and neither is self-hostable. Kadoa centers on a no-code interface: you point at a page and it generates the extraction logic, which is aimed at business users. Diffbot leans toward API-driven structured extraction at scale plus its knowledge graph, which suits engineering teams building data pipelines. Choose Kadoa for accessible ad-hoc collection, Diffbot for programmatic scale.

What is the best alternative to Kadoa?

It depends on the gap you are filling. ScrapeGraphAI is the strongest choice if you want open-source code you can self-host and customize. Diffbot suits teams needing API-first extraction at scale plus a knowledge graph. parse.bot is another agentic option worth comparing for natural-language extraction. If Kadoa's auto-detection struggles on your dynamic SPAs, or you need deeper control, these three are the most direct substitutes.

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