Kadoa

AI platform for extracting and monitoring structured web data

By Nathan KesslerUpdated Jul 27, 2026

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

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What is Kadoa?

Kadoa is an AI-powered platform for extracting and monitoring structured data from websites, PDFs, images, and spreadsheets, and it's positioned as a web data layer for finance. It builds deterministic extraction pipelines with LLMs and delivers datasets to destinations like S3, Snowflake, and BigQuery. The pipelines self-heal: they detect and repair breakages when source sites change, and source grounding traces each extracted value back to its origin. Kadoa ships Python and Node.js SDKs, a REST API, and an MCP server, plus an enterprise tier for private-cloud or on-premise deployment.

Our verdict

The self-healing pipelines and source-grounding traceability suit teams needing auditable, monitored feeds, like the hedge funds and asset managers it lists as customers. Pricing isn't published, and the enterprise deployment options point toward a sales-driven buying process rather than a quick self-serve start.

Categories:

AI Extraction

AI extraction tools sit between a raw page and your database: you describe the fields you want, and a model returns structured JSON or LLM-ready markdown without hand-written selectors. They hold up well when page layouts change often, at the cost of per-request model spend and the occasional wrong field.

Tags:#paid #self-hosted #structured-output #pdf-extraction #api-first #mcp #python-sdk #javascript-sdk #real-time

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How Kadoa compares

Firecrawl

Firecrawl provides API and SDK access to structured, LLM-ready web extraction and targets a similar developer audience to Kadoa's own API and SDK access.

Diffbot

Diffbot automates structured extraction from web pages at scale, similar in goal to Kadoa's deterministic, self-healing pipelines.

Parsio

Parsio parses structured data out of documents and emails, which overlaps with Kadoa's PDF and spreadsheet extraction use case.