# Fast Steam Price Scraper - Regional Price Comparison by Country (`automia-admin/steam-price-scraper`) Actor

Compare Steam prices for the same game across country storefronts: US, DE, BR, AR, TR, JP and more. Scrape current specials, top sellers, new releases, a keyword search or your own app ID list. Discount percent, currency and price in cents per region. No API key.

- **URL**: https://apify.com/automia-admin/steam-price-scraper.md
- **Developed by:** [Andrés Santiso](https://apify.com/automia-admin) (community)
- **Categories:** Games, E-commerce, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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 Price Scraper - Regional Prices & Discounts

Prices the **same game across several Steam storefronts** in one run. Most Steam
Actors give you one price from one country; this one gives you the price table.

Pure HTTP against Steam's own public store endpoints. No browser, no proxy, no
API key, no login.

### What you get

Pick where the list of games comes from:

| Mode | What it lists |
|---|---|
| **Current specials** | the games Steam is discounting right now |
| **Top sellers** | Steam's current top-seller feed |
| **New releases** | Steam's new-release feed |
| **Keyword search** | the Steam store search, one query at a time |
| **Specific app IDs** | exactly the games you name |

Then every game is priced on each storefront you list (`US`, `DE`, `BR`, `AR`,
`TR`, `JP`, ... up to 10).

### Output

One dataset item per game:

```json
{
  "appId": 292030,
  "name": "The Witcher 3: Wild Hunt",
  "type": "game",
  "isFree": false,
  "releaseDate": "18 May, 2015",
  "developers": ["CD PROJEKT RED"],
  "publishers": ["CD PROJEKT RED"],
  "genres": ["RPG"],
  "metacriticScore": 93,
  "storeUrl": "https://store.steampowered.com/app/292030/",
  "prices": [
    { "country": "US", "currency": "USD", "initialCents": 3999, "finalCents": 799,
      "discountPercent": 80, "initialFormatted": "$39.99", "finalFormatted": "$7.99" },
    { "country": "DE", "currency": "EUR", "initialCents": 2999, "finalCents": 599,
      "discountPercent": 80, "initialFormatted": "29,99€", "finalFormatted": "5,99€" },
    { "country": "BR", "currency": "BRL", "initialCents": 12999, "finalCents": 2599,
      "discountPercent": 80, "initialFormatted": "R$ 129,99", "finalFormatted": "R$ 25,99" }
  ],
  "onSale": true,
  "maxDiscountPercent": 80,
  "regionsChecked": 3,
  "regionsWithPrice": 3,
  "lowestByCurrency": {
    "USD": { "country": "US", "finalCents": 799, "finalFormatted": "$7.99" },
    "EUR": { "country": "DE", "finalCents": 599, "finalFormatted": "5,99€" },
    "BRL": { "country": "BR", "finalCents": 2599, "finalFormatted": "R$ 25,99" }
  },
  "source": "specials",
  "scrapedAt": "2026-07-31T12:00:00+00:00"
}
```

#### Why `lowestByCurrency` and not one "cheapest country"

Steam bills different storefronts in different currencies. Converting them into
a single number would mean picking an exchange rate and calling the result a
fact, so this Actor does not do it. `lowestByCurrency` compares only prices that
are quoted **in the same currency** — which is exactly where the interesting
answer lives, because several storefronts (US, AR, TR, ...) are billed in USD.

Bring your own FX rate if you want a cross-currency ranking; every price is also
returned as an integer in cents, so the arithmetic is yours to do.

### Speed and politeness

Valve throttles bursty clients, and a throttled run returns nothing at all. This
Actor therefore sends **one request per second by default** (configurable from
250 ms to 5 s). Budget roughly `1 + games × storefronts` seconds per run.

### Pricing

Pay per event:

| Event | What triggers it |
|---|---|
| Actor start | once per run (one per GB of memory) |
| **Game** | one per game returned |
| Extra storefront price | one per **additional** storefront that actually returned a price |

The first storefront's price is included in the game charge. A storefront that
returns no price for a game — regional restriction, unreleased title — is **not**
charged. A run that finds nothing pushes nothing and charges nothing.

### Notes

- `releaseDate` is Steam's own display string, in the storefront's format; it is
  not normalised to ISO, because Steam does not always give a real date.
- Free-to-play titles have no `price_overview` and come back with an empty
  `prices` array and `isFree: true`.
- Keyword search returns about 10 results per term; add more terms for more games.

# Actor input Schema

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

Where the list of games comes from. "Current specials", "Top sellers" and "New releases" read Steam's own front-page feeds for the first storefront below. "Keyword search" searches the Steam store. "Specific app IDs" checks exactly the games you list.

## `countries` (type: `array`):

Two-letter country codes of the Steam storefronts to price, e.g. US, DE, BR, AR, TR, JP. The first one is also the storefront used to build the list of games. Up to 10 storefronts; each extra storefront costs one request per game.

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

Game names, franchises or keywords. Each term is searched separately and the results are merged and de-duplicated.

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

Numeric Steam app IDs, one per line. The app ID is the number in the store URL, e.g. 292030 in store.steampowered.com/app/292030.

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

How many games to price. Steam's front-page feeds return a few dozen entries and the search API returns up to 10 per term, so this is an upper bound, not a guarantee.

## `onlyDiscounted` (type: `boolean`):

Off by default. When enabled, a game is dropped unless at least one of the storefronts shows a discount. Dropped games are not returned and not charged.

## `politeDelayMs` (type: `integer`):

Milliseconds between requests to Steam. The default of 1000 ms (one request per second) is deliberately conservative: Valve throttles bursty clients, and a throttled run returns nothing. Lower it only if you know what you are doing.

## Actor input object example

```json
{
  "mode": "specials",
  "countries": [
    "us",
    "de",
    "br"
  ],
  "searchTerms": [
    "hollow knight"
  ],
  "appIds": [
    "292030",
    "1174180"
  ],
  "maxItems": 20,
  "onlyDiscounted": false,
  "politeDelayMs": 1000
}
```

# Actor output Schema

## `results` (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 = {
    "countries": [
        "us",
        "de",
        "br"
    ],
    "searchTerms": [
        "hollow knight"
    ],
    "appIds": [
        "292030",
        "1174180"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("automia-admin/steam-price-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 = {
    "countries": [
        "us",
        "de",
        "br",
    ],
    "searchTerms": ["hollow knight"],
    "appIds": [
        "292030",
        "1174180",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("automia-admin/steam-price-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 '{
  "countries": [
    "us",
    "de",
    "br"
  ],
  "searchTerms": [
    "hollow knight"
  ],
  "appIds": [
    "292030",
    "1174180"
  ]
}' |
apify call automia-admin/steam-price-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,automia-admin/steam-price-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/oZS01OnWMYtWi7EbG/builds/CjdTvbM44LYcbPifA/openapi.json