# Newest roguelike games, demos and DLC on Steam

**Use case:** 

The first 50 results Steam store search returns for "roguelike", sorted by release date, newest first, including demos and DLC as Steam lists them: appid, name, type (game, demo or dlc), free or paid, final and original price, discount, currency, release date, developers, publishers, genres, platforms, store link, and Metacritic score and recommendations where Steam has them.

## Input

```json
{
  "search_terms": [
    "roguelike"
  ],
  "country_code": "us",
  "sort": "released_desc",
  "max_records": 50,
  "request_interval_ms": 1500,
  "contact_email": "info@steelyardclinical.com"
}
```

## Output

```json
{
  "appid": {
    "label": "App id",
    "format": "number"
  },
  "name": {
    "label": "Name",
    "format": "text"
  },
  "type": {
    "label": "Type",
    "format": "text"
  },
  "is_free": {
    "label": "Free",
    "format": "boolean"
  },
  "price_final": {
    "label": "Price",
    "format": "number"
  },
  "price_initial": {
    "label": "List price",
    "format": "number"
  },
  "discount_percent": {
    "label": "Discount %",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "text"
  },
  "release_date": {
    "label": "Released",
    "format": "text"
  },
  "developers": {
    "label": "Developers",
    "format": "array"
  },
  "publishers": {
    "label": "Publishers",
    "format": "array"
  },
  "genres": {
    "label": "Genres",
    "format": "array"
  },
  "platforms": {
    "label": "Platforms",
    "format": "array"
  },
  "metacritic_score": {
    "label": "Metacritic",
    "format": "number"
  },
  "recommendations": {
    "label": "Recommendations",
    "format": "number"
  },
  "store_url": {
    "label": "Store",
    "format": "link"
  },
  "header_image": {
    "label": "Header image",
    "format": "image"
  },
  "fetched_at": {
    "label": "Fetched",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [Steam store games - search, details, prices (public store APIs)](https://apify.com/retrainmap/steam-games.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/retrainmap/steam-games.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/retrainmap/steam-games.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`).