High-volume content ingestion pipeline
Built an automated content pipeline processing 5,000+ articles per day from multiple sources.
- Role
- Full-Stack Engineer
- Technologies
- Node.js · Puppeteer · CRON · AI processing
The challenge
Process a high volume of articles from multiple sources and turn that material into content suitable for categorization, summarization, and aggregation.
Scheduled, concurrent ingestion
Built Puppeteer scraping scheduled with CRON, processing 5,000+ articles per day and supporting as many as 15 concurrent sources.
From articles to useful content
Built a processing pipeline to clean and categorize the extracted articles, followed by AI-assisted summarization and aggregation. The work covered ingestion through preparation for downstream content analysis.