Note: Beautiful Soup is optimized mostly to work with static websites and comparatively getting smaller amount of data. You can find this on inspecting your website and point the exact element you want in your output. (Note: There can be multiple combination of calling css selectors)Įvery time, you extract a value it shall then append in your empty list. Here ‘h3’ is an html element which has a certain class value. Our final data is then stored in variable brand name where we use content.find_all() function.We fetch our actual content with Beautiful Soup library which takes req as an argument, here html.parser serves as the basis for parsing text files formatted in HTML.We then request for content in that website (requests.get()).This crawling run for website which we store in variable url by appending next page number in a continuous loop (url).For crawling we use a for loop where we give range of number of pages.Declare a variable that give you number of pages you want to crawl for scraping (pagenum).Create an empty list where you want your brands to go. (BrandList = ).Use feature library to scrap data (from bs4 import BeautifulSoup).
You can implement the above code and get your desired list of brands in CSV file. Requirement: Scrap the list of brands from a website. Well, here’s a quick savior example for you. If you are a part of data industry where you are providing powerful solutions to your client and randomly there is an urgent need to scrap the data from a website, provided you have no prior experience in related technology.
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