NewsOne — An Aggregation System for News Using Web Scraping Method
K. Sundaramoorthy, Rangineni Manasa Lakshmi Durga, S. Nagadarshini · 2017
NewsOne is a dedicated platform that aggregates all the latest news updates from multiple national and international resources and summarizes them to present in a short and crisp words. This online platform provides a service oriented interaction among the users from across web. The main motto of this application is to access the news fast. It will bring news directly without wasting any time for searching and news loading. NewsOne uses web scraping/crawling method to extract the content from various news websites. The basic concept deals with news feeds, the admin or sub admin will add all the news URL into a database. The crawler fetches the content from the RSS feeds of the stored URL. A bot is employed that will dynamically extract the contents at certain intervals. This paper describes a model to perform categorization which extracts useful information for classifying a document into category by referring to URL. Users will get a flexible experience on this application. It allows the readers to read the news based on interest. This can be possible by enabling them to choose the categories of news such as Just-In, Technology, Health, Science, Sports, Business and Economics and Entertainment. It provides the reader to read the news for free of cost and in the fastest way possible. Users can get complete up-to-the-minute daily news coverage and headlines from over 100+ fully licensed and trusted news sources nationally and worldwide. Lastly some recommendation and thoughts are laid out for the future development of the work.