https://github.com/feel2code/cinema_parser

Parsing top films from site about films
https://github.com/feel2code/cinema_parser

films pandas parser

Last synced: 3 months 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 3 years ago)
• Default Branch: master
• Last Pushed: 2024-02-19T16:04:21.000Z (over 1 year ago)
• Last Synced: 2025-02-21T09:48:54.482Z (3 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

        
# KinoAfisha Film Data Parser

![Python](https://img.shields.io/badge/Python-3.11%2B-blue)

![License](https://img.shields.io/badge/License-MIT-green)

## Overview

A Python script for parsing top film information from the `KinoAfisha` website and generating a database-ready file.

## Features

- Extracts detailed information about top films.

- Creates a structured `CSV` file for seamless integration with databases.

## Usage

1. Clone the repository:

    ```bash

    git clone https://github.com/feel2code/cinema_parser.git

    ```

2. Install dependencies:

    ```bash

    pip install -r requirements.txt

    ```

3. Run the script:

    ```bash

    python cinema_parser.py

    ```

## 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 film data in databases.

- Special thanks to `KinoAfisha` website for providing a valuable source of film information.