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tech product review data

Discover customer sentiment using tech product review data

  • Get valuable market insights
  • Conduct competitive analysis
  • Enable risk assessment
  • Valuable for investment and market research
tech product review data


product review records


data sources


data updates and discovery


years in the market

What is tech product review data?

Data Points Example Values
Product name GleanView
Product categories iPhone, iPad, games
Product related Candy Crush
Ratings count 21
Ratings average 4.7
Ratings industry Recreational Facilities and Services
Ratings company size Small Business (50 or fewer emp.); 14
Review data 2019-03-23

What is tech product review data?

Tech product review data contains information about customers' opinions on specific products. It provides you with data points such as product name, category, ratings count, ratings average, and more. It's parsed, clean, accurate, and ready to use. This data is available as a flat file, delivered in JSON.

Download the free sample to see the structure of our data and explore dictionaries.

Top tech product review data sources

Tech product review data is divided between multiple datasets, each one corresponding to its respective data source.



Trustpilot data consists of more than 139M records and provides you with data points such as the name of the product, location, website, ratings, category, and more.

See more
G2 Reviews

G2 Reviews

G2 Reviews data consists of over 3M records and provides you with data points such as product's name, review body text, market size, ratings, author info, and more.

Capterra Reviews

Capterra Reviews data consists of over 1.4M records and provides you with data points such as product name, image, review count, review rating, tagline, website, price, category, and more.

Other tech product review data sources

Tech product review data use cases

Market research

Tech product review data can provide investors with valuable insights into market trends, consumer preferences, and product performance. By analyzing reviews and ratings, investors can identify emerging technologies, popular products, and areas of improvement in the market.

Competitive analysis

Review data helps investors assess the competition and understand how their investments compare to other products on the market. This can be done by analyzing ratings, reviews, and feedback from customers and experts.

Risk assessment

Tech product review data can help investors to identify potential risks and challenges associated with a particular investment. For example, if a product has consistently negative reviews or low ratings, it may indicate poor quality or a lack of demand.

Have another use case in mind?

Contact our sales team and we will do our best to help you.

Flexible data delivery options

When buying datasets, you can select data formats, delivery methods, and frequency that are convenient for your business.

But don't take us at our word. Listen to our clients.

Find more reviews on Datarade.

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We are using Coresignal to enrich our AI platform for Sales Pipeline Growth. We proactively recommend sales-ready opps, interested buyers, warm intros, and trusted actions, which results in +25% in net new pipeline in 2 months, and +40% after 6 months.

Lead generation client

Before we started working with Coresignal, the percentage of investments that we made that had data influence was around 2% and currently it's around 65%.

Venture capital client

Coresignal has strong demographic and firmographic datasets both on quality and volume while keeping the data as fresh as it can be. We've been using Coresignal for years and we can only speak highly about the product and the team behind it. Highly recommended.

Venture capital client

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Why 400+ companies choose Coresignal


Reliable and convenient delivery

We offer data in multiple formats, flexible delivery frequency and ensure transparent information about data operations to our clients.

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Exceptional client support

Get the most out of your data with the help of Coresignal's dedicated account managers. We value long-term relationships and strive to provide quick support.


8 years in the market

Our team includes some of the most experienced web data extraction professionals. The advanced infrastructure they built over the years allows us to expand our datasets daily.

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Stay ahead of the game with fresh web data

Coresignal's data helps companies achieve their goals

Frequently asked questions

How is tech product review data collected?

We collect tech product review data from various public web sources and put it into several tech product review databases. Different data sources have separate datasets of respective tech product review records.

What are Coresignal's tech product review data sources?

Coresignal's tech product review data sources include Trustpilot, G2 Reviews, Product Hunt Reviews, and Capterra.

Who uses tech product review data?

Coresignal's tech product review data is mainly used by investors.

What can you do with tech product review data?

  • Discover industry sentiment for specific companies
  • Discover market sentiment for specific products
  • Generate new market research opportunities
  • Create new investment opportunities

How secure is the data?

Data security is one of the main priorities. We store data in a protected dataset to avoid breaches and leaks of sensitive information.

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