Custom Web Scrapping For Content Aggregation From E-Commerce Websites

Today’s internet user has a limited amount of time to mine the Internet manually for content such as videos, images, and documents that they want to view. In such case much of the user’s time is wasted overhead: waiting for pages to load, clicking hyperlinks, and downloading the content for offline viewing. Therefore, many users would benefit from an application that could automatically crawl and download a large amount of content from the Internet. A lot of effort is put by customers and information seekers to collect useful information from websites, information that is needed includes price of consumer products, related description, and other product related attributes. In the present situation where the websites change dynamically, there is a need for a system which is able to collect information for users irrespective of the changes to the web content. In this paper, we propose a novel approach for aggregation of information using Custom Web Scrapper. The results are discussed by procuring information from some popular E-commerce websites.