# Steam Deals & Featured Games Scraper (`ninhothedev/steam-deals-scraper`) Actor

$0.5/1K 🔥 Steam deals scraper! Discounted & featured games with price, discount % and platforms. No key. JSON, CSV, Excel or API in seconds. Track game deals & power price-comparison sites ⚡

- **URL**: https://apify.com/ninhothedev/steam-deals-scraper.md
- **Developed by:** [ninhothedev](https://apify.com/ninhothedev) (community)
- **Categories:** E-commerce, Developer tools
- **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 Deals & Featured Games Scraper

Scrape **Steam deals, discounts and featured games** straight from Steam's public storefront API — **no API key, no login, no cookies**. Get every discounted game with its **discount percentage, original price, final price, savings amount, currency, platform availability and discount expiry date**, for any Steam country/region.

Perfect for **game deal tracking**, **price comparison sites**, **affiliate marketing** and **game market research**.

***

### What this Actor does

The Actor calls Steam's own storefront endpoint (`store.steampowered.com/api/featuredcategories`) — the exact same JSON the Steam store front page loads in your browser — and turns the raw carousels into one clean, flat record per game.

You choose which categories to pull:

| Category key | What you get |
|---|---|
| `specials` | Currently discounted games (the classic Steam sale list) |
| `top_sellers` | Best-selling games right now |
| `new_releases` | Newly released titles |
| `coming_soon` | Upcoming, unreleased games |
| *spotlight names* | Steam's rotating promo carousels (e.g. `Spotlights`) |

Prices come back in the currency of the **country code** you pass, so you can compare regional Steam pricing across the US, Germany, Brazil, Japan and more.

***

### Features

- **No API key required** — pure public storefront JSON
- **Real-time discount data** — discount %, original price, final price, savings
- **Regional pricing** — set any Steam `cc` code (`us`, `de`, `gb`, `br`, `jp`, `ru`, …)
- **Platform flags** — Windows / macOS / Linux availability per game
- **Discount expiry** — Unix expiry converted to a clean ISO-8601 UTC timestamp
- **Deduplicated** — one record per game per category
- **Fast & cheap** — a full run costs roughly **$0.5 per 1,000 results**
- **Clean, flat output** — ready for Google Sheets, CSV, Excel, JSON, or your own database

***

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `mode` | select | `deals` | What to scrape. `deals` pulls the selected featured/deal categories. |
| `categories` | array | `["specials","top_sellers","new_releases"]` | Steam featured-category keys to scrape. |
| `country` | string | `us` | Two-letter Steam country code controlling region, currency and pricing. |
| `maxItems` | integer | `200` | Maximum number of games pushed to the dataset (max 2000). |

#### Example input

```json
{
  "mode": "deals",
  "categories": ["specials", "top_sellers", "new_releases"],
  "country": "us",
  "maxItems": 200
}
```

Want German prices in EUR? Just change the country:

```json
{
  "mode": "deals",
  "categories": ["specials"],
  "country": "de",
  "maxItems": 100
}
```

***

### Output

Every dataset item is one game:

```json
{
  "app_id": 1091500,
  "name": "Cyberpunk 2077",
  "category": "specials",
  "discounted": true,
  "discount_percent": 70,
  "original_price": 59.99,
  "final_price": 17.99,
  "currency": "USD",
  "savings_amount": 42.0,
  "windows": true,
  "mac": true,
  "linux": false,
  "discount_expires": "2026-08-10T17:00:00+00:00",
  "header_image": "https://shared.akamai.steamstatic.com/store_item_assets/steam/apps/1091500/header.jpg",
  "url": "https://store.steampowered.com/app/1091500",
  "country": "us",
  "source": "steam",
  "scraped_at": "2026-07-28T01:51:49.964026+00:00"
}
```

#### Field reference

| Field | Description |
|---|---|
| `app_id` | Steam application ID |
| `name` | Game title |
| `category` | Which featured category the game came from |
| `discounted` | Whether the game is currently on sale |
| `discount_percent` | Discount as an integer percentage (e.g. `70`) |
| `original_price` | Full price in major currency units |
| `final_price` | Current price after discount |
| `currency` | ISO currency code for the selected country |
| `savings_amount` | `original_price − final_price` |
| `windows` / `mac` / `linux` | Platform availability booleans |
| `discount_expires` | ISO-8601 UTC timestamp when the sale ends |
| `header_image` | Steam capsule/header image URL |
| `url` | Direct Steam store page link |
| `country` | The Steam `cc` code used for the run |
| `source` | Always `steam` |
| `scraped_at` | ISO-8601 UTC scrape timestamp |

All fields are nullable — Steam omits prices for unreleased titles, and `discount_expires` only exists while a sale is running.

