Walmart Product Dataset – Download Accurate & Ready-to-Use Datasets
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.
Data Overview
Use Cases
Data Samples
| Zip | Store | Location | Logo | Cat. | Sub-cat | Product | Wt | Reg $ | Sale $ | Img URL | Page URL | UPC | Date |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 60074 | Palatine… | 1555 N R… |  | Pantry | Pasta… | Nissin Te… | 4 oz | $1.46 | $0.88 | Image | Link | 00070… | 2024-01-12 |
| 60074 | Palatine… | 1555 N R… | | Pantry | Pasta… | Nissin Te… | 4 oz | $1.46 | $0.88 | Image | Link | 00070… | 2024-01-12 |
| 60074 | Palatine… | 1555 N R… | | Seasonal… | Winter… | Super We… | 8.8 oz | $7.38 | $0.97 | Image | Link | 00876… | 2024-01-12 |
| 60074 | Palatine… | 1555 N R… | | Candy | Choco… | Reese’s … | 1.4 oz | $1.32 | $0.98 | Image | Link | 03400… | 2024-01-12 |
50 States
Nationwide Coverage
1M+ Agents
Verified Agent Records
GDPR & HIPAA
Compliance-ready data.
2+ Years
Historical Data
Get Access to Ready to Use Walmart Product Data
Unlock rich, structured, and up-to-date Walmart product data with APISCRAPY’s premium dataset, designed for eCommerce analysts, retailers, app developers, and market researchers. Our dataset captures comprehensive product-level information directly from Walmart stores across the United States, covering various categories like pantry staples, snacks, beverages, personal care, cleaning supplies, and more.
Each data record includes essential details such as product title, brand, weight, pricing (regular and discounted), UPC codes, high-resolution image URLs, store name, location, logos, and sub-category classification. Whether you’re conducting pricing analysis, competitive research, or building consumer-facing apps, this dataset provides the depth and accuracy you need to scale smarter.
With APISCRAPY’s Walmart Product Dataset, you don’t just get a static data dump—you receive cleaned, organized, and verified information that’s ready for instant use. We go beyond simple scraping by validating each data point for consistency and accuracy across multiple sources.
This is a sample dataset—and we offer full customization. Need more fields like ratings, stock availability, shelf location, or promotional tags? We’ve got you covered. Simply let us know your specific requirements, and we’ll tailor the dataset to fit your goals perfectly.
Choose APISCRAPY for high-quality Walmart product data and experience the difference that trusted, scalable, and insightful information makes for your next retail project or business strategy.
Get Data Now
APISCRAPY is an AI-driven web scraping and automation tool that converts any web data into ready-to-use data API. The tool is capable to extract data from websites, process data, automate workflows, classify data and integrate ready-to-consume data into database or deliver data in any desired format.
Ready to Optimize Your Retail Strategy?
Get access to reliable Walmart Product Data—covering prices, categories, store locations, and more. Perfect for businesses, marketers, and developers looking to enhance their retail insights and stay ahead of the competition.
Get a free quote for your project. Reach out today.
Jyotish 
Chief Data Officer
Scalable Web Scraping Solution
Guaranteed Data Quality Assurance
Flexible Integrations for Workflow
Maximum Privacy for Your Data
Web scraping
$25* per website
Walmart Product Datasets: What’s Inside?
product_title – Name of the product (e.g., Nissin Teriyaki Beef Flavor Chow Mein Noodles)
weight – Net weight or volume (e.g., 4 oz)
category – Broad product category (e.g., Pantry)
sub_category – More specific classification (e.g., Pasta & Pizza)
brand_name – Brand under which the product is sold (if available)
regular_price – Original price before discounts
sale_price – Current promotional or discounted price
price_per_unit – Standardized pricing for per unit comparison (optional field)
availability_status – Indicates stock status like “In Stock”, “Out of Stock”
rating – Average customer rating (if available)
review_count – Number of reviews received
image_url – Link to product image
url – Direct link to Walmart product page
upc – Universal Product Code for unique identification
crawl_date – The date the data was collected
- Trusted by
Country Coverage
(4 Countries)
North America (2)
United States Of America
Canada
Australia (1)
Austraila
Europe (1)
United Kingdom
Suitable Company Sizes
Small Business
Medium-sized Business
Enterprise
750+
Happy Clients & Growing
2500+
Projects delivered
12+
Years of Sharing & Caring
Walmart Product Dataset Use Cases
Let’s explore the key use cases of APISCRAPY’s Walmart product data and how this comprehensive, accurate, and up-to-date information can be leveraged across different industries to drive informed decision-making and support business growth.
