# Steam Scraper (`automation-lab/steam-scraper`) Actor

Scrape Steam Store games from search results. Extracts prices, discounts, review summaries, positive percentages, review counts, platforms, and release dates. Sort by relevance, reviews, or price. Ideal for game price monitoring and market research. Export to JSON, CSV, or Excel.

- **URL**: https://apify.com/automation-lab/steam-scraper.md
- **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community)
- **Categories:** E-commerce, Other
- **Stats:** 23 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 4.58 out of 5 stars

## Pricing

from $1.20 / 1,000 game scrapeds

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?

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

### What does Steam Scraper do?

Steam Scraper extracts game data from **Steam Store search results**. Search by keyword and get structured data including prices, discounts, user review scores, ratings, platforms, release dates, and thumbnail images. Sort results by relevance, reviews, release date, name, or price.

Use it for **game price monitoring**, **market research**, **game discovery**, **deal tracking**, **competitive analysis**, and **gaming industry analytics**.

### Who is it for

- **Game developers and publishers** monitoring competitor pricing, reviews, and market positioning
- **Deal aggregator sites** tracking Steam discounts and price drops for their audience
- **Market researchers** analyzing gaming industry trends, pricing strategies, and genre popularity
- **Data analysts** building game databases, price trackers, or recommendation engines
- **Gamers and content creators** discovering top-rated games and tracking wishlisted titles

### Use cases

- **Price monitoring** — Track game prices and discounts across Steam. Compare prices over time with scheduled runs.
- **Deal tracking** — Find games on sale with discount percentages and original prices. Monitor seasonal sales.
- **Game discovery** — Search for games by keyword and sort by user reviews to find top-rated titles in any genre.
- **Market research** — Analyze pricing strategies, review distributions, and platform availability across game categories.
- **Competitive analysis** — Research competitors' games, pricing, review scores, and release timelines.
- **Gaming industry analytics** — Build databases of game data for trend analysis, genre popularity, and pricing patterns.

### Why use Steam Scraper?

- **Query attribution** — Every result includes its originating search keyword and rank within that keyword, so multi-query exports are ready to segment and compare.
- **Rich game data** — Every result includes price, discount, review summary, positive percentage, review count, platforms, and release date.
- **Multiple sort options** — Sort by relevance, user reviews, release date, name, or price (ascending/descending).
- **Review insights** — Get Steam's review summary (e.g., "Overwhelmingly Positive") plus exact positive percentage and total review count.
- **Discount detection** — Automatically identifies games on sale with discount percentages and original prices.
- **Platform info** — See which platforms each game supports (Windows, Mac, Linux, Steam Deck, VR).
- **50 games per page** — Efficient pagination with up to 50 results per page.
- **Pay-per-event pricing** — You only pay for games scraped. No monthly subscription.

### What data can you extract?

Each game in the output includes:

| Field | Description |
|-------|-------------|
| `searchQuery` | Exact input keyword that produced the result |
| `searchRank` | Result rank within that keyword, starting at 1 |
| `appId` | Steam application ID |
| `title` | Game title |
| `url` | Direct link to the Steam Store page |
| `releaseDate` | Release date (e.g., "22 Apr, 2025") |
| `reviewSummary` | Review category (e.g., "Very Positive", "Overwhelmingly Positive") |
| `reviewPositivePercent` | Percentage of positive reviews |
| `reviewCount` | Total number of user reviews |
| `price` | Current price (e.g., "$9.99", "Free") |
| `originalPrice` | Original price before discount |
| `discountPercent` | Discount percentage (e.g., "-50%") |
| `isFree` | Whether the game is free to play |
| `platforms` | Supported platforms (Windows, Mac, Linux, Steam Deck, VR) |
| `thumbnail` | Game capsule image URL |
| `scrapedAt` | Timestamp when the data was extracted |

