# Steam Scraper: Games, Prices & Top Sellers (`glitchbound/steam-scraper`) Actor

Scrape the Steam store: search games, pull full details with price, discount, genres, developers, Metacritic score and recommendation counts, plus current Top Sellers. Any country.

- **URL**: https://apify.com/glitchbound/steam-scraper.md
- **Developed by:** [Daniel Meshulam](https://apify.com/glitchbound) (community)
- **Categories:** E-commerce, Automation, SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 games

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Scraper: Games, Prices & Top Sellers

Pull structured game data from the Steam store: **search by keyword**, **look up games by app ID**, and **read the live Top Sellers chart**, with real prices for any country.

Built on Steam's own public store endpoints, so there is no login, no key and no bot wall.

### Do you need an API key? No. Is there a free tier? Yes.

The two things people search for in this category, measured, are **free** and
**API key**: `steam api free games`.

So, plainly:

- **No API key.** Nothing to register for, nothing to rotate, no key to leak in
  a repo. The source is a public API published deliberately by its owner.
- **No proxy setup.** The source does not bot-wall datacenter addresses, so the
  default works.
- **Pay per result, not per month.** There is no subscription and no minimum.
  Rows that error or that your filters drop are **not charged**.
- **Free to try.** Run it with the prefilled input and see real rows before
  deciding anything.

### What you get

Every row is one game:

| Field | Example |
|---|---|
| `title` | `Hades II` |
| `appId` | `1145350` |
| `price` / `currency` | `29.99` / `USD` |
| `originalPrice`, `discountPercent` | `49.99`, `40` |
| `isFree` | `false` |
| `genres`, `categories` | `["Action","Indie"]` |
| `developers`, `publishers` | `["Supergiant Games"]` |
| `metacriticScore` | `92` |
| `recommendationCount` | `184213` |
| `releaseDate`, `comingSoon` | `28 Sep, 2024` |
| `platforms` | `{windows: true, mac: true, linux: false}` |
| `topSellerRank` | `5` (only on Top Sellers rows) |
| `url`, `headerImage`, `shortDescription` | |

### Three modes, one Actor

**Search**: `searchTerms: ["roguelike", "city builder"]`
Find every game matching a keyword, with full details. Use `maxResultsPerSearch` to cap.

**Direct lookup**: `appIds: ["730", "570"]`
Track specific games. Perfect for a daily price-watch schedule.

**Top Sellers**: `includeTopSellers: true`
Steam's current best-selling chart, ranked. Schedule it daily and you have your own sales-trend dataset.

You can combine all three in one run.

### Example input

```json
{
  "searchTerms": ["roguelike"],
  "appIds": ["730"],
  "includeTopSellers": true,
  "maxResultsPerSearch": 20,
  "country": "us"
}
```

### Regional pricing

Set `country` to any two-letter code (`us`, `gb`, `de`, `br`, `tr`, `il`…) and Steam returns that region's price and currency. Run the same app IDs across several countries to build a regional price-comparison table.

### Who this is for

- **Game devs & publishers**: track competitor pricing, discount depth and review counts
- **Deal sites & bots**: detect discounts the moment they go live
- **Market analysts**: chart what genres are selling, using the Top Sellers list over time
- **AI / dataset builders**: clean structured game metadata with descriptions and tags

### Pricing

Pay per result. You are charged only for rows that come back with data. Failed lookups are returned as `error` rows and cost nothing.

### Regional pricing, which is the whole reason to run it per country

Steam prices the same game differently in every region, and the `country` input
is passed straight through as the `cc` parameter, so any Steam storefront works:
`us`, `gb`, `de`, `fr`, `it`, `es`, `pl`, `ru`, `tr`, `br`, `ar`, `mx`, `jp`,
`kr`, `cn`, `in`, `au`, `ca`, `il` and the rest.

Run several and the same `appId` comes back once per country with that region's
`price`, `originalPrice`, `discountPercent` and `currency`, which is how you see
a regional price gap rather than guess at one.

`language` sets the language of the returned text (title, description, genres),
independently of the pricing country.

**Per game** you get title, app ID, `appType`, release date and coming-soon flag,
developers, publishers, genres, categories, price with any active discount,
Metacritic score, recommendation count, supported platforms, required age,
header image, and the store URL.

**Free-to-play titles** come back with `isFree: true` and no price, rather than
a misleading zero.

### Notes

- Steam rate-limits aggressive clients. This Actor paces requests and rotates proxy IPs automatically; leave the default Apify proxy on.
- Games that are region-locked or delisted return an `error` row rather than failing the whole run.
- Set a **max charge per run** in the run options if you want a hard spend ceiling. The Actor honors it and stops cleanly.

### FAQ

#### Do I need a Steam API key or a Steam account?

No. This uses Steam's own public store endpoints, the same ones the store pages
themselves call, so there is no login, no key and no bot wall.

#### How do I find a game's app ID?

It is in the store URL: `store.steampowered.com/app/1145350/` is app ID
`1145350`. If you only know the name, search by keyword first and the app ID
comes back on every row.

#### Can I get prices for a specific country?

Yes, and this is the main reason to use it over a single-region scraper. Set
`country` to any two-letter code such as `us`, `gb`, `de`, `br`, `tr` or `il`, and Steam
returns that region's price and currency. Run the same `appIds` across several
countries in separate runs to build a regional price-comparison table.

#### Can I detect a discount the moment it goes live?

Schedule a run with your `appIds` and watch `discountPercent` and `price`
against `originalPrice`. Steam exposes those on the store payload, so a scheduled
run every few hours is enough to catch a sale as it starts.

#### Does it return user reviews?

No. It returns `recommendationCount`, meaning how many recommendations a game
has, and `metacriticScore`, but not individual review text.

#### What happens with delisted or region-locked games?

They come back as `error` rows naming the problem, and error rows are never
charged. The rest of the run continues.

#### Can I track what genres are selling over time?

Yes. Set `includeTopSellers: true` on a daily schedule. Each row carries
`topSellerRank` and its genres, so a few weeks of runs gives you your own
sales-trend dataset that Steam does not publish historically.

# Actor input Schema

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

Keywords to search the Steam store for, one per line (e.g. "roguelike", "city builder").

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

Steam app IDs to look up directly (e.g. 730 for Counter-Strike 2). You can paste the URL instead of the identifier, e.g. https://store.steampowered.com/app/570/Dota\_2/ works.

## `includeTopSellers` (type: `boolean`):

Also pull Steam's current Top Sellers, with a topSellerRank on each row. Schedule it daily to track what's selling.

## `maxResultsPerSearch` (type: `integer`):

How many games to return per search term (Steam's search returns up to ~100).

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

Two-letter country code, since prices and availability differ per region.

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

Two-letter language code for store text.

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

Proxy settings.

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

A hard ceiling on rows for the entire run, across every target. The per-target limits above cap each one separately, so fifty targets at twenty each is still a thousand rows; this caps the total. The run stops cleanly when it is reached and nothing beyond that point is fetched or charged. Leave empty for no ceiling.

## Actor input object example

```json
{
  "searchTerms": [
    "roguelike"
  ],
  "includeTopSellers": false,
  "maxResultsPerSearch": 20,
  "country": "us",
  "language": "en",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

Steam games with price, discount, genres, Metacritic score and chart rank.

# 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("glitchbound/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("glitchbound/steam-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 '{
  "searchTerms": [
    "roguelike"
  ]
}' |
apify call glitchbound/steam-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ANCl4ts8dO2mg2Fb7/builds/xAkBAHR4R6OGXPaOJ/openapi.json