# Analyze software review sentiment from Capterra

**Use case:** 

Bulk review text with ratings per product, ready for a sentiment pipeline.

## Input

```json
{
  "productUrls": [
    "135003"
  ],
  "maxReviewsPerProduct": 50,
  "concurrency": 5,
  "proxyConfig": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "reviewId": {
    "label": "Review ID",
    "format": "text"
  },
  "productName": {
    "label": "Product",
    "format": "text"
  },
  "reviewerName": {
    "label": "Reviewer",
    "format": "text"
  },
  "jobTitle": {
    "label": "Job title",
    "format": "text"
  },
  "industry": {
    "label": "Industry",
    "format": "text"
  },
  "companySize": {
    "label": "Company size",
    "format": "text"
  },
  "overallRating": {
    "label": "Overall",
    "format": "number"
  },
  "recommendationRating": {
    "label": "Recommend",
    "format": "number"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "pros": {
    "label": "Pros",
    "format": "text"
  },
  "cons": {
    "label": "Cons",
    "format": "text"
  },
  "writtenOn": {
    "label": "Written on",
    "format": "text"
  },
  "reviewUrl": {
    "label": "Reviews URL",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [Capterra Reviews Scraper - Ratings, Pros & Cons](https://apify.com/goat255/capterra-reviews-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/goat255/capterra-reviews-scraper) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/goat255/capterra-reviews-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).