If the td children don’t exist we skip over this item. I then loop over all the trs and find all the td children. We then do a find_all on all the tr tags. We then instantiate the BeautifulSoup parser with our html data. We are loading up the html with a basic file read in python. Your output should look something like this. Then displaying all the names in the tags. Let’s now try do something a little more complicated like grabbing all the tr tags. This is how the output will look if you run it. This very basic bit of code will grab the title tag text from our index.html document. Soup = BeautifulSoup(data, 'html.parser') Here is the code we going to use to get some info from our index.html file. Create a new python script called: scrape.py. So go ahead and paste this into your favorite editor and save it as index.html. So here is an HTML example we will work with to just start with. Beautifulsoup: HTML page python web scraping / parsing If that worked for you then great you are installed! Let us now start with the most basic example. Run a python terminal and import beautifulsoup like this. Run this to install on linux/mac/windows: pip install beautifulsoup4 This should now activate your virtual environment like this and we can now install beautifulsoup. Where bsenv will be the folder where our virtual environment will be. If on mac or linux open up a terminal and execute the following commands. So if you are on windows open a powershell or cmd prompt. Let us create a virtual environment for our project. So here we go: Python beautifulsoup: installation If you are using windows, mac, Linux the procedure should be very similar. So for this we will need to create a virtual environment. Before we can get started let us start by installing beautifulsoup. Then you can actually decide which is the best for your particular project or use case. There will later on be a tutorial on scrapy as well. However it is good to note that there are other options such as python scrapy as well. If you are looking for something which can help you navigate pages.Īlso be able to crawl websites then beautiful soup won’t do that on it’s own. It mainly is a wrapper for a parse which makes it more intuitive and simpler to extract data from markup like HTML and XML. It is important to note that beautiful soup isn’t the silver bullet in web scraping. We will be using a python library called beautifulsoup for our web scraping project. Since this is a web scraping tutorial we will mainly be focusing on the scraping portion and only very little be touching on the data processing side of the tutorial. In this python web scraping tutorial, we will scrape the worldometer website for some data on the pandemic. Use what you learn in this tutorial only to do ethical scraping. Web scraping is a bit of a dark art in the sense, that with great power comes great responsibility.
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