Wikidata Identifier Extractor

A powerful Python library for extracting cross-platform media identifiers from Wikidata. Find IMDb, Trakt, TMDB, Rotten Tomatoes IDs and more for movies, TV shows, and episodes.

Features

✨ Cross-Platform Mapping: Get identifiers for IMDb, Trakt, TMDB, Rotten Tomatoes, and more
🔗 Relationship Data: Automatically fetch sequels, prequels, and series information
💾 Built-in Caching: Efficient caching to minimize API calls
🆓 No API Keys Required: Uses Wikidata's free SPARQL endpoint
📊 Comprehensive Coverage: Access millions of movies, TV shows, and episodes
🔄 Automatic URL Generation: Get ready-to-use URLs for all platforms

Installation

pip install wikidata-identifier-extractor

Quick Start

from wikidata_identifier_extractor import WikidataIdentifierExtractor

# Initialize the extractor
extractor = WikidataIdentifierExtractor()

# Search by IMDb ID
result = extractor.get_identifiers(imdb_id="tt1375666")

print(f"Title: {result['title']}")           # Inception
print(f"Trakt: {result['trakt']}")           # movies/inception-2010
print(f"TMDB: {result['tmdb_movie']}")       # 27205
print(f"IMDb URL: {result['urls']['imdb']}")  # https://www.imdb.com/title/tt1375666

Usage Examples

Search by Trakt Slug

result = extractor.get_identifiers(trakt_slug="movies/inception-2010")

print(result['imdb'])          # tt1375666
print(result['wikidata_id'])   # Q25188

Get Movie Sequels/Prequels

# Lord of the Rings: The Two Towers
result = extractor.get_identifiers(imdb_id="tt0167261")

# Get previous movie
if result.get('follows'):
    print(result['follows']['title'])  # The Fellowship of the Ring
    print(result['follows']['imdb'])   # tt0120737

# Get next movie
if result.get('followed_by'):
    print(result['followed_by']['title'])  # The Return of the King
    print(result['followed_by']['imdb'])   # tt0167260

# Get series information
if result.get('series'):
    print(result['series']['title'])  # The Lord of the Rings trilogy

Disable Relation Fetching

For faster queries when you don't need related items:

result = extractor.get_identifiers(
    imdb_id="tt0167261",
    fetch_relations=False  # Skip fetching series/follows/followed_by
)

Response Structure

{
    'wikidata_id': 'Q25188',
    'title': 'Inception',
    'imdb': 'tt1375666',
    'trakt': 'movies/inception-2010',
    'trakt_film': 'inception-2010',
    'tmdb_movie': '27205',
    'rotten_tomatoes': 'm/inception',
    'google_kg': '/g/11b6vxwpkm',
    'fandom_wiki': 'inception',
    'part_of_series_id': None,
    'follows_id': None,
    'followed_by_id': None,
    'urls': {
        'wikidata': 'https://www.wikidata.org/wiki/Q25188',
        'imdb': 'https://www.imdb.com/title/tt1375666',
        'trakt': 'https://trakt.tv/movies/inception-2010',
        'tmdb_movie': 'https://www.themoviedb.org/movie/27205',
        # ... more URLs
    },
    'series': None,        # Populated if part of a series
    'follows': None,       # Populated if there's a previous item
    'followed_by': None    # Populated if there's a next item
}

Supported Identifiers

Platform	Property	Example
Wikidata	wikidata_id	Q25188
IMDb	imdb	tt1375666
Trakt.tv	trakt	movies/inception-2010
Trakt Film	trakt_film	inception-2010
TMDB Movie	tmdb_movie	27205
TMDB Series	tmdb_series	1399
TMDB Episode	tmdb_episode	63056
Rotten Tomatoes	rotten_tomatoes	m/inception
Fandom Wiki	fandom_wiki	lotr
Google Knowledge Graph	google_kg	/g/11b6vxwpkm

Advanced Usage

Batch Processing

def process_multiple_movies(imdb_ids):
    extractor = WikidataIdentifierExtractor()
    results = []
    
    for imdb_id in imdb_ids:
        result = extractor.get_identifiers(imdb_id=imdb_id)
        if result:
            results.append(result)
    
    return results

movies = ["tt1375666", "tt0468569", "tt0816692"]
results = process_multiple_movies(movies)

Error Handling

try:
    result = extractor.get_identifiers(imdb_id="tt1375666")
    if result:
        print(f"Found: {result['title']}")
    else:
        print("No results found")
except Exception as e:
    print(f"Error: {e}")

How It Works

This library uses Wikidata's SPARQL endpoint to query structured data about media content. Wikidata is a free, collaborative knowledge base that links various platform-specific identifiers together.

Key Benefits:

• 🆓 Free and open - no API keys required
• 🌐 Community-maintained and constantly updated
• 🔗 Comprehensive cross-platform linking
• 📈 Covers millions of movies, TV shows, and episodes

Performance

• Caching: Built-in memory cache prevents redundant API calls
• Configurable Depth: Control relationship fetching to balance speed vs data completeness
• Rate Limiting Friendly: Respectful of Wikidata's SPARQL endpoint limits

Requirements

• Python 3.7+
• requests >= 2.25.0

Documentation

Full documentation is available in the docs folder:

• Complete Guide: Detailed usage examples and API reference
• SPARQL Tutorial: Learn how to modify and extend queries
• Contributing: How to contribute to the project

Development

# Clone the repository
git clone https://github.com/wa8eem/wikidata-identifier-extractor.git
cd wikidata-identifier-extractor

# Install in development mode
pip install -e ".[dev]"

# Run tests
pytest

# Format code
black .

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Wikidata for providing free access to structured data
• The Wikidata community for maintaining and updating the database

Support

• 📫 Issues: GitHub Issues
• 📖 Documentation: Full Guide
• 💬 Discussions: GitHub Discussions

Changelog

See CHANGELOG.md for a list of changes in each version.

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Made with ❤️ using Wikidata