Kadoa
Automate web data extraction at scale using AI without coding
Target Audience
- Financial Analysts
- Data Engineers
- Market Researchers
- Business Intelligence Teams
Hashtags
Social Media
Overview
Kadoa uses AI to automatically extract and structure web data from any source without manual coding. It transforms messy information into clean, usable formats that integrate directly with business systems. The platform handles complex data workflows, detects source changes automatically, and scales to meet enterprise needs.
Key Features
Self-Service Workflows
Build complex data workflows 10x faster with simple schema definitions
Automatic Maintenance
Self-healing system adapts to website changes without manual intervention
AI Extraction
Accurately extracts data from any unstructured format automatically
Schema Normalization
Transforms raw data into clean, uniform formats ready for analysis
API Integration
Seamless connectivity with business systems through developer-friendly APIs
Use Cases
Monitor financial filings in real-time
Track competitor pricing and inventory
Feed clean data to AI models
Analyze media coverage trends
Source job market insights
Pros & Cons
Pros
- Self-service interface reduces engineering dependencies
- Automatic adaptation to website layout changes
- Enterprise-grade security and compliance features
- High accuracy with auditable data provenance
Cons
- Requires clear data schema definitions upfront
- Primarily focused on structured output needs
Frequently Asked Questions
How does Kadoa handle website layout changes?
Automatically detects and adapts to changes without manual intervention
What formats does Kadoa output data in?
Supports PDF, Excel, Markdown, and API integrations
Is sensitive data secured?
Offers role-based access, compliance logs, and secure deployment options
Integrations
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