# Steam Games & Reviews Scraper (`maged120/steam-store-scraper`) Actor

Scrape Steam store games by keyword, top sellers or app links: prices, discounts, release dates, genres, developers, review scores, developer website and support email, plus individual reviews.

- **URL**: https://apify.com/maged120/steam-store-scraper.md
- **Developed by:** [Maged](https://apify.com/maged120) (community)
- **Categories:** E-commerce, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $6.00 / 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

**Scrape Steam games and reviews.** Search the Steam store by keyword, pull the current top sellers, or paste game links. You get prices and discounts, release dates, genres, developers and publishers, **review scores with positive percentages**, Metacritic score, the **developer's website and support email**, and optionally individual reviews with playtime.

### What does Steam Games & Reviews Scraper do?

Steam Games & Reviews Scraper collects game data from the [Steam store](https://store.steampowered.com/). Each game becomes **one clean row** with store, pricing, review and contact data. Turn on reviews to also get one row per player review, ready for sentiment analysis.

It runs on the Apify platform, so you also get API access, scheduled runs, integrations (Google Sheets, Slack, Zapier, Make, webhooks) and run monitoring.

### Why use Steam Games & Reviews Scraper?

- **Game market research**: compare genres, prices, release timing and review scores across thousands of games.
- **Publisher and investor scouting**: find well-reviewed indie games and reach their developers through the website and support email.
- **Price and discount tracking**: schedule runs to watch sales and price changes in any region.
- **Player sentiment**: collect reviews with playtime and helpful votes for analysis or AI summaries.
- **Competitor tracking**: monitor rival games' review counts and scores over time.

### How to scrape Steam games

1. Open the **Input** tab.
2. Add **keywords** (`roguelike`), **game links** or **app IDs**, or `TOPSELLERS`.
3. Choose a **sort order**, **store country** and, optionally, **reviews per game**.
4. Click **Start**, then download the results as CSV, Excel or JSON.

### Input

| Field | Description |
|---|---|
| `searches` | Keywords, Steam game links, app IDs, or `TOPSELLERS`. |
| `sortBy` | Relevance, user reviews, release date, price or name. |
| `maxGamesPerSearch` | Default 50 per keyword. |
| `country` | Store region for prices. |
| `reviewsPerGame` | Individual reviews per game (0 = summary only). |
| `reviewLanguage` / `reviewType` | Filter collected reviews. |

```json
{
    "searches": ["roguelike", "city builder", "TOPSELLERS", "https://store.steampowered.com/app/1145360/Hades/"],
    "sortBy": "reviews",
    "maxGamesPerSearch": 100,
    "country": "us",
    "reviewsPerGame": 50
}
```

### Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

**Game**

```json
{
    "entityType": "game",
    "appId": 1145360,
    "name": "Hades",
    "storeUrl": "https://store.steampowered.com/app/1145360/",
    "price": 6.24,
    "originalPrice": 24.99,
    "discountPercent": 75,
    "currency": "USD",
    "releaseDate": "Sep 17, 2020",
    "developers": ["Supergiant Games"],
    "publishers": ["Supergiant Games"],
    "genres": ["Action", "Indie", "RPG"],
    "platforms": ["Windows", "Mac"],
    "metacritic": 93,
    "reviewScore": "Overwhelmingly Positive",
    "reviewsTotal": 309044,
    "positivePercent": 98.0,
    "achievements": 49,
    "website": "http://www.supergiantgames.com",
    "supportEmail": "support@supergiantgames.com",
    "supportUrl": "https://www.supergiantgames.com/contact/"
}
```

**Review**

```json
{
    "entityType": "review",
    "gameName": "Hades",
    "recommended": false,
    "review": "Not my cup of tea. Too much happening on screen...",
    "language": "english",
    "playtimeHours": 8.9,
    "helpfulVotes": 0,
    "postedAt": "2026-10-01T00:12:44+00:00"
}
```

#### Data fields

| Row type | Main fields |
|---|---|
| Game | name, storeUrl, shortDescription, price, originalPrice, discountPercent, currency, isFree, releaseDate, developers, publishers, genres, categories, platforms, metacritic, achievements, reviewScore, reviewsTotal, reviewsPositive, reviewsNegative, positivePercent, website, supportEmail, supportUrl, headerImage |
| Review | recommended, review text, language, playtime (total and at review), helpful and funny votes, comments, early access, posted date |

#### Dataset views

**Games**, **Developers & contacts** and **Reviews**.

### How many results will I get?

One row per game (up to `maxGamesPerSearch` per keyword), plus `reviewsPerGame` review rows per game if enabled.

### Tips

- **Find hidden gems**: sort by user reviews and filter on `positivePercent` ≥ 90 with a low `reviewsTotal`.
- **Sales tracking**: schedule daily runs and compare `price` and `discountPercent`.
- **Developer outreach**: export the "Developers & contacts" view.

### FAQ

**Is this data public?**
Yes. Everything comes from public Steam store pages and public reviews. Reviewer identities are not included.

**Something missing or broken?**
Open an issue in the **Issues** tab and we'll look at it quickly. Need a custom version? Get in touch through the same tab.

***

⭐ **Found this Actor useful?** A quick review on the Store helps other users find it and keeps it maintained.

### Related tools

- [Amazon Reviews Scraper – ratings, review text and verified buyers in bulk](https://apify.com/maged120/amazon-reviews-scraper)

# Actor input Schema

## `searches` (type: `array`):

One per line: a keyword (roguelike, city builder), a Steam store link (https://store.steampowered.com/app/1145360/Hades/), an app ID (1145360), or TOPSELLERS for the current top sellers.

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

Order of keyword search results.

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

How many games to collect for each keyword.

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

Which store region's prices to return.

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

Also collect up to this many individual reviews for each game (one row per review). 0 = only the review summary.

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

Language of collected reviews.

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

Which reviews to collect.

## Actor input object example

```json
{
  "searches": [
    "roguelike",
    "https://store.steampowered.com/app/1145360/Hades/"
  ],
  "sortBy": "relevance",
  "maxGamesPerSearch": 50,
  "country": "us",
  "reviewsPerGame": 0,
  "reviewLanguage": "english",
  "reviewType": "all"
}
```

# Actor output Schema

## `dataset` (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 = {
    "searches": [
        "roguelike",
        "https://store.steampowered.com/app/1145360/Hades/"
    ],
    "maxGamesPerSearch": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("maged120/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 = {
    "searches": [
        "roguelike",
        "https://store.steampowered.com/app/1145360/Hades/",
    ],
    "maxGamesPerSearch": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("maged120/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 '{
  "searches": [
    "roguelike",
    "https://store.steampowered.com/app/1145360/Hades/"
  ],
  "maxGamesPerSearch": 50
}' |
apify call maged120/steam-store-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,maged120/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/D2O2pfqgMXURf46N8/builds/OfTtQ4NACUCsha6N0/openapi.json