What is Ecommerce Product Data? Examples, Datasets and Providers

Ecommerce product data tracks product listings, descriptions, and availability on various platforms. Here, you’ll find a selection of the best ecommerce product data solutions, with options to explore datasets and providers.
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Eugenio Caterino
Editor & Data Industry Expert

What is Ecommerce Product Data?

Ecommerce product data highlights information about products that are eligible to be listed on these platforms, what characterizes them and what are their shipping capabilities.

What Are Examples of Ecommerce Product Data?

Examples of ecommerce product data include:

  • Product names
  • Descriptions
  • Prices
  • Images
  • Customer reviews
  • Specifications

Ecommerce product data is used for various purposes such as creating online catalogs, managing inventory, optimizing search results, and personalizing customer experiences.

Best Ecommerce Product Datasets & APIs

4.8(1)
Starts at
$1,000$900 / purchase
Free sample preview
10% Datarade discount
4.9(7)
Starts at
$25 / month
Free sample preview
5.0(4)
Starts at
$25 / month
Free sample preview
4.9(5)

Bright Data | eCommerce Data - eCommerce Product Matching

Available for 245 countries
97% Success rate in real-time
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview
10% Datarade discount
5.0(2)
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview
10% Datarade discount
5.0(1)
Pricing available upon request
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview
10% Datarade discount
Available Pricing:
Yearly License
Free sample preview
Starts at
$300 / month
Free sample preview

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Ecommerce Product Data Use Cases

Ecommerce Product Data Explained

How is Ecommerce Product Data collected?

Ecommerce product data is collected by ecommerce databases available online. Businesses that have embraced all the aspects of ecommerce generally operate by proprietary or host websites. In these websites, ecommerce uses third party providers to help amass information about products and using the information to enhance and manipulate customer user experience on their online platforms. Information collected may include customer feedback on their user experience, the most in-demand products, data analytics that helps identify which products are trending, and how the business can use this information to drive more sales.

What are the attributes of Ecommerce Product Data?

As an ecommerce data entry component, creating an attribute of products is an important undertaking for any ecommerce business. Ecommerce product data is attributed by information on details about the product that complete a product listing on the platform. Some of these attribute product details include titles of the products listed, description, availability, shipping information, sizes, and cost, in addition to other specifications that may be subject to more technical handling.

What are the uses of Ecommerce Product Data?

Ecommerce product data is the backbone of ecommerce business through which online business platforms establish a to display their products online for customer access. Through third-party API systems, ecommerce businesses use ecommerce product data to enhance their data entry capabilities on their online platforms through the proper display of products. Ecommerce product data also helps online businesses to enhance user experience in their online shopping through improved search optimization that ensures customers get what they are looking for on the go and keeping online shoppers in the loop of what is available for shopping. Branding factors of ecommerce products is another insight that can be derived from product data that could help draw potential customer’s attention hence driving sales and generating massive revenues for the online-based store.

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

When evaluating the quality of ecommerce product data, users of this information should ascertain that the information is complete. In addition to other factors such as time and accuracy, the level of completion of ecommerce product data is by far the most critical component of quality because when designing online catalogs, businesses have to give exhaustive information about the product especially since online shopping does not involve physically visiting the store where a potential client can seek clarification from the store attendant. It is therefore important that any product dataset provides a complete set of information, leaving no room for any negligible degree of doubt for online shoppers.