https://github.com/feel2code/cinema_parser
Parsing top films from site about films
https://github.com/feel2code/cinema_parser
films pandas parser
Last synced: about 1 month ago
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Parsing top films from site about films
- Host: GitHub
- URL: https://github.com/feel2code/cinema_parser
- Owner: feel2code
- License: mit
- Created: 2022-02-15T19:56:22.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2024-02-19T16:04:21.000Z (over 2 years ago)
- Last Synced: 2025-10-13T08:39:59.573Z (8 months ago)
- Topics: films, pandas, parser
- Language: Python
- Homepage:
- Size: 15.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Movies Data Parser from KinoAfisha


## Overview
It's a script for parsing top cinema's info from the `KinoAfisha` website and generating a database-ready file.
## Features
- Extracts detailed information about top movies.
- Creates a structured `CSV` file for seamless integration with databases.
## Usage
Just copy-paste into your terminal and you're ready!
```bash
git clone https://github.com/feel2code/cinema_parser.git && cd cinema_parser && ./start.sh
```
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Acknowledgments
- Inspired by the need for up-to-date movies datasets in databases.
- Data parses from `KinoAfisha` website, which providing a valuable source of movies info.