# 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
- **Features:** Limited permissions
- **Stats:** 3 total users, 2 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/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 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(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"
  ],
  "searchQueries": [],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call bgfc97/steam-games-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bgfc97/steam-games-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/xHtiPDgumEooNAtfD/builds/RtArY8HCERFXjEb3Q/openapi.json