What is Consumer Review Data? Best Datasets & Providers 2025

On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Consumer Review Data?
Consumer review data refers to information collected from individuals who have used or experienced a product, service, or business. This data is valuable for businesses as it provides insights into customer satisfaction, preferences, and areas for improvement. It is often used for market research, product development, and enhancing customer experiences.
What Are Examples of Consumer Review Data?
Examples of Consumer Review Data include:
- Star ratings: The overall rating given by consumers, typically on a scale of 1 to 5 stars.
- Written reviews: Detailed written feedback provided by customers about their experience with a product or service.
- Review count: The total number of reviews a product or service has received.
- Verified purchase reviews: Reviews marked as verified, indicating that the reviewer actually purchased the product or service.
- Review trends: Analysis of review patterns over time, such as increasing or decreasing ratings.
- Reviewer profiles: Information about the consumers leaving the reviews, such as location or past purchase behavior.
- Product-specific feedback: Insights into specific features or qualities of the product mentioned in reviews.
- Sentiment analysis: Data showing the overall emotional tone (positive, neutral, or negative) of consumer reviews.
- and more.
Best Consumer Review Databases & Datasets
Here is our curated selection of top Consumer 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.

Consumer Review Data & Ratings, Business Listings Data from Yelp | Real-Time API

Consumer Review Data | Global review dataset | 140K+ companies | 5M+ reviews from PissedConsumer

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

Webautomation Software Reviews Data | Web-Scraped Consumer Review Data | G2, Capterra, Trustpilot | GDPR Compliant

Consumer Review Data - Trustpilot (EU and USA)

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

Autoscraping | Yelp Business Reviews | 5M+ Global Reviews with Consumer Insights

E-commerce Data | Product and Review Datasets | Global Coverage with Custom and On-demand Datasets | Price Monitoring and Brand Sentiment Analysis

B2B Marketing Data - G2, Trustpilot, Clutch & Review Platform B2B Datasets, Scrape all publicly available B2B Data | Easy to Integrate | Free Sample

PromptCloud | Consumer Review Insights | Customer Sentiment Data Analysis | Market Trends | Scrape Ecommerce Websites
Can't find the data you're looking for?
Let data providers come to you by posting your request
Post your request
Top Consumer Review Data Providers & Companies
Popular Use Cases for Consumer Review Data
Consumer 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 Consumer Review Data.
Main Attributes of Consumer 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 brand. | View 10 datasets | |
Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 8 datasets | |
String | A hashed email address with algorithms like SHA, MD5, etc. | View 7 datasets | |
String | The rating of a product. | View 6 datasets | |
String | The name of a company or business, might be the legal or brand name. | View 5 datasets | |
String | The official website of a company. | View 5 datasets |
Frequently Asked Questions
How is the Quality of Consumer Review Data Maintained?
The quality of Consumer 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 Consumer Review Data Updated?
The update frequency for Consumer 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 Consumer Review Data Secure?
The security of Consumer 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 Consumer Review Data Delivered?
Consumer 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 Consumer Review Data.
How Much Does Consumer Review Data Cost?
The cost of Consumer 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 Consumer Review Data for your needs.
What Are Similar Data Types to Consumer Review Data?
Consumer Review Data is similar to other data types, such as Product Data, Ecommerce Data, Online Purchase Data, Online Shopping Data, and Ecommerce Store Data. These related categories are often used together for applications like Sentiment Analysis.