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DavidBouw/letterboxd_top_250.csv

Created July 11, 2021 01:08
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Automatically create an IMDB Top 250 or Letterboxd Top 250 collection in Plex using an existing movie library
Raw
letterboxd_top_250.csv
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Parasite Come and See The Godfather Harakiri The Godfather: Part II Seven Samurai 12 Angry Men A Dog's Will The Human Condition III: A Soldier's Prayer Spirited Away High and Low A Brighter Summer Day The Shawshank Redemption Yi Yi Portrait of a Lady on Fire Spider-Man: Into the Spider-Verse The Human Condition I: No Greater Love The Dark Knight GoodFellas Central Station Schindler's List The Empire Strikes Back Ikiru The Good, the Bad and the Ugly Stalker Satantango There Will Be Blood The Passion of Joan of Arc Persona City of God The Lord of the Rings: The Return of the King Sunset Boulevard Andrei Rublev Woman in the Dunes Neon Genesis Evangelion: The End of Evangelion Tokyo Story Apocalypse Now Ran In the Mood for Love Pulp Fiction The Handmaiden Paths of Glory The Human Condition II: Road to Eternity Grave of the Fireflies La Haine Do the Right Thing Whiplash 2001: A Space Odyssey Close-Up Rear Window Fanny and Alexander The World of Apu Paris, Texas Le Trou Princess Mononoke Psycho The Silence of the Lambs Scenes from a Marriage The Given Word Cinema Paradiso A Woman Under the Influence Autumn Sonata The Apartment Mishima: A Life in Four Chapters Sansho the Bailiff Once Upon a Time in the West Perfect Blue Pather Panchali The Shining The Lord of the Rings: The Fellowship of the Ring Before Sunrise Ordet Alien Eternity and a Day The Thing Oldboy It's Such a Beautiful Day Macario Before Sunset It's a Wonderful Life Mirror The Red Shoes City Lights One Flew Over the Cuckoo's Nest The Lord of the Rings: The Two Towers Barry Lyndon Werckmeister Harmonies Memories of Murder The Cranes Are Flying The Ascent The Seventh Seal Nights of Cabiria Late Spring No Country for Old Men 8½ M Inglourious Basterds The Battle of Algiers Singin' in the Rain Sherlock, Jr. War and Peace Love Exposure I Am Cuba The 400 Blows Bicycle Thieves Se7en A Man Escaped Fight Club Incendies Army of Shadows All About Eve Chungking Express The Best of Youth Lawrence of Arabia Taxi Driver Casablanca Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb The Second Mother A Separation Mommy Wild Strawberries Modern Times Children of Paradise Three Colors: Red Yojimbo Jeanne Dielman, 23, Quai du Commerce 1080 Bruxelles Napoleon Star Wars The Sacrifice Landscape in the Mist The Father The Night of the Hunter Citizen Kane The Lion King Red Beard A Special Day The Wages of Fear Fargo The Great Dictator La Dolce Vita Brief Encounter Funeral Parade of Roses Still Walking Tampopo Howl's Moving Castle Back to the Future Rocco and His Brothers Chinatown The Young Girls of Rochefort Aparajito The Third Man The Pianist The Big City Vertigo Children of Men To Be or Not to Be Wings of Desire Eternal Sunshine of the Spotless Mind We All Loved Each Other So Much Terminator 2: Judgment Day The Life and Death of Colonel Blimp Where Is My Friend's House? Moonlight Dog Day Afternoon Amadeus Once Upon a Time in America La Notte An Elephant Sitting Still Raging Bull Metropolis Your Name. Sunrise: A Song of Two Humans Coco An Autumn Afternoon Shoplifters Mulholland Drive Z Raise the Red Lantern Paper Moon Ugetsu The Young and the Damned Toy Story Nostalgia Il Sorpasso Sweet