# Steam Scraper — Game Details, Reviews & Player Counts (`samwise.agency/steam-intel`) Actor

Scrape Steam: game details, prices, genres, Metacritic, live player counts, review scores and recent review text. Search by keyword or app ID. Official Steam endpoints — clean JSON/CSV for games market research.

- **URL**: https://apify.com/samwise.agency/steam-intel.md
- **Developed by:** [samwise.agency](https://apify.com/samwise.agency) (community)
- **Categories:** Games
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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/platform/actors/running/actors-in-store#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 Scraper — Game Details, Reviews & Player Counts

Market research for the biggest PC games platform. Search Steam or feed it app IDs, and get **game details, prices, genres, Metacritic scores, live player counts, and review sentiment** in clean rows.

**What you can extract:**

- 🎮 **Game details** — price, discount, developers, genres, release date, Metacritic
- 👥 **Live player counts** — official concurrent-players API
- 👍 **Review intelligence** — score summary + recent review text with playtime
- 🔍 **Store search** — by niche ("cozy farming sim") or title

### Quick start

1. Click **Run** — default researches "roguelike deckbuilder" games
2. Swap in your genre or competitor titles
3. Schedule weekly = genre health tracking (players, review sentiment, pricing)

### Sample output

```json
{
    "type": "game",
    "appId": 1091500,
    "name": "Cyberpunk 2077",
    "priceUsd": 29.99,
    "discountPercent": 50,
    "developers": ["CD PROJEKT RED"],
    "releaseDate": "Dec 10, 2020",
    "genres": ["RPG"],
    "metacritic": 86,
    "currentPlayers": 24812,
    "reviewScoreDesc": "Very Positive",
    "totalPositive": 512340,
    "totalNegative": 61023
}
```

### Use cases

- **Game studios & publishers** — competitive pricing and sentiment tracking
- **Investors** — player-count trends as engagement signal
- **Content creators** — data-backed "state of the genre" pieces
- **Marketers** — find rising games before they're big

### Pricing

Pay per result row (game or review).

### FAQ

**Data sources?** Steam's own store endpoints and the official Steam Web API, fetched politely within rate limits.

**Player count history?** Schedule the actor to build your own time series.

# Actor input Schema

## `searchQueries` (type: `array`):

Game names or niches to search the Steam store for (e.g. 'roguelike deckbuilder').

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

Specific games by app ID (e.g. 730 = Counter-Strike 2, 570 = Dota 2).

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

Current concurrent players per game (official Steam Web API).

## `includeReviewSummary` (type: `boolean`):

Review score description + positive/negative totals per game.

## `includeReviews` (type: `boolean`):

Also export recent English reviews as separate rows (costs one result each).

## `maxReviewsPerGame` (type: `integer`):

When review text is enabled.

## `maxSearchResults` (type: `integer`):

Cost cap per search.

## Actor input object example

```json
{
  "searchQueries": [
    "roguelike deckbuilder"
  ],
  "appIds": [],
  "includePlayerCount": true,
  "includeReviewSummary": true,
  "includeReviews": false,
  "maxReviewsPerGame": 20,
  "maxSearchResults": 15
}
```

# 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 = {
    "searchQueries": [
        "roguelike deckbuilder"
    ],
    "appIds": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("samwise.agency/steam-intel").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 = {
    "searchQueries": ["roguelike deckbuilder"],
    "appIds": [],
}

# Run the Actor and wait for it to finish
run = client.actor("samwise.agency/steam-intel").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "searchQueries": [
    "roguelike deckbuilder"
  ],
  "appIds": []
}' |
apify call samwise.agency/steam-intel --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=samwise.agency/steam-intel",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/wjsFhZjTHEjob28R2/builds/zpg9y6TXRMVfO9mXZ/openapi.json