# Steam Spy Scraper - Game Stats, Owners, Player Counts (`gio21/steam-spy-scraper`) Actor

Scrape Steam game player counts, ownership ranges, and tag breakdowns from the Steam Spy public API.

- **URL**: https://apify.com/gio21/steam-spy-scraper.md
- **Developed by:** [Gio](https://apify.com/gio21) (community)
- **Categories:** E-commerce, Developer tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 game scrapeds

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

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).

# README

## Steam Spy Scraper

Scrape **Steam game player stats**: player counts, ownership ranges, peak concurrent users, positive/negative review counts, tags via the public Steam Spy API. No key.

For game industry research, market sizing, competitor benchmarking, indie dev intel.

### Modes

| Mode | What |
|------|------|
| `by_appids` | Game details for specific AppIDs |
| `top100in2weeks` | Top 100 by 2-week player count |
| `top100forever` | Top 100 by all-time players |
| `top100owned` | Top 100 by owners |
| `by_genre` | All games in a genre |
| `by_tag` | All games with a tag |

### Input

| Field | Type | Description |
|-------|------|-------------|
| `mode` | String (required) | One of the above. |
| `appids` | Array | Steam AppIDs. |
| `genre` | String | Genre name. |
| `tag` | String | Steam tag name. |

### Output

```json
{
  "appid": 730, "name": "Counter-Strike 2",
  "developer": "Valve", "publisher": "Valve",
  "owners": "50,000,000 .. 100,000,000",
  "average_forever": 25000, "average_2weeks": 4200,
  "ccu": 1180000, "positive": 8500000, "negative": 950000,
  "priceUsdCents": 0, "initialpriceUsdCents": 0, "discount": 0,
  "tags": ["FPS","Shooter","Multiplayer","Competitive","Esports"],
  "url": "https://store.steampowered.com/app/730"
}
```

### Pricing

$0.0005/game.

If this actor helped you, please leave a review on the Apify Store.

# Actor input Schema

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

What to fetch via the Steam Spy public API.

## `appids` (type: `array`):

For by\_appids mode (e.g. \['730','570','440']).

## `genre` (type: `string`):

For by\_genre mode (e.g. 'RPG', 'Action').

## `tag` (type: `string`):

For by\_tag mode (e.g. 'roguelike').

## `debug` (type: `boolean`):

Verbose logging.

## Actor input object example

```json
{
  "mode": "by_appids",
  "appids": [
    "730",
    "570"
  ],
  "genre": "RPG",
  "tag": "roguelike",
  "debug": false
}
```

# Actor output Schema

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

appid, name, developer, publisher, owners, average\_forever, average\_2weeks, median\_forever, median\_2weeks, ccu, price, initialprice, discount, score\_rank, positive, negative, tags, languages, genre.

# 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 = {
    "appids": [
        "730",
        "570"
    ],
    "genre": "RPG",
    "tag": "roguelike"
};

// Run the Actor and wait for it to finish
const run = await client.actor("gio21/steam-spy-scraper").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 = {
    "appids": [
        "730",
        "570",
    ],
    "genre": "RPG",
    "tag": "roguelike",
}

# Run the Actor and wait for it to finish
run = client.actor("gio21/steam-spy-scraper").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 '{
  "appids": [
    "730",
    "570"
  ],
  "genre": "RPG",
  "tag": "roguelike"
}' |
apify call gio21/steam-spy-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gio21/steam-spy-scraper"
        }
    }
}

```

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/UH8dwM7q81mjqn5ta/builds/DBU97bh5EjAj8F0y3/openapi.json