Web Harvesting is the process of extracting data from the web. It involves using automated tools to gather large amounts of data from various websites, which can then be processed and analyzed for different purposes. Web harvesting techniques can be applied to static and dynamic web content, including text, images, and multimedia. This process is widely used in fields such as market research, business intelligence, and academic research, where large datasets are required. Effective web harvesting requires managing challenges such as data variability, website structures, and legal considerations related to data use.