# Steam Reviews Scraper: Game Reviews, Playtime & Votes (`scrape-smith/steam-reviews-scraper`) Actor

Steam reviews scraper for any game via Valve's public appreviews endpoint: review text, recommended or not, playtime at review, helpful/funny votes, language, Steam Deck and early access flags, and developer responses. Export to CSV or JSON for player sentiment analysis and game market research.

- **URL**: https://apify.com/scrape-smith/steam-reviews-scraper.md
- **Developed by:** [Ryan Sofranko](https://apify.com/scrape-smith) (community)
- **Categories:** Games, Other
- **Features:** Limited permissions
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.30 / 1,000 review returneds

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

### What does Steam Reviews Scraper do?

Steam reviews scraper for any game via Valve's public reviews Web API: review text, recommended or not, playtime at review, helpful/funny votes, language, Steam Deck and early access flags, and developer responses. Export to CSV or JSON for player sentiment analysis and game market research.

📖 Step-by-step tutorial: <https://dev.to/scrape-smith/how-to-export-steam-game-reviews-with-playtime-for-player-sentiment-analysis-4fej>

**Popular searches this actor answers:** Steam reviews scraper, Steam review API, Steam game reviews, player sentiment analysis, Steam playtime, game market research.

**Try it free:** the input is prefilled, so just click **Start** and you get real results in seconds for a fraction of a cent.

### What data does it return?

Real rows from a test run with the example input (truncated):

| gameName | recommended | playtimeAtReviewMinutes | votesUp | language | createdAt |
|---|---|---|---|---|---|
| Team Fortress 2 | True | 1236 | 0 | spanish | 2026-10-22T15:37:07.000Z |
| Team Fortress 2 | True | 434 | 0 | english | 2026-10-22T15:14:04.000Z |
| Team Fortress 2 | True | 5227 | 0 | english | 2026-10-22T15:03:14.000Z |
| Team Fortress 2 | True | 8209 | 0 | spanish | 2026-10-22T14:33:36.000Z |
| Team Fortress 2 | True | 473 | 0 | english | 2026-10-22T14:12:17.000Z |

Full JSON for one row:

```json
[
  {
    "appId": "440",
    "gameName": "Team Fortress 2",
    "reviewId": "238311195",
    "url": "https://steamcommunity.com/profiles/76561198992652550/recommended/440/",
    "recommended": true,
    "text": "mi juego favorito desde hace años, lo he jugado en otras cuentas pero quise empezar de cero otra vez, simplemente una obra maestra no te puedes aburrir de este …",
    "language": "spanish",
    "createdAt": "2026-10-22T15:37:07.000Z",
    "updatedAt": "2026-10-22T15:37:07.000Z",
    "votesUp": 0,
    "votesFunny": 0,
    "weightedVoteScore": 0.5,
    "commentCount": 0,
    "steamPurchase": true,
    "receivedForFree": false,
    "writtenDuringEarlyAccess": false,
    "primarilySteamDeck": false,
    "authorSteamId": "76561198992652550",
    "authorNumGamesOwned": 14,
    "authorNumReviews": 2,
    "playtimeForeverMinutes": 1236,
    "playtimeAtReviewMinutes": 1236,
    "playtimeLastTwoWeeksMinutes": 176,
    "developerResponse": null,
    "reviewScoreDesc": "Very Positive"
  }
]
```

Download results as JSON, CSV, Excel, XML or HTML, call it via the Apify API, or connect it to Zapier, Make, n8n, Google Sheets and AI agents (Apify MCP server).

### Use cases

- Game studios: track player sentiment after patches
- Competitor and genre market research
- Sentiment analysis / NLP datasets
- Daily monitoring of negative reviews

### How to use Steam Reviews Scraper

1. Open the actor and keep the prefilled example, or replace it with your own input.
2. Click **Start** and wait for the run to finish.
3. Export the dataset or fetch it via API.

