# Steam Games, Player Counts, and Discounts Radar (`adaptive_nightmare/steam-game-radar`) Actor

Scrape Steam top sellers, real-time concurrent player counts, special sales, new releases, and keyword search results with zero proxies.

- **URL**: https://apify.com/adaptive_nightmare/steam-game-radar.md
- **Developed by:** [Darim Quraishi](https://apify.com/adaptive_nightmare) (community)
- **Categories:** Games, Business, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.90 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Steam Games, Player Counts and Discounts Scraper

Scrape Steam top sellers, current player counts, discounted titles, new releases, and store search queries using official Steam endpoints.

### Features

- Tracks top-selling games, new releases, coming-soon titles, and special discounts.
- Enriches games with live concurrent player counts via the Steam UserStats API.
- Extracts base prices, final prices, discount percentages, and currency symbols.
- Supports keyword searches across game titles, genres, and tags.
- Allows passing specific Steam App IDs for targeted tracking.
- Runs over open endpoints without requiring Steam API developer keys.

### Input parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `mode` | String | `"featured"` | `featured` (charts), `search` (keywords), or `app_ids` (specific games). |
| `category` | String | `"all"` | `all`, `top_sellers`, `specials`, `new_releases`, or `coming_soon`. |
| `searchTerms` | Array | `["cyberpunk", "rpg"]` | Search keywords when `mode` is `search`. |
| `appIds` | Array | `[730, 570, 1091500]` | List of Steam App IDs when `mode` is `app_ids`. |
| `includePlayerCount` | Boolean | `true` | Enrich each game with live concurrent player count. |
| `maxItems` | Integer | `50` | Maximum items to output into the dataset. |

### Output format

`json
{
  "mode": "featured",
  "category": "all",
  "includePlayerCount": true,
  "maxItems": 50
}
`

### Use cases

- Discount tracking: Power gaming deal bots and alert feeds with active sales.
- Market research: Track concurrent player counts to evaluate game longevity and player retention.
- Competitive pricing: Monitor competitor release prices and discount patterns.
- Gaming content: Identify breakout indie titles gaining active player momentum.

### Pricing and efficiency

- Typical runtime: 2 to 4 seconds per execution.
- Zero proxy costs: Runs over public REST and RSS endpoints without residential proxy pools.
- Suitable for scheduled runs and continuous monitoring under standard platform limits.

# Actor input Schema

## `mode` (type: `string`):

Choose whether to fetch featured Steam categories (top sellers, specials, new releases), search by keywords, or monitor specific App IDs.

## `category` (type: `string`):

Select which category to fetch when Discovery Mode is set to 'featured'.

## `searchTerms` (type: `array`):

Search keywords or game titles (e.g., 'cyberpunk', 'roguelike', 'rpg', 'survival') when Mode is 'search'.

## `appIds` (type: `array`):

List of Steam numerical App IDs (e.g. 730 for CS2, 1091500 for Cyberpunk 2077) when Mode is 'app_ids'.

## `includePlayerCount` (type: `boolean`):

Enrich each game with live concurrent player count using official Steam stats.

## `maxItems` (type: `integer`):

Maximum total games to save into the dataset.

## Actor input object example

```json
{
  "mode": "featured",
  "category": "all",
  "searchTerms": [
    "cyberpunk",
    "rpg"
  ],
  "appIds": [
    730,
    570,
    1091500
  ],
  "includePlayerCount": true,
  "maxItems": 50
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("adaptive_nightmare/steam-game-radar").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("adaptive_nightmare/steam-game-radar").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call adaptive_nightmare/steam-game-radar --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,adaptive_nightmare/steam-game-radar"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/hEQGX1bBpnFcAMGKF/builds/IMVaJIC5bB5YQUTtH/openapi.json