RSS Feed Aggregator
Custom RSS feed aggregator for consolidating news from multiple sources into a unified, easy-to-read interface
Project Overview
This RSS Feed Aggregator is a custom-built tool designed to consolidate news and content from multiple RSS feeds into a single, unified interface. It parses RSS/Atom feeds, extracts article information, and presents it in a clean, organized format.
Built with Python and featuring a web-based interface, the aggregator automatically fetches updates from configured feeds at regular intervals, caches content for performance, and provides filtering and search capabilities for easy content discovery.
The tool is perfect for staying updated with multiple news sources, blogs, or content feeds without having to visit each site individually. It supports feed categorization, read/unread tracking, and customizable update intervals.
Technology Stack
Backend
- Python 3.x
- Flask Framework
- Feedparser Library
- Requests
Frontend
- HTML5
- CSS3
- JavaScript
- Bootstrap
Data Storage
- SQLite Database
- Feed Caching
- Article Storage
Feed Parsing
- RSS 2.0
- Atom Feeds
- XML Parsing
Automation
- Scheduled Updates
- Background Tasks
- Auto-Refresh
Features
- Search & Filter
- Categorization
- Read Tracking
Key Features
Multi-Feed Support
Add and manage multiple RSS/Atom feeds from different sources. Supports both RSS 2.0 and Atom feed formats with automatic format detection.
Automatic Updates
Scheduled background tasks automatically fetch new articles from configured feeds at customizable intervals, keeping content fresh.
Search & Filter
Powerful search functionality to find articles by title, content, or source. Filter by feed, date range, or read status for easy navigation.
Feed Categorization
Organize feeds into custom categories (News, Tech, Sports, etc.) for better content organization and easier browsing.
Read Tracking
Track which articles you've read with visual indicators. Mark articles as read/unread or mark all as read for easy content management.
Performance Caching
Intelligent caching system stores fetched articles locally, reducing load times and minimizing redundant network requests.
Solutions Provided
Problems Solved
- Time-consuming process of checking multiple news sites individually
- Difficulty tracking which articles have been read across different sources
- No centralized way to search across multiple content sources
- Missing updates from favorite blogs and news sources
Value Delivered
- Unified interface for all news and content sources in one place
- Time savings by eliminating the need to visit multiple websites
- Never miss updates with automatic feed checking and notifications
- Better organization with categories and read tracking
Screenshot Gallery
Main Interface
Unified feed view with article listings
Feed Management
Add, edit, and organize RSS feeds
Technical Highlights
RSS/Atom Feed Parsing
Utilizes Python's feedparser library to parse both RSS 2.0 and Atom feeds. Handles various feed formats and edge cases, extracting titles, descriptions, links, publication dates, and author information.
Scheduled Background Tasks
Implements background task scheduling using APScheduler to automatically fetch feed updates at configurable intervals. Runs asynchronously without blocking the main application.
SQLite Database Integration
Uses SQLite for persistent storage of feeds, articles, and user preferences. Implements efficient queries with indexing for fast search and retrieval of articles.
Intelligent Caching System
Caches fetched articles to minimize redundant network requests and improve performance. Implements cache invalidation strategies to ensure fresh content while reducing bandwidth usage.
Flask Web Framework
Built on Flask for a lightweight, flexible web interface. Implements RESTful API endpoints for feed management, article retrieval, and search functionality with JSON responses.
Need a Custom Content Aggregator?
I can build custom content aggregation tools tailored to your specific needs, from RSS readers to data consolidation platforms.