Best Ecommerce Sales Datasets, Databases & APIs

Find the right Ecommerce Sales Data: Search, preview & buy data securely via Datarade.
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13 Results

eCommerce Product Sales Volume Data

by Luz
Luz provides product sales volume data of each SKU of each online retail site in the coverage. ... The coverage is across over 25,000 eCommerce sites. The data is sourced through daily web scraping.
Available for 5 countries
9 months of historical data
Pricing available upon request
Free sample available

Multimedia Lists ecommerce online purchase data USA (3.5 million records)

by Multimedia Lists
Database of more than 3.5 million US consumer purchases with data on the consumer, the merchants and ... the product This data product is provided by Multimedia Lists and covers US online product purchases
Available for 1 countries
3.5M records
Available Pricing:
One-off purchase
Monthly License
Free sample available

PipeCandy D2C E-Commerce Brands Web Sales Data in US, UK, Canada, India - D2C brands and their revenue

by PipeCandy
We are the only dataset that classifies eCommerce companies based on their brand strategy. ... We programmatically discover brands and have a ‘human in the loop’ process to validate the data about
Available for 4 countries
10K records
24 months of historical data
80% matchrate

eCommerce and PoS (Point of Sales) Data China & Korea - to do Market Intelligence (Analysis, Analytics

by X-Byte
China and Korea: eCommerce and PoS (Point of Sales) Data to do Market Intelligence (Analysis, Analytics ... , Monitoring,) & Marketing PoS (Point of Sales) and e-commerce data to do Market Intelligence (Analysis
Available for 3 countries
100 mm
Pricing available upon request
Free sample available

Unwrangle: AliExpress Ratings & Reviews Data (Supply Side Ecommerce Data inc.

by Unwrangle
Filter results by number of reviews, date Review data includes meta data about customers such as avatar ... Get page meta data like product price information, rating distribution, etc.
Available for 107 countries
10K reviews per request
10 years of historical data
100% structured
Starts at
$10 / 100,000 cred...

China & Korea: eCommerce & PoS (Point of Sales) Data for Market Intelligence (Monitoring, Analysis, Analytics

by A2A
eCommerce & PoS (Point of Sales) Data for Market Intelligence (Monitoring, Analysis, Analytics) as well ... as Marketing Purpose from China and Korea are provided. eCommerce & PoS (Point of Sales) Data for Market
Available for 2 countries
Pricing available upon request

DataWeave - Sales and Market Share

by DataWeave
Be informed on unit sales data for any SKU, for a specific duration going back in history, and market ... This offering provides unit sales information for any SKU, with a break-down on 1P vs 3P sales, thereby
Available for 9 countries
Pricing available upon request

Pipecandy Firehose API - E-commerce Company & Web Sales Data US, UK, Canada API of all companies (50+

by PipeCandy
API of all eCommerce companies’ data 50+ attributes about eCommerce companies – firmographic, technographic ... , commerce model, sales, order, partnerships.
Available for 3 countries
1M records
3 years of historical data
80% match rate
Starts at
$1 / 100 credits
10% revenue share

datazeit Amazon Retail Data for Asia / Europe / North & South America

by datazeit
Our machine learning model also includes a sales estimation. ... Sales estimation) / Search / Bestseller / Seller / Review
Available for 18 countries
5M datapoints
Pricing available upon request
10% Datarade discount
Free sample available

Bungeetech US + Europe Retailscape - Grocery Data Feed & Analytics

by Bungeetech
Currently, Bungee collects 30+ data points data daily from the top 60 retail banners. ... Currently, Bungee collects 30+ data points data daily from the top 60 retail banners, which is expected
Available for 64 countries
Pricing available upon request - Multimedia Lists profile banner
Multimedia Lists
Based in USA
Multimedia Lists
Data and lists are our business. We compile them, clean them up, merge/purge them, manage them for other companies and we find YOU lists that can target any ...
US Consumers
Consumer Compiled - Unwrangle profile banner
Based in India
Scrape online reviews without worrying about crawlers, headless browsers, proxies or CAPTCHAS. Focus on your main business and use our REST api.
Records per request
Schema - PipeCandy profile banner
Based in USA
We track over 2 million eCommerce and D2C brands. Our data set covers 70 business attributes and consumer perception attributes about these companies. We are...
eCommerce Company Data
Subcategories - DataWeave profile banner
Based in Singapore
DataWeave is an AI-powered SaaS platform that provides Competitive Intelligence as a Service to consumer brands and eCommerce businesses, enabling them to co...
Up to 46%
top line growth
Up to 3X
bottom line growth - 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
Based in USA
We combine the power of artificial intelligence and advanced machine learning to extract the most valuable information, with close to 100% data accuracy, and...
Data Collection
Data validation
Product Matching

