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The GPT-based Universal Web Scraper MVP is a solution that leverages GPT models and web scraping libraries to generate scraper code based on user input and website analysis, simplifying the web scraping process.
A Python-based web scraper that extracts and downloads images from websites using BeautifulSoup, Requests, and Chrome Driver. The images are filtered, stored locally, and managed efficiently for further use.
The project is an automated web scraper built to assist in obtaining large data from a particular website. By harnessing the power of automation, the web scraper is poised to significantly enhance productivity, empowering the user with seamless access to comprehensive information.