# Steam Game Reviews Scraper (`gubidonius/steam-reviews`) Actor

Reads Steam game reviews with playtime, votes and author history. Steam has two defaults that each narrow what you get, language and purchase type, and its own total shrinks to match. Apex Legends reports 1,044 reviews that way and has 1,066,930. This asks for all of both. No key, no login.

- **URL**: https://apify.com/gubidonius/steam-reviews.md
- **Developed by:** [Gregory Bolshakov](https://apify.com/gubidonius) (community)
- **Categories:** E-commerce, Social media, MCP servers
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Steam Game Reviews Scraper

Reads reviews for any Steam game. You get the review text, whether it was positive, the
author's playtime in minutes, how many games they own, helpful and funny votes, and whether
they bought the game on Steam. As JSON, CSV or Excel.

No API key and no login.

### Steam has two defaults, and together they hide most of the reviews

Call Steam's review endpoint yourself and two parameters you never set decide how much you
get back. Both of them narrow. The part that makes it hard to catch is that Steam's own
review count shrinks to match, so the total it reports and the rows it hands you agree with
each other, and both are small.

Leave `language` off and you get English only.

Leave `purchase_type` off and you get only the people who bought a copy on Steam. For a
game that has always been free, almost nobody did.

I measured this on 1 September 2026.

Apex Legends with both defaults reports 1,044 reviews. It has 1,066,930. That is one tenth
of one percent. Dota 2 reports 6,120 and has 2,769,905. Warframe reports 1,145 and has
675,784. Team Fortress 2 reports 27,450 and has 1,249,208.

Paid games lose less, because their reviewers did buy on Steam. Red Dead Redemption 2
reports 310,939 with both defaults and has 912,868. Counter-Strike 2 reports 1,501,705 and
has 9,831,048.

The language default on its own is the smaller of the two. English is 36% of Red Dead 2's
reviews, 30% of Dota 2's and 27% of Counter-Strike 2's. Across fourteen games I checked the
median was 42%.

This Actor asks for every language and every purchase type by default. Narrow either one on
purpose and every row still says what it cost you. `gameCoverage` is the share of the game's
reviews your query could reach with both counted together. `languageCoverage` and
`purchaseTypeCoverage` split that between the two, each holding the other still, so read
them one at a time and do not multiply them.

It matters more than it sounds. Ask Apex Legends for Russian reviews from Steam buyers and
you get 89 reviews, and the walk finishes, and Steam agrees there are 89. The game has
1,066,930.

### Ordering

`recent` walks by date posted and is the only order that pages cleanly. `updated` walks by
last edit, which is a different order because people edit reviews. `all` is Steam's
relevance order and can hand you the same review twice across pages, so this Actor drops
repeats and counts them.

### Completeness

`reviewsComplete` is true only when the walk reached the end of what Steam serves. Asking
for 500 reviews and getting 500 is reported as `maxReviews`, never as complete.

### Cost

Pay per event, priced on the Actor page. A run that returns nothing is free, because
nothing is charged until rows are written to your dataset.

# Actor input Schema

## `apps` (type: `array`):

App ids or store URLs, for example 1174180 or https://store.steampowered.com/app/1174180/.

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

all is the default here and is not Steam's. Leaving this off when calling Steam directly returns English only, which was 27% of Counter-Strike 2's reviews and 36% of Red Dead 2's when measured on 1 September 2026, and Steam's own total shrinks to match so nothing looks wrong. Set a single language such as english or russian to narrow deliberately, and languageCoverage on every row will say what share you are seeing.

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

recent walks by date posted and is the only order that pages deterministically. updated walks by last edit. all is Steam's relevance order and can repeat rows across pages.

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

Positive, negative or both.

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

all is the default here and is not Steam's. Steam defaults to steam, which keeps only the people who bought a copy on Steam, and on a game that has always been free almost nobody did. Measured on 1 September 2026, steam gives 1,581 of Apex Legends' 1,066,930 reviews and 14,379 of Dota 2's 2,769,905. Paid games lose far less, 839,695 of Red Dead 2's 912,868. Set steam only when you want verified Steam purchases and accept that cost.

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

Limits to reviews written in the last N days. Steam applies this only with the recent and updated orders.

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

Stop after this many per game. Being stopped here is reported as maxReviews, which is not the same as the game running out of reviews.

## `maxRequestsPerApp` (type: `integer`):

Ceiling on requests per game. Each request returns up to 100 reviews.

## Actor input object example

```json
{
  "apps": [
    "1174180"
  ],
  "language": "all",
  "filter": "recent",
  "reviewType": "all",
  "purchaseType": "all",
  "maxReviewsPerApp": 500,
  "maxRequestsPerApp": 60
}
```

# Actor output Schema

## `results` (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 = {
    "apps": [
        "1174180"
    ],
    "language": "all"
};

// Run the Actor and wait for it to finish
const run = await client.actor("gubidonius/steam-reviews").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 = {
    "apps": ["1174180"],
    "language": "all",
}

# Run the Actor and wait for it to finish
run = client.actor("gubidonius/steam-reviews").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 '{
  "apps": [
    "1174180"
  ],
  "language": "all"
}' |
apify call gubidonius/steam-reviews --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gubidonius/steam-reviews"
        }
    }
}

```

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/bUx0GbwEImMUmNH9U/builds/KAXjlyUPsXrv4kuhu/openapi.json