Walmart - products
Use our Walmart products dataset to explore new products, categories, pricing, and consumer reviews. Popular use cases include identifying inventory gaps, analyzing consumer sentiment, and defining pricing strategies through competitor analysis Use it for enrichment, market research, and lead generation — sample the fields free, then pull the records you need on demand.
Data-fields
98
Total records
579.23M
Price
up to $0.005/record
Min order
$350
Data sample
Description
Statistics
Dictionary
Related
Data sample
| sku | url | gtin | currency | db_source | timestamp | final_price | top_reviews |
|---|---|---|---|---|---|---|---|
| 15198311817 | https://www.walmart.com/ip/High-Precision-Body-Weight-Scale-Smart-Bath | USD | 1784589764011 | 2026-07-20 | 38.9 | ||
| 17301753103 | https://www.walmart.com/ip/ArtToFrames-18-x-24-Clear-Stain-Picture-Fra | 450302605104 | USD | 1784589764011 | 2026-07-20 | 103.29 | {"negative":{"rating":1,"review":"There was a blac |
| 16940613692 | https://www.walmart.com/ip/Nike-Men-s-Air-Max-1-White-University-Blue- | 469310481501 | USD | 1784589764011 | 2026-07-20 | 317 | {"negative":{"rating":2},"positive":{"rating":5}} |
| 15528551673 | https://www.walmart.com/ip/Smiry-Waterproof-Pet-Couch-Covers-Washable- | 655060682057 | USD | 1784589764011 | 2026-07-20 | 28.99 | {"negative":{"rating":2,"review":"I believe my pup |
| 17744768763 | https://www.walmart.com/ip/Tnhcen-Women-s-Wide-Leg-Culottes-Pockets-El | USD | 1784589764011 | 2026-07-20 | 9.99 | ||
| 16742310549 | https://www.walmart.com/ip/Brown-Women-s-Jean-Shorts-Womens-Casual-Hig | USD | 1784589764011 | 2026-07-20 | 8.39 | ||
| 20635856525 | https://www.walmart.com/ip/3-packs-8-Month-Fleafick-Prevention-Collar- | 173958645910 | USD | 1784589764011 | 2026-07-20 | 69.99 | |
| 5220546177 | https://www.walmart.com/ip/9x9-Shadow-Box-3-4-Depth-Black-Picture-Fram | 751534091872 | USD | 1784589764011 | 2026-07-20 | 38.95 | |
| 9926904225 | https://www.walmart.com/ip/SIXHOME-Outdoor-Rug-LED-Strip-Light-9-x12-W | 768917101899 | USD | 1784589764011 | 2026-07-20 | 89.99 | {"negative":{"rating":2,"review":"The rug doesn’t |
| 490560293 | https://www.walmart.com/ip/Taliah-Waajid-Protective-Styles-Bamboo-and- | 533194077768 | USD | 1784589764011 | 2026-07-20 | 11.87 | |
| 14918068856 | https://www.walmart.com/ip/Babysbule-Lounge-Sets-for-Women-Clearance-W | USD | 1784589764011 | 2026-07-20 | 27.95 | {"negative":{"rating":1,"review":"The outfits deli | |
| 17553951821 | https://www.walmart.com/ip/Levtex-Home-Bellara-Full-Queel-Duvet-Set-Du | 190945195111 | USD | 1784589764011 | 2026-07-20 | 107.99 | {"negative":{"rating":2,"review":"[This review was |
Description
The Walmart - products dataset standardizes walmart.com data into analysis-ready fields:
url, final_price, sku, currency, gtin, specifications, image_urls, top_reviews, and more.
Use our Walmart products dataset to explore new products, categories, pricing, and consumer reviews. Popular use cases include identifying inventory gaps, analyzing consumer sentiment, and defining pricing strategies through competitor analysis
Common uses include enrichment, lead generation, market and competitor research, and feeding downstream AI models.
