Google News RSS Fectch System
A Django-based system for managing news clipping projects that fetches Google News RSS articles using defined keywords and exports the results to Excel.
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This system automates the retrieval and management of news articles using Google News RSS feeds. It features two user roles: Admin and Staff. Admins are responsible for creating and managing Projects, while Staff members input Clippings—each containing specific keywords or phrases related to the project. Key features include: Automated and ad-hoc news fetching based on clipping keywords. Scheduled retrieval of news articles per clipping. Exported results are automatically saved in Excel format for each retrieval session. Organized data management by project for efficient tracking. Built using the Django web framework, this system streamlines the media monitoring process, making it easier to collect, archive, and analyze relevant news coverage.
You can try the website by logging in using credentials provided below:
- Log in as Staff :
- Username : staff_only
- Password : password
- Log in as Admin :
- Username : admin_only
- Password : password
Project information
- Tools Django, Mysql, Bootstrap
- Github Repository https://github.com/devimartha20/diah_news
- Project date 01 November, 2024 - 01 March 2025
- Project URL fetchnews-nlmt.marthashares-project.my.id/
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