AI Web Data Extraction API

What are the main use cases and capabilities of Kadoa?

Kadoa is designed to turn public data into reliable datasets quickly, with a focus on finance but applicable across use cases. Key use cases include:

• Financial data research and real-time market monitoring
• Retail intelligence (prices, availability, catalogs)
• ETL for large language models (LLMs) and AI workflows
• Job market data collection from career pages
• Media monitoring and brand tracking

Core capabilities:

• Real-time alerts when sources update or market-moving data changes
• No-code self-service workflow building
• Ability to extract data from any source format (web pages, PDFs, images, Excel)
• Deterministic extraction and transformation logic
• Source grounding for traceability (every value links to its origin)
• Data validation rules to enforce domain standards
• Self-healing workflows that adapt to source changes
• Error handling with human review when automatic recovery isn’t possible
• AI agents that generate and maintain scraping code
• Easy data delivery to S3, Snowflake, spreadsheets, via MCP, or CLI
• Fully auditable, explainable outputs

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How does Kadoa automate data discovery and extraction?

Kadoa uses AI-driven automation to locate, navigate, and extract required data from unstructured sources (web pages, PDFs, CSVs, etc.) without manual coding. Key aspects:

• Turnkey no-code setup to design end-to-end workflows
• Deterministic extraction that yields consistent results
• Automatic adaptation to source changes, access restrictions, or site issues
• Source grounding and data validation rules to maintain quality and traceability
• Self-Healing workflows that detect and adjust to evolving sources
• When automatic recovery isn’t possible, errors are surfaced for immediate human resolution

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What makes Kadoa API-first for developers?

Kadoa is built to be API-first, enabling developers to configure and manage data workflows directly via API. Highlights:

• Pre-built connectors and webhooks for change notifications
• Easy integration with existing systems without glue code
• Comprehensive API documentation
• Programmable workflow definitions to tailor extractions and transformations
• Ability to push or sync extracted data to external tools and platforms

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How does Kadoa ensure data provenance, quality, and auditability?

Kadoa emphasizes traceability and reliability through:

• Source Grounding: Every data value links to its exact source
• Data Validation Rules: Custom checks enforce domain-specific quality
• Self-Healing Workflows: Automatic adaptation to source changes
• Error Handling & Human Review: Immediate notification and human resolution when needed
• Deterministic results: Consistent outputs that are explainable and auditable

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What sources and formats can Kadoa handle?

Kadoa supports a wide range of input formats and sources, including:

• Web pages
• PDFs
• Excel files
• Images
• Any source format within a single workflow

This enables extraction from diverse public data sources without bespoke scrapers

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How does Kadoa handle changes to sources and maintain reliability?

Kadoa uses Change Detection and Self-Healing Workflows to stay current:

• Automated detection of source updates or structure changes
• Self-Healing behavior that adapts scraping logic to continue functioning
• If automatic recovery isn’t possible, alerts are sent to the team for quick resolution
• Browsers and automation code are designed to emulate human patterns to avoid blocks

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How can I deliver and integrate the extracted data?

Kadoa supports flexible data delivery and integration:

• Push data directly to S3, Snowflake, or spreadsheets
• Use the MCP and CLI to connect with internal AI tools and agents
• Webhooks and pre-built connectors simplify downstream workflows
• Integrates with tools you already use for a seamless data stack

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What security, privacy, and deployment options does Kadoa offer?

Kadoa provides enterprise-grade security, privacy, and deployment options:

• Security and compliance: SOC 2 certified; encryption at rest and in transit; regular third-party penetration testing
• Access control and auditing: SSO/SAML with automated user provisioning (SCIM); granular, customizable user roles; comprehensive audit logs; strict data isolation in multi-tenant environments
• Data under your control: On-premise or private cloud deployment options; data is never shared between customers; data is never used for AI training; workflows, sources, and schemas remain proprietary and confidential
• Automated compliance: Configurable compliance rules and restrictions; compliance officer approval before data collection; sensitive data detection; automated robots.txt checks; compliance documentation

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How quickly can I get a dataset from Kadoa?

From source to dataset in minutes. Kadoa enables you to point at a source, describe the data you need, and have a dataset generated rapidly through a self-service workflow, without waiting on data engineering queues.

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What happens if there's an extraction error or a source issue?

Kadoa provides robust error handling and escalation:

• Automated recovery attempts via self-healing workflows
• If recovery isn’t possible, you are notified immediately
• Our team can resolve issues to restore data flow, ensuring minimal disruption to monitoring and decision-making

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Why choose Kadoa over traditional web scrapers?

Kadoa offers a modern, reliable alternative to brittle, custom scrapers:

• Deterministic, auditable results with full provenance
• Source-grounded data for fully explainable datasets
• Self-healing workflows that adapt to site changes without breaking
• No-code, self-service workflow design plus API-first integrations
• Real-time alerts and robust integration options
• AI agents that generate and maintain scraping code rather than relying on black-box models

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Does Kadoa provide real-time alerts for updates or market-moving data?

Yes. Kadoa supports real-time alerts via Slack, email, or webhooks whenever a source updates or market-moving data changes, helping you act quickly on new information.