# Export G2 Reviews to CSV, JSON & Markdown

**Use case:** 

Export G2 software reviews as clean markdown for RAG and fine-tuning: 32 fields including structured pros/cons and six sub-ratings.

## Input

```json
{
  "mode": "reviews",
  "startUrls": [
    "slack"
  ],
  "maxReviewsPerProduct": 100,
  "minRating": 1,
  "maxRating": 5,
  "sortReviews": "newest",
  "verifiedReviewer": false,
  "searchQuery": "communication",
  "maxProducts": 25
}
```

## Output

```json
{
  "markdownContent": {
    "label": "Markdown content (LLM-ready)",
    "format": "string"
  },
  "reviewTitle": {
    "label": "Review title",
    "format": "string"
  },
  "pros": {
    "label": "Pros",
    "format": "string"
  },
  "cons": {
    "label": "Cons",
    "format": "string"
  },
  "problemsSolved": {
    "label": "Problems solved",
    "format": "string"
  },
  "recommendations": {
    "label": "Recommendations",
    "format": "string"
  },
  "overallRating": {
    "label": "Overall rating",
    "format": "integer"
  },
  "reviewerIndustry": {
    "label": "Reviewer industry",
    "format": "string"
  },
  "companySize": {
    "label": "Company size",
    "format": "string"
  },
  "previousCompetitors": {
    "label": "Previous competitors",
    "format": "array"
  },
  "whySwitched": {
    "label": "Why switched",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [G2 Reviews Scraper · Battlecards + Switching Data](https://apify.com/factden/g2-reviews-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/factden/g2-reviews-scraper) to learn more, explore other use cases, and run it yourself.