// Case_Study
Manually tracking prices across multiple restricted supplier platforms was time-consuming and error-prone. The client needed a system that would do it automatically, every day, without human intervention.
A Python-based scraping system using async concurrency to pull pricing data from multiple closed, access-restricted platforms simultaneously. Data is stored daily to a database and accessible through a dedicated admin view for monitoring price changes over time.