# Steam Games Scraper – Prices, Discounts & Reviews (`ninhothedev/steam-games-scraper`) Actor

$1/1K 🔥 Fast Steam games scraper! Titles, price, discount, reviews, genres, release date & screenshots. JSON, CSV, Excel or API in seconds. Search or enter an app ID & extract thousands of games for market & pricing research ⚡

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

## Pricing

from $0.50 / 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 Games Scraper – Prices, Discounts & Reviews

**Scrape Steam games: name, price, discount, Metacritic score, genres, developers, release date and recommendations. As JSON, CSV or Excel. Search or look up by app ID. Free, no key.**

### 💵 Pricing

**Pay per result — $0.0005 per item.** No subscription, no proxy needed. You only pay for the data you scrape, and new Apify accounts include free monthly credits so you can test it for **$0**.

### 🔎 What can it extract?

- Name, type, short description
- **Price + discount %**, currency
- Metacritic score, recommendations
- Developers, publishers, genres, categories
- Release date, platforms, header image

### 🚀 How do I use it?

1. Click **Try for free**.
2. Set the input (see example below).
3. Click **Start** and download results as JSON, CSV or Excel — or pull them via the API / schedule them.

### ⚙️ Input example

```json
{
  "mode": "search",
  "query": "portal",
  "maxItems": 25
}
```

### 📦 Output example

```json
{
  "name": "Portal 2",
  "price_formatted": "$1.99",
  "discount_percent": 80,
  "metacritic_score": 95,
  "developers": [
    "Valve"
  ]
}
```

### 🎯 Use cases

- Game price & discount tracking
- Gaming-market research
- Building game catalogs
- Wishlist/deal alerts on a schedule

### 💰 How much will it cost?

You pay only the per-result price (no proxy cost):
100 → ~$0.05 · 1,000 → ~$0 · 10,000 → ~$5

### 🆚 Why this one

| Feature | This actor | Others |
|---|---|---|
| Price + discount + Metacritic | ✅ | name only |
| Search → details | ✅ | ❌ |
| No key needed | ✅ | sometimes |

### 🔗 Related actors

- [App Store Scraper](https://apify.com/ninhothedev/app-store-scraper) — iOS apps
- [Google Play Scraper](https://apify.com/ninhothedev/google-play-scraper) — Android apps
- [Itunes Store Scraper](https://apify.com/ninhothedev/itunes-store-scraper) — media
- [Fdroid Scraper](https://apify.com/ninhothedev/fdroid-scraper) — FOSS apps

### ❓ FAQ

**Key/proxy?** No. **Regions?** Set country for local prices.

### 🛟 Support

Found a bug or need an extra field? Open an issue on the actor — fixes and new fields ship fast.

### Legal & privacy

Public Steam store data.

***

**Keywords:** steam scraper, game prices, discounts, metacritic, gaming, ecommerce, JSON CSV Excel

# Actor input Schema

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

apps (fetch details for given Steam app ids) or search (find games by query, then fetch details for each match).

## `query` (type: `string`):

Game name or keywords to search the Steam store (mode=search), e.g. 'counter strike'.

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

Steam application ids to fetch directly (mode=apps), e.g. 730 = Counter-Strike 2, 570 = Dota 2.

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

Two-letter country code controlling store region, prices and currency (cc parameter), e.g. 'us', 'de', 'gb'.

## `maxItems` (type: `integer`):

Maximum number of games to return (used for search results).

## Actor input object example

```json
{
  "mode": "apps",
  "query": "counter strike",
  "appIds": [
    "730",
    "570"
  ],
  "country": "us",
  "maxItems": 25
}
```

# Actor output Schema

## `games` (type: `string`):

No description

# 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 = {
    "query": "counter strike",
    "country": "us",
    "maxItems": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("ninhothedev/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 = {
    "query": "counter strike",
    "country": "us",
    "maxItems": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("ninhothedev/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 '{
  "query": "counter strike",
  "country": "us",
  "maxItems": 25
}' |
apify call ninhothedev/steam-games-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/TkFWG2MwEerhZC0w4/builds/hMhJABl1ExaDbFT3r/openapi.json