# Steam Game & Review Scraper — Prices, Details & Reviews (`haketa/steam-game-scraper`) Actor

Scrape Steam games: title, price & discount, genres, developer, publisher, release date, Metacritic, platforms, achievements, screenshots plus review score and reviews. Search or by app ID, any country. For price tracking, market and review research. Not affiliated with Steam or Valve.

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

## Pricing

from $2.50 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Game & Review Scraper — Prices, Details & Reviews

> **Scrape Steam games at scale: title, price & discount, genres, developer/publisher, release date, Metacritic score, platforms, achievements, screenshots — plus the review score, rating label and individual review texts.** Search by keyword or pass app IDs, in any country/currency. Clean JSON/CSV/Excel in seconds. Built for price tracking, market research and review/sentiment analysis.

[![Steam](https://img.shields.io/badge/Steam-Store%20Data-1b2838)]()
[![Prices + Reviews](https://img.shields.io/badge/Prices%20%2B%20Reviews-2da44e)]()
[![Market Research](https://img.shields.io/badge/Price%20Tracking%20%2F%20Research-8250df)]()
[![Export](https://img.shields.io/badge/Export-JSON%20%2F%20CSV%20%2F%20Excel-fb8500)]()

***

### What This Actor Does

Search Steam or pass app IDs and get a clean record per game:

- **Identity** — name, app ID, type, store URL, header image, screenshots
- **Pricing** — current price, pre-discount price, **discount %**, currency and a formatted price (in the country you choose)
- **Details** — developers, publishers, genres, store categories, release date, platforms (Windows/Mac/Linux), required age, DLC count, achievements, supported languages, website
- **Scores** — **Metacritic** score and total recommendations
- **Reviews** — review score label (e.g. *Very Positive*), total/positive/negative counts, positive %, and optional **individual review texts** (playtime, votes, date)

Works across many games and countries in one run.

***

### Why Use This

- **Track prices & discounts.** Snapshot any set of games with current and pre-discount prices in your currency — perfect for sale monitoring and wishlists.
- **Analyse reviews & sentiment.** Pull review scores and real review texts for competitor and quality analysis.
- **Research the market.** Compare genres, developers, release dates, Metacritic and review counts across hundreds of games.
- **Clean and fast.** Reads Steam's public store endpoints — no key, no login, no browser.

***

### Quick Start

#### Run it in the console (no code)

1. Add **search terms** (e.g. `roguelike`, `racing`) and/or specific **app IDs**.
2. Choose a **country** for pricing, toggle **review summary**, set **review texts per game** if you want them.
3. Set **Max games**, click **Start**, export as **JSON, CSV, Excel or HTML**.

#### Track prices & reviews (Python)

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {"searchTerms": ["roguelike"], "country": "us", "maxItems": 500}

run = client.actor("YOUR_USERNAME/steam-game-scraper").call(run_input=run_input)

for g in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(g["name"], "·", g["priceFormatted"], f"(-{g['discountPercent']}%)",
          "·", g["reviewScoreDesc"], f"({g['totalReviews']})")
```

#### Pull review texts for specific games (Python)

```python
run = client.actor("YOUR_USERNAME/steam-game-scraper").call(run_input={
    "appIds": ["1091500", "730"], "maxReviewsPerGame": 50, "reviewFilter": "recent",
})
```

***

### Input Parameters

| Field | Type | Description |
|---|---|---|
| `searchTerms` | array | Keywords to find games. Each is searched and paginated. |
| `appIds` | array | Specific Steam app IDs to scrape directly. |
| `includeReviews` | boolean | Attach review score + rating label + totals (default on). |
| `maxReviewsPerGame` | integer | How many review texts to fetch per game (`0` = summary only). |
| `reviewFilter` | string | `recent`, `updated` or `all` (most helpful) — order for review texts. |
| `country` | string | Two-letter country code for pricing/currency (e.g. `us`, `gb`, `de`, `tr`). |
| `language` | string | Content language for descriptions. |
| `maxItems` | integer | Max games across all searches. `0` = no limit. |
| `maxPagesPerSearch` | integer | Pagination cap per search term (50 games per page). |
| `proxyConfiguration` | object | Apify Proxy. Datacenter is enough (public endpoints). |

***

### Output

Each game is one record:

