This dataset consists of details of 1.5M+ products for Nordstrom in United States from nordstrom.com. Data fields include department, category, subcategory, product URL, SKU, product name, brand, gender, retail price, sale price, review rating, review count, promotion, availability, color, color code.
This dataset consists of details of 1.5M+ products for Nordstrom in United States from Nordstrom. Data fields include department, category, subcategory, product URL, SKU, product name, brand, gender, retail price, sale price, review rating, review count, promotion, availability, color, color code.
Saturn Data provides data mining solutions from public sources to deliver insights for enterprises and the market. If you are interested in acquiring other datasets or customized data mining service, email us at info@polar-data.com.
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This listing uses a single pricing dimension: Product Access (Units). It grants subscribers access to the dataset at no cost. There are no tiers, instance sizes, or usage-based add-ons to choose from. You subscribe once to unlock access. The dataset covers product inventory and pricing details for over 1.5M products, delivered as CSV files and updated weekly for US coverage. Because pricing is free, there is no scaling logic tied to volume or usage.
Top-of-mind questions for buyers
What does one unit of Product Access grant me?
One unit unlocks subscriber access to the full dataset. You receive product inventory and pricing details for over 1.5M products. Data comes as CSV files covering the US market. Access is not metered by row count or download volume — a single subscription opens the whole dataset.
How often does the dataset update, and does that change what I pay?
The dataset refreshes weekly. Your access does not cost more when new data arrives. Because the single dimension is free, there is no volume-based or update-based charge. You continue receiving weekly CSV refreshes for US product inventory and pricing under the same access.
What data fields are included with Product Access?
Access includes fields such as department, category, subcategory, product URL, SKU, product name, brand, gender, retail price, sale price, review rating, review count, promotion, availability, color, and color code. All fields come in the same CSV delivery under one subscription.
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