Best Commerce Datasets, Databases & APIs

What is Commerce Data?

Retail commerce data is information about the retail market, individual businesses, or their performance. It's mostly used by marketers and investors e.g. in optimising store layouts or identifying market trends. Datarade helps you find the right data providers and datasets.Learn more

50+ Results

QueXopa 's Paper Receipt Data - OCR Product (sku) Level Transactions - France, Spain and Belgium

by QueXopa
Granular and unique consumer spend data in the EU Actively growing panel of users Fully anonymized ...  and compliant with GDPR Access to user demographic variables   Unique consumer spend data in Europe
Available for 2 countries
130K Receipts
18 months of historical data
100% Brand Coverage
Starts at
$350 / purchase
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

RDA Pricing: Fundamental Pricing Data for Cryptoassets

The fundamental-market price ratio (FMr) is a key data point in this product. ... The RDA Price data stands in contrast with the market price to reveal the impact of speculative trading
Available for 249 countries
300 Assets
1 years of historical data
100% Uptime
Starts at
$75 / 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

Points to Filter Your Leads • Real-Time Verified Data We have millions of eCommerce data ready to go ... We were able to do so by obtaining data from various locations around the world.
Available for 240 countries
5M Records
10 years of historical data
95% Accuracy Guaranteed
Starts at
$100 / purchase
Free sample preview
Free sample available

Photon Commerce - Amazon & eCommerce Purchase History Panel Data

Photon Commerce captures about $30 billion in annual transaction level order and purchase history for ... Photon Commerce captures daily transaction level order and purchase history for these major vendors:
Available for 1 countries
1B dollars
Available Pricing:
One-off purchase
Monthly License
Yearly License
Revenue share
10% Datarade discount
Free sample available
revenue share
Start icon4.9(3)

eCommerce Product Sales Volume Data

by Luz
The data is sourced through daily web scraping. ... The data delivery varies from daily, weekly, monthly, and quarterly.
Available for 5 countries
9 months of historical data
Pricing available upon request
Free sample available

Product and Review Datasets from Ecommerce websites | Grepsr

by Grepsr
benefits of e-commerce product and review data is that it supports market analysis. ... Product and review data helps businesses add more agility and scalability to their operations while assisting
Available for 240 countries
99% match rate
Pricing available upon request
Free sample preview
Free sample available

Ecommerce data from 100+ global sites

We are a complete e-commerce data provider offering validated and accurate product, seller, consumer ... across e-commerce sites, markets, and SKUs.
Available for 13 countries
Pricing available upon request
Start icon5.0(1)

eCommerce Data Scraping & Nutritional Value Data Scraping | Scrape eCommerce Websites

Data AI Solutions offers Pricing & Competitive Intelligence as a Service for retailers globally , allowing ... Collect prices across multiple marketplaces, platforms, and stores • Real Time Brand Positioning • Data
Available for 249 countries
1M Records
7 days of historical data
98% Match Rate
Starts at
$5$4 / per request
Free sample preview
20% Datarade discount
Free sample available