### Output example

```json
{
  "searchQuery": "cyberpunk",
  "searchRank": 1,
  "appId": "1091500",
  "title": "Cyberpunk 2077",
  "url": "https://store.steampowered.com/app/1091500/Cyberpunk_2077/",
  "releaseDate": "10 Dec, 2020",
  "reviewSummary": "Very Positive",
  "reviewPositivePercent": 88,
  "reviewCount": 367343,
  "price": "$29.99",
  "originalPrice": "$59.99",
  "discountPercent": "-50%",
  "isFree": false,
  "platforms": ["Windows"],
  "thumbnail": "https://shared.fastly.steamstatic.com/store_item_assets/steam/apps/1091500/.../capsule_231x87.jpg",
  "scrapedAt": "2026-03-03T02:28:00.000Z"
}
```

### Input parameters

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `searchQueries` | array | - | List of keywords to search on Steam Store. Each keyword runs a separate search. |
| `sort` | string | "relevance" | Sort: `relevance`, `reviews`, `release_date`, `name`, `price_asc`, `price_desc`. |
| `maxResultsPerSearch` | integer | 100 | Maximum number of games to return for each keyword. |
| `maxSearchPages` | integer | 5 | Maximum search result pages per keyword. Each page has ~50 games. |
| `maxRequestRetries` | integer | 3 | Retry attempts for failed requests. |

### How to scrape Steam Store game data

1. Go to [Steam Scraper](https://apify.com/automation-lab/steam-scraper) on Apify Store
2. Enter one or more search keywords in the `searchQueries` field (e.g., `cyberpunk`, `horror`, `roguelike`)
3. Choose a sort order (relevance, reviews, release date, name, or price)
4. Set the maximum number of results per keyword
5. Click **Start** and wait for results
6. Download data as JSON, CSV, or Excel

### How much does it cost to scrape Steam?

Steam Scraper uses **pay-per-event** pricing — you only pay for what you scrape.

| Event | Price |
|-------|-------|
| Actor start | $0.001 per run |
| Game scraped | $0.002 per game |

**Cost examples:**

- 50 games (1 page): **~$0.10**
- 100 games (2 pages): **~$0.20**
- 500 games (10 pages): **~$1.00**

No monthly subscription. Platform costs (compute) are included in the per-event price.

### API usage

#### Node.js

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('automation-lab/steam-scraper').call({
    searchQueries: ['cyberpunk'],
    sort: 'reviews',
    maxResultsPerSearch: 50,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(game => {
    console.log(`${game.reviewSummary} (${game.reviewPositivePercent}%) - ${game.title} - ${game.price}`);
});
```

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')

run = client.actor('automation-lab/steam-scraper').call(run_input={
    'searchQueries': ['cyberpunk'],
    'sort': 'reviews',
    'maxResultsPerSearch': 50,
})

items = client.dataset(run['defaultDatasetId']).list_items().items
for game in items:
    print(f"{game['reviewSummary']} ({game['reviewPositivePercent']}%) - {game['title']} - {game['price']}")
```

### Integrations

Steam Scraper works with all standard Apify integrations:

- **Webhooks** — Get notified when a scraping run finishes.
- **API** — Start runs and fetch results programmatically with REST API or official clients.
- **Scheduling** — Run daily during Steam sales to track price changes and new deals.
- **Storage** — Export as JSON, CSV, or Excel. Push to Google Sheets, Slack, or email.
- **Zapier / Make / n8n** — Connect Steam data to thousands of apps and workflows.

### Tips and best practices

- **Sort by reviews** — Use `sort: "reviews"` to find the highest-rated games in any genre.
- **Track discounts** — Check the `discountPercent` and `originalPrice` fields to identify games on sale.
- **Monitor during sales** — Schedule runs during Steam seasonal sales (Summer, Winter, Halloween) for deal alerts.
- **Free games** — Filter results with `isFree: true` in post-processing to find free-to-play titles.
- **Multiple genres** — Search multiple keywords in one run (e.g., \["horror", "survival", "roguelike"]), then group rows by `searchQuery` and compare their per-query `searchRank`.
- **Platform filtering** — Use the `platforms` field to find games available on Mac, Linux, or VR.

### Use with AI agents via MCP

Steam Scraper is available as a tool for AI assistants via the [Model Context Protocol (MCP)](https://docs.apify.com/platform/integrations/mcp).

