Webtap is an innovative web scraping tool that allows users to extract data from websites using natural language queries. It simplifies the process of web scraping by eliminating the need for complex programming or technical knowledge. Users can simply describe what data they need, and Webtap’s AI-powered system will retrieve it efficiently.
One of the standout features of Webtap is its ability to scrape approximately 100 pages with just one credit. This makes it a cost-effective solution for large-scale data extraction projects. For example, with $200 in credits, users can scrape up to 500,000 web pages. This scalability is particularly beneficial for businesses and researchers who require access to vast amounts of web data.
Webtap supports tailored scraping for 100 specific websites and offers a universal scraper that can handle most public websites, which is currently in beta testing. The tool ensures high-quality and accurate data scraping by verifying results against multiple sources and updating its algorithms to adapt to changes in website structures.
Moreover, Webtap provides flexibility in acquiring additional credits through its online portal, where various packages are available to suit different scraping needs. There is no daily limit on the number of pages that can be scraped, as long as users have enough credits. For sites not currently supported, Webtap offers personalized assistance once users sign up in the app, ensuring that they can get the data they need for their specific use cases.