Best Retail Datasets, Databases & APIs

What is Retail Data?

Retail data is information that the owner of a retail business can collect to improve their business. This data gives retailers insight into their customer base, sales trends, and inventory across the retail industry. Datarade helps you find retail data APIs and datasets. Learn more

50+ Results
Start icon5.0(17)

Consumer Data | Aggregated Spend Patterns | Retail Transactions

SafeGraph Spend is an aggregated transaction dataset of consumer data containing spending behavior at ... This dataset includes transaction consumer data at individual POIs in the US based on aggregated debit
Available for 1 countries
400K POI
2 years of historical data
100% fill rates
Starts at
$250 / purchase
Free sample available

Geolytica Points of Interest (POI) Geo Data - China

pipeline API publishes the datasets on our data store POI Data is in a constant flux - especially ... the data was purchased as a one time snapshot, or via a recurring payment plan on our data update pipeline
Available for 1 countries
11.6M records
100% Coverage
Starts at
$40 / purchase
Free sample preview
10% Datarade discount
Free sample available

Scrape Retail Data Worldwide Using E-Commerce APIs from X-Byte

by X-Byte
X-Byte’s cloud-based web scraping platform offers clean and ready-to-utilize retail data using our data ... X-Byte’s cloud-based web scraping platform offers clean and ready-to-utilize retail data using our data
Available for 249 countries
Pricing available upon request
Free sample available - Point-of-interest (POI Data) | All Shopping and Retail Stores in US and Canada

by Xtract
This core point-of-interest dataset consists of 1M location information of retail stores in the US and ... , across 11 diverse industries such as retail, restaurants, healthcare, automotive, public utility points
Available for 2 countries
1.05M Locations
12 months of historical data
96% Accuracy
Starts at
$2,450 / month
Free sample preview
Free sample available
Start icon5.0(17)

Retail Data | US Cross Shopping Transactions

SafeGraph’s Spend contains anonymized debit and credit card transaction data aggregated to individual ... Our Places Summary Statistics(3) is updated with every monthly release to reflect data coverage.
Available for 1 countries
Pricing available upon request
Start icon4.3(1)

Company Data of 38M Retail companies worldwide

With over 38 million businesses, all held in-house, BoldData has the largest supply of retail data. ... BoldData provides a high quality customized list with all 38,554,063 retail companies worldwide.
Available for 249 countries
38.6M Companies
4 years of historical data
99% Registered companies
Starts at
€425 / purchase
Free sample available
Start icon5.0(2)

Online Retail Database | eCommerce Stores List 2022 | 5 Million eCommerce Stores Worldwide | 15+ eCommerce Platforms | Real-Time Verified Data

eCommerce Store List 2022. 5 Million Online Retail Business Worldwide. 15+ eCommerce Platforms • 5M eCommerce ... Data We have millions of eCommerce data ready to go no matter where you are.
Available for 240 countries
5M Records
10 years of historical data
95% Accuracy Guaranteed
Starts at
$100 / purchase
Free sample preview
Free sample available

Retail data worldwide & ecommerce APIs from Datahut

by Datahut
Datahuts cloud-based data extraction platform delivers clean, ready-to-use retail data at scale using ... Our customers use Retail data feeds and APIs to understand the competitive landscape and also do a variety
Available for 249 countries
Available Pricing:
One-off purchase
Monthly License
Yearly License
Free sample available

Automaton AI Video Data - video of products in a retail store

Data of the retail store of all the isles, customers, etc. ... Data of the retail store of all the products from a height of 2 - 7 feet.
Available for 1 countries
4K Images
Pricing available upon request
Start icon5.0(1)

aKQired Ecommerce Database - Shopify Stores, Retail Database [Owners, Emails, Phone]

by aKQired
We offer worldwide shopify/ecom retail shops data with Data Fields below: Store Name Website Contact ... Our Worldwide Shopify/Retail Database consists of the most lucrative business database.
Available for 249 countries
1K Contacts/Day
5 years of historical data
100% Qualified
Starts at
$550$495 / 1000 Contacts
10% Datarade discount
Free sample available
revenue share

