rottentomatoes-python 0.3.1

Scrapes Rotten Tomatoes's website for basic information on movies, without the use of their hard-to-attain official REST API.

Rotten Tomatoes in Python

This package allows you to easily fetch Rotten Tomatoes scores and other movie data such as genres, without the use of the official Rotten Tomatoes API. The package scrapes their website for the data. I built this because unfortunately, to get access to their API, you have to submit a special request which takes an inordinate amount of time to process, or doesn't go through at all.

Usage

You can either call the standalone functions tomatometer, audience_score, genres, etc., or use the Movie class to only pass the name and have each attribute be fetched automatically. If you use the Movie class, you can print all attributes by printing the object itself, or by accessing each attribute individually.

The weighted score is calculated using the formula $\frac{2}{3}(tomatometer) + \frac{1}{3}(audience)$. The result is then rounded to the nearest integer.

Basic usage examples:

import rottentomatoes_python as rt

print(rt.tomatometer("happy gilmore"))
# Output: 61
# Type: int

print(rt.audience_score('top gun maverick'))
# Output: 99
# Type: int

print(rt.rating('everything everywhere all at once'))
# Output: R
# Type: str

print(rt.genres('top gun'))
# Output: ['Action', 'Adventure']
# Type: list[str]

print(rt.weighted_score('happy gilmore'))
# Output: 69
# Type: int

print(rt.year_released('happy gilmore'))
# Output: 1996
# Type: str

# --- Using the Movie class ---
movie = rt.Movie('top gun')
print(movie)
# Output
    # Top Gun, PG, 1h 49m.
    # Released in 1986.
    # Tomatometer: 58
    # Weighted score: 66
    # Audience Score: 83
    # Genres - ['Action', 'Adventure']
# Type: str

print(movie.weighted_score)
# Output: 66
# Type: int

Exceptions

If you're using this package within a larger program, it's useful to know what exceptions are raised (and when) so they can be caught and handled.

LookupError

When any call is made to scrape the Rotten Tomatoes website (Tomatometer, Audience Score, Genres, etc.), if a proper movie page wasn't returned (can be due to a typo in name entry, duplicate movie names, etc.), a LookupError is raised, printing the attempted query url.

Performance

v0.3.0 makes 19x more efficient that the previous release, v0.2.5. Data attained from scraping Rotten Tomatoes is temporarily cached and used to parse various other attributes. To test the performance difference, I used two separate virtual environments, old and venv. rottentomatoes-python==0.2.5 was installed on old, and rottentomatoes-python==0.3.0 was installed on venv. I then ran the same script, shown below, using each environment (Python 3.10.4).

import rottentomatoes as rt
from time import perf_counter


def test() -> None:
    start = perf_counter()
    movie = rt.Movie('top gun maverick')
    print('\n', movie, sep='')
    print(f"That took {perf_counter() - start} seconds.")


if __name__ == "__main__":
    test()

The results:

❯ deactivate && source old/bin/activate && python test.py

Top Gun Maverick, PG-13, 2h 11m.
Released in 2022.
Tomatometer: 97
Weighted score: 97
Audience Score: 99
Genres - ['Action', 'Adventure']

That took 6.506246249999094 seconds.
❯ deactivate && source venv/bin/activate && python test.py

Top Gun Maverick, PG-13, 2h 11m.
Released in 2022.
Tomatometer: 97
Weighted score: 97
Audience Score: 99
Genres - ['Action', 'Adventure']
Prominent actors: Tom Cruise, Miles Teller, Jennifer Connelly, Jon Hamm, Glen Powell.

That took 0.3400420409961953 seconds.