# Steam Reviews Scraper: Game Reviews, Playtime & Review Score (`atesen-software/steam-reviews-scraper`) Actor

Scrape Steam game reviews from the official Steam store endpoint: recommended or not, text, date, helpful/funny votes, playtime at review, Steam Deck, developer responses, plus a free review-score summary per game. Game URL, ID or name. $0.30 per 1,000 reviews.

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

## Pricing

from $0.30 / 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.

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 - Game Reviews & Playtime

Scrape **Steam game reviews** from Steam's official store review endpoint: **recommended or not, review text, date, helpful and funny votes, playtime at review time, Steam Deck, early access, free key, and developer responses**. Plus a free summary per game with the **review score** ("Overwhelmingly Positive"), total positive and negative reviews.

- **$0.30 per 1,000 reviews**, no start fee beyond Apify's minimum.
- Game **URL, app ID or just the name** ("Stardew Valley").
- **All reviews** of a game (`maxReviewsPerGame: 0`), newest, recently updated or most helpful.
- Filter by **positive / negative**, **language**, **purchase type** and **date**.
- No browser, no proxy, no login, no API key.
- Never fails on bad input: wrong IDs, other URLs and typos become free `status` rows.

### Use cases

- **Game studios and publishers**: monitor new negative reviews after a patch, by language.
- **Market research**: what players praise or hate in a genre; compare competitors.
- **Sentiment analysis / AI summaries** with playtime context (a 2-hour vs 500-hour player).
- **Investors and analysts**: review velocity and score trends.

### Input

| Field | Description |
|---|---|
| `games` | `https://store.steampowered.com/app/730/...`, `730` or `Counter-Strike 2` |
| `maxReviewsPerGame` | Default 200; `0` = all |
| `sort` | `recent` (default), `updated`, `all` (most helpful) |
| `reviewType` | `all`, `positive`, `negative` |
| `language` | `all` (default), `english`, `german`, `turkish`, `schinese` ... |
| `purchaseType` | `all`, `steam`, `non_steam_purchase` |
| `onlyReviewsNewerThan` | Skip older reviews |

```json
{
  "games": ["https://store.steampowered.com/app/413150/Stardew_Valley/", "Hades"],
  "maxReviewsPerGame": 500,
  "reviewType": "negative",
  "language": "english"
}
```

### Output

One row per review (`type: "review"`): `appId`, `gameName`, `reviewId`, `recommended`, `text`, `language`, `createdAt`, `updatedAt`, `votesUp`, `votesFunny`, `helpfulnessScore`, `commentCount`, `steamPurchase`, `receivedForFree`, `earlyAccess`, `primarilySteamDeck`, `developerResponse`, `developerResponseAt`, `authorPlaytimeHours`, `authorPlaytimeAtReviewHours`, `authorPlaytimeLast2WeeksHours`, `authorGamesOwned`, `authorReviewCount`, `url`.

One free row per game (`type: "game_summary"`): `reviewScoreDesc`, `reviewScore`, `totalPositive`, `totalNegative`, `totalReviews`.

```json
{
  "appId": "730",
  "gameName": "Counter-Strike 2",
  "recommended": false,
  "text": "hacker plagued garbage",
  "createdAt": "2026-10-19T08:52:08.000Z",
  "votesUp": 0,
  "authorPlaytimeAtReviewHours": 2368.2
}
```

#### Status rows (free)

`invalid_input`, `not_found` (no Steam app with that ID / name), `no_reviews` (nothing matches the filters), `failed` / `partial` (Steam stopped answering; rows already saved are kept).

### Pricing

Pay per event: **$0.0003 per review** ($0.30 per 1,000). Game summaries and status rows are free. *Maximum cost per run* is respected.

Reads Steam's public review endpoint. Use the data responsibly.

# Actor input Schema

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

Steam store URLs (https://store.steampowered.com/app/730/...), app IDs (730) or game names ("Stardew Valley").

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

0 = all reviews.

## `sort` (type: `string`):

recent = newest first, updated = recently updated, all = most helpful.

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

Positive, negative or both.

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

Steam language name: "all" (default), "english", "german", "turkish", "schinese" ...

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

Which buyers to include.

## `onlyReviewsNewerThan` (type: `string`):

Skip reviews older than this date.

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

How many games are scraped at the same time.

## Actor input object example

```json
{
  "games": [
    "https://store.steampowered.com/app/413150/Stardew_Valley/"
  ],
  "maxReviewsPerGame": 200,
  "sort": "recent",
  "reviewType": "all",
  "purchaseType": "all",
  "maxConcurrency": 2
}
```

# Actor output Schema

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

No description

## `allFields` (type: `string`):

No description

## `summary` (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 = {
    "games": [
        "https://store.steampowered.com/app/413150/Stardew_Valley/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("atesen-software/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/"] }

# Run the Actor and wait for it to finish
run = client.actor("atesen-software/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/"
  ]
}' |
apify call atesen-software/steam-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,atesen-software/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/afP2Em0aJCKUszBJt/builds/xxLFGP2l6jf9VWRfi/openapi.json