# Track Resident Evil games on Steam: prices, reviews, owners

**Use case:** 

Searches Steam for 'Resident Evil' and returns Steam's top 10 matching games, one row each: price, release date, developer, genres, review score, total reviews, players online now, SteamSpy owner-range estimate and top tags. Titles not yet released come back without a price or reviews, and SteamSpy estimates can lag on recent releases. For game marketers and analysts comparing a franchise.

## Input

```json
{
  "appIds": [],
  "searchTerms": [
    "Resident Evil"
  ],
  "includeReviews": false,
  "maxReviewsPerGame": 20,
  "includeSteamSpy": true,
  "includePlayerCount": true,
  "country": "us",
  "maxResults": 10,
  "maxRunSeconds": 240
}
```

## Output

```json
{
  "type": {
    "label": "Type",
    "format": "text"
  },
  "appId": {
    "label": "App ID",
    "format": "number"
  },
  "name": {
    "label": "Game",
    "format": "text"
  },
  "price": {
    "label": "Price",
    "format": "number"
  },
  "discountPercent": {
    "label": "Disc %",
    "format": "number"
  },
  "releaseDate": {
    "label": "Released",
    "format": "text"
  },
  "developers": {
    "label": "Developer",
    "format": "text"
  },
  "genres": {
    "label": "Genres",
    "format": "text"
  },
  "reviewScoreDesc": {
    "label": "Review score",
    "format": "text"
  },
  "totalReviews": {
    "label": "Reviews",
    "format": "number"
  },
  "currentPlayers": {
    "label": "Playing now",
    "format": "number"
  },
  "ownersEstimate": {
    "label": "Owners (est.)",
    "format": "text"
  },
  "topTags": {
    "label": "Top tags",
    "format": "text"
  },
  "storeUrl": {
    "label": "Store",
    "format": "link"
  }
}
```

## About this Actor

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


## How to integrate an Actor?

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

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

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

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).