I’ve been working on a dataset that captures weekly pricing behavior from online brand storefronts.
What it is:
– Weekly snapshots of pricing data from 500+ DTC and e-commerce brands
– Structured schema: current price, original price, discount percentage, category
– Historical comparability (same schema across all snapshots)
– MIT licensed
What it’s for:
– Pricing analysis and benchmarking
– Market research on e-commerce behavior
– Academic research on retail pricing dynamics
– Building models that need consistent pricing signals
What it’s not:
– A product catalog (it’s behavioral data, not inventory)
– Real-time (weekly cadence, not live feeds)
– Complete (consistent sample > exhaustive coverage)
The repo has full documentation on methodology, schema, and limitations. First data release is coming soon.
GitHub: https://github.com/mranderson01901234/online-brand-pricing-snapshots
Source and full methodology: https://projectblueprint.io/datasets
submitted by /u/operastudio
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