What is Kadoa?
Kadoa is an AI-driven web scraper that extracts web data at scale, automatically, without requiring any coding or technical knowledge. It provides access to a vast array of unstructured web data, making it the easiest and fastest way to get data into applications, no matter the source.
Features
- No Coding: Build data workflows 10X faster without requiring any coding or technical knowledge.
- No Maintenance: Kadoa detects data source changes and adapts to it, making the workflows maintenance-free.
- Automated Extraction: Kadoa automatically decides where to navigate and what data to extract.
- Automated Transformation: Kadoa automatically transforms the data into the desired format or taxonomy.
- High Accuracy & Scalability: Kadoa strikes a balance between limiting noise (precision) and including all valid parts (recall).
- Easy Integration: Kadoa is API-first and offers pre-built connectors to integrate the data directly into the system.
How to use Kadoa
Kadoa provides a user-friendly interface to create data workflows, automate web research, and extract data from unstructured sources. Users can configure workflows via API, integrate the data into products, and get change notifications through webhooks.
Price
Kadoa offers a free trial and a subscription-based model for its services. The pricing details are available on the website.
Helpful Tips
- Use Kadoa for financial data extraction, ecommerce product data ingestion, job postings, lead generation, and media monitoring.
- Leverage Kadoa's automated data transformation and mapping capabilities to save time and effort.
- Integrate Kadoa with existing systems and products using its API-first approach.
Frequently Asked Questions
- What is Kadoa used for? Kadoa is used for extracting web data at scale, automating web research, and integrating data into applications.
- Is Kadoa easy to use? Yes, Kadoa provides a user-friendly interface and does not require any coding or technical knowledge.
- How accurate is Kadoa? Kadoa strikes a balance between limiting noise (precision) and including all valid parts (recall), ensuring high accuracy and scalability.