imdbinfo 0.8.4

A Python service for querying IMDb data

imdbinfo

Your personal gateway to IMDb data. Search for movies, series and people and get structured information in seconds.

Features

• 🔍 Search movies, series, miniseries and people by name or title
• 🎬 Detailed movie info including cast, crew, ratings and more
• 👥 Detailed person info with biography, filmography and images
• 📺 TV series and miniseries support with seasons and episodes
• 🌐 Localized results in multiple languages (set globally or per request)
• 📅 Release dates and box office information
• 🌍 International titles and alternate titles (AKAs) via get_akas
• 📸 Poster images and backdrops
• 📊 Ratings from IMDb and other sources
• 📝 User reviews and ratings via get_reviews
• 🎭 Movie trivia and interesting facts via get_trivia
• 🗂️ Full filmography for actors, directors and writers via get_filmography
• 🛡️ Parental guide including content advisories via get_parental_guide
• 📝 Typed Pydantic models for predictable responses
• ⚡ Built-in caching for faster repeated requests
• ✅ No API keys required

Installation

pip install imdbinfo

Quick Start

from imdbinfo import search_title, get_movie, get_name, get_season_episodes, get_reviews, get_trivia

# Search for a title
results = search_title("The Matrix")
for movie in results.titles:
    print(f"{movie.title} ({movie.year}) - Rating: {movie.rating} - {movie.imdb_id}")

# Get movie details
movie = get_movie("0133093")  # or 'tt0133093'
print(movie.title, movie.year, movie.rating)

# Get movie kind:
print(movie.kind)  # movie, tvSeries, tvMiniSeries, tvMovie, tvEpisode, tvSpecial, tvShort, short, videoGame, video, musicVideo, podcastEpisode, podcastSeries
print(movie.is_series())  # False

# Get person details
person = get_name("nm0000206")  # or '0000206' 
print(person.name, person.birth_date)

Working with Series and Episodes

The movie object provides helpful methods to identify its type:

• movie.is_series() — Returns True if the movie is a series.
• movie.is_episode() — Returns True if the movie is an episode.

Depending on the type, you can access additional information:

• For series: use movie.info_series to get series details (creators, seasons, episodes, ...)
• For episodes: use movie.info_episode to get episode details

Example: Working with Series and Episodes

from imdbinfo import get_movie, get_season_episodes

# Fetch a TV series as a Movie object
walking_dead_serie = get_movie("tt1520211")  # Walking Dead

# Check if the object is a series
print(walking_dead_serie.is_series())  # True

# Access series-specific information
print(f"Series Info: {walking_dead_serie.info_series}")

# Retrieve episodes for the series season 1
walking_dead_episodes = get_season_episodes(walking_dead_serie.imdb_id, season=1)

# Print details for the first 3 episodes from the season 1
for episode_info in walking_dead_episodes[:3]:
    print(episode_info)

# Fetch a single episode as a Movie object and check its type
episode_detail = get_movie(episode_info.imdb_id)
print("Is Episode:", episode_detail.is_episode())  # True

# Access episode-specific information: series imdbid, season and episode number ...
print(f"Episode Info: {episode_detail.info_episode}")

All episodes in a series

You can now retrieve all episodes in a series with a single call:

from imdbinfo import get_all_episodes
# Fetch all episodes for a series
all_episodes = get_all_episodes("tt1520211")  # Walking Dead
for episode in all_episodes:
    print(f"Title: {episode.title} - ({episode.imdbId})")
    print(f"Plot: {episode.plot[:100]}...")
    print(f"Release Date: {episode.release_date}")
    print(f"Rating: {episode.rating}")
    print(f"Duration: {episode.duration/60}min")
    print("" + "="*50)

Company Credits

• distribution companies,
• production companies,
• sales companies,
• special effects companies,
• miscellaneous companies

You can now extract information about the companies involved in a movie or series:

from imdbinfo import get_movie

movie = get_movie("tt0133093")  # The Matrix

# Distribution companies
for company in movie.company_credits["distribution"]:
    print(f"Distribution: {company.name} ({company.country})")

# Sales companies
for company in movie.company_credits["sales"]:
    print(f"Sales: {company.name}")

# Production companies
for company in movie.company_credits["production"]:
    print(f"Production: {company.name}")

# Special effects companies
for company in movie.company_credits["specialEffects"]:
    print(f"Special Effects: {company.name}")

# Miscellaneous companies
for company in movie.company_credits["miscellaneous"]:
    print(f"Miscellaneous: {company.name}")

Alternate titles (AKAs)

Fetch international and alternate titles for any movie or series:

from imdbinfo import get_akas
akas = get_akas("tt0133093")  # The Matrix
for aka in akas["akas"][:5]:
    print(f"{aka.title} ({aka.country_name})")

Reviews and User Ratings

Get user reviews and ratings for any movie or series:

from imdbinfo import get_reviews
reviews = get_reviews("tt0133093")  # The Matrix
for review in reviews[:3]:
    print(f"Rating: {review['authorRating']}/10")
    print(f"Summary: {review['summary']}")
    print(f"Helpful votes: {review['upVotes']} up, {review['downVotes']} down")
    print(f"Spoiler: {review['spoiler']}")
    print("---")

