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Beautiful Soup now supports using the lxml parser, and vice-versa. If you need to handle messy documents, choose Beautiful Soup.Its raw speed and power has also helped it become widely adopted in the industry. It’s straightforward, fast, and feature-rich.Įven so, it’s quite easy to pick up if you have experience with either XPaths or CSS. We call it The Salad because you can rely on it to be good for you, no matter which diet you’re following.Īmong all the Python web scraping libraries, we’ve enjoyed using lxml the most. Lxml is a high-performance, production-quality HTML and XML parsing library. Really Short Example – Short example of using Beautiful Soup and Requests together.Beautiful Soup Documentation – Includes convenient quickstart guide.This charming simplicity has made it one of the most beloved Python web scraping libraries! For example, if you wanted to find all the links in the web page we pulled down earlier, it’s only a few lines: This makes it quick and painless to build common applications. In addition, BS4 can help you navigate a parsed document and find what you need. This allows it to gracefully handle HTML documents with special characters. 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.
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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. 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.
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