# Steam Reviews Scraper: Game Reviews API (`best_apis/steam-reviews-scraper`) Actor

Scrape Steam store reviews and optional app details via public Steam JSON APIs. Filter by language, recent/updated/all, positive/negative. No login. $0.80 per 1,000 reviews.

- **URL**: https://apify.com/best_apis/steam-reviews-scraper.md
- **Developed by:** [A Q](https://apify.com/best_apis) (community)
- **Categories:** AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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 Reviews Scraper: Game Reviews API

**Steam Reviews Scraper** pulls public **Steam store reviews** and optional **app metadata** through Steam's official JSON endpoints — no login, no browser. Filter by language, recent/updated/helpful, positive/negative and purchase type. **$0.80 per 1,000 reviews** (cheaper than typical $1/1k competitors). Failed or empty fetches are free.

### What can this Steam reviews scraper do?

- 🎮 **Any Steam app** by ID or store URL (e.g. `730`, `https://store.steampowered.com/app/570/`).
- 📝 **Full review text** plus votes, playtime at review, early-access flag, Steam purchase flag and author SteamID (public).
- 🏷️ **Optional app details**: name, genres, developers, publishers, price, Metacritic, release date.
- 🌍 **Language and sentiment filters**: english/all/…, positive/negative, Steam vs non-Steam purchase.
- ⚡ **Pagination** up to your `maxReviewsPerApp` with hard stop on max cost per run.
- 🤖 Flat input that works with Zapier, Make, n8n and the **Apify MCP** server.

### Why scrape Steam reviews?

- Sentiment analysis and launch monitoring for games and DLC.
- Competitor research for studios, publishers and market analysts.
- Training data for game-rec and review-moderation models.
- Content and influencer research around popular titles.

### How to scrape Steam reviews

1. Add one or more **Steam app IDs or store URLs**.
2. Set **Max reviews per app** (keep small for Try it).
3. Pick **language**, **filter**, **review type** and whether to **include app details**.
4. Click **Start** or call the API.

### Input

```json
{
  "appIds": ["730"],
  "maxReviewsPerApp": 5,
  "language": "english",
  "filter": "recent",
  "reviewType": "all",
  "purchaseType": "all",
  "includeAppDetails": true,
  "proxyConfiguration": { "useApifyProxy": true }
}
```

Empty input runs a safe demo: Counter-Strike 2 (`730`), 5 recent English reviews + app details.

### Output example

```json
{
  "type": "review",
  "reviewId": "1823456789",
  "appId": "730",
  "appName": "Counter-Strike 2",
  "author": { "steamid": "76561198000000000", "playtimeAtReview": 1200 },
  "playtimeForever": 5000,
  "playtimeAtReview": 1200,
  "votedUp": true,
  "votesUp": 12,
  "votesFunny": 1,
  "weightedVoteScore": 0.72,
  "commentCount": 0,
  "steamPurchase": true,
  "receivedForFree": false,
  "writtenDuringEarlyAccess": false,
  "timestampCreated": "2026-10-12T18:22:01.000Z",
  "timestampUpdated": "2026-10-12T18:22:01.000Z",
  "review": "Great game, still improving.",
  "language": "english",
  "url": "https://steamcommunity.com/profiles/76561198000000000/recommended/730/",
  "scrapedAt": "2026-10-13T05:00:00.000Z"
}
```

App-details rows use `"type": "app-details"` and are charged separately.

### How much does it cost?

| | This Actor | Typical Steam PPR scrapers |
|---|---|---|
| Per 1,000 reviews | **$0.80** | ~$1.00 |
| App details row | $0.002 | often bundled / higher |
| Failed or empty apps | **Free** | often charged |
| Actor start | $0.005 | n/a |

Examples: 100 reviews ≈ $0.09, 10,000 reviews ≈ $8.05. Set a **maximum cost per run** and the Actor stops cleanly.

### How to use the API (Python, JavaScript, cURL)

Every run is available through the [Apify API](https://docs.apify.com/api/v2). Get your API token in **Apify Console → Settings → API & Integrations**.

