Pre-packaged datasets get commoditized fast. Build proprietary pipelines on any public source.
Analysts can source, configure, and monitor web data workflows entirely through a no-code interface.
Integrate with the tools you already use. Push data directly to S3, Snowflake, or your spreadsheet. Use our MCP and CLI to connect to your internal AI tools and agents.
PDFs, web pages, Excel files, even images. Get structured data from any source through a single workflow.
Get notified via Slack, email, or webhooks when sources update or market-moving data changes.
In finance, if data is wrong or late, someone feels it. We prevent this.

Every value links to its origin. Click any data point to see the exact source.

Custom validation rules check every workflow run against your domain rules.

Kadoa detects and adapts to source changes automatically. Our browsers follow human-like patterns to avoid getting blocked and ensure reliable extraction.

If Kadoa can't automatically recover, you get notified immediately and our team resolves the issue.
Our agents generate and maintain real scraping code—not black-box LLM outputs.
Every workflow runs deterministically, so results are consistent, explainable, and fully auditable.
Decomposes tasks and generates scraping code.

How investors use Kadoa to extract and monitor tenant directories across Simon Property Group's 300 premium shopping destinations.
We explore the top hedge fund industry trends for alternative data and AI
We spoke with Dan Entrup about how web scraping in finance hasn't evolved much in 20+ years and how AI is changing that now.