What is Walmart Data? Examples, Providers and Datasets to Buy
What is Walmart Data?
Walmart Data is diverse range of information generated by Walmart through its operations, including inventory data, supply chain data, store operations data, and online data. It encompasses valuable insights into consumer behavior, market trends, and operational metrics.
What Are Examples of Walmart Data?
Examples of Walmart data include:
- Product names, descriptions, and prices
- Product images and categories
- Stock availability (e.g., “In Stock” or “Out of Stock”)
- Customer reviews and ratings
- Discounted items and promotions
- Shipping options and delivery times
- Seller information (e.g., store name, ratings)
- Public performance metrics (e.g., product popularity)
- and more
Best Walmart Databases & Datasets
The best Walmart datasets provide detailed insights into inventory, customer demographics, and supply chain performance. This curated list features the top Walmart datasets, selected for quality, accuracy, and trusted providers
Walmart Data | Ecommerce Data | Ecommerce Product Data | Walmart API | Walmart Product Datasets | Easy to Integrate | 50% Cost Saving | Free Sample
Bright Data | Walmart products dataset Walmart.com
Point-of-Interest (POI) Data | Walmart & Sam’s Club Locations in US and Canada | Retail Warehouse Data | Accurate POI Insights
Walmart Data API | Walmart Reviews Data | Comprehensive Global Coverage | 45M+ Products Collected | NLP Extraction & Search | Real Time Updates
Walmart sellers list - complete database of 400,000+ sellers | scrapelabs.io
Walmart Products Data and Reviews
Walmart Ecommerce Reviews & Ratings Data
Walmart Locations Data USA | Locationscloud
BlueCart API | Walmart Product & Search Results Data
Ecommerce Market data -Amazon Data , Walmart product data, Ecommerce data | Ecommerce data extraction | 50% Cost Saving |Free Sample
Monetize data on Datarade Marketplace
Popular Use Cases for Walmart Data
Walmart data is instrumental in optimizing business strategies and operations, with key applications like market analysis to identify consumer trends through inventory data, and supply chain management for efficient logistics and restocking. Additional uses include product performance evaluation to identify top-selling items, competitor benchmarking to assess Walmart’s market position and customer profiling for personalized marketing strategies.
Walmart Data Use Cases in Detail
Use Case 1: Inventory Management
Walmart collects and analyzes vast amounts of data to efficiently manage its inventory. By tracking sales data, customer preferences, and market trends, Walmart can optimize its inventory levels, ensuring that products are available when and where they are needed. This use case helps Walmart minimize stockouts, reduce excess inventory, and improve overall supply chain efficiency.
Use Case 2: Customer Analytics
Another crucial use case of Walmart’s data is customer analytics. By analyzing customer data, such as purchase history, demographics, and online behavior, Walmart gains insights into customer preferences and behaviors. This information allows Walmart to personalize marketing campaigns, improve customer experience, and tailor product offerings to specific customer segments. Customer analytics helps Walmart enhance customer satisfaction and loyalty, ultimately driving sales and revenue.
Use Case 3: Pricing and Competitive Analysis
Walmart leverages its data to perform pricing and competitive analysis. By monitoring competitor prices, promotions, and market trends, Walmart can adjust its pricing strategies to remain competitive. Data analysis also helps Walmart identify pricing opportunities, optimize pricing structures, and forecast demand. This use case enables Walmart to offer competitive prices to customers while maximizing profitability and market share.
Main Attributes of Walmart Data
The possible attributes of Walmart datasets, which are typically stored in the Walmart database, can vary depending on the specific dataset. However, some common attributes that might be found in Walmart datasets include product information such as product name, brand, category, price, and availability; customer information such as customer ID, demographics, and purchase history; sales data including transaction ID, date, and quantity sold; inventory information such as stock levels and replenishment data; and geographical data such as store location and regional sales performance. Here’s a table of the main attributes you might find on Walmart datasets:
| Attribute | Description |
|---|---|
| Store ID | Unique identifier for each Walmart store |
| Date | Date of the recorded data |
| Sales | Total sales amount for the given store on the given date |
| Customers | Number of customers who made purchases at the store on the given date |
| Open | Binary value indicating whether the store was open (1) or closed (0) on the given date |
| Promo | Binary value indicating whether there was a promotional offer (1) or not (0) on the given date |
| State Holiday | Binary value indicating whether it was a state holiday (1) or not (0) on the given date |
| School Holiday | Binary value indicating whether it was a school holiday (1) or not (0) on the given date |
| Temperature | Average temperature in Celsius for the given store on the given date |
| Fuel Price | Cost of fuel in the region of the given store on the given date |
| CPI | Consumer Price Index for the given store on the given date |
| Unemployment | Unemployment rate in the region of the given store on the given date |
| IsHoliday | Binary value indicating whether the given date was a holiday (1) or not (0) |
| Markdowns | Total amount of markdowns for the given store on the given date |
| MarkDown1-5 | Detailed breakdown of markdown amounts for the given store on the given date |
| Type | Type of store (A, B, or C) |
| Size | Size of the store in square feet |
| Dept | Department within the store |
| Weekly Sales | Sales amount for the given department in the given store on the given date |
| Weekly Customers | Number of customers who made purchases in the given department of the given store on the given date |
| Weekly Holiday Sales | Sales amount for the given department in the given store on the given date, considering it was a holiday |
| Weekly Holiday Customers | Number of customers who made purchases in the given department of the given store on the given date, considering it was a holiday |
Frequently Asked Questions
How is Walmart Data Collected?
Walmart data is collected exclusively from publicly available sources, such as ecommerce platforms, product pages, and customer reviews. Our providers use advanced tools like APIs and web scraping to gather and aggregate this information, ensuring the data remains comprehensive and reliable.
Is Walmart Data Secure?
Yes, the data captured and delivered is strictly sourced from publicly available information, ensuring compliance with global data privacy regulations. Providers use secure delivery methods, such as encrypted APIs and SFTP, to ensure your data is transferred safely and without risk.
How is Walmart Data Delivered?
Walmart data is delivered in flexible formats, including JSON, CSV, XML, and Excel files. Depending on your needs, delivery can happen via APIs, email, SFTP, or direct download. Updates are available in real-time, hourly, daily, or at custom intervals to match your workflow.
How Much Does Walmart Data Cost?
Pricing depends on the dataset’s size, scope, and delivery frequency. For instance, monthly licenses start at $25, with additional discounts for yearly plans or bulk purchases. Some datasets offer usage-based pricing, such as $0.29 per lead for seller data. Free samples are often available to help you assess the dataset before purchase.
- Overview
- Datasets
- Use Cases
- Guide
- FAQ