Web Scraping Operating System
We make going from prompt to dataset look easy, because we spent years fine-tuning the infrastructure that works for you behind the scenes.
Source
- Websites
- Documents
- APIs
Extract
Discovery
Source identification & search
Navigation
Agentic browser automation
Code Generation
Deterministic extraction code
Caching
Reusable per-source extractors
Raw Data Extraction
Text, images, and tables
Transform
Cleansing
Removes unwanted content
Formatting
Context-aware transformation
Validation
Custom rules & consistency checks
Auditing
Source grounding & confidence scores
Load
REST API
SDKs
MCP
Webhooks
Pre-Built Connectors
(e.g. Snowflake)
Infrastructure
Cloud Compute
Proxy Network
Browser Cluster
LLMs
Destination
- Business Users
- Applications
- Data Warehouses
- AI & Analytics
Deterministic, not probabilistic
LLMs generate probabilistic outputs that suffer hallucination and randomness.
Kadoa generates deterministic data pipelines that produce verifiable correct data.
LLM output
Probabilistic, not verifiable
Copper production, Q3~180 kt approximated
Ore grade0.9% hallucinated
Recovery rate— no source
Kadoa output
Deterministic, source-grounded
Copper production, Q3184 ktQ3 report p.4
Ore grade0.78%Q3 report p.6
Recovery rate89.4%Q3 report p.7
Antofagasta plcQ3 2025 Production Report
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Avoid getting blocked
Our browsers imitate human-like behavior and can rotate global IP addresses with each request.
To ensure reliable responses, we utilize:
- Regional caching
- Datacenter proxies
- Residential proxies
Self-Healing Workflows
Kadoa continuously monitors sources for layout or format updates.
Failure Resolution
When self-healing doesn't work and something breaks, you always know what's going on. An AI agent investigates first, and if a human is needed, our ops team takes over to meet our strict SLAs. So you can trust Kadoa with your mission-critical data pipelines.
The agent loads the page and sees a maintenance notice. The run is marked failed with the exact reason captured.