The need for data Machine learning algorithms require large quantities of high quality data to learn. Data is required to train, test and validate machine learning models before they can be used for prediction. The success of a machine learning project depends heavily on the quality and quantity of data used for training and testing the model.
WebHarvy can be used to extract product data (product details, images, specification, rank, reviews, rating, images etc.) from Amazon. Learn more about image extracting using WebHarvy Scraping high resolution product images from Amazon The following video demonstrates 2 methods. The first method shows how multiple medium resolution images can be automatically extracted from the thumbnail