More Retail Data Products

Discover related retail data products.
1M Records
98% Match Rate
249 countries covered
Data AI Solutions offers Pricing & Competitive Intelligence as a Service for retailers globally , allowing vednors to align and target their analytics effec...
11.6M records
100% Coverage
China covered
This is a complete Point of Interest (POI) Dataset for China as of August 2022 containing 11,621,363 records geocoded with rooftop accuracy. There are 1618 c...
100K records
24 countries covered
Extensive dataset of restaurants in the US, EU and Middle East. For markets we don't yet cover, we're more than happy to work with you to get them. Data wi...
232 Million
95% Match Confidence
USA covered
This is a national Consumer Demographic file with over 400 fields of information. The file is updated monthly with NCOA/CASS processing. New entries are id...
700K Retail Store Locations
77% 3-month daily correlation
USA covered
Process and analyze store visits data on over 700k retail locations across the US. Each row contains a week's worth of data broken down into weekly, daily an...
97% Success rate in real-time
245 countries covered
Bright Data’s retail data collector is enabling you to collect crucial data points for your business plan and strategy. These data sets include pricing, prod...
1K Contacts/Day
100% Qualified
249 countries covered
Our Worldwide Shopify/Retail Database consists of the most lucrative business database. If you are looking to connect with Shopify/Ecom users from any locati...
4 Million Leads
95% Accuracy Guaranteed
112 countries covered
Buy eCommerce Leads from Our Millions of eCommerce Leads Database Worldwide at Reasonable Price.
400K POI
100% fill rates
USA covered
SafeGraph Spend is an aggregated transaction dataset of consumer data containing spending behavior at individual points of interest. This dataset includes t...
1 million records
99% Quality
64 countries covered
Food delivery has become the key market segment and at Wersel, we scrape data from food delivery apps online using our online food delivery competitive prici...
24M transaction retail and bank card holders
USA covered
24+ Million transactional retail and bank card holders of US individuals provided by Multimedia Lists.
100K Documents
100% Quality assured
249 countries covered
We collect invoices, receipts, and payslips from around the world. Customers can also order annotations for OCR applications or classification samples. Ext...
249 countries covered
Actowiz helps you to scrape grocery app listing data. We scrape data from grocery delivery & ordering apps like Walmart Grocery, Instacart, Shipt, Google Sho...
249 countries covered
Food delivery has become the key market segment and at Actowiz we scrape data from food delivery apps online using our online food delivery competitive prici...
249 countries covered
In today’s competitive world of food delivery, use Actowiz Solutions’ Intelligence suite for scaling up quickly in newer geographies and optimizing pricing.
249 countries covered
Do you want to scrape iOS, and Android app data using Python? Actowiz Solutions fulfills all your Mobile App Scraping Services requirements with precision an...
249 countries covered
Get customer reviews for any product on Amazon and get details like product name, brand, reviews and ratings, and more from Amazon.
249 countries covered
Get pricing data feeds, product availability, as well as other product data across E-Commerce websites in preferred data locations and formats at custom inte... - Snapbizz profile banner
Based in India
Retail Innovation, Mobile Based disruptive business model, Cloud connected, Consumer goods industry, Android Based technology, Digital Visibility, Real time ...
Basket captured per day
Consumer info
Transaction value per month - Olvin profile banner
Based in United Kingdom
Olvin’s data help you understand the store performance and consumer profiles of over a million retail locations across the US. From predictive insights on an...
Data Accuracy
US Retail Locations
Retail Brands - SafeGraph profile banner
Based in USA
SafeGraph is a data company that builds datasets on the physical world for teams at ESRI, Microsoft, Sysco, and Goldman Sachs. Our high-precision Places data...
POI in US and CAN
Brands in US and CAN
Fill Rates - Chain of Demand profile banner
Chain of Demand
Based in Hong Kong
Chain of Demand
Chain of Demand provides retail industry data spanning across the US, China and the European market. With three years of data available, we use our proprieta...
data points
faster to analyze data
variance in revenue prediction - Datahut profile banner
Based in USA
Datahut helps businesses get structured data feeds from any website through our cloud-based data as a service platform. Our fully-managed Web Scraping soluti...
Clean data
Data quality
7-10X ROI
ROI - aKQired profile banner
Based in India
Are you are looking to grow your sales and improve your profits? aKQired is the right place for your B2B Solution Needs. We Provide One-stop solution for our...
Verified Emails And Phone

