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One advantage of BS4 is its ability to automatically detect encodings. The good news is that you can swap out its parser with a faster one if you need the speed. It’s flexible and forgiving, but a little slow. A parser is simply a program that can extract data from HTML and XML documents.īeautiful Soup’s default parser comes from Python’s standard library. Covers practical topics like passing parameters, handling responses, and configuring headers.Īfter you have your ingredients, now what? Now you make them into a stew… a beautiful stew.īeautiful Soup (BS4) is a parsing library that can use different parsers. Requests Quickstart Guide – Official documentation.Plus, it’s got character… It’s the only library that calls itself Non-GMO, organic, and grass-fed. It can access API’s, post to forms, and much more. It’s so easy use that you could jump right in without reading documentation.įor example, if you want to pull down the contents of a page, it’s as easy as:īut that’s not all that Requests can do.
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Its simplicity is definitely its greatest strength. We call it The Farm because you’ll be using it to get the raw ingredients (i.e. It’s a simple yet powerful HTTP library, which means you can use it to access web pages. The Requests library is vital to add to your data science toolkit. Learn Scrapy if you need to build a real spider or web-crawler, instead of just scraping a few pages here and there.īecause they are yummy! So without further ado….Learn Selenium if you need to scrape sites with data tucked away by JavaScript.Pick depending on which is more intuitive for you (more on this below). You should learn at least one of BeautifulSoup or lxml.No, but everyone will need Requests, because it’s how you communicate with websites.