# Steam Reviews Scraper: Reviews, Playtime & Game Data (`jmrsquared_tech/steam-reviews-scraper`) Actor

Scrape Steam user reviews with playtime, votes and developer replies, plus game price, genres and review score totals. Any game, any language.

- **URL**: https://apify.com/jmrsquared_tech/steam-reviews-scraper.md
- **Developed by:** [Tech IT](https://apify.com/jmrsquared_tech) (community)
- **Categories:** E-commerce, Developer tools
- **Stats:** 2 total users, 1 monthly users, 66.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.80 / 1,000 review or games

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: Reviews, Playtime & Game Data

Scrape Steam user reviews for any game: review text, thumbs up or down, playtime when reviewed, helpful and funny votes, developer replies and the reviewer's library size. Add game details too: price, discount, genres, developers, release date and Steam's review score totals. Works in every Steam language.

### What you get

- **Reviews**: text, recommended or not, created and updated dates, votes, comment count, Steam Deck flag, early-access flag, free-key flag and developer response.
- **Reviewer stats**: playtime at review, total playtime, playtime in the last two weeks, games owned and number of reviews written.
- **Game record**: name, price and discount for your chosen store country, genres, categories, platforms, developers, publishers, release date, Metacritic score and Steam's review score ("Very Positive") with positive and negative totals.

### Quick start

1. Enter a game as an app ID (`730`), a store URL or a name (`Stardew Valley`).
2. Choose how many reviews you want per game.
3. Click **Start** and export to JSON, CSV or Excel, or read the results through the API.

### Input

| Field | What it does |
|---|---|
| Games | App IDs, store URLs or game names |
| Max reviews per game | Stops each game at this many reviews |
| Sort by | Newest first, recently updated or most helpful |
| Review type | All, positive only or negative only |
| Review language | `all`, or a Steam language name such as `english` or `schinese` |
| Purchase type | Bought on Steam, key activations or both |
| Reviews written on or after | Date cut-off for newest-first runs |
| Include game details | Adds one game record per game |
| Store country for prices | Two-letter code, e.g. `us`, `gb`, `za` |
| Include off-topic review bombs | Steam hides these by default |

### Output example

```json
{
  "type": "review",
  "appId": 413150,
  "gameName": "Stardew Valley",
  "votedUp": true,
  "review": "Stardew is always a comfort game...",
  "language": "english",
  "createdAt": "2026-10-19T09:31:14Z",
  "votesUp": 3,
  "votesFunny": 0,
  "authorPlaytimeAtReviewMinutes": 11340,
  "authorNumGamesOwned": 87,
  "steamPurchase": true,
  "developerResponse": null,
  "url": "https://steamcommunity.com/profiles/7656119.../recommended/413150/"
}
```

### Pricing

You pay per result saved. Set a maximum cost per run and the scraper stops cleanly when it reaches it.

### Use cases

- Sentiment tracking after patches, sales or launches
- Competitor research before you build or price a game
- Finding the most common complaints in negative reviews
- Datasets for review analysis and AI training

# Actor input Schema

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

Steam app IDs (730), store URLs (https://store.steampowered.com/app/730/) or game names (Counter-Strike 2).

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

Stop each game at this many reviews.

## `sortBy` (type: `string`):

Newest first works with the date cut-off. Most helpful follows Steam's helpfulness ranking.

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

Only recommended reviews, only not-recommended reviews, or both.

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

Steam language name such as english, spanish, schinese or brazilian. Use all for every language.

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

Reviews from people who bought on Steam, from key activations, or both.

## `since` (type: `string`):

ISO date such as 2026-01-01. Works with Newest first.

## `includeGameDetails` (type: `boolean`):

Adds one record per game with price, genres, developers, release date and review score totals.

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

Two-letter country code, e.g. us, gb, za.

## `includeReviewBombs` (type: `boolean`):

Steam hides reviews from off-topic review-bomb periods by default.

## Actor input object example

```json
{
  "games": [
    "730"
  ],
  "maxReviewsPerGame": 100,
  "sortBy": "recent",
  "reviewType": "all",
  "language": "all",
  "purchaseType": "all",
  "includeGameDetails": true,
  "country": "us",
  "includeReviewBombs": false
}
```

# Actor output Schema

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

One record per review (type=review) and per game (type=game).

# 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": [
        "730"
    ]
};

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

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jmrsquared_tech/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/LpcsYKaY6KBhfQsFk/builds/lzbaaq421K7Ug8msi/openapi.json