# Steam Reviews Scraper (`smorgi_apps/steam-reviews-scraper`) Actor

- **URL**: https://apify.com/smorgi\_apps/steam-reviews-scraper.md
- **Developed by:** [Smorgi Apps](https://apify.com/smorgi_apps) (community)
- **Categories:** Business, Automation, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 steam reviews

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/platform/actors/running/actors-in-store#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

## Steam Reviews Scraper — Pay Per Result

Scrape **Steam user reviews** through the public store JSON API (`store.steampowered.com/appreviews`). Paste app ids — multi-app batch with cursor pagination in one run.

**Store search keywords:** Steam reviews scraper · Steam app reviews · CS2 reviews · game review API · store.steampowered.com

***

### Why this Actor

| Need | What you get |
|------|----------------|
| Many games at once | Batch app ids in one run |
| Clean structured reviews | Text, language, votes, timestamps, profile URL |
| Failures that shouldn’t bill | 404 / empty apps / bad ids → **not charged** |
| Low cost | HTTP-only (no browser); PPE priced from measured unit economics |

Public store API only. No Steam login required.

***

### Input

```json
{
  "appIds": [730],
  "language": "all",
  "filter": "recent",
  "maxItemsPerApp": 100
}
```

Example app id **730** = Counter-Strike 2.

Filter options: `recent`, `updated`, `all`.

Language: `all` (default) or a Steam language code like `english`.

***

### Output fields

| Field | Description |
|-------|-------------|
| `appId` | Steam app id |
| `recommendationId` | Unique review id |
| `authorSteamId` | Reviewer's Steam id |
| `language` | Review language code |
| `review` | Review text |
| `timestampCreated` | Unix timestamp |
| `votedUp` | Recommended (true) or not recommended (false) |
| `votesUp` / `votesFunny` | Community vote counts |
| `weightedVoteScore` | Steam weighted helpfulness score |
| `commentCount` | Number of comments |
| `url` | Link to the review on Steam Community |
| `scrapedAt` | ISO timestamp of this run |

***

### Pricing

Pay-per-event for each **delivered** review row.

- Empty apps, 404 ids, and parse failures → **not charged**

**~$0.50 / 1,000 reviews** on the Store pricing tab (HTTP-only; empty apps free).

***

### Limitations (honest)

- Public store review API only — not private/dev data
- Very large review counts require pagination; respect `requestDelayMs`
- Review text is whatever Steam returns; language detection is Steam’s, not ours
- Some apps may have reviews disabled or restricted

***

Issues / feature requests: use the Actor **Issues** tab.

# Actor input Schema

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

Numeric Steam app ids (e.g. 730 for Counter-Strike 2). Multi-app batch in one run.

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

Review language filter. Use "all" (default) for every language, or a Steam language code like "english".

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

Steam review sort/filter: recent, updated, or all.

## `maxItemsPerApp` (type: `integer`):

Cap reviews per app after pagination.

## `requestDelayMs` (type: `integer`):

Throttle between paginated API calls per app.

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

Optional. Steam store API usually works without proxies.

## Actor input object example

```json
{
  "appIds": [
    730
  ],
  "language": "all",
  "filter": "recent",
  "maxItemsPerApp": 100,
  "requestDelayMs": 500,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `reviews` (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
    ],
    "language": "all",
    "filter": "recent",
    "maxItemsPerApp": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("smorgi_apps/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],
    "language": "all",
    "filter": "recent",
    "maxItemsPerApp": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("smorgi_apps/steam-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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
  ],
  "language": "all",
  "filter": "recent",
  "maxItemsPerApp": 100
}' |
apify call smorgi_apps/steam-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=smorgi_apps/steam-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/m4bu3fPCvbUl4d9Sf/builds/QdcHaNxTU1faKhQrS/openapi.json