More Commerce Data Products

Discover related commerce data products.
1.05M Locations
96% Accuracy
2 countries covered
This core point-of-interest dataset consists of 1M location information of retail stores in the US and Canada. The POI database includes electronic stores, s...
100% Fill Rate
249 countries covered
Amazon Best Seller data includes buy box information. With this data, one can track sales and use it to boost sales while improving the brand's image on Amazon.
9.99M Coffee Buyers
60% emails available
USA covered
Reach these brand loyal consumers, selectable by the package goods brands they most frequently purchase.
97K records
100% Apparel SKUs
India covered
This Database contains close to 100,000 records with every detail of Apparel products like clothing and clothing accessories
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...
50K Records
187 countries covered
1 days of historical data
Get Followinf Details: ASIN ReviewID ReviewDate Ratings ReviewTitle Author AuthorProfile WasVerifiedPurchased ReviewText HelpFulVotes Variations ReviewUr...
1M records
100% match rate
240 countries covered
Analyze credit card/debit card transactions happening all over the world to create world-class data science or Artificial intelligence products for finance, ...
8 countries covered
9 months of historical data
Luz provides product sales volume data of each SKU of Beauty & Cosmetics eCommerce sites.
300K Records
95% Accuracy Guaranteed
9 countries covered
Amazon Seller Directory. Get Real-Time Verified Amazon Seller Data from our Amazon Seller Database with C-Suite/Marketing/Sales Contact Details and Connect W...
5 countries covered
9 months of historical data
Luz provides product sales volume data of each SKU of each online retail site in the coverage.
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...
249 countries covered
Credit Card Transaction Data 1. Customized Data: MCC Level 2. Syndicated Service: Standard Data Layout
249 countries covered
Use Zomato Restaurant data scraping services to extract or scrape Zomato restaurant data with scraping food delivery data including menus, locations, mention...
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
Get competitive promotional pricing strategy insights with data services from Actowiz Solutions! Our services assist you to optimize the promotions using ana...
249 countries covered
Improve marketing spending and market visibility, and lead the competition with Actowiz Solutions’ Restaurant Intelligence.
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. - Hir Infotech profile banner
Hir Infotech
Based in India
Hir Infotech
Hir Infotech is a leading global outsourcing company with its core focus on offering web scraping, data extraction, lead generation, data scraping, Data Proc...
Project Completed
Global Clients Served
Global Country Served - Measurable AI profile banner
Measurable AI
Based in Hong Kong
Measurable AI
- Largest e-receipts panel for emerging markets: South-East Asia, Latin America, Middle East, and India - SKU level high definition transactional data that ...
Own consumer apps
Emerging Markets - Allfactor profile banner
Based in USA
Allfactor Analytics - powerful market analytics platform that brings evolution in data eCommerce
1 Billion+
Product Data
E-commerce Store Data
Marketplace Indexes - Photon Commerce profile banner
Photon Commerce
Based in USA
Photon Commerce
The company streamlines the collection, processing, validation, and management of purchase data from the receipts, invoices, and payments data of consumers a...
transaction purchase history
transaction purchase history - Oxylabs profile banner
Based in Lithuania
We are a market-leading proxy and web scraping solution service for large-scale public data gathering, driven by high business standards and innovations.
102M+ IPs
Around the globe
Powered solution
Proxy rotation - Bright Data profile banner
Bright Data
Based in USA
Bright Data
Bright Data is a leading data collection platform, which enables our customers to collect data sets from millions of websites through our proprietary technol...
+72M IPs
Around the world
Network uptime
Response time

The Ultimate Guide to Commerce Data 2022

Learn about commerce data analytics, sources, and collection.

What is Retail Data?

Retail data is data you collect about your retail customers or the industry in the larger scale that can be used to improve your business. Retail data takes guesswork out of the equation and enables you to make smarter decisions. It might include point of sales data, loyalty card data and market data.

Other forms of data you’ll want to consider include customer- centric data, supply chain and merchandising data. Foot traffic data allows you to measure which departments of your business in different locations are popular and which are getting less attention. Such insights can help to make decisions on how better to attract customers’ attention. Historical data looks at previous sales and inventory data to help Retailers make decisions. Retail Data enables your business to make smarter decisions, obtain higher profits, gain greater customer satisfaction and have a more competitive store. All in all, when used correctly, data will help you will increase your business efficiency, save money and drive sales.

Who uses Retail Data and for what use cases?

In today’s market, where customer centric approach is everything, it’s important to stay one step ahead of your customers. Retail data gives you the information retailers need to stay ahead and competitive. It allows retailers to better understand their customers and their customers’ needs, wants, spending and eating habits. It allows retailers to go that step further in creating a great retail experience for their customers. Retail data can analyze who were your best customers and what they spent, and which products are most popular among your customers. This can help with ordering decisions and with deciding which products to promote.

Retail data can also help sales teams and marketers to target the right customer at the right time. Analyzing the timing of purchases helps predict what customers may buy next and when. For example, consider a customer who just bought clothes size 0-3 months for her newborn baby from your baby store. Understanding general buying patterns, you can predict when she will need to buy 3-6 months’ baby clothes and 6-12 months’ baby clothes, plus when she may be thinking of shopping for a high-chair, baby walker and so on. Using these predictions, you can recommend products to your customer at relevant times.

Retail data can also be used for streaming. For instance, if retail data company analytics show not many customers shop in the evening midweek, you can consider not opening on midweek evenings, or at least reducing staff on those evenings. You can also use retail data to plan for seasonal fluctuations. Retailers can learn a lot about their market and customers from retail data, and, indeed, more and more businesses have recognized the benefits and use retail data attributes to help make important decisions and find retail business solutions.

What are typical Retail Data attributes?

Retail reporting these days is about more than ringing up sales. Retail data attributes provide businesses with information on how best to lay out departments, aisles and shelves. Retail data sales reports can tell you which products or supplies are driving revenue so you can plan your stock orders accordingly. Retail data allows retailers to predict trends and forward plan. This saves time and money. Having the right data also increases customer satisfaction. Retail data analytics helps retailers to be keenly aware of their customers’ tastes and preferences. This is information retailers can use to increase the value of customers’ experiences. Retailers can see what customers like and enables them to make recommendations based on the customer’s retail history.