The Ultimate Guide to Retail Data 2022

Learn about retail data analytics, sources, and collection.

What is Retail Data?

In the day-to-day running of a retail business, owners of such businesses are faced with the need to make decisions to drive growth through enhanced sales. In the contemporary business environment, driving growth is not effective if retail data analytics is not used as a fuel to propel growth. Consequently, owners of retail stores can take advantage of retail data analytics to paint a clear picture of their business’ health in terms of sales while making improvements and reinforcement for customer satisfaction.

How is Retail Data collected?

Technological advancement has brought along a new wave of possibilities including a collection of retail information. Modern retail stores go the extra mile to develop customized apps for mobile phones and PCs. While these apps are important in enhancing customer experience, retailers also use them to monitor customer shopping habits and interests. This method of in-store customer data collection helps retailers to tailor services to each customer. Retailers can also collect retail data by the use of guest satisfaction surveys, as a result of helping the business point out the key trends in buying behavior and formulating initiatives to drive more sales. By tracking website activities, retailers can also gather retail data about the number of potential buyers that have shown interest in the business.

What are the key attributes of Retail Data?

The attributes of retail data are grounded on two factors: customer insights, and business insights. Retail data’s attribute of customer insight involves a information on customer behavior. Understanding customer behavior is crucial for retailers to improve customer satisfaction and as result bolster sales. On the other hand, business insight is data that pertains to the business’ supply chain and inventory tracking that can help retailers make procurement decisions to ensure a steady supply of goods. Taking command of the supply chain through retail analytics helps the business to be highly reliable because customers are sure to get what they need at the right time and place.

What is Retail Data used for?

The benefits of retail data are twofold, helping retailers to optimize their supply chain and identify customer trends and preferences. As far as optimizing the supply chain is concerned, retailers can use retail data to revamp their inventory and procurement systems. This undertaking can be achieved by the use of predictive tools in which the business makes use of historical data and trend evaluation to define the order in which to bring in new products and the precise quantities of products needed. This inventory optimization is ensuring that customers get the products they need while reducing space usage in stores. Identifying customer trends and preferences is another important use of retail data analytics. Retailers can easily match up sales data to predict consumer behavior hence creating cross-functional marketing strategies that target just the right consumers.

How is Big Data changing retail marketing analytics?

Companies such as Amazon, Wal-Mart, eBay and Costco are prime examples of how modern retailers have successfully harnessed the real power of big data analytics across processes in the businesses. The companies, which are largely retail stores that are based online, have amplified the power of big data analytics by making retail data useable throughout company departments, hence leading to wide-spread optimization of core business goals and smaller routine daily tasks. Here’s some examples of how using big data in retail adds value to business operations:

• Pipeline development for store location
• Pricing optimization
• Personal data protection
• Customer service
• Inventory management
• Promotion intelligence
• Fraud protection and prevention.

What is the definition of Retail Data analytics?

Retail data analytics refers to the process of analysing information related to retail businesses to establish insights including sales data, inventory data, customer data and other critical pieces of information that play a role in the decision-making initiatives of business owners and merchants. Ascertaining a retail business’ operations and overall health is only possible with the right data. Retail data analytics draws on various data points as evidence, allow the user to paint a picture of the overall business health of a given retailer. In turn, strong retail analytics foster better choices by retail business managers, from operating the business efficiently, to delivering customer-centric service.

