Kadoa | AI Web Scraper

Autonomous Data Extraction at Scale with AI

what is Kadoa | AI Web Scraper

Kadoa is an AI-powered web scraping tool that automates data extraction from various sources using generative AI to create custom web scrapers. Ideal for enterprises, developers, and data analysts seeking to streamline web data extraction, Kadoa minimizes manual effort and ensures accurate results.

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https://www.kadoa.co

What is Kadoa | AI Web Scraper

Kadoa | AI Web Scraper is an AI-powered web scraping tool that utilizes generative AI to create custom web scrapers and extract desired data automatically. It eliminates the need for manual data processing work by automating data extraction workflows. The product leverages AI to eliminate tedious, error-prone, and expensive manual scraping, mapping, and API interactions. Kadoa's AI enables it to generate web scrapers, perform data transformation, and ensure data accuracy through multiple validation steps. It is designed for data-driven professionals, businesses, and organizations looking to extract, transform, and analyze data from various sources.

How to use Kadoa | AI Web Scraper

Users can define the data they want to extract, specify the sources, and set the extraction schedule. Kadoa's AI generates web scrapers and adapts to changes in website structures, extracting data accurately and transforming it based on requirements.

Key Features

  • Auto-generates web scrapers using generative AI,
  • Uses generative AI to create custom web scrapers,
  • Utilizes smart crawling and autonomous crawling agent

Frequently Asked Questions

What is the AI technology used in Kadoa?

Kadoa uses generative AI to automatically create web scrapers tailored to different sources.

### How does Kadoa's AI adapt to changes in website structures?
Kadoa's AI can adapt to changes in website structures by generating new web scrapers as needed.

### Is the extracted data accurate?
Kadoa ensures data accuracy through multiple validation steps and verifies the existence of extracted data on the source website.

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