# Steam Reviews Actor (`getdataforme/steam-reviews-actor`) Actor

Scrape Steam user reviews from any game page—capture reviewer username, profile link, avatar, total reviews, recommendation (Recommended/Not Recommended), playtime, date posted, and full review text. Simple JSON input with URLs and item limit; outputs ready for analysis.

- **URL**: https://apify.com/getdataforme/steam-reviews-actor.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** Other, Automation
- **Stats:** 6 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$20.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors

## 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

***

## 📦 my-steam\_reviews-actor

Crawl user game reviews from [Steam Store](https://store.steampowered.com) and retrieve structured reviewer data, playtime, ratings, and full text in JSON format—ideal for sentiment analysis, community insights, or data aggregation.

***

### 🌐 What does this actor do?

`my-steam_reviews-actor` navigates to Steam app pages and scrapes user reviews up to a specified limit. For each review it returns:

- Reviewer username and profile link
- Avatar image URL
- Total number of reviews by that user
- Review title (“Recommended”/“Not Recommended”)
- Hours played on record
- Date posted
- Full review text

***

### 📥 Input

Provide a JSON object with:

```json
{
  "item_limit": 35,
  "urls": [
    "https://store.steampowered.com/app/730/CounterStrike_2/"
  ]
}
```

| Field        | Type    | Description                                  |
| ------------ | ------- | -------------------------------------------- |
| `item_limit` | Integer | Maximum number of reviews to scrape per URL. |
| `urls`       | Array   | List of Steam game/app page URLs to crawl.   |

***

### 📤 Output

Returns an array of review objects in this format:

```json
{
  "username": "v24",
  "profile_url": "https://steamcommunity.com/profiles/76561199789639490/",
  "avatar_url": "https://avatars.fastly.steamstatic.com/90505abc9764cc3e674f4f86b79fe8c3f5274593.jpg",
  "num_reviews": "2 reviews",
  "title": "Recommended",
  "hours": "65.3 hrs on record",
  "posted": "9 May",
  "review_text": "i love Counter-Strike. old account got scammed as son as i got Prime :("
}
```

***

### 🧰 Use Cases

- Aggregate player sentiment for game analytics
- Monitor community feedback on new releases
- Build dashboards showing playtime vs. review positivity
- Feed review data to recommendation engines

***

### 🚀 How to run

1. Log in to the [Apify Console](https://console.apify.com).
2. Deploy or locate **my-steam\_reviews-actor**.
3. Enter your JSON input and start the actor.
4. View results in the Console or fetch via Apify API.

***

### ❓ Need help?

For custom output, enterprise support, or to report bugs:

📧 **Email:** <support@getdataforme.com>
🔗 **Contact form:** <https://getdataforme.com/contact/>

> **Subject line:** `my-steam_reviews-actor Support`

***

# Actor input Schema

## `urls` (type: `array`):

A list of URLs of the web pages you want to scrape data from.

## `item_limit` (type: `integer`):

The maximum number of items to scrape from the input URLs. The scraper will stop when this limit is reached.

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

Specifies proxy servers that will be used by the scraper in order to hide its origin.

## Actor input object example

```json
{
  "urls": [
    "https://store.steampowered.com/app/730/CounterStrike_2/"
  ],
  "item_limit": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "urls": [
        "https://store.steampowered.com/app/730/CounterStrike_2/"
    ],
    "item_limit": 10,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/steam-reviews-actor").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 = {
    "urls": ["https://store.steampowered.com/app/730/CounterStrike_2/"],
    "item_limit": 10,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/steam-reviews-actor").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 '{
  "urls": [
    "https://store.steampowered.com/app/730/CounterStrike_2/"
  ],
  "item_limit": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call getdataforme/steam-reviews-actor --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/FlAdicTeLokqMmZ9C/builds/cYyHn7dvbLOpAS7Wz/openapi.json