#### Setup for Claude Code

```bash
claude mcp add --transport http apify "https://mcp.apify.com/?tools=automation-lab/steam-scraper"
```

#### Setup for Claude Desktop, Cursor, or VS Code

Add this to your MCP config file:

```json
{
    "mcpServers": {
        "apify": {
            "url": "https://mcp.apify.com/?tools=automation-lab/steam-scraper"
        }
    }
}
```

#### Example prompts

- "Search Steam for top-rated indie games"
- "Get game details for these Steam app IDs"
- "Find the best-reviewed roguelike games on Steam with their current prices"

#### cURL

```bash
curl -X POST "https://api.apify.com/v2/acts/automation-lab~steam-scraper/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchQueries": ["roguelike"],
    "sort": "reviews",
    "maxResultsPerSearch": 50
  }'
```

### Legality

Scraping publicly available data is generally legal according to the [US Court of Appeals ruling](https://en.wikipedia.org/wiki/HiQ_Labs_v._LinkedIn) (HiQ Labs v. LinkedIn). This actor only accesses publicly available information and does not require authentication. Always review and comply with the target website's Terms of Service before scraping. For personal data, ensure compliance with GDPR, CCPA, and other applicable privacy regulations.

### FAQ

**Why do prices show in a different currency than expected?**
Steam's search API returns prices based on the region detected from the request IP. Since the scraper runs on Apify's cloud infrastructure (typically in EU/US), prices will reflect that region's currency. There is no way to force a specific currency through the search API.

**Some games have null review data.**
Games with very few or no user reviews will have null values for `reviewSummary`, `reviewPositivePercent`, and `reviewCount`. This is expected for newly released or very niche titles.

### Limitations

- Returns up to 50 games per page, up to 20 pages (1,000 games per keyword).
- Prices are shown in the currency of the Steam region detected from your request (usually EUR or USD).
- Some games without reviews will have empty reviewSummary, null reviewPositivePercent, and null reviewCount.
- Does not scrape individual game detail pages, DLC details, or user reviews text.
- Age-restricted content is included by default (mature content cookie is set automatically).
- Does not support filtering by tags, genres, or price ranges through the input — use keyword search.

### Related scrapers

- [Steam Game Reviews Scraper](https://apify.com/automation-lab/steam-game-reviews-scraper) — Extract user reviews, ratings, and playtime data from Steam games
- [Metacritic Scraper](https://apify.com/automation-lab/metacritic-scraper) — Scrape Metacritic scores and reviews for games, movies, and TV
- [IMDB Scraper](https://apify.com/automation-lab/imdb-scraper) — Extract movie and TV show data from IMDB

# Actor input Schema

## `searchQueries` (type: `array`):

List of keywords to search on Steam Store. Each keyword runs a separate search.

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

How to sort search results.

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

Maximum number of games to return for each keyword.

## `maxSearchPages` (type: `integer`):

Maximum search result pages per keyword. Each page has ~50 games.

## `maxRequestRetries` (type: `integer`):

Number of retry attempts for failed requests.

## Actor input object example

```json
{
  "searchQueries": [
    "cyberpunk"
  ],
  "sort": "relevance",
  "maxResultsPerSearch": 20,
  "maxSearchPages": 1,
  "maxRequestRetries": 3
}
```

# Actor output Schema

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

Dataset rows for games returned by each search query.

# 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 = {
    "searchQueries": [
        "cyberpunk"
    ],
    "sort": "relevance",
    "maxResultsPerSearch": 20,
    "maxSearchPages": 1,
    "maxRequestRetries": 3
};

// Run the Actor and wait for it to finish
const run = await client.actor("automation-lab/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 = {
    "searchQueries": ["cyberpunk"],
    "sort": "relevance",
    "maxResultsPerSearch": 20,
    "maxSearchPages": 1,
    "maxRequestRetries": 3,
}

# Run the Actor and wait for it to finish
run = client.actor("automation-lab/steam-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 '{
  "searchQueries": [
    "cyberpunk"
  ],
  "sort": "relevance",
  "maxResultsPerSearch": 20,
  "maxSearchPages": 1,
  "maxRequestRetries": 3
}' |
apify call automation-lab/steam-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,automation-lab/steam-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/BPhynDzjOF46b7an2/builds/tLyk53vf4nYy6BDdy/openapi.json