Once you have that piece of information, you can scrape that webpage using this method. How to Scrape a Webpage Using the ID and Class NameĪfter inspecting a website with the DevTools, it lets you know more about the id and class attributes holding each element in its DOM. For instance, the block of code below scrapes the content of a, h2, and title tags: from bs4 import BeautifulSoup However, you can also scrape more tags by passing a list of tags into the find_all method. All you need to do is replace the h2 tag with the one you like. You can use this method for any HTML tag. string method: from bs4 import BeautifulSoup However, you can get the content without loading the tag by using the. That block of code returns all h2 elements and their content. To load all the h2 elements, you can use the find_all built-in function and the for loop of Python: In the code snippet above, soup.h2 returns the first h2 element of the webpage and ignores the rest. To do this, you need to include the name of the target tag in your Beautiful Soup scraper request.įor example, let's see how you can get the content in the h2 tags of a webpage. You can also scrape the content in a particular tag with Beautiful Soup. How to Scrape the Content of a Webpage by the Tag Name text method: from bs4 import BeautifulSoup You can also get the pure content of a webpage without loading its element with the. You can try this out to see its output: from bs4 import BeautifulSoup You can also get a more aligned version of the DOM by using the prettify method. The code above returns the entire DOM of a webpage with its content. Soup = BeautifulSoup(ntent, 'html.parser') Take a look at this next code snippet to see how to do this with the HTML parser: from bs4 import BeautifulSoup Once you get the website with the get request, you then pass it across to Beautiful Soup, which can now read the content as HTML or XML files using its built-in XML or HTML parser, depending on your chosen format. Remember to always replace the website's URL in the parenthesis with your target URL. To make that library available for your scraper, run the pip install requests command via the terminal. To solve that problem, you need to get the URL of the target website with Python's request library before feeding it to Beautiful Soup. That means you can't pass a URL straight into it. It only works with ready-made HTML or XML files. However, if you're on Debian or Linux, the above command still works, but you can install it with the package manager by running apt-get install python3-bs4.īeautiful Soup doesn't scrape URLs directly. Beautiful Soup is available as a PyPi package for all operating systems, so you can install it with the pip install beautifulsoup4 command via the terminal. To get started, you must install the Beautiful Soup library in your virtual environment. Ensure that you create a Python virtual environment to isolate your project and its packages from the ones on your local machine. How to Install Beautiful Soup and Get Started With Itīefore we proceed, in this Beautiful Soup tutorial article, we'll use Python 3 and beautifulsoup4, the latest version of Beautiful Soup.
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