How to analyze Retail Sales Data?

Retail business look to acquire retail sales data to improve their own sales. There are numerous retail sales data vendors on online data marketplaces where retail business managers can buy retail sales data and use it for their own analysis. The general process of analyzing retails sales data involves the following core steps:

• Identifying the specific use case for the data.
• Selecting a sales analysis tool to help in the process of analyzing the data.
• Drawing results and sharing the data with the necessary stakeholders to help make inferences from the data and put it to use.

What is a Retail Data model?

A retail data model gathers logical information covering the entire retail industry. Such a data model is usually made up of enterprises, business area, and manufacturers. Retail data models allow businesses to understand the retail ecosystem, which helps them optimize their marketing and selling strategies through retail outlets. Retail data models account for wide-ranging business data on reports and analytic needs concerning the key areas of customer needs, products pricing, marketing initiatives, financial reporting and analysis, inventory management and overall business metrics and analytics.

What is a Retail Data collector?

A data retail data collector gathers price points for many categories of merchandise, to then be compiled in a commerical dataset by a data vendor. Data vendors then provide the collected data on data marketplaces where retailers can shop for the right retail data and use it to enhance their business.

How does Nielsen collect Retail Data?

As a leader in retail measurement services, Nielson’s purchasing data provides detailed and timely data on market shares, competitive sales volumes and overview of distribution, pricing and merchandise promotion. Nielson has a business presence in more than 100 countries and amasses data from close to 900,000 stores in its global retail network who willingly share their data. The process of collection of this information involves point of sale data that is collected through store’s checkout scanners. In the event that this POS data is not available, Nielson uses field auditors who amass sales data via in-store inventory and price checks. Before the data is made available in its propriety software, Nielsen ensures that it undergoes stringent quality control checks through an established quality control system. As such, retailers can use Nielson’s retail sales data subscription services to enrich their business’ sales information and discover intuitive ways to improve the overall performance of their business.

How can a user assess the quality of Retail Data?

Users can assess the quality of retail data by its ability to accurately depict the current trends in market behavior both, for the customers and the business. Quality data is tailored to a specific business in terms of needs and trends. It is up-to-date and it accurately provides trends as far as the retailers’ line of business is concerned. Quality retail data also takes into account the aspect of consumer private data protection. When collecting retail data, the data provider must abide by data privacy regulations to ensure consumers’ PII isn’t compromised.

What are Retail Data statistics for 2021?

The retail reports that are now available on data marketplaces can be used by retail business managers and owners to get to grips with developments that are emerging the in the retail business world. A detailed analysis of retail data reveals how the retail market is experiencing shifts in economies all over the world. For instance, retail data reports show that total global retail sales are expected to reach new heights of $27.73 trillion by 2021. Furthermore, as China is expected to remain the largest ecommerce market in the world, 95% of all retail purchases are projected to be done through ecommerce platforms.

Where can I buy Retail Data?

Data providers and vendors listed on Datarade sell Retail Data products and samples. Popular Retail Data products and datasets available on our platform are Consumer Data | Aggregated Spend Patterns | Retail Transactions by SafeGraph, Geolytica Points of Interest (POI) Geo Data - China by Geolytica, and Scrape Retail Data Worldwide Using E-Commerce APIs from X-Byte by X-Byte.

How can I get Retail Data?

You can get Retail Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Retail Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Retail Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Retail Data?

Retail Data is similar to Consumer Review Data, Product Data, Ecommerce Data, Shopper Data, and Brand Data. These data categories are commonly used for Retail Intelligence and Market Share Analysis.

What are the most common use cases for Retail Data?

The top use cases for Retail Data are Retail Intelligence, Market Share Analysis, and Operational Intelligence.

Translations for this page

Datos de minoristas (ES)