579.23M records available, refreshed monthly, from $0.005 per record — minimum order $350. Preview a sample free before you buy.
Record updates over time
Data dictionary
| Column name | Description | Type | Fill rate |
|---|---|---|---|
| url | URL representing the product link | Url |
100%
|
| final_price | Price of the product | Text |
92.76%
|
| sku | Stock Keeping Unit (SKU) for product identification | Text |
100%
|
| currency | Currency used for the product price | Text |
100%
|
| gtin | Global Trade Item Number (GTIN) for product identification | Text |
60.37%
|
| specifications | Array of objects representing product specifications. Each object includes name and value | Array |
98.94%
|
| image_urls | Array of URLs representing product images | Array |
99.83%
|
| top_reviews | Object representing top reviews, including negative and positive reviews. Each review includes rating and review text | Object |
21.47%
|
| rating_stars | Object representing the distribution of ratings in stars, from one star to five stars | Object |
28.74%
|
| related_pages | Array of related pages associated with the product | Array |
70.34%
|
| available_for_delivery | Boolean indicating product availability for delivery | Boolean |
100%
|
| available_for_pickup | Boolean indicating product availability for pickup | Boolean |
100%
|
| brand | Text representing the product brand | Text |
99.03%
|
| breadcrumbs | Array of objects representing breadcrumb links. Each object includes URL and name | Array |
96.89%
|
| category_ids | The category IDs associated with the product | Text |
99.86%
|
| review_count | Number indicating the count of reviews for the product | Number |
73.05%
|
| description | Text representing the product description | Text |
99.48%
|
| product_id | The unique identifier of the product | Text |
100%
|
| product_name | The name of the product | Text |
100%
|
| review_tags | Tags associated with product reviews | Array |
3.35%
|
| category_url | URL representing the category link associated with the product | Url |
95.69%
|
| category_name | The name of the category associated with the product | Text |
96.89%
|
| category_path | The path of the category associated with the product | Text |
97.67%
|
| root_category_url | URL link associated with the product | Url |
96.89%
|
| root_category_name | The name of the root category associated with the product | Text |
96.89%
|
| upc | Universal Product Code (UPC) of the product | Text |
60.48%
|
| tags | Tags associated with the product | Array |
14.92%
|
| main_image | The main product image | Text |
98.05%
|
| rating | The overall rating of the product | Number |
13.27%
|
| unit_price | The unit price of the product | Number |
1.26%
|
| unit | The unit of measurement for the product | Text |
1.03%
|
| aisle | The aisle where the product is located | Text |
0.12%
|
| free_returns | Information about free returns for the product | Text |
71.32%
|
| sizes | The sizes available for the product | Array |
54.7%
|
| colors | The colors available for the product | Array |
56.27%
|
| seller | Seller of the product | Text |
92.53%
|
| other_attributes | Array of objects representing other attributes. Each object includes name and value | Array |
31.5%
|
| customer_reviews | Array of objects representing customer reviews. Each review includes name, title, review text, and rating | Array |
10.08%
|
| nutrition_information | Nutrition information | Array |
0.01%
|
| ingredients | Ingredients of the product, relevant for food products mostly | Text |
0.52%
|
| initial_price | the price before the discount if exists | Number |
80.14%
|
| discount | the discount in value or percentage | Text |
16.63%
|
| ingredients_full | Detailed ingredient list grouped by ingredient type | Array |
0.51%
|
| categories | Product categories | Array |
94.24%
|
| brand_walmart_url | The brand's Walmart store URL | Url |
69.89%
|
| condition | The item's condition | Text |
42.13%
|
| is_returnable | Is the item returnable | Boolean |
63.13%
|
| rating_count | The number of ratings | Number |
72.39%
|
| reviews_count | The number of reviews | Number |
72.39%
|
