# Starfield Game Reviews Sentiment Analysis

**Use case:** 

Collect and analyze sentiment from 100 Starfield game reviews. Get detailed insights and export data in CSV or JSON format.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://store.steampowered.com/app/570/Dota_2/"
    }
  ],
  "appIds": [
    "1716740"
  ],
  "searchQueries": [],
  "scrapeGameDetails": true,
  "scrapeReviews": true,
  "maxReviews": 100,
  "reviewLanguage": "english",
  "reviewFilter": "all",
  "reviewType": "all",
  "maxGames": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "type": {
    "label": "Type",
    "format": "text"
  },
  "appId": {
    "label": "App ID",
    "format": "text"
  },
  "name": {
    "label": "Game",
    "format": "text"
  },
  "genres": {
    "label": "Genres",
    "format": "text"
  },
  "priceCurrent": {
    "label": "Price",
    "format": "text"
  },
  "metacriticScore": {
    "label": "Metacritic",
    "format": "number"
  },
  "releaseDate": {
    "label": "Release Date",
    "format": "text"
  },
  "recommended": {
    "label": "Recommended",
    "format": "text"
  },
  "reviewText": {
    "label": "Review",
    "format": "text"
  },
  "language": {
    "label": "Language",
    "format": "text"
  },
  "reviewerPlaytimeTotal": {
    "label": "Hours Played",
    "format": "number"
  },
  "votesHelpful": {
    "label": "Helpful Votes",
    "format": "number"
  },
  "timestampCreated": {
    "label": "Created",
    "format": "text"
  },
  "scrapedAt": {
    "label": "Scraped At",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Steam Reviews Scraper - Game Reviews & Sentiment](https://apify.com/logiover/steam-game-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/logiover/steam-game-reviews-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/logiover/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).
