# Steam Reviews Scraper — Playtime, Votes, Languages, No Login (`chorelet/steam-reviews-scraper`) Actor

Scrape Steam game reviews with author playtime, helpful/funny votes, purchase type and language — plus the game's price, genres and overall score on every row. Newest, updated or most helpful; positive/negative filters; CSV/JSON export and API.

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

## Pricing

from $0.35 / 1,000 reviews

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 — Playtime, Votes, Languages, No Login

Get the reviews of any Steam game — by store URL, app ID or just the game's name — with the reviewer's playtime, helpful and funny votes, purchase type, language and Steam Deck flag, plus the game's price, genres, Metacritic and overall Steam score on every row. Newest first, recently updated, or Steam's "most helpful" ranking; positive-only or negative-only; per language. JSON, CSV, Excel or API.

Uses Steam's public review endpoint: exact data, no login, no proxies.

### Why this Actor

- Games by store URL, app ID or just the name
- Reviewer playtime (total and at review time), helpful and funny votes, purchase type, language, Steam Deck flag
- Game price, genres, Metacritic and Steam's overall score on every row
- Newest, recently updated or most helpful; positive-only or negative-only
- Checked every day by an automated run

### Sample output

One item of the dataset (long values shortened):

```json
{
  "gameName": "Dota 2",
  "reviewScoreDesc": "Very Positive",
  "totalReviews": 839203,
  "reviewId": "235717536",
  "language": "english",
  "recommended": true,
  "text": "adictivo xd",
  "createdAt": "2026-09-20T20:00:53.000Z",
  "votesHelpful": 0,
  "author": {
    "steamId": "76561199473778746",
    "name": "Please, please, please",
    "profileUrl": "https://steamcommunity.com/profiles/76561199473778746/",
    "gamesOwned": 30,
    "reviewsWritten": 11,
    "playtimeHours": 52.9,
    "playtimeAtReviewHours": 52.9,
    "playtimeLastTwoWeeksHours": 41.1
  },
  "url": "https://steamcommunity.com/profiles/76561199473778746/recommended/570"
}
```

### What you get

| Field | Description |
|---|---|
| `appId`, `gameName`, `gameUrl`, `developers`, `publishers`, `releaseDate`, `genres`, `price`, `currency`, `isFree`, `metacritic` | The game |
| `reviewScore`, `reviewScoreDesc`, `totalPositive`, `totalNegative`, `totalReviews` | Steam's overall verdict at scrape time |
| `reviewId`, `url`, `language`, `recommended`, `text`, `createdAt`, `updatedAt` | The review |
| `votesHelpful`, `votesFunny`, `helpfulnessScore`, `commentCount` | Community reaction |
| `steamPurchase`, `receivedForFree`, `earlyAccess`, `steamDeck`, `refunded` | Context flags |
| `author` | Steam ID, name, profile URL, games owned, reviews written, playtime (total, at review, last two weeks), last played |

A per-game summary (name, total reviews on Steam, reviews fetched, errors) is saved as `SUMMARY`.

### Input

- **Games** — URLs, app IDs or names (resolved through Steam search).
- **Max reviews per game**, **Language** (`all` or a Steam language name), **Order** (newest / recently updated / most helpful), **Review type** (all / positive / negative), **Purchase type**, **Only reviews newer than**, **Store country** (for the price).

### Limits and notes

- "Most helpful" order covers the last 365 days (Steam's `all` filter); newest and updated orders reach the whole history.
- Steam paginates with cursors; very large games (millions of reviews) simply take longer — about 100 reviews per request.
- Public data only; the Actor stores nothing beyond the dataset of your run.

### Input example

```json
{
  "games": [
    "https://store.steampowered.com/app/413150/Stardew_Valley/"
  ],
  "maxReviewsPerGame": 500,
  "language": "english",
  "filter": "recent",
  "reviewType": "all",
  "purchaseType": "all",
  "country": "us"
}
```

### How much does it cost?

Pay per review — no subscription, no minimum, no charge for platform usage.

| Volume | Price |
|---|---|
| 1,000 reviews | $0.50 |
| 10,000 reviews | $5.00 |
| 100,000 reviews | $50.00 |

The Apify **free plan includes $5 of usage every month** — about 10,000 reviews with this Actor, no card needed. Nothing else is charged: platform usage is included in the price, and Apify Bronze, Silver and Gold subscribers get 10%, 20% and 30% off these prices.