#### Input

| Field | Description |
|---|---|
| `appIds` | Steam app IDs or store URLs, one per line, e.g. `440` or https://store.steampowered.com/app/1091500/Cyberpunk_2077/. |
| `maxReviewsPerApp` | Maximum reviews per game (each review is one billed row). Example: 200. |
| `filter` | Order: `recent` = newest created (full history), `updated` = recently updated, `all` = most helpful first. |
| `language` | Steam language name (`english`, `german`, `schinese`, `brazilian` ...) or `all`. |
| `reviewType` | `all`, `positive` (recommended) or `negative` (not recommended) reviews only. |
| `purchaseType` | `all`, `steam` (bought on Steam) or `non_steam_purchase` (keys bought elsewhere). |
| `dayRange` | Only with order `all`: limit to reviews from the last N days (1-365). |
| `includeAppName` | Look up and add the game name to each row (one extra request per game). |

Example input:

```json
{
  "appIds": [
    "440"
  ],
  "maxReviewsPerApp": 20
}
```

### Source

Uses Valve's documented public `IUserReviewsService/GetAppReviews` Web API (the replacement for the old store appreviews endpoint Valve retired on Oct 22, 2026) with cursor pagination (throttled ~1 req/s). Not affiliated with or endorsed by Valve. Steam limits how far back some orderings go; use `order=recent` for full history.

### Pricing

Pay per event: **$0.0003 per review**. 10,000 reviews = $3. Apify platform usage is included. Charged events: `review` (per review row). Error rows are free. Set a max charge per run to cap cost; the actor stops cleanly when the limit is reached.

| Example job | Approx. cost |
|---|---|
| 20 reviews | $0.006 |
| 10,000 reviews | $3.00 |

### FAQ

#### Is this the official Steam API?

It uses Valve's documented public reviews Web API. Not affiliated with Valve.

#### How far back can I go?

With order `recent` you can page through the full review history.

#### Can I get only English negative reviews?

Yes: `language=english`, `reviewType=negative`.

#### Is it legal to use this data?

The actor only reads public, official endpoints. You are responsible for using the data in line with the source's terms and applicable laws (e.g. GDPR for personal data).

### API example

```bash
curl -X POST "https://api.apify.com/v2/acts/scrape-smith~steam-reviews-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H 'Content-Type: application/json' -d '{"appIds": ["440"], "maxReviewsPerApp": 20}'
```

### More Scrape-Smith actors

- [Wayback Machine Scraper](https://apify.com/scrape-smith/wayback-snapshots)
- [Shopify Products Scraper](https://apify.com/scrape-smith/shopify-products-feed)
- [Apple App Store Reviews Scraper](https://apify.com/scrape-smith/apple-app-store-reviews)
- [USPTO Trademark Status Lookup](https://apify.com/scrape-smith/uspto-trademark-status)
- [ATS Jobs Scraper](https://apify.com/scrape-smith/multi-ats-jobs-feed)
- [Bluesky Scraper](https://apify.com/scrape-smith/bluesky-posts-profiles)
- [Apple Podcasts Scraper](https://apify.com/scrape-smith/apple-podcasts-scraper)

# Actor input Schema

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

Steam app IDs or store URLs, one per line, e.g. `440` or https://store.steampowered.com/app/1091500/Cyberpunk_2077/.

## `maxReviewsPerApp` (type: `integer`):

Maximum reviews per game (each review is one billed row). Example: 200.

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

Order: `recent` = newest created (full history), `updated` = recently updated, `all` = most helpful first.

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

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

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

`all`, `positive` (recommended) or `negative` (not recommended) reviews only.

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

`all`, `steam` (bought on Steam) or `non_steam_purchase` (keys bought elsewhere).

## `dayRange` (type: `integer`):

Only with order `all`: limit to reviews from the last N days (1-365).

## `includeAppName` (type: `boolean`):

Look up and add the game name to each row (one extra request per game).

## Actor input object example

```json
{
  "appIds": [
    "440"
  ],
  "maxReviewsPerApp": 20,
  "filter": "recent",
  "language": "all",
  "reviewType": "all",
  "purchaseType": "all",
  "includeAppName": true
}
```

# Actor output Schema

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

Results stored in the default dataset

# 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": [
        "440"
    ],
    "maxReviewsPerApp": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrape-smith/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": ["440"],
    "maxReviewsPerApp": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("scrape-smith/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": [
    "440"
  ],
  "maxReviewsPerApp": 20
}' |
apify call scrape-smith/steam-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrape-smith/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/n11vvlejeqTcC3cSw/builds/VwvaOQvnMDtjO5sxe/openapi.json