Kadoa | AI Web Scraper
Open siteResearch & Data Analysis
Introduction
Kadoa automates data extraction using generative AI for custom web scraping.
Kadoa | AI Web Scraper Product Information
Kadoa AI Web Scraper – Product Solutions
Kadoa is an AI-powered web scraper platform that extracts unstructured data at scale, automatically, without code. It turns web data into clean, normalized signals for insights, enabling faster decision-making, broader data coverage, and reduced engineering bottlenecks. It supports self-serve data workflow creation, automated extraction, transformation, and integration via API, with a focus on accuracy, maintainability, and ease of use.
Overview
- Unstructured data to proprietary signals at scale
- AI-driven extraction, transformation, and normalization
- Zero-code, self-serve data workflows
- Real-time monitoring and change notifications
- API-first with pre-built connectors for easy integration
- Secure, auditable data lineage from source to output
Use Cases
- Financial services: capture market-moving events, earnings, regulatory filings
- Retail intelligence: monitor competitors, pricing, product changes
- ETL for LLMs: clean and normalize documents for LLM ingestion
- Job market data: track postings and industry trends
- Media monitoring: extract entities, events, and sentiment from sources
How It Works
- Self-serve workflow design: Define the desired data schema and extraction/transform steps via the UI or API.
- Automated extraction: AI-powered scrapers pull data from any website or document, with continuous adaptation to source changes.
- Data transformation: Clean, normalize, and structure data into a uniform schema suitable for downstream systems.
- Monitoring & alerts: Real-time updates and configurable notifications for relevant data changes.
- Delivery & integration: Output to storage (e.g., S3), databases, or directly into trading systems via API.
Sample Workflow
- Source: investor relations pages, SEC filings, corporate announcements
- Actions: extract earnings figures, revenue, EPS, company events
- Output: structured records with timestamp, event type, entity, extracted data, source, and confidence
- Delivery: store in S3, feed into analytics engine, trigger alerts when signals cross thresholds
Self-Service Capabilities
- Build complex data workflows without writing code
- Automated extraction, transformation, and validation
- Quick go-live: deploy data pipelines in days, not months
- Change detection and adaptability to source changes
- Easy API access for integration into existing systems
Testimonials & Case Highlights
- “Our analysts can now get data themselves and our central data team spends less time collecting data.”
- “Kadoa extracts and normalizes data from cross-regional filings, giving us broader coverage than traditional providers.”
- “Kadoa alerts us to market-moving events before they appear on Bloomberg.”
Security & Compliance
- Role-based access control and single sign-on
- Detailed audit and compliance logs
- Secure cloud, VPC, and on-prem deployment options
- No training required on your data for end-users
Core Features
- No-code / low-code UI for designing data workflows
- AI-powered automatic extraction from websites and documents
- Automatic data transformation and normalization into a consistent schema
- Real-time monitoring and change notifications (webhooks and alerts)
- API-first platform with pre-built connectors for direct integration
- Change detection and source-adaptation to minimize maintenance
- Access controls, audits, and deployment options for security and compliance
- Scalable to hundreds of sources and data points with auditable lineage