This page breaks down Datahut ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand Datahut’s overall reputation. This data-driven overview will show you exactly how Datahut is rated - including how it compares to competitors.

Datahut's Overall Rating Summary

  • Average Rating:4.8/5
  • Total Reviews:14 reviews
  • Sources:G2, Capterra
  • Last updated:September 1, 2025

Datahut Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
4.5/5
4+ reviews05.08.25
Capterra logoCapterra
4.9/5
10+ reviews05.08.25

What is Datahut?

Datahut offers a cloud-based web scraping platform that provides structured data from websites without the need for coding, servers, or expensive software. The service guarantees clean data with 100% data integrity, delivered as CSV/JSON files or via APIs, and ensures maximum coverage even from complex websites. Datahut's process involves understanding the client's data extraction problem, finding a tailored solution, and delivering the required data hassle-free, with a money-back guarantee if the data is not satisfactory.

🤔 Datahut vs Competitors: How Do Ratings Compare?

Check out Datahut Alternatives

Frequently Asked Questions

How trustworthy is Datahut?

According to Capterra and G2 review sites Datahut holds ratings of 4.9/5 and 4.5/5 respectively from 14 reviews, highlights excellent reputation and user approval as of September 2025.

How many stars is Datahut rated?

Datahut has an average star rating of 4.8 out of 5 stars based on average of 14 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from Datahut public reviews pages on platforms: G2, Capterra. We update these ratings monthly to ensure they reflect the most current customer feedback.

How overall average rating for Datahut is calculated?

The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.