# Analyze CS:GO Review Sentiment for Market Research

**Use case:** 

Extract thousands of English reviews for Counter-Strike: Global Offensive to understand player sentiment and identify common themes. This data is crucial for ma

## Input

```json
{
  "startUrls": [
    {
      "url": "https://store.steampowered.com/app/730/CounterStrike_Global_Offensive/"
    }
  ],
  "gameNames": [],
  "maxReviews": 500,
  "reviewType": "all",
  "language": "english"
}
```

## Output

```json
{
  "gameTitle": {
    "label": "Game",
    "format": "text"
  },
  "rating": {
    "label": "Rating",
    "format": "text"
  },
  "reviewText": {
    "label": "Review",
    "format": "text"
  },
  "authorSteamId": {
    "label": "Author",
    "format": "text"
  },
  "authorPlaytimeForever": {
    "label": "Playtime (hrs)",
    "format": "number"
  },
  "votesHelpful": {
    "label": "Helpful Votes",
    "format": "number"
  },
  "timestampCreated": {
    "label": "Date",
    "format": "text"
  },
  "language": {
    "label": "Language",
    "format": "text"
  },
  "receivedForFree": {
    "label": "Free Copy",
    "format": "text"
  },
  "writtenDuringEarlyAccess": {
    "label": "Early Access",
    "format": "text"
  },
  "scrapedAt": {
    "label": "Scraped At",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Steam Review Scraper](https://apify.com/crawlerbros/steam-review-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/crawlerbros/steam-review-scraper) to learn more, explore other use cases, and run it yourself.


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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/crawlerbros/steam-review-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).