# Steam Game Reviews Scraper (`apt_marble/steam-game-reviews-scraper`) Actor

Collect real player reviews for any Steam game: text, verdict, hours played, votes and Steam purchaser flag, newest first. No account, no login.

- **URL**: https://apify.com/apt\_marble/steam-game-reviews-scraper.md
- **Developed by:** [Hamza](https://apify.com/apt_marble) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 result scrapeds

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 Game Reviews Scraper

Collect real player reviews for any Steam game: text, verdict, hours played, votes and Steam purchaser flag, newest first. Paste your inputs and each one comes back
complete as a structured row. No account and no login are needed, and reads
are direct and fast — no browser, nothing signed in.

### What you can do with it

- **Hear players in their own words.** Read what reviewers praise and complain about after a patch or launch.
- **Score sentiment at scale.** Push review text into your own sentiment pipeline with hours-played context attached.
- **Watch reception over time.** Re-run on a schedule and track how the recommendation ratio moves.
- **Feed a dashboard or spreadsheet.** Every field is a plain column — export to Excel, Google Sheets, CSV or JSON in one click.

### What you get

One row per result. Abridged real example:

```json
{
  "reviewId": "187000001",
  "appId": "730",
  "gameScoreLabel": "Overwhelmingly Positive",
  "content": "Best tactical shooter ever made. Runs great.",
  "positive": true,
  "date": "2024-07-03T09:46:40.000Z"
}
```

Each row carries a `reviewId` for deduping across runs.

### Input

- `gameUrls` — Steam store links or bare numeric app IDs. Up to 50 games per run.
- `maxReviews` — Upper bound of reviews per game rows kept per run (up to 1000).
- `filter` — Which review set to read.
- `language` — Review language (e.g. all, english, german). Use all for every language.
- `maxConcurrency` — How many items to read at the same time. Higher is faster; lower is gentler on the source.
- `proxyCountry` — Two-letter region code for routing reads (e.g. us, gb, de). Leave as us unless results look regionally wrong.

### Output

Results land in the default dataset, one clean record per row, plus a run
summary in the key-value store (`OUTPUT`) with per-input counts and any
items that could not be read. Export to Excel, Google Sheets, CSV or JSON
in one click.

# Actor input Schema

## `gameUrls` (type: `array`):

Steam store links or bare numeric app IDs. Up to 50 games per run.

## `maxReviews` (type: `integer`):

Upper bound of reviews per game rows kept per run (up to 1000).

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

Which review set to read.

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

Review language (e.g. all, english, german). Use all for every language.

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

How many items to read at the same time. Higher is faster; lower is gentler on the source.

## `proxyCountry` (type: `string`):

Two-letter region code for routing reads (e.g. us, gb, de). Leave as us unless results look regionally wrong.

## Actor input object example

```json
{
  "gameUrls": [
    "https://store.steampowered.com/app/730/CounterStrike_2/"
  ],
  "maxReviews": 20,
  "filter": "recent",
  "language": "all",
  "maxConcurrency": 2,
  "proxyCountry": "us"
}
```

# Actor output Schema

## `results` (type: `string`):

Every row you asked for, as clean records.

## `runSummary` (type: `string`):

Counts per input, including anything that could not be read.

# 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 = {
    "gameUrls": [
        "https://store.steampowered.com/app/730/CounterStrike_2/"
    ],
    "maxReviews": 20,
    "filter": "recent",
    "language": "all",
    "maxConcurrency": 2,
    "proxyCountry": "us"
};

// Run the Actor and wait for it to finish
const run = await client.actor("apt_marble/steam-game-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 = {
    "gameUrls": ["https://store.steampowered.com/app/730/CounterStrike_2/"],
    "maxReviews": 20,
    "filter": "recent",
    "language": "all",
    "maxConcurrency": 2,
    "proxyCountry": "us",
}

# Run the Actor and wait for it to finish
run = client.actor("apt_marble/steam-game-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 '{
  "gameUrls": [
    "https://store.steampowered.com/app/730/CounterStrike_2/"
  ],
  "maxReviews": 20,
  "filter": "recent",
  "language": "all",
  "maxConcurrency": 2,
  "proxyCountry": "us"
}' |
apify call apt_marble/steam-game-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,apt_marble/steam-game-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/a9ToWYvkq5E9ugQ8G/builds/Yt6QgKfh0joIbGzsp/openapi.json