What is Product Review Data? Examples, Datasets and Providers

On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Product Review Data?
Product review data refers to information collected from customer reviews and ratings of a particular product or service. This data is valuable for businesses as it provides insights into customer satisfaction, product performance, and areas for improvement.
What Are Examples of Product Review Data?
Here are examples of Product review data:
- Written reviews: Detailed textual feedback from customers about their experiences and opinions on the product.
- Review titles: Short summaries or headlines given by customers to highlight key aspects of their review.
- Pros and cons: Key positive and negative features of the product as mentioned in customer reviews.
- Review count: Total number of reviews submitted for a product.
- Rating breakdown: Distribution of star ratings, showing how many 1-star, 2-star, etc., reviews a product has received.
- Product-specific mentions: Comments about specific features like quality, size, color, durability, or functionality.
- Reviewer profiles: Basic information about the individuals providing the reviews, such as their location or review history.
- Review sentiment analysis: Assessment of whether the review tone is positive, neutral, or negative.
- Image or video reviews: Customer-submitted media such as photos or videos showcasing the product.
- and more.
Best Product Review Databases & Datasets
Here is our curated selection of top Product Review Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.

Coresignal | Consumer Review Data | Tech Product Review Data | Trustpilot + 3 Other Sources | Global / 182M+ Records / Updated Monthly

WebAutomation B2B Marketing Data | G2 Product Review Dataset | 1.1M+ Reviews Updated Monthly

Product and Price Data, Product Reviews Data from Google Shopping | Ecommerce Data | Real-Time API

Product Review Datasets for User Sentiment Analysis

InfoTrie Consumer Review & Product Data - 100M+ records, ratings & sentiment worldwide

DATAANT | Amazon Data | E-commerce Product Review | Dataset, API | Reviews by keyword, by category, by seller, by product ASIN | 19 countries

Grepsr | Software and Product Catalogue Datasets | G2, Capterra Review Dataset | Global Coverage with Custom and On-demand Datasets

Amazon Data | Amazon Product Data | Amazon Reviews Data | Seller Performance, Product Rankings for Competitive Analysis

TagX Ecommerce Product Data | Ecommerce Product listing Details, Pricing, Reviews | Amazon, Flipkart, Tmall & more | Global Coverage | Monthly updates

Amazon Products Data and Reviews
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Top Product Review Data Providers & Companies
Popular Use Cases for Product Review Data
Product Review Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Product Review Data.
Main Attributes of Product Review Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
Attribute | Type | Description | Action |
---|---|---|---|
String | The name of a company or business, might be the legal or brand name. | View 22 datasets | |
String | The name of a brand. | View 18 datasets | |
String | The name of a city. | View 17 datasets | |
String | The name of a state. | View 17 datasets | |
String | The official website of a company. | View 16 datasets | |
String | The name of a country. | View 16 datasets |
Frequently Asked Questions
How is the Quality of Product Review Data Maintained?
The quality of Product Review Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Product Review Data Updated?
The update frequency for Product Review Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Product Review Data Secure?
The security of Product Review Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Product Review Data Delivered?
Product Review Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Product Review Data.
How Much Does Product Review Data Cost?
The cost of Product Review Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Product Review Data for your needs.
What Are Similar Data Types to Product Review Data?
Product Review Data is similar to other data types, such as Amazon Reviews Data and Customer Feedback Data. These related categories are often used together for applications like Market Potential Analysis and Venture Capital (VC).