INSANE Multi-Source Information Aggregation Workflow for AI Content

AI newsletter curators, tech researchers, and content aggregators who need fresh AI news from diverse sources without manual effort. Pulls in AI-related articles from RSS feeds, Reddit, Google News, Hacker News, and company blogs. Normalizes data, scrapes full content, uses AI to check relevance and extract sources, then stores markdown and HTML in S3 with metadata to build a centralized AI knowledge base. Import into n8n, set up credentials for AWS S3, OpenAI, and Reddit. Update RSS URLs if needed. Configure the sub-workflow for scraping. Activate triggers on a schedule. n8n instance, AWS S3 bucket, OpenAI API key (for o3-mini model), Reddit API credentials, access to RSS.app feeds. Add new RSS triggers for more sources, tweak AI prompts for better filtering, adjust schedules, or integrate with databases beyond S3. Key Technologies: n8n Workflow Automation,RSS Feeds (via RSS.app),AWS S3 Storage,OpenAI (o3-mini LLM),Reddit API,HTTP Requests for Scraping Automation Value: Automates daily collection of 100+ AI articles, reducing manual research by 90%. AI filters irrelevant content, ensuring 80% relevance boost for quality curation. Deduplicates via S3 searches, avoiding redundant storage and processing. Centralizes content in S3 for easy access in newsletters or AI training datasets, saving hours weekly. Handles errors gracefully with retries, maintaining uptime for continuous aggregation. Best Practices: Use schedule triggers for non-real-time sources to balance load and API limits. Implement AI filtering early to reduce downstream compute on irrelevant data. Add retries and delays for reliable error handling in scraping and uploads. Normalize data consistently to enable easy querying in S3 or downstream apps. Group sources by type (newsletters, social, blogs) for modular maintenance.