This Python Flask application filters RSS feed entries based on specific keywords. It uses the feedparser library to parse RSS feeds and the Flask framework to display the filtered entries on a web page. The application is designed to filter news articles that mention specific keywords related to train disruptions, delays, and railway news in general, making it easier for users to find relevant updates.

• RSS Feed Parsing: Utilizes feedparser to parse RSS feeds from specified URLs.
• Keyword Filtering: Filters feed entries based on a predefined list of keywords related to train disruptions and railway news.
• Web Interface: Displays the filtered feed entries on a web page using Flask.

Ensure you have Python installed on your system. This application was developed with Python 3.8. It may work with other versions but is not guaranteed.

The application requires Flask and feedparser. Install them using pip:

pip install Flask feedparser

Clone the application from its repository or download the source code directly to your local machine.

Navigate to the application directory in your terminal or command prompt and run the application with the following command:

python app.py

By default, the application will run on https://127.0.0.1:5000/. Open this URL in your web browser to view the filtered RSS feed entries.

RSS Feeds Modify the FEEDS list in app.py to include the URLs of the RSS feeds you want to parse. By default, it is set to a single feed for demonstration purposes:

FEEDS = ['https://www.nu.nl/rss']  # Replace with actual RSS feed URLs

The KEYWORDS list contains the keywords used to filter feed entries. Update this list based on your filtering needs:

KEYWORDS = ['Treinstoring', "treinstoring", "Spoorweg", "Spoorwegen", "spoorweg", "spoorwegen", "vertraging"]

After starting the application, it will automatically parse the specified RSS feeds and filter the entries based on the defined keywords. The filtered entries will be displayed on the homepage of the web application.

You can customize the appearance of the web page by editing the templates/index.html file. Additionally, the keyword filtering logic can be adjusted or expanded in the home function within app.py.

For support, open an issue in the repository or contact the developer directly.