High-Volume Artifact Extraction

Project Overview

Engineered a high-performance data extraction pipeline using n8n to process a massive business email archive. The system successfully iterated through 88,000+ Outlook messages, identifying, extracting, and systematically storing over 150,000 PDF documents. This project required building robust error handling, rate-limiting logic to respect API quotas, and a scalable storage architecture to manage the high volume of extracted artifacts efficiently.

Key Features