```json
{
  "appId": 1091500,
  "name": "Cyberpunk 2077",
  "url": "https://store.steampowered.com/app/1091500",
  "isFree": false,
  "price": 59.99, "priceInitial": 59.99, "discountPercent": 0,
  "currency": "USD", "priceFormatted": "$59.99",
  "releaseDate": "Dec 9, 2020", "comingSoon": false,
  "developers": ["CD PROJEKT RED"], "publishers": ["CD PROJEKT RED"],
  "genres": ["RPG"], "categories": ["Single-player"],
  "metacriticScore": 86, "recommendationsTotal": 700000,
  "platformWindows": true, "platformMac": false, "platformLinux": false,
  "reviewScoreDesc": "Very Positive", "totalReviews": 982835,
  "totalPositive": 880000, "positivePercent": 90,
  "reviews": [{"votedUp": true, "playtimeHours": 109.5, "text": "…", "createdAt": "2026-01-02T…"}]
}
```

**About coverage:** name, URL, genres, developers, release date and review score are present for essentially every game. **Price is empty for unreleased games** (`comingSoon: true` — they have no price yet). **Metacritic is only present for titles Metacritic has rated** (mostly larger releases), so many indie games legitimately have none.

***

### Use Cases

#### 1. Price & discount tracking

Monitor prices, pre-discount prices and discount % for any set of games in your currency — on a schedule.

#### 2. Review & sentiment analysis

Pull review scores and real review texts to analyse reception, quality and competitor games.

#### 3. Market & catalog research

Compare genres, developers, release cadence, Metacritic and review counts across hundreds of titles.

#### 4. Wishlist & deal monitoring

Watch specific app IDs and get notified of discounts and rating changes.

***

### Tips

- **`country`** changes pricing/currency — compare the same game across regions.
- **`discountPercent`** + **`priceInitial`** make sale tracking trivial.
- **`maxReviewsPerGame`** controls how many review texts you pull (keep it `0` for fast summary-only runs).
- **`appIds`** is the most precise input when you already know the games.
- **Schedule it** with Apify Schedules for daily price/review snapshots.

***

### Frequently Asked Questions

**Do I need an account or key?**
No. Steam's store endpoints are public — no login, key or anti-bot.

**Can I get prices in my currency?**
Yes — set `country` (e.g. `gb`, `de`, `tr`) and prices come back in that region's currency.

**Why do some games have no price?**
Unreleased games (`comingSoon: true`) have no price yet. Free games return a price of `0`.

**Can I get full review text, not just the score?**
Yes — set `maxReviewsPerGame` above 0 to fetch individual reviews with playtime, votes and dates.

**What export formats are supported?**
JSON, CSV, Excel, HTML, or via API — plus Google Sheets, webhooks, Make and Zapier.

***

### Legal & Responsible Use

This Actor is an independent tool and is **not affiliated with, endorsed by, or sponsored by Valve Corporation or Steam.** All trademarks are the property of their respective owners. It reads only public store data. Use the data responsibly and in line with applicable terms and laws.

# Actor input Schema

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

Keywords to find games (e.g. "roguelike", "zombie", "racing"). Each is searched and paginated.

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

Specific Steam app IDs to scrape directly (e.g. 730, 1091500).

## `includeReviews` (type: `boolean`):

Attach the review score, rating label and positive/negative totals to each game.

## `maxReviewsPerGame` (type: `integer`):

How many individual review texts to fetch per game (0 = summary only).

## `reviewFilter` (type: `string`):

Which reviews to fetch when getting texts.

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

Two-letter country code for pricing/currency (e.g. us, gb, de, tr).

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

Content language for descriptions (e.g. english, turkish).

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

Maximum games across all searches. 0 = no limit.

## `maxPagesPerSearch` (type: `integer`):

Pagination cap per search term (50 games per page).

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

Apify Proxy. Steam endpoints are public — datacenter is enough and enabled by default.

## Actor input object example

```json
{
  "searchTerms": [
    "roguelike"
  ],
  "includeReviews": true,
  "maxReviewsPerGame": 0,
  "reviewFilter": "recent",
  "country": "us",
  "language": "english",
  "maxItems": 100,
  "maxPagesPerSearch": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `appId` (type: `string`):

Steam app ID

## `name` (type: `string`):

Game title

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

game/dlc/demo

## `url` (type: `string`):

Store page URL

## `isFree` (type: `string`):

Free to play

## `price` (type: `string`):

Final price

## `priceInitial` (type: `string`):

Pre-discount price

## `discountPercent` (type: `string`):

Discount percent

## `currency` (type: `string`):

Currency

## `priceFormatted` (type: `string`):

Formatted price

## `releaseDate` (type: `string`):

Release date

## `comingSoon` (type: `string`):

Unreleased

## `developers` (type: `string`):

Developers

## `publishers` (type: `string`):

Publishers

## `genres` (type: `string`):

Genres

## `categories` (type: `string`):

Store categories

## `metacriticScore` (type: `string`):

Metacritic score

## `recommendationsTotal` (type: `string`):

Total recommendations

## `achievementsTotal` (type: `string`):

Achievement count

## `dlcCount` (type: `string`):

Number of DLC

## `platformWindows` (type: `string`):

Windows support

## `platformMac` (type: `string`):

Mac support

## `platformLinux` (type: `string`):

Linux support

## `shortDescription` (type: `string`):

Short description

## `supportedLanguages` (type: `string`):

Supported languages

## `website` (type: `string`):

Official website

## `headerImage` (type: `string`):

Header image URL

## `screenshots` (type: `string`):

Screenshot URLs

## `reviewScoreDesc` (type: `string`):

e.g. Very Positive

## `totalReviews` (type: `string`):

Total reviews

## `totalPositive` (type: `string`):

Positive reviews

## `positivePercent` (type: `string`):

Positive percent

## `reviews` (type: `string`):

Review texts

## `scrapedAt` (type: `string`):

ISO timestamp

# 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"
    ],
    "maxItems": 100,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("haketa/steam-game-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"],
    "maxItems": 100,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("haketa/steam-game-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"
  ],
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call haketa/steam-game-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,haketa/steam-game-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/TGaWRQiz92qs1Q0cJ/builds/TWyaCfiMXOduK7fbx/openapi.json