Smell of Success Make Way for Tomorrow A Matter of Life and Death Raiders of the Lost Ark My Neighbor Totoro Marketa Lazarová Akira The Departed Solaris The Grand Budapest Hotel Rashomon Double Indemnity Life Is Beautiful Throne of Blood The Treasure of the Sierra Madre Opening Night Witness for the Prosecution All That Jazz Minari Early Summer Inception Little Women Manila in the Claws of Light Umberto D. The Hunt Nobody Knows Rififi Mad Max: Fury Road A Moment of Innocence A Face in the Crowd Le Samouraï Once Upon a Time in Anatolia Paddington 2 Network Life, and Nothing More... A Clockwork Orange Ace in the Hole Boogie Nights Saving Private Ryan Winter Light The Iron Giant Rosemary's Baby Good Will Hunting Tokyo Twilight Get Out Taste of Cherry Cléo from 5 to 7 The Red Light Bandit Samurai Rebellion Grand Illusion Gangs of Wasseypur - Part 2 Pan's Labyrinth In a Lonely Place Underground Hope Time of the Gypsies Who's Afraid of Virginia Woolf? The Shop on Main Street The Face of Another Pixote Some Like It Hot Heat Eureka Invisible Life The Devils Kumbalangi Nights
2019 1985 1972 1962 1974 1954 1957 2000 1961 2001 1963 1991 1994 2000 2019 2018 1959 2008 1990 1998 1993 1980 1952 1966 1979 1994 2007 1928 1966 2002 2003 1950 1966 1964 1997 1953 1979 1985 2000 1994 2016 1957 1959 1988 1995 1989 2014 1968 1990 1954 1982 1959 1984 1960 1997 1960 1991 1974 1962 1988 1974 1978 1960 1985 1954 1968 1997 1955 1980 2001 1995 1955 1979 1998 1982 2003 2012 1960 2004 1946 1975 1948 1931 1975 2002 1975 2000 2003 1957 1977 1957 1957 1949 2007 1963 1931 2009 1966 1952 1924 1966 2008 1964 1959 1948 1995 1956 1999 2010 1969 1950 1994 2003 1962 1976 1942 1964 2015 2011 2014 1957 1936 1945 1994 1961 1975 1927 1977 1986 1988 2020 1955 1941 1994 1965 1977 1953 1996 1940 1960 1945 1969 2008 1985 2004 1985 1960 1974 1967 1956 1949 2002 1963 1958 2006 1942 1987 2004 1974 1991 1943 1987 2016 1975 1984 1984 1961 2018 1980 1927 2016 1927 2017 1962 2018 2001 1969 1991 1973 1953 1950 1995 1983 1962 1957 1937 1946 1981 1988 1967 1988 2006 1972 2014 1950 1944 1997 1957 1948 1977 1957 1979 2020 1951 2010 2019 1975 1952 2012 2004 1955 2015 1996 1957 1967 2011 2017 1976 1992 1971 1951 1997 1998 1963 1999 1968 1997 1957 2017 1997 1962 1968 1967 1937 2012 2006 1950 1995 2013 1988 1966 1965 1966 1981 1959 1995 2000 2019 1971 2019
Raw
plex_imdb_top_250_collection.py
#------------------------------------------------------------------------------
#
# Automated IMDB Top 250 Plex collection script inspired by /u/SwiftPanda16
# Set Secure Connections to Preferred or this will not work
# *** Use at your own risk! ***
# *** I am not responsible for damages to your Plex server or libraries. ***
#
#------------------------------------------------------------------------------
import json
import requests
import time
import shutil
import sys
import csv
import os
from lxml import html
from plexapi.server import PlexServer
### Plex server details ###
# Make sure that under Network settings you have Secure connections set to Preferred or Disabled
PLEX_URL = 'http://localhost:32400'
PLEX_TOKEN = 'xxxxxxxxxx'
### Existing movie library details ###
MOVIE_LIBRARY_NAME = 'Movies'
### New IMDB Top 250 library details ###
IMDB_CHART_URL = 'http://www.imdb.com/chart/top'
LETTERBOXD_CHART_URL = 'https://letterboxd.com/dave/list/official-top-250-narrative-feature-films/'
LETTERBOXD_URL = 'https://letterboxd.com'
IMDB_COLLECTION_NAME = 'IMDB Top 250'
LETTERBOXD_COLLECTION_NAME = 'Letterboxd Official Top 250 Narrative Feature Films'
