RSS Schedule Storage is a Python-based application designed to periodically fetch articles from specified RSS feed URLs and store them in a Google Spreadsheet. The application uses Flask for the web framework, APScheduler for scheduling tasks, and gspread for interacting with Google Sheets.

• Scheduled RSS Feed Parsing: The application reads RSS feed URLs from a text file and schedules regular fetching of articles using APScheduler.

• Google Sheets Integration: Fetched articles are stored in a Google Spreadsheet, making it easy to access and manage the data.

• Efficient Article Downloading: The application uses the newspaper library to download articles in batches, optimizing the process and reducing the time taken.

This application is configured to be deployed on fly.io with the provided fly.toml configuration file. To deploy the application, follow these steps:

1. Install the flyctl command-line tool from fly.io.
2. Authenticate with fly.io using flyctl auth login.
3. Navigate to the project directory and run flyctl launch to create and configure the app on fly.io.
4. Deploy the application using flyctl deploy.

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• email: pjwhusir@gmail.com

This project is licensed under the MIT License - see the LICENSE file for details.

Contributions to the RSS Schedule Storage project are welcome. Please feel free to submit issues and pull requests through the GitHub repository.

If you encounter any issues or require assistance, please open an issue on the GitHub repository.

Happy Coding!

Part of the code is generate by gpt4