![]() The requests module allows you to send HTTP requests using Python. We will be using Python 3.8 + BeautifulSoup 4 for web scraping. This classroom consists of 7 labs, and you'll solve a lab in each part of this blog post. In this classroom, you'll be using this page to test web scraping: This will be a practical hands-on learning exercise on codedamn, similar to how you learn on freeCodeCamp. If you want to code along, you can use this free codedamn classroom that consists of multiple labs to help you learn web scraping. Introduction to Web Scraping classroom Preview of codedamn classroom Just make sure to check before you scrape. Many companies do not allow scraping on their websites, so this is a good way to learn. Note: We will be scraping a webpage that I host, so we can safely learn scraping on it. We'll also work through a complete hands-on classroom guide as we proceed. In this article, we will cover how to use Python for web scraping. And one exciting use-case of Python is Web Scraping. Python is used for a number of things, from data analysis to server programming. It has a great package ecosystem, there's much less noise than you'll find in other languages, and it is super easy to use. Python is a beautiful language to code in. ![]()
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