### The Movie Database details ###
# Enter your TMDb API key if your movie library is using "The Movie Database" agent.
# This will be used to convert the TMDb IDs to IMDB IDs.
# You can leave this blank '' if your movie library is using the "Plex Movie" agent.
TMDB_API_KEY = ''
##### CODE BELOW #####
TMDB_REQUEST_COUNT = 0 # DO NOT CHANGE
def add_collection(library_key, rating_key, collection_name):
headers = {"X-Plex-Token": PLEX_TOKEN}
params = {"type": 1,
"id": rating_key,
"collection[0].tag.tag": collection_name,
"collection.locked": 1
}
url = "{base_url}/library/sections/{library}/all".format(base_url=PLEX_URL, library=library_key)
r = requests.put(url, headers=headers, params=params)
def remove_collection(library_key, rating_key, collection_name):
headers = {"X-Plex-Token": PLEX_TOKEN}
params = {"type": 1,
"id": rating_key,
"collection[].tag.tag-": collection_name
}
url = "{base_url}/library/sections/{library}/all".format(base_url=PLEX_URL, library=library_key)
r = requests.put(url, headers=headers, params=params)
def get_imdb_id_from_tmdb(tmdb_id):
global TMDB_REQUEST_COUNT
if not TMDB_API_KEY:
return None
# Wait 10 seconds for the TMDb rate limit
if TMDB_REQUEST_COUNT >= 40:
time.sleep(10)
TMDB_REQUEST_COUNT = 0
params = {"api_key": TMDB_API_KEY}
url = "https://api.themoviedb.org/3/movie/{tmdb_id}".format(tmdb_id=tmdb_id)
r = requests.get(url, params=params)
TMDB_REQUEST_COUNT += 1
if r.status_code == 200:
movie = json.loads(r.text)
return movie['imdb_id']
else:
return None
def get_imdb_id_from_letterboxd(url):
### Retrieve IMDB data from Letterboxd movie page ###
r = requests.get(url)
tree = html.fromstring(r.content)
movie_title = tree.xpath("//div[contains(@class, 'react-component film-poster')]/@data-film-name")[0]
movie_year = tree.xpath("//div[contains(@class, 'react-component film-poster')]/@data-film-release-year")[0]
try:
imdb_url = tree.xpath("//p[@class='text-link text-footer']//a[@data-track-action='IMDb']/@href")
imdb_id = imdb_url[0].rsplit('/', 2)[-2]
except:
# tmdb_url = tree.xpath("//p[@class='text-link text-footer']//a[@data-track-action='TMDb']/@href")
# tmdb_id = tmdb_url[0].rsplit('/', 2)[-2]
# Gangs of Wasseypur is one combined film on IMDB but is two separate on Letterboxd
if movie_title == "Gangs of Wasseypur - Part 2":
imdb_id = "tt1954470"
else:
imdb_id = 0
return movie_title,movie_year,imdb_id
def letterboxd_top_250(library_language):
### Get the Letterboxd Top 250 List ###
print("Retrieving the Letterboxd Official Top 250 Narrative Feature Films list...")
os.chdir(os.path.dirname(os.path.abspath(__file__)))
top_250_titles,top_250_years,top_250_ids = [],[],[]
if os.path.isfile('top_250.csv'):
refresh = input("Stored Letterboxd Top 250 exists. Do you want to force a refresh? (y/n): ")
if refresh == 'n':
csv_read_data = {}
with open('top_250.csv', 'r') as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',')
for i, row in enumerate(csv_reader):
csv_read_data[i] = row
top_250_ids = csv_read_data[0]
top_250_titles = csv_read_data[1]
top_250_years = csv_read_data[2]
if refresh == 'y' or not os.path.isfile('top_250.csv'):
print("Please be patient. This will take longer than creating the IMDB Top 250 list.")
print()
page_number = 1
indicator = True
while indicator:
r = requests.get(LETTERBOXD_CHART_URL + 'page/{}'.format(page_number), headers={'Accept-Language': library_language})
tree = html.fromstring(r.content)
# http://stackoverflow.com/questions/35101944/empty-list-is-returned-from-imdb-using-python-lxml
# https://www.w3schools.com/html/default.asp
# https://www.w3schools.com/xml/xpath_syntax.asp
# https://stackoverflow.com/questions/4531995/getting-attribute-using-xpath
top_250_letterboxd_url = tree.xpath("//ul[contains(@class, 'poster-list -p125 -grid film-list')]//div[@class='poster film-poster really-lazy-load']/@data-target-link")
if top_250_letterboxd_url:
for url in top_250_letterboxd_url:
# print(url)
title,year,imdb_id = get_imdb_id_from_letterboxd(LETTERBOXD_URL + url)
top_250_titles.append(title)
top_250_years.append(year)
top_250_ids.append(imdb_id)
page_number += 1
else:
indicator = False
with open('top_250.csv', 'w') as csv_file:
csv_writer = csv.writer(csv_file, delimiter=',')
csv_writer.writerow(top_250_ids)
csv_writer.writerow(top_250_titles)
csv_writer.writerow(top_250_years)
return top_250_ids, top_250_titles, top_250_years
def imdb_top_250(library_language):
### Get the IMDB Top 250 List ###
print("Retrieving the IMDB Top 250 list...")
