Kadoa
What is Kadoa?
Kadoa is an AI-powered web data platform designed primarily for investment firms, analysts, engineers, and AI agents. It extracts and transforms information from websites, PDFs, images, and spreadsheets into structured datasets. Users can describe a data need in plain language, while Kadoa builds deterministic extraction workflows with schemas, schedules, validation, and monitoring. Its platform supports self-healing pipelines, source-grounded outputs, change detection, and compliance controls for ongoing data operations. Kadoa differentiates itself by combining analyst self-service with developer tooling and direct delivery to warehouses, cloud storage, APIs, and AI applications.
How to use Kadoa?
1. Create a Kadoa account and open the dashboard or connect through the API, SDK, CLI, or MCP server. 2. Describe the dataset you need in plain language and provide a source URL or target sources so Kadoa can propose a schema and build a preview workflow. 3. Review and approve the sample, then activate the workflow to extract, schedule, monitor, validate, and deliver the full dataset.
Kadoa's Core Features
Natural-Language Workflow Builder: Describe the dataset you need and let Kadoa propose sources, schemas, extraction logic, and a test preview.
Multi-Source Extraction: Extract structured information from websites, PDFs, images, and spreadsheets for broader research coverage.
Deterministic Pipelines: Convert AI-assisted setup into repeatable workflows that produce consistent results on each run.
Self-Healing Scrapers: Detect website changes, adapt extraction code, and log repairs to reduce maintenance work.
Data Quality Rules: Validate completeness, plausibility, schema adherence, and custom field-level requirements on every run.
Change Detection: Identify and classify new, modified, or removed records across scheduled or real-time workflow runs.
Source-Grounded Outputs: Trace extracted values back to the source page, paragraph, cell, or URL for review and auditability.
Real-Time Monitoring: Watch selected websites for changes and route alerts through email, Slack, webhooks, or WebSockets.
Warehouse and Cloud Delivery: Push datasets to Snowflake, Databricks, S3, Google Cloud Storage, Azure Blob, and related data systems.
Developer Access: Integrate workflows and results through the REST API, Python and Node.js SDKs, CLI, or MCP server.
Compliance Controls: Apply PII detection, robots.txt checks, custom restrictions, audit logs, and workflow approval processes.
Team Workspaces: Collaborate with shared workflows, role-based permissions, usage tracking, API keys, and centralized administration.
Kadoa's Use Cases
- #1
Investment analysts collecting structured alternative data from company websites, pricing pages, hiring pages, and public records
- #2
Hedge funds monitoring market-moving changes across regulatory, commodity, energy, and corporate information sources
- #3
Private equity teams tracking portfolio-company locations, reviews, pricing, inventory, and competitive positioning
- #4
Research teams extracting and normalizing global company filings, financial documents, and other PDFs
- #5
Data engineering teams replacing fragile custom scrapers with monitored, validated, self-healing extraction pipelines
- #6
Quantitative researchers delivering web-derived datasets directly to Snowflake, Databricks, S3, or internal analytics systems
- #7
AI teams connecting structured web data to ChatGPT, Claude, Cursor, Claude Code, or other MCP-compatible tools
Frequently Asked Questions
Analytics of Kadoa
Monthly Visits Trend: May 2025 - Aug 2026
Traffic Sources
Top Regions
| Region | Traffic Share |
|---|---|
| United States | 61.15% |
| India | 7.24% |
| Germany | 6.06% |
| United Kingdom | 5.68% |
| Canada | 3.35% |
Top Keywords
| Keyword | Traffic | CPC |
|---|---|---|
| reddit wrapped | 560 | -- |
| reddit wrapper | 80 | -- |
| where is trump speaking today | -- | -- |
| kenvue warn notice | 220 | -- |
| belk layoff | 2.2K | -- |
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