# Monitor high-savings PC game deals

**Use case:** 

Build a recurring monitoring feed of current PC game deals with at least 70% savings and strong Steam ratings.

## Input

```json
{
  "searchQueries": [
    "Civilization",
    "Batman"
  ],
  "storeIds": [
    "1",
    "7"
  ],
  "maxPrice": 30,
  "minimumSavings": 70,
  "minimumSteamRating": 75,
  "onlyOnSale": true,
  "sortBy": "recent",
  "descending": true,
  "maxItems": 30
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "storeName": {
    "label": "Store",
    "format": "string"
  },
  "salePrice": {
    "label": "Sale price",
    "format": "number"
  },
  "regularPrice": {
    "label": "Regular price",
    "format": "number"
  },
  "savingsPercent": {
    "label": "Savings",
    "format": "number"
  },
  "dealRating": {
    "label": "Deal rating",
    "format": "number"
  },
  "steamRatingPercent": {
    "label": "Steam rating percent",
    "format": "number"
  },
  "lastChangeAt": {
    "label": "Last changed",
    "format": "string"
  },
  "dealUrl": {
    "label": "Deal URL",
    "format": "string"
  },
  "thumbnailUrl": {
    "label": "Thumbnail",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [CheapShark Game Deals Scraper](https://apify.com/automation-lab/cheapshark-pc-game-deals.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/cheapshark-pc-game-deals.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.

- **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/automation-lab/cheapshark-pc-game-deals.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).