# Steam Store Scraper: Games, Prices & Reviews (`launchgulf/steam-store-scraper`) Actor

Search Steam or scrape game pages: price, discount, release date, developers, publishers, genres, platforms, review score, player recommendations and recent reviews.

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

## Pricing

from $2.00 / 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?

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 Store Scraper: Games, Prices & Reviews

Search Steam or scrape game pages and get **price and discount, release date, developers, publishers, genres, tags, platforms, review score, positive percentage, total reviews, Metacritic score, supported languages, website, support email** and optionally the **latest player reviews**.

### Who uses it

- **Game studios and publishers:** research a genre before building, and track competitors' prices, discounts and reviews.
- **Marketing and PR agencies:** find games and studios to pitch, with website and support email.
- **Deal sites and price trackers:** monitor prices and discounts by country.
- **Analysts:** review-count trends as a proxy for sales.

### Input

- **Search terms:** `roguelike`, `city builder`, `cozy farming`.
- **Game links or app IDs:** `https://store.steampowered.com/app/1086940/` or `1086940`.
- **Maximum games per search term**, **Recent reviews per game** (0–100).
- **Store country** (prices and currency) and **Text language**.

### Output

```json
{
  "appId": 1086940,
  "name": "Baldur's Gate 3",
  "price": 59.99,
  "currency": "USD",
  "discountPercent": 0,
  "releaseDate": "Aug 3, 2023",
  "developers": [
    "Larian Studios"
  ],
  "genres": [
    "Adventure",
    "RPG",
    "Strategy"
  ],
  "platforms": [
    "windows",
    "mac"
  ],
  "reviewScore": "Overwhelmingly Positive",
  "totalReviews": 859629,
  "positivePercent": 96.8,
  "metacritic": 96,
  "website": "https://baldursgate3.game",
  "reviews": []
}
```

### Pricing

Pay per game saved. Set a maximum cost per run and the Actor stops cleanly at it.

### Notes

Uses Steam's public store data. Games not sold in the chosen country are skipped and not charged.

# Actor input Schema

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

Search Steam like a player would, for example roguelike, city builder, cozy farming.

## `gameUrls` (type: `array`):

For example https://store.steampowered.com/app/730/ or 730.

## `maxGamesPerSearch` (type: `integer`):

Stop after this many games for each search term.

## `reviewsPerGame` (type: `integer`):

0 for none, up to 100. Review counts and score are always included.

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

Two-letter code, for example us, gb, de, br.

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

Steam language name, for example english, german, spanish.

## Actor input object example

```json
{
  "searchTerms": [
    "roguelike"
  ],
  "maxGamesPerSearch": 25,
  "reviewsPerGame": 0,
  "country": "us",
  "language": "english"
}
```

# 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 = {
    "searchTerms": [
        "roguelike"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("launchgulf/steam-store-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("launchgulf/steam-store-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 '{
  "searchTerms": [
    "roguelike"
  ]
}' |
apify call launchgulf/steam-store-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,launchgulf/steam-store-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/rnllnYJ5bCsqP1iaE/builds/2ifdbK3Oh2fKqIqNK/openapi.json