ShelfWatch US
Aggregator scraping product listings across major US retail stores for pricing and availability comparison.
TODO: Add permission-approved, sanitized product screenshots. Concept art is not shown as product evidence.
Technical concept illustration. The case study below describes the project implementation.
Availability status changes far more frequently than price, so ShelfWatch US's scraping cadence and storage model needed to capture both current state and historical trend without the dataset becoming unmanageably large or stale. It aggregates product listings from major US retail stores, tracking pricing and availability in a single, continuously refreshed dataset, with resilient per-store scraper logic since major retailers differ enough in site structure that a one-size-fits-all scraper broke often.
Provided a reliable, regularly refreshed dataset of pricing and availability across multiple major US retailers for downstream analysis.
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