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Capterra reviews (It works) — Capterra | Lagic

Built For

Get detailed user reviews and ratings for any software on Capterra.

Curated by Lagic·Verified working

Configure Agent

Enter Capterra product URLs to scrape (e.g., )

Maximum number of reviews to scrape per product. Leave blank for unlimited.

Results to deliver

600 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

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Pricing

6 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Overall star rating (out of 5)Specific ratings for ease of use, functionality, support, and valueFull text of the review, including pros, cons, and general commentsReviewer's job title, industry, and company sizeReasons the reviewer chose the productReasons the reviewer switched from their previous software
Value...Value...Value...Sample Text...Value...Value...
Value...Value...Value...Sample Text...Value...Value...
..................
Exports as:CSVXLSXJSON

Overview

Extract Capterra software reviews, including user ratings, pros, cons, and company demographics, to analyze customer sentiment and track competitors.

Product managers, marketers, and market researchers use this tool to get direct, unfiltered feedback on software products from real users. Capterra is a primary source for B2B software reviews, and this extractor automates the collection of that valuable data. ### Analyze User Feedback at Scale Instead of manually copying and pasting reviews, you can pull thousands of data points into a single structured file. The output includes not just the text of the review (pros, cons, and general comments), but also specific ratings for ease of use, functionality, customer support, and value for money. This allows for quantitative analysis of your product's performance or a competitor's weak spots. ### Understand Your Competitors' Customers You can see the reviewer's job title, industry, and company size, providing crucial context for their feedback. The data also reveals the reasons a user chose a specific product and, if applicable, why they switched from a previous one. This is invaluable for refining marketing messages, sales positioning, and product roadmaps.

Key Capabilities

  • ✓ Overall star rating (out of 5)
  • ✓ Specific ratings for ease of use, functionality, support, and value
  • ✓ Full text of the review, including pros, cons, and general comments
  • ✓ Reviewer's job title, industry, and company size
  • ✓ Reasons the reviewer chose the product
  • ✓ Reasons the reviewer switched from their previous software
  • ✓ How long the reviewer has used the software
  • ✓ Date the review was published
  • ✓ A direct URL to the original review on Capterra
  • ✓ Identify common feature requests and pain points mentioned in competitor reviews to inform your product roadmap.
  • ✓ Benchmark your product's ratings for support, functionality, and ease of use against key competitors.
  • ✓ Gather authentic testimonials and "voice of the customer" language to use in marketing campaigns and on landing pages.
  • ✓ Equip sales teams with specific insights on why customers switch from a competitor's product to yours.
  • ✓ Conduct market research to analyze user sentiment and product-market fit within a specific software category.
  • ✓ Perform due diligence on a software company by assessing unfiltered user satisfaction and identifying common complaints.
  • ✓ Track shifts in customer sentiment over time by running scheduled extractions of your product's reviews.

Field Dictionary

How To Run This Extractor

1

Find the Capterra product pages you want to analyze.

2

Copy the URLs for each product.

3

Paste the list of URLs into the 'Capterra Product URLs' field.

4

Optionally, set a maximum number of reviews to extract from each product page.

5

Run the tool to begin the extraction.

6

Download the complete review data as a CSV or JSON file.

Frequently Asked Questions

Do I need to know how to code?
No, this tool is designed for non-technical users. You just need to provide the Capterra product URLs.
What formats can I export the data in?
Is it legal to scrape Capterra reviews?
How many reviews can I scrape?
Can I use this for client work?
How is this different from manually reading reviews?
How reliable is the data extraction?
Can I schedule this tool to run automatically?
How fresh is the data?
How much does it cost?
Can I scrape reviews for any software on Capterra?
What do 'chosenReasons' and 'switchingReasons' mean in the output?