The Ultimate Guide to Ecommerce Sales Data 2022

Learn about ecommerce sales data analytics, sources, and collection.

What is Ecommerce Sales Data?

Ecommerce sales data refers to information that highlights the selling and buying of goods on the internet and the transfer of money and data to fulfill these transactions. Ecommerce sale describes the sale of physical products on the internet as well as any type of commercial transaction that is conducted via the internet. Ecommerce sales data reveals information about online trading activities in all the four areas of market segments: business to business, business to consumer, consumer to consumer, and consumer to business.

How is Ecommerce Sales Data collected?

Because e-commerce sales is an activity that is undertaken on the internet, the collection of e-commerce sales data is online-based. Through company websites that have integrated systems for data collection, a lot of insight can be derived from customer data collected from custom profile properties. Businesses integrate third-party software into their websites to help in harnessing customer e-commerce data. These software function in such a way that during the onboarding process, data points are formulated to support use cases that are specifically unique to every business.

What are the attributes of Ecommerce Sales Data?

Ecommerce sales data contains information about a given online transaction. The key features of these transactions may include information about the customer, the product that was bought, and the payment method that was used, the amount paid for the product. In some cases, and for customer profiling, e-commerce sales data may also include the information about the geographical location of the customer, their contact information such as email and phone number, and their most preferred payment methods such as debit or credit cards, wire transfer or payment platforms such as PayPal.

What are the uses of Ecommerce Sales Data?

Ecommerce is an industry that thrives on big data analytics. As such, in the e-commerce industry, proper use of data can help businesses rise to greater heights in terms of revenue growth. However, the wrong interpretation of e-commerce data may prove futile for the business. Ecommerce sales data can help businesses to regularly gauge and improve on the following listed aspects:

  • Expand customer analysis leading to the development of well-informed buyer personas or profiles.
  • Bolster customer service for better satisfaction and retaining.
  • Enhance the personalized experience for every customer.
  • Gauge ways in which to secure online payment processing systems.

How can a user assess the quality of Ecommerce Sales Data?

The quality of e-commerce sales data can be gauged by its relevance, reliability, consistency, and time value. When acquiring data about e-commerce sales, users should account for the data’s ability to present information that is in line with their business operations. The relevance aspect will ensure that the information pulled informs the user of the business needs hence avoiding the mistake of making crucial decisions based on wrong information. The reliability of this data informs the user of the data’s level of completeness, accuracy, and how well it meets the intended purpose without being subject to inappropriate alteration. Additionally, due to the constantly changing e-commerce business environment, the aspect of time will tell the user of e-commerce sales data about when the data was collected and whether it takes into account the transforming landscape of the business environment especially in terms of technological advancement.

Where can I buy Ecommerce Sales Data?

Data providers and vendors listed on Datarade sell Ecommerce Sales Data products and samples. Popular Ecommerce Sales Data products and datasets available on our platform are eCommerce Product Sales Volume Data by Luz, Multimedia Lists ecommerce online purchase data USA (3.5 million records) by Multimedia Lists, and PipeCandy D2C E-Commerce Brands Web Sales Data in US, UK, Canada, India - D2C brands and their revenue & growth rates by PipeCandy.

How can I get Ecommerce Sales Data?

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

What are similar data types to Ecommerce Sales Data?

Ecommerce Sales Data is similar to Online Shopping Data, Digital Shelf Data, Ecommerce Product Data, Ecommerce Customer Data, and Ecommerce Store Data. These data categories are commonly used for Sales Planning and Demand Forecasting.

What are the most common use cases for Ecommerce Sales Data?

The top use cases for Ecommerce Sales Data are Sales Planning, Demand Forecasting, and Ecommerce Analysis.