In yellow are the tags/parts of the code that we will be calling to get to the data we are trying to extract, which are in green. As you can see below, all of the info we need is in : Let’s look at the container we’re interested in. This part onwards is where the code will differ from the movie example. Html_soup = BeautifulSoup(response.text, 'html.parser') The html.parser argument indicates that we want to do the parsing using Python’s built-in HTML parser. Next, we’ll parse response.text by creating a BeautifulSoup object, and assign this object to html_soup. Use BeautifulSoup to parse the HTML content We can see that inside response is the html code of the webpage. Highlighted is the part that is the show’s ID and will be different for you if you’re not using Community.įirst, we will request from the server the content of the web page by using get(), and store the server’s response in the variable response and look at the first few lines. ![]() In this tutorial I will not be redundant in explaining what they already did 1 instead, I’ll be doing many similar steps, but they will be specifically for taking episode ratings (same for any TV series) instead of movie ratings.įirst, you’ll need to navigate to the series of your choice’s season 1 page that lists all of that season’s episodes. Identifying the URL structure and understanding the HTML structure of a single page, I’ve linked those parts and recommend you read them if you aren’t already familiar because I won’t be explaining them here. Since their tutorial already does a great job at explaining the basics of Tutorial by Alex Olteanu that explains in-depth how to scrape over 2000 movies from IMDb, and it was my reference as I learned how to scrape these episodes. If you want the code without the breakdown you can find it ![]() It’s catered mostly to beginners to web scraping since the steps are broken down. So for anyone wanting to do that, I’ve created this tutorial specifically for it. ![]() There are tons of tutorials out there that teach you how to scrape movie ratings from IMDb, but I haven’t seen any about scraping TV series episode ratings.
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