Common Retail Data attributes might include:
  • customer data, such as account number, gender, DOB, postcode, time period
  • store space data, such as floor product, sales turnover, space format
  • transactions made with loyalty card, such as account number, store number, value (£), product category, timestamp, time period.
  • Transactions without loyalty card, such as store number, value (£), product category, timestamp, time period.
  • POS data, such as profit margins, basket sizes, customer counts, sales trends, staff streamlining.
  • Foot traffic, such as people counters, beacons and dwell times.

How is Retail Data typically collected?

Retail Data analytics is collected in raw form. It can then be reviewed and cleaned, analyzed and standardized so unit can be integrated into a database. Upon delivery, data may be stored in spreadsheets such as Excel. Another option are CSV files, if you need to share between systems that are incompatible. Data can be stored in data warehouses owned by data providers where it is transformed into a data format ideal for querying and analysis.

The collection can happen in a number of ways, such as by surveys, by having conversations with your customers, and by collecting background data via modern technologies. These different kinds of customer information can then be combined using data analytics to give a more complete picture of your customers’ shopping decisions.

While survey and 1-1 discussions with your customer may yield deep, descriptive insights, the data collection in such a way is not scalable. In often cases we see companies looking for third party data providers who focus on raw data collection for retail analytics. They have extensive expertise on the matter and can use innovative technologies to bring you insights about the market at scale.

Analyzing both offline and online Retail Data is crucial as today customers purchase from multiple channels. Combining data is necessary to gain key insights and increase customer satisfaction. For instance, some retailers have found that customers browse their products online but prefer to purchase their products offline in store. Data enrichment is an essential step to understanding your customers’ path to purchase.

How to assess the quality of Retail Data?

Retail data that is of poor quality will have a negative effect on your business. Raw retail data needs to be reviewed regularly to ensure it is of good quality and any errors removed. For the purpose of many use cases, it is necessary to ensure data is offered in real time, as outdated data is inefficient, ineffective and can have an adverse effect on your business.
Data needs to be tracked regularly for the number of errors, empty values and dark data. The most important thing is to have a data quality assessment plan in action to regularly check your data quality.

Before buying data from third party sources, you should look for previous customer refernsers and ask your data provider for a sample set to test the data in its intended environment for the ultimate pre qualification of quality.

How is Retail Data typically priced?

The price you pay for retail data depends on the size of your company and the sophistication of the system you want to purchase. Retail data is typically purchased by monthly subscription that gives you access to a real time API. Alternative pricing models could consist of pay per usage (CPC), one time payments, or even customized quotes based on your needs.

What are the common challenges when buying Retail Data?

Although retail data is essential for today’s business market, it doesn’t come without challenges. Some challenges when buying retail data include:

  • Siloed data that is not combined. Combined data and looking at customers as a whole is essential to obtain accurate customer information so you can target more effective marketing campaigns
  • Ensuring real time analysis for supply chain management. Real time analytics are essential for efficient inventory management.
  • Ensuring Retail Data is compliant with the new customer compliance rules that are coming into force.
  • Security, it is important to ensure any Retail Data purchased is secure and doesn’t put anyone’s private information in jeopardy.

What to ask Retail Data providers?

Setting up the right systems and learning to use them may take a bit of work. But Retail Data analysis is becoming more and more necessary to stay competitive. Thinking of purchasing a Retail Data system? These are some questions you might consider asking your data providers:

  • How is the data qualified?
  • Will it integrate with my existing business technologies?
  • How often is the Retail Data updated?
  • What security and compliance policies are in place?
  • What dataset delivery method do they offer?

Where can I buy Commerce Data?

Data providers and vendors listed on Datarade sell Commerce Data products and samples. Popular Commerce Data products and datasets available on our platform are QueXopa ‘s Paper Receipt Data - OCR Product (sku) Level Transactions - France, Spain and Belgium by QueXopa, Consumer Data | Aggregated Spend Patterns | Retail Transactions by SafeGraph, and Geolytica Points of Interest (POI) Geo Data - China by Geolytica.

How can I get Commerce Data?

You can get Commerce Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Commerce 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 Commerce Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Commerce Data?

Commerce Data is similar to Environmental Data, B2B Data, Energy Data, Real Estate Data, and Geospatial Data. These data categories are commonly used for Retail and Predictive Analytics.

What are the most common use cases for Commerce Data?

The top use cases for Commerce Data are Retail, Predictive Analytics, and Store Visit Tracking.

Translations for this page

Datos de comercio (ES)