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Description:

One of the leading retail stores in the US, Walmart, would like to predict the sales and demand accurately. There are certain events and holidays which impact sales on each day. There are sales data available for 45 stores of Walmart. The business is facing a challenge due to unforeseen demands and runs out of stock some times, due to the inappropriate machine learning algorithm. An ideal ML algorithm will predict demand accurately and ingest factors like economic conditions including CPI, Unemployment Index, etc.

Walmart runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of all, which are the Super Bowl, Labour Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in the evaluation than non-holiday weeks. Part of the challenge presented by this competition is modeling the effects of markdowns on these holiday weeks in the absence of complete/ideal historical data. Historical sales data for 45 Walmart stores located in different regions are available.

Acknowledgements

The dataset is taken from Kaggle.

Objective:

• Understand the Dataset & cleanup (if required).
• Build Regression models to predict the sales w.r.t single & multiple features.
• Also evaluate the models & compare their respective scores like R2, RMSE, etc.

Looking for a free Walmart product dataset? The Walmart Products Free Dataset delivers a ready-to-use ecommerce product data CSV containing ~2,100 verified product records from Walmart.com. It includes vital details like product titles, prices, categories, brand info, availability, and descriptions — perfect for data analysis, price comparison, market research, or building machine-learning models.

Key Features

Complete Product Metadata: Each entry includes URL, title, brand, SKU, price, currency, description, availability, delivery method, average rating, total ratings, image links, unique ID, and timestamp.

CSV Format, Ready to Use: Download instantly - no need for scraping, cleaning or formatting.

Good for E-commerce Research & ML: Ideal for product cataloging, price tracking, demand forecasting, recommendation systems, or data-driven projects.

Free & Easy Access: Priced at USD $0.0, making it a great starting point for developers, data analysts or students.

Who Benefits?

• Data analysts & researchers exploring e-commerce trends or product catalog data.
• Developers & data scientists building price-comparison tools, recommendation engines or ML models.
• E-commerce strategists/marketers need product metadata for competitive analysis or market research.
• Students/hobbyists needing a free dataset for learning or demo projects.

Why Use This Dataset Instead of Manual Scraping?

• Time-saving: No need to write scrapers or deal with rate limits.
• Clean, structured data: All records are verified and already formatted in CSV, saving hours of cleaning.
• Risk-free: Avoid Terms-of-Service issues or IP blocks that come with manual scraping.
  Instant access: Free and immediately downloadable.

The dataset comprises transactional information from previous 5 years from Walmart retail stores, with diverse details such as customer demographics, order specifics, product attributes, and sales logistics. It includes data on the city where purchases were made, customer age, names, and segments, along with any applied discounts and the quantity of products ordered. Each transaction is uniquely identified by an order ID, accompanied by order date, priority, and shipping details like mode, cost, and dates. Product-related information encompasses base margins, categories, containers, names, and sub-categories, enabling insights into profitability, sales, and regional performance. The dataset also provides granular details such as profit margins, unit prices, and ZIP codes, facilitating analysis at multiple levels like customer behavior, product performance, and operational efficiencies within Walmart's retail ecosystem.

The columns in dataset are:

1. City: The city where the purchase was made.
2. Customer Age: Age of the customer making the purchase.
3. Customer Name: Name of the customer.
4. Customer Segment: Segment to which the customer belongs (like retail, wholesale, etc.).
5. Discount: Any discount applied to the purchase.
6. Number of Records: The count of records for each transaction.
7. Order Date: Date when the order was placed.
8. Order ID: Unique identifier for each order.
9. Order Priority: Priority level of the order (like high, medium, low).
10. Order Quantity: Quantity of products ordered.
11. Product Base Margin: Base margin percentage for the product.
12. Product Category: Category to which the product belongs (like electronics, groceries, etc.).
13. Product Container: Container type of the product.
14. Product Name: Name of the product.
15. Product Sub-Category: Sub-category to which the product belongs.
16. Profit: Profit earned from the transaction.
17. Region: Region where the purchase was made.
18. Row ID: Unique identifier for each row.
19. Sales: Total sales amount.
20. Ship Date: Date when the order was shipped.
21. Ship Mode: Mode of shipping (like standard, express, etc.).
22. Shipping Cost: Cost associated with shipping.
23. State: State where the purchase was made.
24. Unit Price: Price per unit of the product.
25. Zip Code: ZIP code of the customer or store location.

Our Walmart third-party vendors list contains 400,000+ records.

