This Python script is designed to scrape movie data from the YTS website and store it in a SQLite database. The code leverages various libraries and technologies to achieve this, including asyncio, aiohttp for web scraping, SQLAlchemy for database management, and requests for API requests.
Youtube Video Can be Found here : https://youtu.be/7Wc_3Zv8AOY
GITHUB ACTION LAST RAN : {{last_run_history}}
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Web Scraping: The script uses asynchronous web scraping with aiohttp to fetch movie data from the YTS website. It extracts movie details, including title, year, rating, runtime, and more.
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Database Storage: The scraped movie data is stored in a SQLite database. The code defines a database schema using SQLAlchemy and includes tables for movies, genres, and error logs. Movie-genre associations are handled through a many-to-many relationship.
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Error Logging: In case of errors during the scraping process, the code logs error information, including status, description, number of items processed, and the time taken.
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Clone this repository or download the code to your local machine.
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Install the required Python libraries by running
pip install aiohttp sqlalchemy request. -
Run the script by executing
python YTS_Movie Webscraper.py. Make sure to set up the working directory and database location as needed. -
The script will fetch movie data from the YTS website, process it, and store it in a SQLite database.
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You can further customize the code to fit your specific needs, such as adjusting the batch size for database commits or modifying error handling.
This project is open-source and available under the MIT License.