Web Crawling on News Web Page using Different Frameworks
Harshala Bhoir, K. Jayamalini · International Journal of Scientific Research in Science and Technology · 2021
Now a days Internet is widely used by users to find required information. Searching on web for useful information has become more difficult. Web crawler helps to extract the relevant and irrelevant links from the web. Web crawler downloads web pages through the program. This paper implements web crawler with Scrapy and Beautiful Soup python web crawler framework to crawls news on news web sites.Scrapy is a web crawling framework that allow programmer to create spider that define how a certain site or a group of sites will be scraped. It has built-in support for extracting data from HTML sources using XPath expression and CSS expression. BeautifulSoup is a framework that extract data from web pages. Beautiful Soup provides a few simple methods for navigating, searching and modifying a parse tree. BeautifulSoup automatically convert incoming document to Unicode and outgoing document to UTF-8.Proposed system use BeautifulSoup and scrapy framework to crawls news web sites. This paper also compares scrapy and beautiful Soup4 web crawler frameworks.