A Python project to fetch, analyze, and visualize IMDb ratings for movies, TV shows, or other media content. This project leverages APIs and libraries to provide insights into IMDb ratings, trends, and other related metrics.
- Fetch IMDb ratings and details using APIs or web scraping.
- Analyze rating trends, averages, and distributions.
- Visualize data through interactive charts and graphs.
- Export analyzed data to CSV/Excel for further use.
-
Clone the repository:
git clone https://github.com/your-username/imdb-rating-analysis.git
-
Navigate to the project directory:
cd imdb-rating-analysis
-
Create a virtual environment (optional but recommended):
python -m venv env source env/bin/activate # On Windows: env\Scripts\activate
-
Install dependencies:
pip install -r requirements.txt
- Update the API key or IMDb URL in the
config.py
file. - Run the script:
python main.py
- Follow the prompts to:
- Search for movies or TV shows.
- Fetch and analyze IMDb ratings.
- View visualizations.
- Python 3.8+
- Libraries:
requests
pandas
matplotlib
seaborn
beautifulsoup4
Install these dependencies via:
pip install -r requirements.txt
imdb-rating-analysis/
├── main.py # Main script to run the project
├── config.py # Configuration file for API keys and settings
├── data/ # Directory for storing fetched data
├── visuals/ # Directory for storing generated visualizations
├── README.md # Project documentation
├── requirements.txt # Python dependencies
Contributions are welcome! Feel free to:
- Report bugs
- Suggest features
- Submit pull requests
- IMDb for providing movie and TV show data.
- Open-source libraries that made this project possible.