# Capterra User Reviews — Verified Dataset

**Use case:** 

Capterra user reviews — verified dataset of ratings, pros/cons, and reviewer metadata across categories. How to analyze Capterra user sentiment?

## Input

```json
{
  "queries": [
    "jira",
    "slack",
    "salesforce"
  ],
  "max_reviews": 700,
  "sort": "MOST_RECENT"
}
```

## Output

```json
{
  "title": {
    "label": "Review title",
    "format": "string"
  },
  "rating": {
    "label": "Overall rating",
    "format": "number"
  },
  "recommendation_rating": {
    "label": "Likelihood to recommend",
    "format": "number"
  },
  "author_name": {
    "label": "Reviewer name",
    "format": "string"
  },
  "author_job_title": {
    "label": "Reviewer job title",
    "format": "string"
  },
  "author_company_size": {
    "label": "Company size",
    "format": "string"
  },
  "date_published": {
    "label": "Date published",
    "format": "string"
  },
  "is_validated": {
    "label": "Validated reviewer",
    "format": "boolean"
  },
  "verified_linkedin": {
    "label": "Verified LinkedIn",
    "format": "boolean"
  },
  "review_id": {
    "label": "Review ID",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Capterra  Reviews Scraper 2026](https://apify.com/devcake/capterra-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/devcake/capterra-scraper) to learn more, explore other use cases, and run it yourself.