# Steam Counter-Strike 2 reviews | Steam Game Reviews Scraper

**Use case:** 

Run Steam Counter-Strike 2 reviews with Steam Game Reviews Scraper. Adjust the selected inputs and export structured results for research, monitoring.

## Input

```json
{
  "appId": "730",
  "language": "all",
  "purchaseType": "all",
  "maxResults": 100
}
```

## Output

```json
{
  "appId": {
    "label": "App id"
  },
  "recommendationId": {
    "label": "Recommendation id"
  },
  "language": {
    "label": "Language"
  },
  "votedUp": {
    "label": "Voted up"
  },
  "votesUp": {
    "label": "Votes up"
  },
  "weightedVoteScore": {
    "label": "Weighted vote score"
  },
  "playtimeForever": {
    "label": "Playtime forever"
  },
  "review": {
    "label": "Review"
  },
  "reviewCreatedAt": {
    "label": "Review created at"
  },
  "steamUrl": {
    "label": "Steam url"
  }
}
```

## About this Actor

This example demonstrates how to use [Steam Game Reviews Scraper](https://apify.com/neuton/steam-game-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/neuton/steam-game-reviews-scraper.md) 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/neuton/steam-game-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).