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Kadoa is a tool that enables automated data extraction from various sources like web pages, PDFs, and CSVs. It is designed to extract unstructured data at scale, utilizing AI technology without the need for coding. Kadoa offers an easy and efficient way to make unstructured data actionable regardless of the data source. Users can leverage Kadoa to extract desired data accurately and efficiently, making tasks such as web scraping and data extraction more streamlined and user-friendly. Additionally, Kadoa provides features like API and UI for easy scalability and continuous monitoring for new leads.
Kadoa was created by Adrian Krebs and Johannes Engler. Adrian Krebs is the Co-Founder & CEO, based in Zurich, Switzerland. The company focuses on providing a best-in-class solution for automating unstructured data workflows with AI. Kadoa's platform is autonomous, scalable, and accurate, democratizing access to unstructured data. The company aims to reduce data collection and cleaning time significantly, allowing clients to concentrate on data analysis for business growth.
To use Kadoa effectively, follow these steps:
API Configuration:
Accessing Data:
curl --request GET --get "https://api.kadoa.com/v4/workflows/{workflowId}" --header "x-api-key: API_KEY" --header "Content-Type:application/json"
Automated Transformation:
Scaling and Lead Generation:
By following these steps, users can effectively leverage Kadoa for their data integration and transformation needs, enhancing workflow efficiency and data utilization.
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