This is a map of the locations of all of the WalMart stores throughout the United States. This dataset geocodes the street address of the Walmarts and shows their locations on the map along with their phone numbers for more information. This data was found at a Walmart Locations website which aggregated the locations by state. here is our Source for the information: http://www.priceviewer.com/walmart_locations/

SpaceKnow USA Supply Chain Premium Dataset gives you data (by locations and company) of US Supply Chain choke points in near-real-time as seen from satellite images. The uniqueness of this dataset lies in its granularity.

About dataset: We apply proprietary algorithms to SAR satellite imagery of key industrial, transportation, storage, and logistics locations to create daily indices of industry activity. Data was collected from more than 5,000 locations across the USA. Thanks to the use of SAR satellite technology, the quality of the SpaceKnow dataset is not influenced by weather fluctuations.

In total SpaceKnow USA Supply Chain dataset offers +50 specific indices with real-time insights. The premium dataset includes company-focused indices. This type of data can be used by investors to get insight on important KPIs such as revenue.

This dataset is:

Daily frequency History from Jan 2017 - present

Within one package we provide you with real-time insights into:

Port Container country-level indices(A container port or container terminal is a facility where cargo containers are transshipped between different transport vehicles, for onward transportation) Port Container indices for the major ports in US: Port of Los Angeles Port of Long Beach Port of New York & New Jersey Port of Savannah Port of Houston Port of Virginia Port of Oakland in California Port of South Carolina Port of Miami

Trucking Stop indices for the most important locations in the supply chain like: Iowa Nevada South Carolina Oregon North Carolina

Inland Containers index on a country-level

Logistics Center index on a country-level (Logistics centers are distribution hubs for finished goods that need to be transported to another location. We include logistics centers from companies like Amazon, Walmart, Fedex and others)

Logistics Center indices for states like: California New York Illinois Indiana South Carolina And many more…

Logistics Center indices for companies: Amazon Walmart Fedex

Research Reports Don't have the capacity to analyze the data? Let SpaceKnow's in-house economists do the heavy lifting so that you can focus on what's important. SpaceKnow writes research reports based on what the data from the US Supply Chain dataset package is showing. The document includes a detailed explanation of what is happening with supporting charts and tables. The reports are published on a monthly basis.

Delivery Mechanisms All of the delivery mechanisms detailed below are available as part of this package. Data is distributed only in the flat-table CSV format. Methods how to access the data: Dashboard - option that also offers data visualization within the webpage Automatic email delivery API access to our dataset Research reports - provided via email in PDF format

Client Support

Each client is assigned an account representative who will reach out periodically to make sure that the data packages are meeting your needs. Here are some other ways to contact SpaceKnow in case you have a specific question.

For delivery questions and issues: Please reach out to support@spaceknow.com

For data questions: Please reach out to product@spaceknow.com

For pricing/sales support: Please reach out to info@spaceknow.com or sales@spaceknow.com

1) Data Introduction • The Walmart Dataset includes weekly sales, weather and economic indicators, and holiday information for 45 Walmart stores in the United States from February 2010 to November 2012.

2) Data Utilization (1) Walmart Dataset has characteristics that: • The dataset provides a variety of time-series and economic characteristics, including store numbers, dates, weekly sales, holiday status, temperature, oil prices, consumer price index (CPI), unemployment, and more. (2) Walmart Dataset can be used to: • Sales forecasting model development: It can be used to build machine learning regression models that predict future sales by leveraging weekly sales and economic and environmental factors. • Analyzing Promotion and Holiday Effects: Analyzing the impact of holiday and promotion periods on sales can be used to develop marketing and inventory management strategies.

In the fiscal year ended January 31, 2025, Walmart's global net sales amounted to 674.5 billion U.S. dollars, an increase of approximately five percent in comparison to a year earlier. WalmartWalmart was founded in 1962 by Sam Walton when he and his brother James “Bud” Walton opened the first Wal-Mart Discount City in Rogers, Arkansas. Since then, Walmart has grown to become the largest publicly-owned retail company in the world. In the United States, the company includes Walmart discount stores, supercenters, neighborhood markets, and Sam’s Club warehouse membership clubs. The company also has many international operations. Walmart is considered a variety store which focuses on low prices featuring apparel as well as hard goods, and has been committed to upholding their basic value of customer service.Beginning in the early 1990s, Walmart went to great lengths to increase their market share. They introduced a full line of groceries into their stores, diversified their market by appealing to certain ethnic groups through bilingual advertisements, and took steps to promote the awareness of environmental issues.As of 2025, Walmart operated 10,771 stores worldwide; with 4,605 of those stores located in the United States alone.

