Using Web Scraping In A Knowledge Environment To Build Ontologies Using Python And Scrapy
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 3, Pages 433-442
AbstractWeb scraping, or web data extraction is data scraping used for extracting data from websites. Web scraping software may access the World Wide Web directly using the Hypertext Transfer Protocol, or through a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a bot or web crawler. It is a form of copying, in which specific data is gathered and copied from the web, typically into a central local database or spreadsheet, for later retrieval or analysis.
In this paper, among others kind of scraping, we focus on those techniques that extract the content of a Web page. In particular, we adopt scraping techniques in the Web e-commerce field. To this end, we propose a solution aimed at analyzing data extraction to exploiting Web scraping using python and scrapy framework .
- Article View: 542
- PDF Download: 948