Kadoa
AI-powered web scraping and unstructured data extraction platform with self-healing workflows
- Category
- Data Analysis
- Pricing
- Free tier for a first workflow and a scraping playground; paid plans start around $39-99/month with usage-based credits, and custom enterprise pricing is available via sales for large-scale extraction.
- Best for
- Kadoa suits data teams, growth marketers, and engineers who regularly need structured data pulled from websites or documents (competitor pricing, listings, public records, company data) but don't want to build and maintain custom scraping infrastructure.
- Official site
- www.kadoa.com
- Last updated
- August 2026
Kadoa is an AI-native web scraping and data extraction platform built to remove the two most painful parts of traditional web scraping: writing custom parsers for every site, and constantly fixing scrapers when target websites change their HTML structure. Instead of relying on brittle, hand-coded selectors, Kadoa uses AI models to understand the semantic structure of a page or document and extract the relevant fields automatically.
A key differentiator is its "self-healing" approach: when a website changes its layout, Kadoa's models re-detect the relevant data fields rather than requiring a developer to rewrite scraping logic. Beyond live websites, the platform also handles unstructured documents like PDFs, enabling extraction pipelines that combine both web and document data sources into one workflow.
Kadoa targets both technical and non-technical users, offering a no-code workflow builder for defining what data to extract and how often, alongside APIs and integrations for developers who want to pipe extracted data directly into their own systems, databases, or analytics tools. It's commonly used for use cases like competitive price monitoring, lead/company data enrichment, real estate listings aggregation, and general market intelligence gathering.
Kadoa suits data teams, growth marketers, and engineers who regularly need structured data pulled from websites or documents (competitor pricing, listings, public records, company data) but don't want to build and maintain custom scraping infrastructure. It's a good fit for startups and mid-size companies running market intelligence, lead enrichment, or price-monitoring workflows. Larger enterprises with high-volume, mission-critical extraction needs are also served through custom enterprise plans. It's less necessary for one-off, small-scale data pulls that don't justify a dedicated extraction tool.
Key features
AI Structure Detection
Automatically identifies relevant fields and data structures on a page without manual CSS/XPath selector configuration.
Self-Healing Workflows
When a target site's layout changes, extraction workflows adapt automatically instead of breaking and requiring manual fixes.
Document and PDF Extraction
Extracts structured data from unstructured documents like PDFs in addition to live web pages.
Scheduled and Real-Time Monitoring
Workflows can run on a schedule or continuously to keep extracted datasets current for time-sensitive use cases.
No-Code Workflow Builder
Non-technical users can define extraction targets and rules through a visual interface rather than writing code.
API and Integration Delivery
Extracted data can be delivered via REST API, webhooks, or direct integrations into downstream tools and databases.
Pricing breakdown
Free
- One free extraction workflow
- AI web scraper playground
- Limited monthly credits
Starter/Pro
- Multiple workflows
- Scheduled extraction runs
- API access
Enterprise
- Large-scale extraction volume
- Dedicated support
- Custom integrations and SLAs
Pros and cons
Pros
- Self-healing extraction significantly cuts down the ongoing engineering time typically spent fixing broken scrapers
- Unified handling of both websites and unstructured documents (PDFs) means fewer tools needed for mixed data-source pipelines
- Free tier and playground make it easy to validate the tool on a real use case before committing financially
- No-code builder opens up web scraping to non-engineering teams like growth, sales ops, or market research
- API-first delivery makes it straightforward to pipe extracted data into existing data warehouses or apps
Cons
- Full pricing transparency is limited past the entry tiers, requiring a sales conversation for larger-scale needs
- As with any scraping tool, target websites with aggressive anti-bot protections or paywalls can limit reliability
- Users should be mindful of the legal and terms-of-service considerations of scraping certain sites, which is a shared risk across the category, not unique to Kadoa
- Being a newer entrant, its library of pre-built connectors/integrations is smaller than some longer-established ETL players
- Extraction accuracy on highly dynamic or JavaScript-heavy sites may still require some manual review or tuning
Alternatives to Kadoa
BooleanMaths
Server-side attribution and ROAS analytics purpose-built for Shopify D2C brands, queryable by AI assistants via MCP.
Compare →Akkio
No-code AI platform for building predictive analytics and machine learning models fast
Compare →Alegion AI
Managed data labeling and annotation platform for training production-grade AI and ML models
Compare →Frequently asked questions
Does Kadoa require coding knowledge?
No, Kadoa offers a no-code workflow builder for defining extraction targets, though it also provides an API for developers who want programmatic control.
What happens when a website Kadoa scrapes changes its layout?
Kadoa's AI models are designed to re-detect the relevant data fields automatically, a feature the company calls self-healing, reducing the need for manual scraper fixes.
Can Kadoa extract data from PDFs, not just websites?
Yes, Kadoa supports extraction from unstructured documents like PDFs in addition to live web pages.
Is there a free way to try Kadoa?
Yes, Kadoa offers a free first workflow and an AI web scraper playground for testing before committing to a paid plan.
How is extracted data delivered?
Data can be delivered via REST API, webhooks, or direct integrations into downstream databases and tools.
Is web scraping with Kadoa legal?
Legality depends on the target website's terms of service and applicable data/privacy laws; users are responsible for ensuring their specific use case complies with relevant regulations.
Ready to try Kadoa?
Head to the official site to explore pricing and start a free trial where available.
Visit Kadoa →