Movie Trivia and Facts

Discover interesting trivia and behind-the-scenes facts:

from imdbinfo import get_trivia
trivia = get_trivia("tt0133093")  # The Matrix
for fact in trivia[:3]:
    print(f"Interest Score: {fact['interestScore']}")
    print(f"Fact: {fact['body'][:200]}...")
    print("---")

Parental Guide

Get parental guide information including content advisories, severity level, spoiler flags, and content descriptions:

from imdbinfo import get_parental_guide

pg = get_parental_guide("tt0133093")  # The Matrix
for cat in pg.categories:
    print(cat)  # e.g. NUDITY - MILD (6 descriptions)
    for txt in cat.category_texts_list(spolier=True):
        print(f" - {txt.text} (SPOILER: {txt.is_spoiler})")

Awards

The package groups award-related counts in the MovieDetail.awards object (an AwardInfo instance). The model currently exposes:

• wins — number of award wins
• nominations — number of nominations (excluding wins)
• prestigious_award — optional dict containing details of a prestigious award (may include wins and nominations keys)

Example showing how to safely read MovieDetail.awards using the current model shape:

from imdbinfo import get_movie

movie = get_movie("tt0133093")  # The Matrix
aw = movie.awards
if not aw:
    print("No award information available for this title")
else:
    # basic counts
    print("wins:", aw.wins)
    print("nominations:", aw.nominations)

    # prestigious award (may be None or a dict)
    if aw.prestigious_award:
        pa = aw.prestigious_award
        print("prestigious wins:", pa.get("wins"))
        print("prestigious nominations:", pa.get("nominations"))
    else:
        print("No prestigious award summary available")

Notes:

• The JSON parser maps page data into movie.awards (a dict turned into an AwardInfo instance). Depending on the source data, prestigious_award can be None or a dict with wins and nominations.
• Use if movie.awards: to check presence before reading attributes.

Localized results in multiple languages (set globally or per request)

Added support for locales in search_movie, get_movie, get_episodes, get_all_episodes, get_name

from imdbinfo import get_movie, search_title
# Fetch movie details in Italian
movie_it = get_movie("tt0133093", locale="it")  # The Matrix

# Search for titles in Spanish (although IMDb search is mostly in all languages)
results_es = search_title("La Casa de Papel", locale="es")

Localized data can be set globally, dont need to pass locale every time in the functions:

from imdbinfo import get_movie
from imdbinfo.locale import set_locale
set_locale("it")  # Set default locale to Italian
movie_it = get_movie("tt0133093")  # The Matrix in Italian

MovieInfoBrief.title_localized

The MovieInfoBrief object (e.g., items in results.titles from search_title) now includes the title_localized property. This property contains the title in the requested locale, if available, and falls back to the default title when a localized version is not present.

Example:

from imdbinfo import search_title

# Search for a title with a specific locale
results = search_title("The Matrix", locale="it")
for item in results.titles:
    # Print the localized title if available, otherwise the default title
    print(item.title, "->", getattr(item, "title_localized", item.title))

Filtering results based on type (e.g. Movies, Series, Episodes etc.) 🔽

You can filter results from search_title, done server-side.

from imdbinfo import search_title, TitleType

# Search for single type: movies
results = search_title("The Matrix", title_type=TitleType.Movies)
for movie in results.titles:
    print(f"{movie.title} ({movie.year}) - {movie.imdb_id}")

# Search for multiple types: movies, shorts and videos.
results = search_title("The Matrix", title_type=(TitleType.Movies, TitleType.Shorts, TitleType.Video))
for movie in results.titles:
    print(f"{movie.title} ({movie.year}) - {movie.imdb_id}")

Get filmography with images 🎬🖼️

You can now get filmography for actors, directors and writers and all credits with images:

from imdbinfo import get_filmography

filmography = get_filmography("nm0000206")  # Brad Pitt
if filmography:
    for role, films in filmography.items():
        print(f"\nRole: {role}")
        for film in films:
            print(f" - {film.title} ({film.year}) [{film.imdbId}]")

Get all interests for a title

Fetch all interests for a title using the provided IMDb ID. Most time it returns the same as genres. It requires a new request and parsing. Use it only if you really need it.

from imdbinfo import get_all_interests

movies = ["tt1490017", "tt0133093"]

for imdb_id in movies:
    interests = get_all_interests(imdb_id)
    print(f"Interests for {imdb_id}: {interests}")

📝 For more examples see the examples folder.

💡 Looking for a ready-to-use API based on this package? Check out qdMovieAPI — a fast and simple way to access IMDb data via REST!

Why choose imdbinfo?

• Easy to use Python API
• Returns clean structured data
• Powered by niquests and lxml
• Uses Pydantic for type safety
• No external dependencies or API keys required
• Ideal for quick scripts and data analysis

Disclaimer

This project and its authors are not affiliated in any way with IMDb Inc. or its affiliates. For more information, please refer to the DISCLAIMER file.

Contributing

Contributions are welcome! Open an issue or pull request on GitHub.

If you find this project useful, please consider giving it a ⭐ on GitHub!

Please read our Contributing Guidelines and Code of Conduct before contributing.

License

imdbinfo is released under the MIT License. See the LICENSE file for details.