Sample data: https://docs.google.com/spreadsheets/d/1Qjoz5i-Oc9AvHJq3QM0ZydzKZ73AVjJVcH7Iioo3YdE

We can create a custom seller list based on your criteria e.g. sellers from specific states or cities, with over 100 seller reviews, Pro sellers only etc.

Pricing: <2,000 leads: $0.49 per lead 2,000-4,999 leads: $0.39 per lead 5,000+ leads: $0.29 per lead

We update our list every month to keep the seller stats up to date.

Get access to the Walmart Basic Product Details Dataset, which includes essential information on a wide range of products available at Walmart.

This comprehensive dataset features product names, categories, descriptions, prices, and more. Ideal for market analysis, competitive research, and e-commerce applications.

Download now to enhance your data-driven strategies and insights with detailed Walmart product information.

The dataset having basic details of a dataset like title, id, image, price and descripton.

Records count: 2.5 million +

Dataset

This dataset was created by Godwin Abah

Released under CC0: Public Domain

Contents

About this Dataset

Walmart data in CSV format extracted by crawl feeds team using in-house tools. Last extracted on 15 Aug 2022.

Category

Product Lists

Keywords

Walmart dataset,retail datasets,ecommerce datasets

Row Count

10

Price

Free

This dataset contains detailed information about 500 Walmart store records, providing insights into various store characteristics. The data is focused on store-related attributes, which are crucial for analyzing store performance and customer demographics.

Columns in Store Data Sheet:

Discount_Rate: The discount rate offered by the store (in percentage). Customer_Age: The average age of customers visiting the store. Store_Size: The size of the store (in square feet). Inventory_Level: The level of inventory available in the store. Number_of_Employees: The number of employees working in the store. Marketing_Spend: The amount spent on marketing (in USD). Family: Indicates if the store targets family customers (Yes/No). Kids: Indicates if the store targets customers with kids (Yes/No). Weekend: Indicates if the data was collected on a weekend (Yes/No). Holiday: Indicates if the data was collected during a holiday (Yes/No). Foot_Traffic: The number of customers visiting the store. Average_Transaction_Value: The average value of transactions (in USD). Online_Sales: The online sales generated by the store (in USD). Purpose: The dataset is designed to help analyze various factors that influence store performance at Walmart. It can be used for statistical analysis, machine learning, and business strategy development to optimize store operations and marketing efforts.

Usage: Researchers, analysts, and business strategists can leverage this dataset to:

Identify patterns and trends in store performance. Develop predictive models for understanding customer demographics. Evaluate the impact of different variables on store operations. Optimize inventory and staffing levels based on customer behavior.

Get the latest USA Walmart import data with importer names, shipment details, buyers list, product description, price, quantity, and major US ports.

Get instant access to a ready-to-use Walmart Product Dataset featuring accurate product listings from US Walmart stores. Includes store information, pricing, UPCs, categories, and product images—perfect for retail analysis, market research, or eCommerce planning.

Walmart International had a total of 403 stores throughout Canada as of October 31, 2024, whereas in Mexico, the company had 3,066 stores. Walmart, formerly known as Wal-Mart Stores, Inc., is one of the most well-known and valuable brands in the world. Walmart began in the United States as a single discount store, whose model was to sell more for less. Nowadays, Walmart has discount stores, supercenters, and neighborhood markets around the world. The multinational company has developed into the largest retailer in the world. Powerhouse of retail in both domestic and international markets Walmart deals in a wide variety of products, such as groceries, apparel, furniture, home appliances, and electronics. The company operates through three distinct business segments: Walmart U.S., Walmart International, and Sam’s Club. Walmart’s strongest segment, in terms of revenue, is Walmart U.S., which operates retail stores in the company’s domestic market of the United States. This segment also includes Walmart’s U.S. eCommerce website: walmart.com. The company’s Walmart International and Sam’s Club business divisions operate globally generating revenue through retail, wholesale, membership club, and online product sales. As of fiscal year 2024, around one sixth of Walmart’s net sales came from the company’s Walmart International division.

Use our constantly updated Walmart products dataset to get a complete snapshot of new products, categories, pricing, and consumer reviews. You may purchase the entire dataset or a customized subset, depending on your needs. Popular use cases: Identify product inventory gaps and increased demand for certain products, analyze consumer sentiment and define a pricing strategy by locating similar products and categories among your competitors. The dataset includes all major data points: product, SKU, GTIN, currency,timestamp, price,a nd more. Get your Walmart dataset today!

Discover our extensive dataset of electronics category products from Walmart.