r = requests.get(IMDB_CHART_URL, headers={'Accept-Language': library_language})
tree = html.fromstring(r.content)
# http://stackoverflow.com/questions/35101944/empty-list-is-returned-from-imdb-using-python-lxml
top_250_titles = tree.xpath("//table[contains(@class, 'chart')]//td[@class='titleColumn']/a/text()")
top_250_years = tree.xpath("//table[contains(@class, 'chart')]//td[@class='titleColumn']/span/text()")
top_250_ids = tree.xpath("//table[contains(@class, 'chart')]//td[@class='ratingColumn']/div//@data-titleid")
return top_250_ids, top_250_titles, top_250_years
def plex_movie_list():
### Create PlexServer object and list of movies ###
try:
plex = PlexServer(PLEX_URL, PLEX_TOKEN)
except Exception as e:
# print(e)
print("No Plex server found at: {base_url}".format(base_url=PLEX_URL))
print("Exiting script.")
sys.exit()
print("Retrieving a list of movies from the '{library}' library in Plex...".format(library=MOVIE_LIBRARY_NAME))
try:
movie_library = plex.library.section(MOVIE_LIBRARY_NAME)
movie_library_key = movie_library.key
library_language = movie_library.language
all_movies = movie_library.all()
return movie_library, movie_library_key, library_language, all_movies
except:
print("The '{library}' library does not exist in Plex.".format(library=MOVIE_LIBRARY_NAME))
print("Exiting script.")
sys.exit()
def imdb_id_mapping(all_movies):
### Create a dictionary consisting of {imdb_id: movie} pairs for the Plex library. ###
plex_library_imdb_ids = []
imdb_map = {}
for m in all_movies:
if 'imdb://' in m.guid:
imdb_id = m.guid.split('imdb://')[1].split('?')[0]
elif 'themoviedb://' in m.guid:
tmdb_id = m.guid.split('themoviedb://')[1].split('?')[0]
imdb_id = get_imdb_id_from_tmdb(tmdb_id)
else:
imdb_id = None
if imdb_id:
plex_library_imdb_ids.append(imdb_id)
imdb_map[imdb_id] = m
return plex_library_imdb_ids, imdb_map
def set_collection(top_250_ids, imdb_map, movie_library_key, collection_name):
### Create the plex collection ###
print("Setting the collection for the '{}' library...".format(MOVIE_LIBRARY_NAME))
in_library_idx = []
for i, imdb_id in enumerate(top_250_ids):
movie = imdb_map.pop(imdb_id, None)
if movie:
add_collection(movie_library_key, movie.ratingKey, collection_name)
in_library_idx.append(i)
for movie in imdb_map.values():
remove_collection(movie_library_key, movie.ratingKey, collection_name)
return in_library_idx
def get_found_missing_list(top_250_ids, top_250_titles, top_250_years, in_library_idx):
# Get list of missing IMDB Top 250 movies
missing_top_250 = [(idx, imdb) for idx, imdb in enumerate(zip(top_250_ids, top_250_titles, top_250_years))
if idx not in in_library_idx]
# Get list of found IMDB Top 250 movies
found_top_250 = [(idx, imdb) for idx, imdb in enumerate(zip(top_250_ids, top_250_titles, top_250_years))
if idx in in_library_idx]
return missing_top_250, found_top_250, len(top_250_ids)
def print_results(missing_top_250, found_top_250, list_count):
columns, _ = shutil.get_terminal_size(fallback=(80, 24))
print("="*columns)
print("\nNumber of Top 250 movies in the library: {count}".format(count=list_count-len(missing_top_250)))
print("Number of missing Top 250 movies: {count}".format(count=len(missing_top_250)))
print("\nList of found Top 250 movies:\n")
for idx, (imdb_id, title, year) in found_top_250:
print("{idx}\t{imdb_id}\t{title} {year}".format(idx=idx+1, imdb_id=imdb_id, title=title, year=year))
print("\nList of missing Top 250 movies:\n")
for idx, (imdb_id, title, year) in missing_top_250:
print("{idx}\t{imdb_id}\t{title} {year}".format(idx=idx+1, imdb_id=imdb_id, title=title, year=year))
