Scalable Vehicle Inventory Scraping System
Built a high-performance, cost-effective web scraping architecture using AWS ECS and Docker, replacing an expensive third-party service.
The Challenge
Marketing company relied on an expensive, unreliable third-party service for collecting vehicle inventory data from dealer websites. The system needed to be more cost-effective and scalable to support growing clientele.
The Solution
Designed and implemented a scalable web scraping architecture using AWS ECS and Docker containers, with permission-based access to dealer inventory data.
Technical Implementation
Built using NestJS for microservices architecture
Implemented job queue system for distributed scraping tasks
Designed auto-scaling container infrastructure using AWS ECS
Created robust error handling and retry mechanisms
Implemented data validation and cleaning pipelines
Impact & Results
Reduced operational costs by 60% compared to third-party solution
Improved data reliability to 99.9% uptime
Scaled to handle 3x more dealer websites without performance degradation
Technical Architecture & Interface
Scraping job dashboard
System monitoring dashboard