Dividend-Retention-Rate Time Series for Walmart Inc. Walmart Inc. engages in the operation of retail and wholesale stores and clubs, eCommerce websites, and mobile applications worldwide. The company operates through three segments: Walmart U.S., Walmart International, and Sam's Club. It operates supercenters, supermarkets, warehouse clubs, cash and carry stores, and discount stores under Walmart and Walmart Neighborhood Market brands; membership-only warehouse clubs; and ecommerce websites, such as walmart.com.mx, walmart.ca, flipkart.com, PhonePe and other sites. The company also offers grocery items, including dry grocery, snacks, dairy, meat, produce, deli and bakery, frozen foods, alcoholic and nonalcoholic beverages, as well as consumables, such as health and beauty aids, pet supplies, household chemicals, paper goods, and baby products; and fuel and other categories. In addition, it is involved in the provision of health and wellness products covering pharmacy, optical and hearing services, over-the-counter drugs, and protein and nutrition products; and home, hardlines, and seasonal items, including home improvement, outdoor living, gardening, furniture, apparel, jewelry, tools and power equipment, housewares, toys, and mattresses. Further, the company offers consumer electronics and accessories, software, video games, office supplies, appliances, and third-party gift cards. Additionally, it operates digital payment platforms; offers financial services and related products, including money transfers, bill payments, money orders, check cashing, prepaid access, co-branded credit cards, installment lending, and earned wage access; and markets lines of merchandise under private and licensed brands. The company was formerly known as Wal-Mart Stores, Inc. and changed its name to Walmart Inc. in February 2018. Walmart Inc. was founded in 1945 and is based in Bentonville, Arkansas.

Introducing E-Commerce Product Datasets!

Unlock the full potential of your product strategy with E-Commerce Product Datasets. Gain invaluable insights to optimize your product offerings and pricing, analyze top-selling strategies, and assess customer sentiment.

Our E-Commerce Datasets Source:

1. Amazon: Access accurate product data from Amazon, including categories, pricing, reviews, and more.

2. Walmart: Receive comprehensive product information from Walmart, covering pricing, sellers, ratings, availability, and more.

E-Commerce Product Datasets provide structured and actionable data, empowering you to understand customer needs and enhance product strategies. We deliver fresh and precise public e-commerce data, including product names, brands, prices, number of sellers, review counts, ratings, and availability.

You have the flexibility to tailor data delivery to your specific needs:

• Receive datasets in various formats, including JSON and CSV.
• Choose delivery via SFTP or directly to your cloud storage (e.g., AWS S3, Google Cloud Storage).
• Select from one-time, monthly, quarterly, or bi-annual data delivery frequencies.

Why Choose Oxylabs E-Commerce Datasets:

1. Fresh and accurate data: Access clean and structured public e-commerce data collected by our leading web scraping professionals.

2. Time and resource savings: Let our experts handle data extraction at an affordable cost, allowing you to focus on your core business objectives.

3. Customizable solutions: Share your unique business needs, and our team will craft customized dataset solutions tailored to your requirements.

4. Legal compliance: Partner with a trusted leader in ethical data collection, endorsed by Fortune 500 companies and fully compliant with GDPR and CCPA regulations.

Pricing Options:

Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

Experience a seamless journey with Oxylabs:

• Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
• Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
• Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
• Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

Unlock the potential of your e-commerce strategy with E-Commerce Product Datasets!

Gain a competitive edge using APISCRAPY's Walmart Data services. Explore E-commerce trends, leverage Walmart API, and access Product Data effortlessly. Enjoy seamless integration, 50% cost savings, and start with a complimentary free sample.

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.

The Exposure Forecaster Database (ExpoCastDB) is EPA's database for aggregating chemical exposure information and can be used to help with chemical exposure predictions. The database currently includes biomonitoring exposure data from three studies: the American Healthy Homes Survey, the First National Environmental Health Survey of Child Care Centers and the Children's Total Exposure to Persistent Pesticides and Other Persistent Organic Pollutants study. Data include the amounts of chemicals found in food, drinking water, air, dust indoor surfaces and urine. The database will eventually include high-throughput exposure predictions for thousands of chemicals based on manufacture and use information. EPA researchers developed high-throughput exposure models to predict exposures for 1,763 chemicals using production volume, environmental fate and transport models, and a simple indicator of consumer product use.The model is being improved by adding more refined indoor and consumer use information since these are also large determinants of exposure. As these models are refined and more exposure data is collected, it will be added to ExpoCastDB.

Xtract.io’s Walmart & Sam’s Club Location Data provides complete coverage of one of the largest retail networks in North America. This retail POI dataset includes precise geocoded coordinates and warehouse locations, enabling detailed market analysis, site selection, supply chain planning, and competitive benchmarking.

• Retail investors, analysts, and researchers can use this dataset to:

• Assess market penetration and retail density.

• Identify expansion opportunities for new stores or distribution centers.

• Benchmark against competitors in the retail sector.

• Understand consumer behavior and catchment areas.

As part of LocationsXYZ, Xtract.io’s POI data platform, this dataset is supported by a repository of over 6 million POIs across the US, UK, and Canada, spanning various industries, including retail, restaurants, healthcare, automotive, and public utilities.

Why Choose LocationsXYZ?

• 95% accuracy across store and warehouse locations.

• Regular refresh cycles (30, 60, or 90 days).

• On-demand attributes tailored to your retail use case.