Retail Price Monitoring
Track and compare Walmart’s product pricing across categories and locations to monitor price fluctuations, identify trends, and adjust your pricing strategy for maximum competitiveness.
Market Research & Product Analysis
Use the dataset to analyze Walmart’s product assortment, identify top-selling categories, and uncover gaps or emerging trends for informed product development or category expansion.
Competitor Benchmarking
Compare Walmart’s offerings with those of other major retailers to evaluate how your brand or store measures up in pricing, branding, availability, and store-level promotions.
eCommerce Product Matching
Match Walmart product listings to your online store inventory to optimize product titles, images, and metadata for better search performance and user experience.
Data Enrichment for Catalogs
Enhance your product databases with high-quality, verified Walmart product attributes, including descriptions, images, UPCs, and more, to improve catalog quality and accuracy.
Store-Level Intelligence
Gain location-specific insights into product availability and pricing by analyzing store-level data, helping with logistics, regional marketing, or inventory management strategies.
Dynamic Pricing Strategy
Use Walmart’s real-time pricing and promotions data to power dynamic pricing engines, ensuring your offerings stay competitive and optimized for profit margins.
Consumer Behavior Analysis
Analyze product placement, availability, and discount patterns to infer consumer buying trends and behavior across U.S. regions and retail categories.
App & Tool Development
Integrate Walmart product data into shopping, coupon, or retail comparison, empowering users with accurate, real-time product info and boosting app engagement.
AI-Powered Walmart Product Datasets
We leverage advanced algorithms to enhance our comprehensive U.S. Walmart Product Dataset—filling in gaps, verifying data accuracy, and adding high-value product details for smarter business decisions.
01.
Walmart product data is sourced from multiple verified platforms and stores across the U.S.
02.
The data is filtered, cleaned, and standardized—removing duplicates and ensuring each entry is accurate and consistent.
03.
We enrich the dataset with detailed product information, including category, pricing, store locations, and other essential business details, making it easier to identify trends and make informed decisions.
Easy Integration
Oracle
MySQL
MS SQL Server
PostgreSQL
Microsoft Access
Redis
MongoDB
Snowflake
Elastic search
IBM Db2
Sqlite
Cassandra
Databricks
Splunk
Azure SQL
Apache Hive
Google BigQuery
Neo4j
Data Listing Plan Comparison Table
The Data Listing Plan Comparison Table provides a concise overview of APISCRAPY’s available plans, allowing you to easily compare features, pricing, and benefits. It highlights key aspects such as data entries, update frequency, and support, helping you choose the plan that best fits your needs.
| Data Fields | Basic Plan | Premium Plan |
| Access to Core Data Fields | ❌ | |
| Advanced Data Fields | ❌ | |
| Contact/Email/Phone Data | ❌ | |
| Pricing Insights / Market Trends | ❌ | |
| Custom Field Requests | ❌ | |
| Real-Time Data Updates | ||
| Historical Data Access | ❌ | |
| API Access | ||
| Data Filtering & Query Options | ❌ | |
| Data Freshness | Weekly Updates | Daily or Real-Time |
| Priority Support | ❌ | |
| Usage Analytics Dashboard | ❌ | |
| SLA & Data Accuracy Guarantee | ❌ | |
| Data Access Quota (Searches) | 2,000 searches/month | Unlimited Searches |
| CRM Enrichment | Manual Only | Automatic Enrichment |
| CRM Filters / Integrations | Basic Filters Only | Advanced CRM Filtering |
| Dedicated Account Manager | ❌ |
Data Delivery Options
Delivery Methods
How the data is transferred or accessed by the user.
| S3 Bucket |
| SFTP |
| UI Export |
| REST API |
| SOAP API |
| Streaming API |
| Feed API |
| Google Cloud Storage (GCS) |
| Azure Blob Storage |
| Google Drive / Dropbox |
Update Frequency
How often the data is updated or made available.
| secondly |
| minutely |
| hourly |
| daily |
| weekly |
| monthly |
| quarterly |
| yearly |
| real-time |
| on-demand |
| Custom Schedule |
Data Formats
The file or structural format in which data is provided.
| .bin |
| .json |
| .xml |
| .csv |
| .xls |
| .sql |
| .txt |
| HTML (for human-readable previews) |
| PDF reports |
| ZIP (compressed packages) |
Industried Covered
Retail & eCommerce
Retailers and online marketplaces can analyze Walmart’s inventory, pricing, and product assortment to refine their merchandising and pricing strategies.
