![]() ![]() # Request from the server the content of the web page by using get(), and store the server’s response in the variable response # For every season in the series- range depends on the show # Initializing the series that the loop will populate The comments in the code explain each step. The output will be a list that we will make into a pandas DataFrame. For the per season loop, you’ll have to adjust the range() depending on how many seasons are in the show you’re scraping. Now that we know how to get each variable, we need to iterate for each episode and each season. However, he tries to use the skills he learned as a lawyer to get the answers to all his tests and pick up on a sexy woman in his Spanish class.' 'An ex-lawyer is forced to return to community college to get a degree. episode_containers.find('div', class_='item_description').text.strip() episode_containers.find('span', class_='ipl-rating-star_total-votes').textįor the description, we do the same thing we did for the airdate and just change the class. It is the same thing for the total votes, except it’s under a different class. episode_containers.find('div', class_='ipl-rating-star_rating').text The rating is is in the tag with the class ipl-rating-star_rating, which also use the text attribute to get the contents of. episode_containers.find('div', class_='airdate').text.strip() episode_taĪirdate is in the tag with the class airdate, and we can get its contents the text attribute, afterwhich we strip() it to remove whitespace. The episode number in the tag, under the content attribute. After the first couple of variables, you will understand the structure of calling the contents of the html containers.įor the title we will need to call title attribute from the tag. Here we’ll see how we can extract the data from the episode_containters for each episode.Įpisode_containters calls the first instance of, i.e. This part of the DataQuest article to understand how calling the tags works. episode_containers = html_soup.find_all('div', class_='info')įind_all() returned a ResultSet object – episode_containers– which is a list containing all of the 25 s. We will grab all of the instances of from the page there is one for each episode. 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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