rotten-tomatoes-scraper 1.1.0

How to extract movie genres from Rotten Tomatoes website

Rotten Tomatoes Scraper

You can extract information about movies and actors that are listed on the Rotten Tomatoes website using this service. Each movie has different metadata such as Rating, Genre, Box Office, or Studio. Note that the Genre has 20+ subcategories that also gives you more granular information on a movie. These metadata can be helpful for many purposes; however, I could not find a clean API to provide you all these metadata. For an actor you can extract movies listed in highest-rated or filmography sections depending on your need. Finally, I used the BeautifulSoup package to parse HTML documents obtained by the HTTP request-response in this library.

Library

The library requires the following libraries:

• bs4
• re
• requests
• urllib

Install

It can be installed using pip:

pip install rotten_tomatoes_scraper

Usage

You can use this library to extract the complete list of movies that an actor played by calling extract_movies method and using section='filmography'. Plus, you can also extract the list of top ranked movies by using the same method and section='highest'.

from rotten_tomatoes_scraper.rt_scraper import RTScraper

rts = RTScraper()
movie_titles = rts.extract_movies('jack nicholson', section='highest')

print(movie_titles)
['Kubrick by Kubrick (Kubrick par Kubrick)', 'On a Clear Day You Can See Forever', 'The Shooting']

If you want to find out what movie genres an actor has played in, you can, first, extract the list of movies that he or she played in using extract_movies method. Then, you just need to feed in the list of movies to the extract_genre method to receive a dictionary that keys are movie genres and values are the number oof movies with that genre in which the actor played. You can easily use the code below.

from rotten_tomatoes_scraper.rt_scraper import RTScraper

rts = RTScraper()
movie_titles = rts.extract_movies('meryl streep', section='highest')
movie_genres = rts.extract_genre(movie_titles)

print(movie_genres)
{'Documentary': 2, 'Comedy': 1, 'ScienceFiction&Fantasy': 1, 'Drama': 1, 'Romance': 1}

This library doesn't give you a full access to all the metadata that you may find in Rotten Tomatoes website. However, you can easily use it to extract the most important ones.

And, that's pretty much it!