### Use it from code, n8n, Make, Zapier or an AI agent

Run the Actor and download the dataset in one call (JSON by default; add `&format=csv` or `xlsx`):

```bash
curl -X POST "https://api.apify.com/v2/acts/chorelet~steam-reviews-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"games": ["https://store.steampowered.com/app/413150/Stardew_Valley/"], "maxReviewsPerGame": 500, "language": "english", "filter": "recent", "reviewType": "all", "purchaseType": "all", "country": "us"}'
```

Python:

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("chorelet/steam-reviews-scraper").call(run_input={"games": ["https://store.steampowered.com/app/413150/Stardew_Valley/"], "maxReviewsPerGame": 500, "language": "english", "filter": "recent", "reviewType": "all", "purchaseType": "all", "country": "us"})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

- **n8n, Make, Zapier** — use the Apify node/module: run the Actor, then "get dataset items".
- **Google Sheets, Slack, webhooks** — add an integration on the run's *Integrations* tab.
- **AI agents** — the Actor is available as a tool through the Apify MCP server; the dataset schema describes every field for the model.
- **Schedules** — run it hourly, daily or weekly from the *Schedules* tab.

### FAQ

**How many reviews can I get per game?**

All of them — Steam paginates with cursors, about 100 reviews per request. Games with millions of reviews simply take longer.

**Can I get only negative reviews?**

Yes — `reviewType: negative` (or `positive`). Combine with `postedAfter` to see what changed after an update.

**Which languages are supported?**

`all` or any Steam language name (`english`, `german`, `schinese`, `japanese`, `brazilian`…).

**Is the reviewer's playtime included?**

Yes — total playtime, playtime at the time of the review and in the last two weeks, in hours.

**What does a run cost?**

$0.50 per 1,000 reviews. The free plan's $5 a month covers about 10,000 reviews.

### Support

Questions, missing fields or a source that changed? Open an issue on the *Issues* tab or write to support@chorelet.app — problems are usually fixed within a day, and the Actor is checked every morning by an automated test run. If the Actor saved you time, a short review on its Store page helps other people find it.

# Actor input Schema

## `games` (type: `array`):

Steam store URLs, app IDs or game names: `https://store.steampowered.com/app/570/Dota_2/`, `413150`, `Stardew Valley` (names are resolved through Steam search — first match wins).

## `maxReviewsPerGame` (type: `integer`):

Reviews are read in pages of 100.

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

`all` or a Steam language name: `english`, `german`, `french`, `spanish`, `russian`, `schinese`, `japanese`, `brazilian`, `koreana`…

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

`recent` — newest first; `updated` — last edited first; `all` — Steam's helpfulness ranking within the last year.

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

All reviews, only recommended (positive) or only not recommended (negative).

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

Reviews by Steam purchasers, by key activators, or both.

## `postedAfter` (type: `string`):

Absolute date `2026-01-31` or relative `7 days`, `3 months`, `1 year`. With the 'Newest first' order scraping stops at the first older review.

## `country` (type: `string`):

Two-letter code for prices in the game summary (`us`, `gb`, `de`…).

## Actor input object example

```json
{
  "games": [
    "https://store.steampowered.com/app/413150/Stardew_Valley/"
  ],
  "maxReviewsPerGame": 500,
  "language": "english",
  "filter": "recent",
  "reviewType": "all",
  "purchaseType": "all",
  "country": "us"
}
```

# Actor output Schema

## `reviews` (type: `string`):

All reviews — items of the default dataset. Use ?format=csv or xlsx on this URL for spreadsheets.

## `summary` (type: `string`):

Game name, total reviews on Steam and number fetched per game, plus errors.

# 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 = {
    "games": [
        "https://store.steampowered.com/app/413150/Stardew_Valley/"
    ],
    "maxReviewsPerGame": 500,
    "language": "english",
    "country": "us"
};

// Run the Actor and wait for it to finish
const run = await client.actor("chorelet/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 = {
    "games": ["https://store.steampowered.com/app/413150/Stardew_Valley/"],
    "maxReviewsPerGame": 500,
    "language": "english",
    "country": "us",
}

# Run the Actor and wait for it to finish
run = client.actor("chorelet/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 '{
  "games": [
    "https://store.steampowered.com/app/413150/Stardew_Valley/"
  ],
  "maxReviewsPerGame": 500,
  "language": "english",
  "country": "us"
}' |
apify call chorelet/steam-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,chorelet/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/XXBsXvVecOVx9AvH6/builds/CyZAY8V2e59mRoAM7/openapi.json