# def metacritic_score(imdb_id, session):
# r = session.get("https://www.imdb.com/title/{}/criticreviews".format(imdb_id))
# tree = html.fromstring(r.content)
# metacritic_score = tree.xpath("//div[@class = 'metascore_block']//span[@itemprop = 'ratingValue']/text()")
# if metacritic_score:
# metacritic_score = int(metacritic_score[0])
# else:
# metacritic_score = "None"
# return metacritic_score
# def run_metacritic_score():
# cutoff_threshold = int(input("What score ceiling do you want? (Hint: 101 will include all scores) "))
# plex_library_metacritic_scores = {}
# movie_library, movie_library_key, library_language, all_movies = plex_movie_list()
# plex_library_imdb_ids, imdb_map = imdb_id_mapping(all_movies)
# session = requests.Session()
# for imdb_id in plex_library_imdb_ids:
# plex_library_metacritic_scores[imdb_id] = metacritic_score(imdb_id, session)
# if plex_library_metacritic_scores[imdb_id] != "None" and plex_library_metacritic_scores[imdb_id] <= cutoff_threshold:
# print(imdb_map[imdb_id].title, plex_library_metacritic_scores[imdb_id])
def run_imdb_top_250():
movie_library, movie_library_key, library_language, all_movies = plex_movie_list()
top_250_ids, top_250_titles, top_250_years = imdb_top_250(library_language)
plex_library_imdb_ids, imdb_map = imdb_id_mapping(all_movies)
in_library_idx = set_collection(top_250_ids, imdb_map, movie_library_key, IMDB_COLLECTION_NAME)
missing_top_250, found_top_250, list_count = get_found_missing_list(top_250_ids, top_250_titles, top_250_years, in_library_idx)
print_results(missing_top_250, found_top_250, list_count)
def run_letterboxd_top_250():
movie_library, movie_library_key, library_language, all_movies = plex_movie_list()
top_250_ids, top_250_titles, top_250_years = letterboxd_top_250(library_language)
plex_library_imdb_ids, imdb_map = imdb_id_mapping(all_movies)
in_library_idx = set_collection(top_250_ids, imdb_map, movie_library_key, LETTERBOXD_COLLECTION_NAME)
missing_top_250, found_top_250, list_count = get_found_missing_list(top_250_ids, top_250_titles, top_250_years, in_library_idx)
print_results(missing_top_250, found_top_250, list_count)
def run_crossover_top_250():
movie_library, movie_library_key, library_language, all_movies = plex_movie_list()
top_250_ids, top_250_titles, top_250_years = imdb_top_250(library_language)
top_250_ids_two, top_250_titles_two, top_250_years_two = letterboxd_top_250(library_language)
top_250_ids_crossover = set(top_250_ids) & set(top_250_ids_two)
plex_library_imdb_ids, imdb_map = imdb_id_mapping(all_movies)
in_library_idx = set_collection(top_250_ids_crossover, imdb_map, movie_library_key, "IMDB & Letterboxd Top 250 Crossover")
if __name__ == "__main__":
columns, rows = shutil.get_terminal_size(fallback=(80, 24))
print("="*columns)
print("Automated Plex collection script".center(columns))
print("="*columns)
menu = {}
menu['1'] = ". IMDB Top 250"
menu['2'] = ". Letterboxd Top 250"
menu['3'] = ". IMDB Top 250 & Letterboxd Top 250"
menu['4'] = ". Quit"
options = menu.keys()
for entry in options:
print("{}{}".format(entry,menu[entry]))
selection = input("Please select an option: ")
if selection == '1':
print()
run_imdb_top_250()
elif selection == '2':
print()
run_letterboxd_top_250()
elif selection == '3':
print()
run_crossover_top_250()
else:
print()
print("Unknown Option Selected!")
print("="*columns)
print("Done".center(columns))
print("="*columns)
input("Press Enter to finish...")
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