# Steam Games Scraper (`bgfc97/steam-games-scraper`) Actor

Scrape game data from the Steam store — name, price, discount, genres, categories, developers, publishers, release date, platforms, Metacritic score, reviews summary, languages and images — by app ID or by name search. No key, no proxy.

- **URL**: https://apify.com/bgfc97/steam-games-scraper.md
- **Developed by:** [Bruno](https://apify.com/bgfc97) (community)
- **Categories:** E-commerce, Business, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.60 / 1,000 game scrapeds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Games Scraper 🎮

Scrape game data from the **Steam store** — price, discount, genres, developers, release date, Metacritic score, reviews summary and more. Look up games by **app ID** or by **name search**.

Perfect for **game price tracking, market research, deal/discount alerts, key-reseller sites, game databases and AI datasets.**

### What it extracts (one row per game)

- `appid`, `name`, `app_type`, `is_free`
- `price_currency`, `price_initial`, `price_final`, `discount_percent`
- `genres`, `categories`, `developers`, `publishers`
- `release_date`, `coming_soon`, `platforms`
- `metacritic_score`, `recommendations_total`
- `review_score_desc`, `review_positive`, `review_negative`, `review_total`
- `supported_languages`, `header_image`, `website`, `url`

### Input

```json
{
  "appIds": ["730", "570", "1091500"],
  "searchQueries": ["cyberpunk"],
  "country": "us",
  "language": "en",
  "includeReviews": true
}
```

- **appIds** — Steam application IDs (e.g. `730` = Counter-Strike 2).
- **searchQueries** — find games (and their app IDs) by name.
- **country** — currency/region for pricing (`us`, `br`, `gb`, …).

### Output example

```json
{
  "type": "game",
  "appid": 730,
  "name": "Counter-Strike 2",
  "is_free": true,
  "price_final": 0,
  "genres": ["Action", "Free To Play"],
  "developers": ["Valve"],
  "release_date": "21 Aug, 2012",
  "metacritic_score": 83,
  "review_score_desc": "Very Positive",
  "review_positive": 7200000,
  "review_total": 8100000,
  "url": "https://store.steampowered.com/app/730"
}
```

### Notes

- Uses Steam's public store endpoints — free, no key.
- Respects Steam's per-IP rate limits automatically; use datacenter proxy for very high volume.

# Actor input Schema

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

Steam application IDs to fetch full game data for (e.g. 730 for Counter-Strike 2, 570 for Dota 2).

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

Game names to search the Steam store for matching titles + their app IDs.

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

2-letter country code for pricing/region, e.g. 'us', 'br', 'gb', 'de'.

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

Store language, e.g. 'en', 'portuguese', 'spanish'.

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

If ON, adds the overall review summary (score description, total positive/negative) for each game.

## `proxyConfiguration` (type: `object`):

Optional. Datacenter proxy helps at high volume (Steam rate-limits by IP).

## Actor input object example

```json
{
  "appIds": [
    "730",
    "570"
  ],
  "searchQueries": [],
  "country": "us",
  "language": "en",
  "includeReviews": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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"
    ],
    "searchQueries": [],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bgfc97/steam-games-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",
    ],
    "searchQueries": [],
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("bgfc97/steam-games-scraper").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 '{
  "appIds": [
    "730",
    "570"
  ],
  "searchQueries": [],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call bgfc97/steam-games-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=bgfc97/steam-games-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/xHtiPDgumEooNAtfD/builds/RtArY8HCERFXjEb3Q/openapi.json