Kadoa is an AI web-scraping platform that builds and maintains data extractors automatically — no selectors or code required.
Kadoa uses AI to turn websites into structured data streams without manual scraper configuration. Describe the data you need, and Kadoa’s agents build the extraction logic, run it on a schedule, and adapt when site layouts change. This self-healing behavior addresses the biggest cost of web scraping — maintaining brittle selectors — and makes continuous data feeds practical without engineering staffing. Use cases span price monitoring, lead enrichment, real-estate listings, and market intelligence across thousands of pages.
Kadoa attacks the true cost center of web scraping: maintenance. Websites change constantly, and hand-built extractors break silently — Kadoa’s AI-generated, self-healing scrapers adapt to layout changes without human intervention. Teams describe the data need in natural language, review the generated extraction, and schedule delivery to their warehouse or webhook. Price monitoring, listing aggregation, and competitive intelligence all become continuous data feeds rather than one-time captures. For data teams, the appeal is staffing: a monitoring project that once required dedicated engineering now runs as configuration. Highly dynamic or heavily protected sites still pose challenges, as with all scraping tech. But for standard business extraction at scale, Kadoa turns an engineering project into a product purchase.
Kadoa offers a free trial to validate extraction on real sites, then subscriptions based on data volume, run frequency, and number of workflows. Enterprise plans add higher scale, custom SLAs, and dedicated support.
It is built for data teams, analysts, and businesses that need continuous web data without maintaining scraper infrastructure. It delivers the most value in monitoring scenarios where data must stay fresh across changing websites.
Kadoa provides a free trial so teams can prove extraction quality on their target sites before purchasing. Ongoing scheduled extraction requires a subscription sized to data volume and run frequency.
Yes. Kadoa exposes APIs and webhooks for triggering extraction jobs and consuming structured results, making it straightforward to embed web data into pipelines and applications.
Compared with traditional scrapers like Scrapy or Octoparse, Kadoa removes selector maintenance with self-healing AI extraction. Versus manual data entry services, it is faster, cheaper at scale, and continuously up to date.
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