🎬 imdby

imdby is a Python package designed to retrieve and manage data from the IMDb database — including information about movies, people, characters, companies, events, and news.

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🔗 Project Links

| Resource | Link | | ---------------- | -------------------------------------------------------- | | 🐍 PyPI | imdby on PyPI | | 🛠 Repository | GitHub Repo | | 📚 Documentation | imdby Docs |

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🚀 Features

• Retrieve and manage comprehensive IMDb data: movies, people, characters, companies, and more.
• Perform sentiment analysis on IMDb user reviews using VADER and TextBlob.
• Compatible with Python 3 (and backward-compatible with Python 2.7).
• Platform-independent and supports both web scraping and local database querying.
• Clean and easy-to-use API.

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📦 Dependencies

• beautifulsoup4
• selenium
• chromedriver-binary
• vaderSentiment
• textblob
• pandas

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📥 Installation

Install from the GitHub repository (recommended for the latest updates):

pip install git+https://github.com/santhoshse7en/imdb

Or install the latest release from PyPI:

pip install imdby

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✨ Quick Start

Here's a quick example of how to use imdby:

from imdb.imdb import IMDb

# Create an instance
ia = IMDb()

# Fetch full cast and crew of a movie by IMDb ID
cast = ia.full_cast_and_crew('tt4154796')

# Print the directors
print('Directors:')
for director in cast.directors:
    print(director)

# Search for a person
people = ia.search_person('Simon Baker')
print(people.person_id, people.person_name)

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🆘 Getting Help

For comprehensive usage guides and API reference, check out the official documentation.

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🤝 Contributing

We welcome contributions! If you're planning a significant change, please open an issue first to discuss your ideas. Make sure to update or add relevant tests.

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👥 Contributors

Big thanks to all the contributors who help make imdby better:

• Sai Harsha Kurapati – @harshasic

Want to contribute? Fork the repo and send a pull request!

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📄 License

This project is licensed under the MIT License.