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Main objective of Web Scraping is to extract information from one or many websites and process it into simple structures such as spreadsheets, database or CSV file. However, in addition to be a very complicated task, Web Scraping is resource and time consuming, mainly when it is carried out manually. Previous studies have developed several automated solutions. The purpose of this article is to revisit the different existing Web Scraping approaches, categories, and tools, but also its areas of application.
Diouf et al. (Sun,) studied this question.