# Steam Games & Reviews Scraper — Sentiment & Prices (`fortunate_sourdough/steam-game-reviews-intel`) Actor

Scrape Steam store search, game details and player reviews via public storefront JSON. Sentiment, pricing and review intelligence without proxies.

- **URL**: https://apify.com/fortunate\_sourdough/steam-game-reviews-intel.md
- **Developed by:** [phi](https://apify.com/fortunate_sourdough) (community)
- **Categories:** Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## 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 Games & Reviews Scraper

Scrape **Steam game data and user reviews** through Valve's public storefront JSON endpoints: search results, full app details (prices, genres, tags, metacritic), and multilingual user reviews with sentiment-ready fields. No login, no Steam API key, no proxies.

### Why this actor

- 🎮 **Low-competition niche** — far fewer actors cover Steam than Twitter/Instagram, but demand from indie devs, publishers and gaming media is steady
- 🔓 **Zero keys** — Valve's `storesearch`, `appdetails` and `appreviews` JSON endpoints are public
- 💬 **Review intelligence** — recent-review sentiment is the single best signal for launch tracking and post-patch monitoring
- 🌍 **Multilingual** — pull reviews per language/region for global launch coverage
- 💰 **Pay-per-record** — charged only for records returned

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `searchTerm` | string | `hollow knight` | Store search query |
| `maxGames` | integer | `10` | Games to resolve from search (1–50) |
| `reviewsPerGame` | integer | `20` | Recent reviews per game (0–100) |
| `countryCode` | string | `US` | Pricing/store region |
| `language` | string | `english` | Review language |

#### Example

```json
{
  "searchTerm": "roguelike",
  "maxGames": 20,
  "reviewsPerGame": 50,
  "countryCode": "US",
  "language": "english"
}
```

### Example output

```json
{ "recordType": "game", "appid": 367520, "name": "Hollow Knight",
  "price": 14.99, "discount": 0, "genres": ["Action","Indie"],
  "positiveReviewPercent": 94, "reviewCount": 487 }
```

```json
{ "recordType": "review", "appid": 367520, "author": "Ghost",
  "recommended": true, "votesUp": 214, "text": "A masterpiece...",
  "created": "2026-09-01T12:00:00Z" }
```

### Use cases

- **Launch monitoring** — schedule daily runs; watch review % and volume after launch/patches
- **Competitor intel** — price history snapshots, discount cadence, genre positioning
- **Publisher reporting** — sentiment + review velocity dashboards per title
- **Community tools** — "is it worth buying now?" bots using recent-review health

### Notes

- Record types: `game` (search hit + details merged) and `review` (one per review).
- Steam rate-limits politely; the actor paces requests automatically — large runs are fine, just slower.
- Prices reflect the selected `countryCode` store; use the region your buyers care about.

# Actor input Schema

## `searchTerm` (type: `string`):

Find games by name/keyword (uses Steam store search).

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

Optional list of Steam app IDs to fetch reviews for directly (skips search).

## `reviewsPerGame` (type: `integer`):

Number of reviews to fetch per game (0 = skip reviews, max 500).

## `reviewFilter` (type: `string`):

Steam review ranking filter.

## `countryCode` (type: `string`):

ISO country code for prices, e.g. US, DE, JP.

## Actor input object example

```json
{
  "searchTerm": "hollow knight",
  "reviewsPerGame": 20,
  "reviewFilter": "recent",
  "countryCode": "US"
}
```

# 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 = {
    "searchTerm": "hollow knight",
    "countryCode": "US"
};

// Run the Actor and wait for it to finish
const run = await client.actor("fortunate_sourdough/steam-game-reviews-intel").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 = {
    "searchTerm": "hollow knight",
    "countryCode": "US",
}

# Run the Actor and wait for it to finish
run = client.actor("fortunate_sourdough/steam-game-reviews-intel").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 '{
  "searchTerm": "hollow knight",
  "countryCode": "US"
}' |
apify call fortunate_sourdough/steam-game-reviews-intel --silent --output-dataset

```

## MCP server setup

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

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/eJ6wfLXQF7RbEN7PX/builds/3aY8K1kddLm5WGg7G/openapi.json