Consumer Goods
Brands can track product visibility, placement, and price fluctuations across Walmart stores to optimize product launches and distribution.
Market Research & Consulting
Firms use the dataset to perform competitive analysis, price benchmarking, and trend identification for client reports and strategic recommendations.
Data Aggregation & Analytics
Data platforms and analysts can enrich dashboards or tools with Walmart product information for better business insights and forecasting.
App & Software Development
Developers building shopping apps, price trackers, or comparison engines can use Walmart’s structured product data to enhance functionality and user experience.
Logistics & Supply Chain
Supply chain teams use store-level availability data to monitor distribution patterns and optimize product stocking strategies.
Advertising & Digital Marketing
Marketers use product details and pricing trends to create targeted ads, landing pages, and promotional campaigns aligned with retail activity.
AI/ML Model Training
Companies can use structured product data to train machine learning models for recommendation engines, demand forecasting, or NLP applications.
Business Intelligence (BI)
BI teams can integrate the dataset into dashboards to track retail performance, pricing effectiveness, and market coverage across U.S. locations.
Financial Services & Investment
Investors and financial analysts use product pricing and availability trends to assess the retail performance of companies, making more informed decisions regarding investments in retail stocks.
Product Development & Innovation
Product manufacturers and R&D teams use detailed data on Walmart’s product offerings to identify gaps in the market, inform new product ideas, and improve existing product lines.
Price Optimization & Dynamic Pricing
Businesses can leverage product and pricing information to implement real-time price optimization strategies, ensuring they stay competitive and maximize profit margins in a fast-changing retail environment.
Our assurance to security & quality
Why You Should Go With APISCRAPY
Experience
12+ years
of sharing and caring.
Projects
2500+ Projects
delivered with a smile.
Retention
98%
engagement success rate.
Quick
Scale-up
as per your requirement.
Certified
ISO 9001 & 27001
data quality & security.
Clients
750+
served across industries.
Compliant with the Highest Data Privacy Standards
APISCRAPY is proudly certified by the Ethical Web Data Collection Initiatives. We collect only publicly available, business-related information—never private or sensitive data. We strictly avoid scraping content behind login-protected or restricted areas.
Client Testimonials
Does this product fit your data needs?
Get in touch with our team to start unlocking your data solutions.
FAQs: Walmart Product Data for Retail Intelligence & Analysis
What is Walmart product data?
Walmart product data is structured information collected from Walmart’s online and store listings. It includes product titles, categories, prices, availability, UPCs, images, store names, and more.
What kind of information is included in the Walmart dataset?
The dataset typically includes fields like store name and location, product title, category, subcategory, brand, regular and sale price, product images, UPC, availability, ratings, reviews, and crawl date.
How often is the Walmart data updated?
The data is generally updated on a regular basis—daily, weekly, or monthly—depending on the use case. We provide the crawl date in each entry for reference.
Is this Walmart data real-time or historical?
It can be both. We provide up-to-date datasets and also offer historical Walmart data for pricing trends, competitive benchmarking, or sales analysis.
Can I get Walmart store-level data?
Yes. The dataset includes store-specific details like store name, address, and ZIP code, helping you analyze pricing or availability at the local level.
Can this dataset be customized to specific product categories?
Absolutely. You can request custom datasets filtered by category (e.g., electronics, grocery), location, store format (Supercenter, Neighborhood Market), or specific fields like price history or stock status.
Is Walmart pricing data included?
Yes, the dataset includes both regular price and sale price, enabling price comparison, discount analysis, and market monitoring.
How can Walmart product data be used for business?
It helps retailers track competitors, analyze pricing strategies, monitor stock levels, and optimize product listings. Analysts and marketers use it for trend analysis and market insights.
Is the Walmart data legal to use?
Yes. The data is collected from publicly available sources and complies with applicable data usage policies. However, always ensure use aligns with your organization’s compliance standards.
Can I integrate Walmart data into my existing tools or dashboards?
Yes. The data is usually delivered in standard formats like CSV or JSON, making it easy to import into analytics platforms, BI tools, or product databases.
How can Walmart data benefit a brand or supplier?
Brands can monitor how their products are listed, priced, and promoted at Walmart, spot MAP violations, assess shelf competition, and analyze customer reviews.
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