***

### Use cases

- **Game deal tracking** — run the Actor on a schedule and alert your users the moment a wishlisted game drops below a target price.
- **Price comparison** — pull the same `specials` list across multiple `country` codes and surface the cheapest Steam region for each title.
- **Affiliate sites** — power "Today's best Steam deals" pages with fresh discount percentages, savings amounts and header images, fully automated.
- **Market research** — track discount depth, sale frequency and platform coverage across publishers and genres over time.

***

### Pricing

Roughly **$0.5 per 1,000 results**. Runs are short and lightweight (512 MB, a single API call per run), so a typical 200-item deals run costs cents.

***

### Scheduling

Steam rotates its front page carousels and sale lineup constantly. Use Apify's **Schedules** to run this Actor hourly or daily and build a historical price database — combine it with the **Apify API** or an integration (Zapier, Make, Slack, Google Sheets) to push new deals straight to your users.

***

### Related Actors

- [Steam Games Scraper](https://apify.com/ninhothedev/steam-games-scraper) — full game details, tags, reviews and descriptions
- [Steam Charts Scraper](https://apify.com/ninhothedev/steam-charts-scraper) — concurrent player counts and popularity rankings
- [GOG Games Scraper](https://apify.com/ninhothedev/gog-games-scraper) — DRM-free store catalog and discounts
- [itch.io Games Scraper](https://apify.com/ninhothedev/itchio-games-scraper) — indie game listings and pricing

***

### FAQ

**Do I need a Steam API key?**
No. This Actor only uses public storefront endpoints that require no authentication.

**How many deals can I get?**
Steam's featured endpoint returns a curated slice of each category (typically 10–30 items per category). Combine several categories and multiple country codes for broader coverage.

**Can I get prices in my local currency?**
Yes — set `country` to your Steam region code and prices are returned in that region's currency.

**Is scraping Steam legal?**
This Actor only reads publicly available, non-personal store data — the same information any visitor sees on the Steam store page. Always review Steam's terms and use the data responsibly.

***

### Support

Found a bug or need an extra field? Open an issue on the Actor page and it will be addressed quickly.

# Actor input Schema

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

What to scrape. 'deals' pulls the selected featured/deal categories from Steam's public storefront API (specials, top sellers, new releases, coming soon and spotlight carousels).

## `categories` (type: `array`):

Steam featured-category keys to scrape. Common values: 'specials' (discounted games), 'top\_sellers', 'new\_releases', 'coming\_soon'. You may also pass a spotlight carousel name such as 'Spotlights'. Unknown keys are ignored.

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

Two-letter Steam country code that decides the store region, currency and regional pricing, e.g. 'us', 'de', 'gb', 'br', 'jp'. Defaults to 'us' (USD).

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

Maximum number of games to push to the dataset across all selected categories. Use a lower value for quick test runs. Maximum 2000.

## Actor input object example

```json
{
  "mode": "deals",
  "categories": [
    "specials",
    "top_sellers",
    "new_releases"
  ],
  "country": "us",
  "maxItems": 200
}
```

# 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 = {
    "categories": [
        "specials",
        "top_sellers",
        "new_releases"
    ],
    "country": "us",
    "maxItems": 200
};

// Run the Actor and wait for it to finish
const run = await client.actor("ninhothedev/steam-deals-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 = {
    "categories": [
        "specials",
        "top_sellers",
        "new_releases",
    ],
    "country": "us",
    "maxItems": 200,
}

# Run the Actor and wait for it to finish
run = client.actor("ninhothedev/steam-deals-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 '{
  "categories": [
    "specials",
    "top_sellers",
    "new_releases"
  ],
  "country": "us",
  "maxItems": 200
}' |
apify call ninhothedev/steam-deals-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/mXdqiBbBAhbfN1ak9/builds/v4cfs6iLUoFStD91a/openapi.json