• Handcrafted boundaries (polygons) for precise spatial analysis.

• Multiple formats for seamless integration into GIS, BI, and analytics platforms.

Unlock the Power of Retail Location Data

With our Walmart and Sam’s Club dataset, businesses can:

• Conduct thorough market and competitor analyses.

• Optimize supply chain routes and warehouse planning.

• Support real estate and site selection decisions.

• Gain a competitive advantage with location-driven retail intelligence.

LocationsXYZ has empowered enterprises with geospatial insights to expand, compete, and grow confidently. Unlock the potential of retail POI data with Walmart and Sam’s Club coverage across the US and Canada.

This information is derived from inspections of restaurants and other food establishments in Chicago from January 1, 2010 to the present. Inspections are performed by staff from the Chicago Department of Public Health’s Food Protection Program using a standardized procedure. The results of the inspection are inputted into a database, then reviewed and approved by a State of Illinois Licensed Environmental Health Practitioner (LEHP). For descriptions of the data elements included in this set, go to http://bit.ly/tS9IE8
Disclaimer: Attempts have been made to minimize any and all duplicate inspection reports. However, the dataset may still contain such duplicates and the appropriate precautions should be exercised when viewing or analyzing these data. The result of the inspections (pass, pass with conditions or fail) as well as the violations noted are based on the findings identified and reported by the inspector at the time of the inspection, and may not reflect the findings noted at other times. For more information about Food Inspections, go to http://bit.ly/tD91Sb.

MealMe provides comprehensive grocery and retail SKU-level product data, including real-time pricing, from the top 100 retailers in the USA and Canada. Our proprietary technology ensures accurate and up-to-date insights, empowering businesses to excel in competitive intelligence, pricing strategies, and market analysis.

Retailers Covered: MealMe’s database includes detailed SKU-level data and pricing from leading grocery and retail chains such as Walmart, Target, Costco, Kroger, Safeway, Publix, Whole Foods, Aldi, ShopRite, BJ’s Wholesale Club, Sprouts Farmers Market, Albertsons, Ralphs, Pavilions, Gelson’s, Vons, Shaw’s, Metro, and many more. Our coverage spans the most influential retailers across North America, ensuring businesses have the insights needed to stay competitive in dynamic markets.

Key Features: SKU-Level Granularity: Access detailed product-level data, including product descriptions, categories, brands, and variations. Real-Time Pricing: Monitor current pricing trends across major retailers for comprehensive market comparisons. Regional Insights: Analyze geographic price variations and inventory availability to identify trends and opportunities. Customizable Solutions: Tailored data delivery options to meet the specific needs of your business or industry. Use Cases: Competitive Intelligence: Gain visibility into pricing, product availability, and assortment strategies of top retailers like Walmart, Costco, and Target. Pricing Optimization: Use real-time data to create dynamic pricing models that respond to market conditions. Market Research: Identify trends, gaps, and consumer preferences by analyzing SKU-level data across leading retailers. Inventory Management: Streamline operations with accurate, real-time inventory availability. Retail Execution: Ensure on-shelf product availability and compliance with merchandising strategies. Industries Benefiting from Our Data CPG (Consumer Packaged Goods): Optimize product positioning, pricing, and distribution strategies. E-commerce Platforms: Enhance online catalogs with precise pricing and inventory information. Market Research Firms: Conduct detailed analyses to uncover industry trends and opportunities. Retailers: Benchmark against competitors like Kroger and Aldi to refine assortments and pricing. AI & Analytics Companies: Fuel predictive models and business intelligence with reliable SKU-level data. Data Delivery and Integration MealMe offers flexible integration options, including APIs and custom data exports, for seamless access to real-time data. Whether you need large-scale analysis or continuous updates, our solutions scale with your business needs.

Why Choose MealMe? Comprehensive Coverage: Data from the top 100 grocery and retail chains in North America, including Walmart, Target, and Costco. Real-Time Accuracy: Up-to-date pricing and product information ensures competitive edge. Customizable Insights: Tailored datasets align with your specific business objectives. Proven Expertise: Trusted by diverse industries for delivering actionable insights. MealMe empowers businesses to unlock their full potential with real-time, high-quality grocery and retail data. For more information or to schedule a demo, contact us today!

This information is derived from inspections of restaurants and other food establishments in Chicago from January 1, 2010 to the present. Inspections are performed by staff from the Chicago Department of Public Health’s Food Protection Program using a standardized procedure. The results of the inspection are inputted into a database, then reviewed and approved by a State of Illinois Licensed Environmental Health Practitioner (LEHP). For descriptions of the data elements included in this set, go to http://bit.ly/tS9IE8
Disclaimer: Attempts have been made to minimize any and all duplicate inspection reports. However, the dataset may still contain such duplicates and the appropriate precautions should be exercised when viewing or analyzing these data. The result of the inspections (pass, pass with conditions or fail) as well as the violations noted are based on the findings identified and reported by the inspector at the time of the inspection, and may not reflect the findings noted at other times. For more information about Food Inspections, go to http://bit.ly/tD91Sb.