| short_description | Short description of the product | Text |
83.31%
|
| variants | The product's variants | Array |
61.99%
|
| videos | The product's videos | Array |
1.61%
|
| product_identifiers | The product's identifiers | Object |
84.7%
|
| store_name | Name of the Walmart store | Text |
79.89%
|
| store_location | Location/address of the Walmart store | Text |
70.34%
|
| retailer | Name of the retailer | Text |
84.7%
|
| price_range | Price range for products with multiple variants | Text |
0.11%
|
| availability_text | Availability status text as displayed on the product page | Text |
84.63%
|
| promotion_fulltext | Full text of promotional offers applied to the product | Text |
0.26%
|
| is_available | Whether the product is currently available for purchase | Boolean |
84.7%
|
| seller_info | Seller information including name, ID, and storefront URL | Array |
84.7%
|
| variant_attribute | Variant attribute types with their available values | Array |
62.52%
|
| all_variations | input field | Boolean |
0%
|
| breadcrumb_text | breadcrumb | Text |
82.29%
|
| variant | The specific variant | Object |
81.75%
|
| product_variant | Current product variant type and value pairs | Array |
58.86%
|
| variant_id | The variant iD | Text |
60.24%
|
| shipping_availability_date | shipping availability date | Date |
41.34%
|
| max_shipping_availability_date | shipping availability date | Date |
41.34%
|
| store_delivery_date | store delivery date | Date |
31.43%
|
| max_store_delivery_date | max store delivery date | Date |
31.43%
|
| seller_offers | Array of objects representing different seller offers for the same product with pricing, currency, and seller information | Array |
0.09%
|
| product_category | Product category path as text, derived from breadcrumbs or breadcrumb_text joined with ' > ' | Text |
57.89%
|
| price | Original/regular price of the product. Use initial_price if exists, otherwise use final_price | Text |
54.9%
|
| sale_price | Sale/discounted price of the product. Use final_price when initial_price exists, otherwise null | Text |
9.98%
|
| availability | Product availability status: 'in_stock' or 'out_of_stock', derived from is_available boolean | Text |
58.98%
|
| availability_date | Expected availability/shipping date, derived from shipping_availability_date | Text |
33.91%
|
| group_id | Group identifier for product variants, derived from product_id | Text |
58.98%
|
| listing_has_variations | Indicates if the product listing has multiple variations, derived from variants array | Boolean |
58.98%
|
| variant_attributes | Current variant attributes for this product, derived from product_variant with type→name mapping | Array |
40.41%
|
| variants_details | NAI-formatted variant data grouped by variant type, restructured from variants and variant_attribute | Array |
43.69%
|
| seller_url | URL to the seller's page, extracted from seller_info array | Text |
50.55%
|
| seller_privacy_policy | URL to the seller's privacy policy | Text |
58.98%
|
| seller_tos | URL to the seller's terms of service | Text |
58.98%
|
| return_policy | Return policy information, derived from free_returns field | Text |
58.94%
|
| return_window | Number of days allowed for returns, extracted from free_returns text (e.g., '90 days' → 90) | Number |
34.78%
|
| target_countries | List of country codes where product is available | Array |
58.98%
|
| store_country | Country code where the store is located | Text |
58.98%
|
| category_urls | List of category URLs extracted from breadcrumbs array | Array |
57.89%
|
| mpn | Manufacturer part number (max 70 chars) | Text |
25.06%
|
| product_details | Bullet points from the product details | Array |
38.42%
|
| store_id | The unique identifier assigned to a specific Walmart store location, used to retrieve store-specific inventory, pricing, and pickup availability for a given product. | Number |
45.53%
|
| order_limit | Order Limit per seller | Number |
32.62%
|
| seller_id | Seller ID | Text |
41.24%
|
| Fulfillment_type | Fulfillment type | Text |
44.81%
|
| review_images | review_images | Array |
1.78%
|
| review_videos | review_videos | Array |
0%
|
| timestamp | Date |
%
|