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("best_apis/steam-reviews-scraper").call(run_input={"appIds": ["730"], "maxReviewsPerApp": 50, "includeAppDetails": True})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

#### JavaScript / Node.js

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

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('best_apis/steam-reviews-scraper').call({"appIds": ["730"], "maxReviewsPerApp": 50, "includeAppDetails": true});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

#### cURL (run and get reviews in one request)

```bash
curl -X POST "https://api.apify.com/v2/acts/best_apis~steam-reviews-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"appIds": ["730"], "maxReviewsPerApp": 50, "includeAppDetails": true}'
```

#### Integrations

Connect results to **Google Sheets, Slack, email, Zapier, Make, n8n, Airbyte, webhooks** or AI agents through the **Apify MCP server**. Use **Schedules** in Apify Console to run it hourly, daily or weekly. Export any dataset as **JSON, CSV, Excel, XML or HTML**.

### FAQ

**Do I need a Steam account?** No. This Actor uses Steam's public store JSON APIs only.

**Is a residential proxy required?** No. The default Apify datacenter proxy is enough.

**Why 0 reviews?** The app may have no reviews in that language/filter, or the ID is invalid. Empty apps push a free status row; if every app is empty the run fails loudly so Try-it never looks broken by accident.

**Is it legal?** Steam store reviews and app details are publicly available. This Actor does not log in or bypass access controls. You are responsible for how you use the data (GDPR/CCPA for any personal fields such as public SteamIDs). If unsure, ask a lawyer. See Apify's [guide to the legality of web scraping](https://blog.apify.com/is-web-scraping-legal/).

### Related Actors

- [App Store & Google Play Reviews Scraper](https://apify.com/best_apis/app-store-play-reviews): reviews, ratings and app details from both app stores
- [YouTube Transcript Scraper](https://apify.com/best_apis/youtube-transcript-scraper): bulk YouTube transcripts, subtitles and captions
- [Google Trends API](https://apify.com/best_apis/google-trends-api): interest over time, regions, related queries and Trending Now
- [US Retail Price Scraper](https://apify.com/best_apis/us-retail-price-scraper): prices and stock from Walmart, Target, Best Buy, Home Depot and Lowe's
- [Government Tenders Scraper](https://apify.com/best_apis/government-tenders-scraper): UK, EU TED and SAM.gov tenders with daily alerts
- [Federal Register API](https://apify.com/best_apis/federal-register-api): US Federal Register documents, rules and notices

Questions, bugs or feature requests? Open an issue on the **Issues** tab. We usually reply within 24 hours.

# Actor input Schema

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

Steam app IDs (e.g. 730) or store URLs like https://store.steampowered.com/app/730/. Empty → demo Counter-Strike 2.

## `maxReviewsPerApp` (type: `integer`):

Hard cap of reviews to fetch per app (paginated 100 at a time).

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

Steam language filter. Use "all" for every language.

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

Steam's filter parameter: recent, updated, or all (helpful).

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

Positive, negative, or all Steam recommendation types.

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

Limit to Steam purchases, non-Steam keys, or all.

## `includeAppDetails` (type: `boolean`):

Fetch store app metadata (name, type, genres, price…) and push a separate app-details row plus embed appName on each review.

## `maxConcurrency` (type: `integer`):

How many apps to scrape at once.

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

Apify datacenter proxy is enough for Steam's public JSON APIs.

## Actor input object example

```json
{
  "appIds": [
    "730",
    "https://store.steampowered.com/app/570/"
  ],
  "maxReviewsPerApp": 5,
  "language": "english",
  "filter": "recent",
  "reviewType": "all",
  "purchaseType": "all",
  "includeAppDetails": true,
  "maxConcurrency": 3,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

No description

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

No description

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

No description

## `stats` (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 = {
    "appIds": [
        "730"
    ],
    "maxReviewsPerApp": 5,
    "includeAppDetails": true,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("best_apis/steam-reviews-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 = {
    "appIds": ["730"],
    "maxReviewsPerApp": 5,
    "includeAppDetails": True,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("best_apis/steam-reviews-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 '{
  "appIds": [
    "730"
  ],
  "maxReviewsPerApp": 5,
  "includeAppDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call best_apis/steam-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,best_apis/steam-reviews-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/f1OYPCMqpsjDieVnb/builds/DBKeFv82I3tNUOEWe/openapi.json