# Steam Scraper - Games, Details & Reviews (`get_anything/steam-scraper`) Actor

Scrape the Steam store: search games, get full details (price, genres, developers, Metacritic, platforms) and extract user reviews with playtime. Official public Steam endpoints, no API key or browser. Export JSON, CSV or Excel for game market research and review sentiment.

- **URL**: https://apify.com/get\_anything/steam-scraper.md
- **Developed by:** [Get Anything](https://apify.com/get_anything) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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/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 Scraper — Games, Details & Reviews

Scrape the **Steam store**: search games, pull **full details** (price, genres, developers, publishers, Metacritic, release date, platforms, categories) and extract **user reviews** with playtime. Everything comes from Steam's **official public store endpoints** — **no API key, no browser, no proxies**.

### What it does

- **Search** the Steam store by keyword to find games.
- **Details** for any game by **appId** or store URL: price, discount, genres, developers, publishers, Metacritic score, platforms, release date, short description, screenshots.
- **Reviews** (optional) with cursor pagination: text, thumbs-up/down, votes, playtime, purchase type, language, dates.
- Any **country/currency** and **language**.
- Export to **JSON, CSV, or Excel**, or pull via the Apify API.

### Input

| Field | Description |
|-------|-------------|
| `searchTerms` | Keywords, e.g. `roguelike`, `counter strike`. |
| `appIds` | Games by numeric appId or store URL. |
| `country` | Two-letter code for pricing (`us`, `gb`, `ae`…). |
| `language` | Store language. |
| `maxAppsPerSearch` | Cap per search term. |
| `scrapeReviews` | Also pull user reviews. |
| `maxReviewsPerApp` | Cap per game. |
| `reviewsSort` / `reviewType` | Order and filter reviews. |

#### Example

```json
{ "searchTerms": ["roguelike"], "appIds": ["730"], "country": "us",
  "scrapeReviews": true, "maxReviewsPerApp": 100 }
```

### Output

One item per **game** or **review**:

```json
{ "resultType": "game", "appId": 730, "name": "Counter-Strike 2",
  "isFree": true, "genres": ["Action","FPS"], "metacritic": 83,
  "platforms": ["windows"], "url": "https://store.steampowered.com/app/730" }
```

### Use cases

- **Game market research** — pricing, genres, Metacritic across titles.
- **Review sentiment** — feed reviews (with playtime) to an LLM.
- **Catalog & discovery** — build a games dataset by keyword.

### FAQ

**Do I need an API key?** No — it uses Steam's public store endpoints.

**Can I get reviews in one language?** Yes — filter by review language and sort/type.

*Not affiliated with Valve/Steam. Data is public; use responsibly.*

# Actor input Schema

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

Keywords to search the Steam store, e.g. 'roguelike', 'counter strike', 'baldur's gate'. Leave empty if you only pass app IDs.

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

Specific games by numeric appId (e.g. '730') or store URL (e.g. 'https://store.steampowered.com/app/730/'). These get a full details lookup.

## `country` (type: `string`):

Two-letter country code for pricing, e.g. 'us', 'gb', 'ae', 'de'.

## `language` (type: `string`):

Steam store language for details, e.g. 'english', 'arabic', 'german'.

## `maxAppsPerSearch` (type: `integer`):

Cap on games returned per search term (Steam search returns up to ~50).

## `scrapeReviews` (type: `boolean`):

For every game found, pull its user reviews too (with cursor pagination).

## `maxReviewsPerApp` (type: `integer`):

Cap on reviews per game. Steam paginates 100 at a time.

## `reviewLanguage` (type: `string`):

Filter reviews by language, e.g. 'all', 'english', 'arabic'.

## `reviewsSort` (type: `string`):

Order in which reviews are fetched.

## `reviewType` (type: `string`):

Filter reviews by recommendation.

## Actor input object example

```json
{
  "searchTerms": [
    "roguelike"
  ],
  "appIds": [],
  "country": "us",
  "language": "english",
  "maxAppsPerSearch": 20,
  "scrapeReviews": false,
  "maxReviewsPerApp": 100,
  "reviewLanguage": "all",
  "reviewsSort": "recent",
  "reviewType": "all"
}
```

# Actor output Schema

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

Structured results in the default dataset - one item per game or review.

# 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 = {
    "searchTerms": [
        "roguelike"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("get_anything/steam-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 = { "searchTerms": ["roguelike"] }

# Run the Actor and wait for it to finish
run = client.actor("get_anything/steam-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 '{
  "searchTerms": [
    "roguelike"
  ]
}' |
apify call get_anything/steam-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,get_anything/steam-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/fRcqGMvQukdMl0Wac/builds/Zl6f5a8F4hL9bxFNg/openapi.json