# Steam Reviews Scraper: All Reviews, Any Game, No Key (`wulfcare/steam-reviews-scraper`) Actor

Scrape every Steam review of any game, with no cap and no API key: newest/helpful sort, positive/negative, any language, playtime, votes, Steam Deck and developer replies. $0.10 per 1,000 reviews, no start fee, errors free.

- **URL**: https://apify.com/wulfcare/steam-reviews-scraper.md
- **Developed by:** [Wulfcare Data](https://apify.com/wulfcare) (community)
- **Categories:** Games, Developer tools
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.08 / 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

Scrape **every Steam review** of any game, **with no cap and no API key**. It pages through all of them: a game with 100,000 reviews takes about 10 minutes.

- **Sort** newest first, most helpful or recently updated
- **Positive or negative only** (filtered on Steam's side, so you only pay for those) and **stop at a date** (only reviews since 2026-09-01, or the last 30 days)
- **Any language**, or all of them at once
- Each review has the recommendation, text, date, **hours played (at review time and total)**, **helpful and funny votes**, **Steam Deck**, **early access**, **free copy / refunded**, **the developer's reply** and a link to the review
- Games by **app id** (`1145360`), **store URL** or just the **name** (`Stardew Valley`)
- **$0.10 per 1,000 reviews**, no start fee, and errors are free

A wrong id, a typo or a game with no reviews **never crashes the run**. You get a free row that says what went wrong, and the other games carry on.

### What people use it for

- **Review monitoring for game devs**: run it daily with *Only reviews since: 1 day* and send new negative reviews to Discord, Slack or a spreadsheet
- **Patch and launch feedback**: newest first after an update shows what players think of it, with their playtime
- **Sentiment analysis and LLM datasets**: hundreds of thousands of reviews of your game and similar games, in every language
- **Market research**: what players love and hate in a genre before you build in it
- **Community management**: see which reviews the developer already answered and which still need a reply

### How to use it

1. Add games: app ids like `1145360`, store URLs, or names.
2. Set **Maximum reviews per game** (0 = all of them), and optionally an order, positive/negative, languages or a date.
3. Run it, then download JSON, CSV or Excel, or call the API.

Every column is present on every row (`null` when Steam has no value), and the columns don't change between runs. Per-game totals (reviews scraped, Steam's own positive/negative counts) are saved in the run's key-value store as `SUMMARY`.

### What you get: one row per review

```json
{
  "appId": "1145360",
  "appName": "Hades",
  "reviewId": "204118551",
  "recommended": true,
  "text": "One more run turned into 60 hours. The best roguelike I've played.",
  "language": "english",
  "createdAt": "2026-10-21T18:44:09Z",
  "updatedAt": "2026-10-21T18:44:09Z",
  "votesUp": 12,
  "votesFunny": 1,
  "helpfulScore": 0.61,
  "commentCount": 0,
  "steamPurchase": true,
  "receivedForFree": false,
  "refunded": false,
  "writtenDuringEarlyAccess": false,
  "primarilySteamDeck": true,
  "playtimeAtReviewHours": 58.3,
  "playtimeForeverHours": 61.2,
  "playtimeLastTwoWeeksHours": 9.4,
  "deckPlaytimeAtReviewHours": 41.0,
  "lastPlayedAt": "2026-10-23T22:10:51Z",
  "authorReviewCount": 7,
  "developerResponse": null,
  "developerResponseAt": null,
  "reviewUrl": null,
  "authorSteamId": null,
  "error": null
}
```

Reviewer **Steam IDs** and review links are optional (off by default). Names and avatars are never collected.

### Pricing

**$0.10 per 1,000 reviews.** There's no start fee and no monthly rental, and **you're never charged for errors**: games not found, invalid inputs and failed requests are free rows.

Set **Max cost per run** in the run options to cap your spend. The run stops cleanly when it gets there, and you keep everything scraped so far.