This comprehensive collection includes detailed information on a wide range of electronics items, such as televisions, smartphones, laptops, cameras, and more. With data covering product names, categories, specifications, prices, and availability, this dataset is an invaluable resource for market analysis, trend identification, and competitive research.

Ideal for analysts, researchers, and businesses looking to gain insights into Walmart's electronics offerings and enhance their product strategies.

Electronics category products data from Walmart. Data extracted from walmart using crawl feeds in-house tools.

Format: CSV

Datapoints count: 16

Access comprehensive Walmart product data: Prices, categories, reviews, and market insights from America's largest retailer.

The dataset provides comprehensive information on sales transactions conducted by Walmart, one of the leading retail chains globally. It encompasses various attributes including Invoice ID, Branch, City, Customer Type, Gender, Product Line, Unit Price, Quantity, Tax (5%), Total Price, Date, Time, Payment Method, Cost of Goods Sold (COGS), Gross Margin Percentage, Gross Income, and Rating. This rich dataset facilitates detailed analysis and insights into sales patterns, customer preferences, revenue generation, and performance evaluation, empowering businesses to make informed decisions and strategies to enhance their operational efficiency and customer satisfaction.

BlueCart API provides reliable, real-time Walmart product, category, reviews, offers, and search results data. BlueCart API offers comprehensive coverage of each of the product or search results in a cleanly structured output.

Originate your request from any zip code (US) to see results as they would appear to customers in the specified location i.e. shipping info. BlueCart API's high-capacity, global infrastructure assures you high performance and reliability. For easy integration with your Walmart data apps and services, data is delivered in JSON or CSV format.

Data is retrieved by search term, or for single products, by the Walmart Item ID, or a unique global identifier: GTIN/ISBN/UPC. You can also submit a product page URL (product results) or a category ID (category search results) instead. BlueCart API also has reviews coverage for Walmart Canada: you can submit a Walmart Canada item ID or URL-encoded Walmart Canada product page URL in your request.

So what's in So what's in the data from BlueCart API?

Product: - 1st party, 2nd party & 3rd party seller data - Product specifications - Additional product details (e.g., energy efficiency, add-ons) - Imagery - Product videos - Manufacturer product description - Walmart short and full product descriptions - Availability and fulfillment info - Buy Box winner: price, offers - Rating - Reviews (from both walmart.com and walmart.ca) - Promotions

Search Results: - Product details per search result: - Position - Pagination

...and more, depending on your request parameters or the search result.

How can BlueCart API be used? - Product listing management - Price monitoring - Category & product trends monitoring - Market research & competitor intelligence - Location-specific shipping data - Rank tracking on Walmart

Who uses BlueCart API? This data is leveraged by software developers, marketers & business owners, sales & business development teams, researchers, and data analysts & engineers, in ecommerce, other retail business, agencies and SaaS platforms.

Anyone in your organization who works with your digital presence can develop business intelligence and strategy using this advanced product data.

Walmart products sample dataset having 1000+ records in CSV format. Download monthly dataset for walmart data and it having around 100K+ records.

Get 50% discount for all datasets. Link

Walmart Product Reviews Dataset provides an extensive collection of customer feedback that can be pivotal for businesses aiming to understand consumer preferences and behaviors. This dataset includes detailed information such as ratings, reviews, and timestamps, making it an invaluable resource for data analysts and market researchers. By analyzing the data, companies can identify trends, detect potential issues with products, and gauge overall customer satisfaction. Whether you're looking to optimize product offerings or enhance customer service, this dataset is a goldmine of actionable insights.

Leveraging the Walmart Ratings and Reviews Dataset for Competitive Advantage

Utilizing the Walmart Ratings and Reviews Dataset allows businesses to stay ahead of the competition by tapping into authentic customer experiences. This dataset is particularly useful for sentiment analysis, enabling companies to discern the emotional tone behind customer reviews. By doing so, businesses can refine their marketing strategies, address customer concerns proactively, and improve product development processes. Moreover, integrating this dataset with other data sources can provide a comprehensive view of market dynamics, helping companies make informed, data-driven decisions.

Walmart ratings and reviews dataset. Last extracted on 16 aug 2022

According to the data, Walmart's net sales were forecast to be around *** billion U.S. dollars in 2021, following the upsurge in 2020 that was driven by COVID-19. From 2021 onwards, Walmart's net sales were forecast to increase with each consecutive year. By 2026, it was forecast that Walmart's net sales would grow to ***** billion U.S. dollars, which includes store-based and e-commerce net sales.

Comprehensive dataset containing 727 verified Walmart locations in United States with complete contact information, ratings, reviews, and location data.