Walmart Datasets
Walmart datasets refer to collections of structured data related to Walmart. The datasets contain different data points such as: +Show More
| Products | Position | Customer satisfaction | |||
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Bright Data Datasets |
Leader
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N/A
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Get pre-collected datasets that cover a wide range of data points of entire websites. Identify and analyze trends, find companies, people, and social media influencers, optimize your eCommerce activity, or obtain data for your machine learning algorithms.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
1k-2k employees
Company's social media followers
30k-40k followers
Company
Type of company
private
Founding year
1901
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Databricks |
Leader
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Satisfactory
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Databricks is the data and AI company. More than 5,000 of organizations worldwide — including Comcast, Condé Nast, Nationwide, H&M, and over 40% of the Fortune 500— rely on Databricks’ unified data platform for data engineering, machine learning and analytics. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
100-200 case studies
Company's number of employees
5k-10k employees
Company's social media followers
100k-1m followers
Total funding
$1-5bn
# of funding rounds
12
Latest funding date
February 27, 2024
Company
Type of company
private
Founding year
2013
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Oxylabs |
Leader
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Satisfactory
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Provides:\\
More than 177M IPs in 195 countries worldwide, including residential, mobile, datacenter, ISP, and SOCKS5 proxy servers.\\ Large-scale scraping of public web data without being detected and blocked by the target websites.\\ Web Unblocker to collect data at scale from JavaScript-heavy websites.\\ API-based web scrapers\\ Web datasets for teams that want to get fresh, structured web data without building a web scraping and parsing infrastructure Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
300-400 employees
Company's social media followers
20k-30k followers
Company
Type of company
private
Founding year
2015
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Zyte |
Leader
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Satisfactory
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Offers proxy networks, API for data collection activities, and web data extraction services for businesses.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
200-300 employees
Company's social media followers
40k-50k followers
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Stackline |
Leader
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N/A
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Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
200-300 employees
Company's social media followers
10k-20k followers
Total funding
$100-250m
# of funding rounds
2
Latest funding date
June 8, 2021
Last funding amount
$100-250m
Company
Type of company
private
Founding year
2014
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Actowiz Solutions |
Challenger
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N/A
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Actowiz offers ready-to-use data and web scraping services, includes mobile app scraping and web scraping API to extract Data from iOS and Android apps.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
100-200 employees
Company's social media followers
5k-10k followers
Company
Type of company
private
Founding year
2020
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Techsalerator Global B2B Data Intelligence |
Challenger
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N/A
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With 270M+ Businesses covered , Techsalerator has access to the highest B2B count of Data on a worldwide scale . Thanks to our unique tools and data sourcing team, we can select the ideal targeted dataset based on unique elements such as the sales volume of a company, the company's location, # of employees etc... Whether a company is looking for an entire fill install, an access to one of our API's or a one-time targeted purchase, the global firmographic Database from Techsalerator is the best option out there.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
50-100 employees
Company's social media followers
10k-20k followers
Company
Type of company
private
Founding year
2020
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“-”: AIMultiple team has not yet verified that vendor provides the specified feature. AIMultiple team focuses on feature verification for top 10 vendors.
Sources
AIMultiple uses these data sources for ranking solutions and awarding badges in walmart datasets:
Walmart Datasets Leaders
According to the weighted combination of 4 metrics
What are walmart datasets
customer satisfaction leaders?
Taking into account the latest metrics outlined below, these are the current walmart datasets customer satisfaction leaders:
Which walmart datasets solution provides the most customer satisfaction?
AIMultiple uses product and service reviews from multiple review platforms in determining customer satisfaction.
While deciding a product's level of customer satisfaction, AIMultiple takes into account its number of reviews, how reviewers rate it and the recency of reviews.
- Number of reviews is important because it is easier to get a small number of high ratings than a high number of them.
- Recency is important as products are always evolving.
- Reviews older than 5 years are not taken into consideration
- older than 12 months have reduced impact in average ratings in line with their date of publishing.
What are walmart datasets
market leaders?
Taking into account the latest metrics outlined below, these are the current walmart datasets market leaders:
Which one has collected the most reviews?
AIMultiple uses multiple datapoints in identifying market leaders:
- Product line revenue (when available)
- Number of reviews
- Number of case studies
- Number and experience of employees
- Social media presence and engagement
What are the most mature walmart datasets?
Which one has the most employees?
Which walmart datasets companies have the most employees?
269 employees work for a typical company in this solution category which is 246 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 7 companies with >10 employees are offering walmart datasets. Top 3 products are developed by companies with a total of 10k employees. The largest company in this domain is Databricks with more than 9,000 employees. Databricks provides the walmart datasets solution: Databricks
Insights
What are the most common words describing walmart datasets?
This data is collected from customer reviews for all walmart datasets companies. The most positive word describing walmart datasets is “Customer support” that is used in 3.00% of the reviews. The most negative one is “Expensive” with which is used in 1% of all the walmart datasets reviews.
What is the average customer size?
According to customer reviews, most common company size for walmart datasets customers is 1-50 Employees. Customers with 1-50 Employees make up 42% of walmart datasets customers. For an average Web Data solution, customers with 1-50 Employees make up 19% of total customers.
Customer Evaluation
These scores are the average scores collected from customer reviews for all walmart datasets. Walmart Datasets are most positively evaluated in terms of "Customer Service" but falls behind in "Value For Money".
Where are walmart datasets vendors' HQs located?
Trends
What is the level of interest in walmart datasets?
This category was searched on average for 359 times per month on search engines in 2024. This number has decreased to 0 in 2025. If we compare with other web data solutions, a typical solution was searched 546 times in 2024 and this decreased to 0 in 2025.
Learn more about Walmart Datasets
Walmart dataset is a collection of structured product data points, including pricing, reviews, images, ratings, number of reviews, and categories IDs.
A typical Walmart dataset include the following types of data:
- Product details: Name, product id, product category, price, URL, and images
- Store information: Location, size, and number of employees
- Performance metrics: ratings and reviews.
The frequency of updates for a Walmart dataset depends on data service provider. Some providers update data in real-time or based on a predefined schedule.
Walmart datasets can be useful for in severala ways, including:
- Consumer market analysis: Walmart sales data can prive insights into which products are performing well and what consumers are buying. It enables businesses to identify seasonal trends and geographic trends in consumer behavior.
- Sales forecasting: Predict future sales by using historical sales data.
- Pricing optimization: Offer insights into the performance of various product categories, which can be useful for determining optimal price points.