# Steam Reviews Scraper - Ratings, Text & Playtime (No Key) (`ninhothedev/steam-reviews-scraper`) Actor

$0.35/1K 🔥 Fast Steam reviews scraper! Recommended, review text, playtime, votes & date from any game — no key. JSON, CSV, Excel or API in seconds. Drop app IDs & pull thousands of reviews for sentiment & game feedback ⚡

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

## Pricing

from $0.35 / 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.

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 🎮

Scrape **Steam game reviews** at scale — recommendation rating, full review text, playtime hours, helpful/funny votes, purchase type and language — as clean, flat JSON. **No API key. No login. Datacenter-proxy friendly.**

Point it at one or more Steam **App IDs** (the number in a store URL, e.g. `570` = Dota 2, `730` = Counter-Strike 2) and get structured review data ready for analysis, dashboards or ML.

***

### ✨ Why this actor

- **No API key, no cookies** — uses Steam's public store review endpoint.
- **Cheap** — priced to undercut everyone at **~$0.50 / 1,000 reviews**.
- **Rich per-review fields** — rating, text, playtime (hours), votes, weighted helpfulness, Steam-purchase & received-free flags, language, ISO date.
- **Robust** — Chrome impersonation + urllib fallback, cursor pagination, de-duplication, fail-loud on empty results.
- **Clean schema** — every field nullable, tidy dataset views, export to JSON/CSV/Excel.

***

### 💸 Pricing

Pay-per-result at roughly **$0.50 per 1,000 reviews** — one of the cheapest Steam review scrapers on the store. Scrape a full sentiment sample for pennies.

***

### 🚀 Input

```json
{
  "mode": "reviews",
  "appIds": ["570", "730"],
  "filter": "recent",
  "language": "all",
  "maxItems": 200
}
```

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `mode` | select | `reviews` | What to scrape (reviews). |
| `appIds` | array | `["570","730"]` | Steam App IDs — the number in `store.steampowered.com/app/<ID>`. |
| `filter` | select | `recent` | `recent`, `updated`, or `all` (helpfulness ranking). |
| `language` | string | `all` | Steam language code (`english`, `german`, `schinese`, …) or `all`. |
| `maxItems` | integer | `200` | Max total reviews across all apps (1–2000). |

***

### 📤 Output

Each dataset item:

```json
{
  "app_id": "570",
  "review_id": "230527392",
  "author_steamid": "76561198326697527",
  "recommended": true,
  "review": "Best MOBA, 5000 hours and counting.",
  "votes_up": 12,
  "votes_funny": 3,
  "weighted_score": 0.75,
  "playtime_hours": 5231.4,
  "playtime_at_review_hours": 4980.0,
  "games_owned": 142,
  "steam_purchase": true,
  "received_free": false,
  "language": "english",
  "date": "2026-07-14T20:14:12+00:00",
  "scraped_at": "2026-07-16T09:00:00+00:00"
}
```

***

### 🎯 Use cases

- **Game feedback mining** — surface what players love and hate about a title.
- **Sentiment analysis** — feed `recommended` + `review` text into an NLP pipeline.
- **Reputation / brand monitoring** — track review score trends over patches and launches.
- **QA & bug triage** — spot recurring crash/bug complaints early.
- **Market & competitor research** — benchmark your game against rivals' review sentiment.

***

### 🔍 How it works

The actor calls Steam's public `store.steampowered.com/appreviews/{appid}?json=1` endpoint, impersonating Chrome via `curl_cffi` (with a plain `urllib` fallback). It paginates using the endpoint's `cursor` token — URL-encoded on every request — de-duplicating by `recommendationid` until reviews run out or `maxItems` is reached.

***

### 📊 Comparison

| | This actor | Steam Web API | Manual export |
|---|---|---|---|
| API key needed | ❌ No | ✅ Yes | — |
| Full review text | ✅ | ✅ | Copy/paste |
| Playtime in hours | ✅ | Minutes only | ❌ |
| Ready JSON/CSV/Excel | ✅ | Raw JSON | ❌ |
| Price | **~$0.50/1k** | Free but rate-limited & keyed | Free but manual |

***

### 🔗 Related actors by ninhothedev

- [Steam Games Scraper](https://apify.com/ninhothedev/steam-games-scraper)
- [App Store Reviews Scraper](https://apify.com/ninhothedev/app-store-reviews-scraper)
- [GOG Games Scraper](https://apify.com/ninhothedev/gog-games-scraper)
- [Trustpilot Scraper](https://apify.com/ninhothedev/trustpilot-scraper)

***

**Keywords:** steam reviews scraper, steam game reviews, steam review api, game sentiment analysis, steam playtime, steam ratings, gaming reputation monitoring, steam appreviews, video game feedback, steam data export

# Actor input Schema

## `mode` (type: `string`):

What to scrape. Currently 'reviews' fetches user reviews for the given Steam app IDs.

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

One or more Steam application IDs (the number in a store URL, e.g. 570 for Dota 2, 730 for CS2). Find it at store.steampowered.com/app/<ID>.

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

Sort/selection order: 'recent' (newest first), 'updated' (recently edited first), or 'all' (Steam's helpfulness ranking).

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

Review language filter using Steam language codes (e.g. 'english', 'german', 'schinese') or 'all' for every language.

## `maxItems` (type: `integer`):

Maximum total number of reviews to scrape across all app IDs (1-2000). The budget is shared across the provided apps.

## Actor input object example

```json
{
  "mode": "reviews",
  "appIds": [
    "570",
    "730"
  ],
  "filter": "recent",
  "language": "all",
  "maxItems": 200
}
```

# 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": [
        "570",
        "730"
    ],
    "maxItems": 200
};

// Run the Actor and wait for it to finish
const run = await client.actor("ninhothedev/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": [
        "570",
        "730",
    ],
    "maxItems": 200,
}

# Run the Actor and wait for it to finish
run = client.actor("ninhothedev/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": [
    "570",
    "730"
  ],
  "maxItems": 200
}' |
apify call ninhothedev/steam-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ninhothedev/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/SIT69yPa47LqXWsn8/builds/gqsuGC7eAwMM4ou9m/openapi.json