### Examples

**Every negative review from the last 30 days**

```json
{ "appIds": ["1145360"], "maxReviewsPerApp": 0, "reviewType": "negative", "reviewsSince": "30 days" }
```

**The 500 most helpful English reviews**

```json
{ "appIds": ["Baldur's Gate 3"], "reviewsSort": "helpful", "languages": ["english"], "maxReviewsPerApp": 500 }
```

**Every review of several games** (for a dataset or an LLM)

```json
{ "appIds": ["1145360", "413150", "367520"], "maxReviewsPerApp": 0 }
```

### Good to know

- **"Everyone" includes free-to-play, gifted and key reviews.** Steam's store page counts only buyers by default; pick *Bought on Steam only* to match that.
- **Steam hides some reviews** (off-topic review bombs, spam). Those aren't returned, the same as on the store page.
- **Game names** use Steam's store search: the top match is used, and its id and name are on every row. Use ids when you need to be exact.
- **Everything comes from Steam's public review API**, the one the store page itself uses. No Steam account or API key is needed.
- **Data accuracy:** results are what the source showed at run time and can contain errors or change later. Check anything important before you rely on it.

### Other Actors by Wulfcare Data

- [App Store Reviews Scraper](https://apify.com/wulfcare/app-store-reviews-scraper): every Apple App Store review, with no 500 cap
- [Google Play Reviews Scraper](https://apify.com/wulfcare/google-play-reviews-scraper): every Google Play review, with no cap
- [YouTube Comments Scraper](https://apify.com/wulfcare/youtube-comments-scraper): every comment and reply on any video
- [Free YouTube Scraper](https://apify.com/wulfcare/youtube-scraper): YouTube videos, Shorts, channels and searches, free

Found a problem or need a field? Open an issue on the Issues tab.

# Actor input Schema

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

Steam app ids (1145360), store URLs (https://store.steampowered.com/app/1145360/) or game names (the best match on Steam is used). Every review of each game is fetched, up to the limit below.

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

0 = every review the game has (big games have hundreds of thousands).

## `reviewsSort` (type: `string`):

Newest first can also stop at a date (below).

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

Positive = the reviewer recommends the game (thumbs up). Filtered on Steam's side, so you only pay for the reviews you want.

## `languages` (type: `array`):

"all", or Steam language names like english, schinese, russian, spanish, brazilian, german, french, japanese, koreana.

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

Everyone matches the review counts on free-to-play games. "Bought on Steam only" matches the default count on a paid game's store page.

## `reviewsSince` (type: `string`):

Skip reviews older than this, e.g. 2026-09-01 or "30 days". The run stops as soon as it reaches older reviews (uses Newest first).

## `includeReviewerIds` (type: `boolean`):

Off by default. On: each row gets the reviewer's public Steam ID and a link to the review.

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

Each game's reviews are read page by page; this many games run in parallel.

## `proxyConfiguration` (type: `object`):

Not needed: Steam's review API is public. Turn on only if you see rate-limit errors.

## Actor input object example

```json
{
  "appIds": [
    "1145360",
    "https://store.steampowered.com/app/440/Team_Fortress_2/",
    "Stardew Valley"
  ],
  "maxReviewsPerApp": 200,
  "reviewsSort": "newest",
  "reviewType": "all",
  "languages": [
    "all"
  ],
  "purchaseType": "all",
  "includeReviewerIds": false,
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (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 = {
    "appIds": [
        "1145360",
        "https://store.steampowered.com/app/440/Team_Fortress_2/",
        "Stardew Valley"
    ],
    "maxReviewsPerApp": 200
};

// Run the Actor and wait for it to finish
const run = await client.actor("wulfcare/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": [
        "1145360",
        "https://store.steampowered.com/app/440/Team_Fortress_2/",
        "Stardew Valley",
    ],
    "maxReviewsPerApp": 200,
}

# Run the Actor and wait for it to finish
run = client.actor("wulfcare/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": [
    "1145360",
    "https://store.steampowered.com/app/440/Team_Fortress_2/",
    "Stardew Valley"
  ],
  "maxReviewsPerApp": 200
}' |
apify call wulfcare/steam-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,wulfcare/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/ivJukh62TBZMwpUuK/builds/ONIRCJqk9P43laS2y/openapi.json