An Effective Web Scripting Algorithm for Real Time Data Processing

There are various online web sites available nowadays. People are using online web sites for shopping etc. So take a particular website to scrape the data present in it. Choose Yamaha.com to fetch the price of the product and display it according to the user's feed. Reach that website and the price of the product may changes according to the seasons, festivals, or some special events. So it fetches the price of the current date and provide it to the user's feed. Additionally, the date and time for the particular product is included. Here BeautifulSoup and pyspark are used. Here they use scraping tactics, specifically, in the realm of online advertising. In order to do this, this study suggests a collaborative filtering-based Web advertising system that makes use of Web scraping to identify the most pertinent ads for a generic Web page. Scrapers are especially interested in converting unstructured material and storing it in organized databases. Web scraping is a software method that gathers data from websites by using appropriate web browsers or low-level Hyper Text Transfer Protocol (HTTP) to mimic human exploration of the World Wide Web 1. It is closely associated with web indexing, which extracts information from the web using bots that have been designed by humans. The primary goal of Web Scraping is to convert unstructured data-typically in HTML format-into structured data that can be stored and handled in a centralized database 1. This technique is frequently utilized for a number of different tasks, including pricing comparison, mashups or mix-ups of webpages, weather prediction information, webpage integration, and webpage interface change detection. Some of the challenges are IP Blocking and Rate limiting, Dynamic content Loading, etc.