Web Scraping Process Using Python
The process of web data scraping through python involves some resources. Libraries like BeautifulSoup, Pandas, MechanicalSoup, Selenium, and Lxmi are used for inputting and drawing outputs. The process starts with document loading from external websites. Then, parsing takes place that focuses on analyzing logical syntactic components. These all efforts are put to request APIs and then, capturing the data to extract and save on the server. This process requires an expert or programming expert who is experienced in using Python for scraping.
