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American Retail Product Price Data
Retail & Consumer Behavior
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About
This collection contains updated product data sourced from Walmart USA, featuring approximately 30,000 sample records. The dataset provides valuable insights into product reviews, dynamic pricing structures, and categorization across a vast range of products available on one of America's largest eCommerce platforms. It is designed to assist market analysts, competitors, and data enthusiasts in developing case studies and understanding current market positioning within the USA. The information is crucial for those interested in machine learning and Natural Language Processing (NLP) applications related to retail and product intelligence.
Columns
The dataset includes 14 distinct fields detailing product specifics:
- Uniq Id: The unique identification number assigned to the product by Walmart.
- Crawl Timestamp: The specific date and time the product information was extracted.
- Product Url: The direct web link to the product listing on the Walmart website.
- Product Name: The descriptive title of the item.
- Description: A detailed narrative outlining the characteristics and specifications of the item.
- List Price: The original standard retail price of the product.
- Sale Price: The discounted or selling price of the product after promotions are applied.
- Brand: The manufacturer or brand name associated with the product.
- Item Number: The internal item number used by Walmart (Note: This column has a high volume of missing entries).
- Gtin: The Global Trade Item Number or lot number associated with the product acquisition.
- Package Size: Intended to record the product's package dimensions (Note: All records in this sample are missing this data).
- Category: The classification pathway for the product on the Walmart platform (e.g., Sports & Outdoors | Bikes).
- Postal Code: Intended to capture location information (Note: All records in this sample are missing this data).
- Available: A Boolean indicator showing if the product was available for sale at the time of data collection (approximately 93% of products were marked as available).
Distribution
The current file is a high-quality sample, typically distributed in a CSV format, named
marketing_sample_for_walmart_com-ecommerce__20191201_20191231__30k_data.csv. The file size is approximately 45.65 MB. The dataset contains 30,000 individual records or rows, covering product details collected across a brief period in December 2019.Usage
This data is ideal for several analytical purposes, including:
- Pricing Strategy Analysis: Comparing list price versus sale price to study discounting behaviour.
- Market Research: Identifying popular product categories and brand presence on a major American eCommerce site.
- Competitive Intelligence: Helping competitors position their own products strongly in the market.
- NLP and Machine Learning Projects: Utilizing product names and descriptions for building recommendation systems or training language models.
Coverage
The data focuses exclusively on Walmart USA product listings. The time range of the data collection is highly specific, centred around December 2019 (specifically December 18th and 19th). There is no specific demographic scope provided within the product records themselves, as the data is focused on item characteristics and availability. It should be noted that the
Package Size and Postal Code fields are entirely empty in this 30,000-record sample.License
CC0: Public Domain
Who Can Use It
The dataset is intended for use by a wide audience, including:
- Data Scientists: For training models related to retail, pricing prediction, or product categorization.
- ECommerce Analysts: To benchmark Walmart's pricing strategies and inventory availability.
- Students/Researchers: For academic case studies or articles focusing on modern retail or NLP applications.
- Competitors: To gain insight into product information being listed by Walmart.
Dataset Name Suggestions
- Walmart USA Product Listings Snapshot 2019
- American Retail Product Price Data
- 30K Walmart ECommerce Records
- Walmart Product Metadata Dec 2019
- USA Online Product Pricing.
Attributes
Original Data Source: American Retail Product Price Data
QUALITY