# Steam Games Scraper (`dami_studio/steam-scraper`) Actor

Scrapes Steam game data without an API key: search games by name, pull full store details (price, genres, developers, Metacritic, platforms) plus SteamSpy owner/review stats, or fetch recent player reviews. Returns normalized JSON for catalog, pricin

- **URL**: https://apify.com/dami\_studio/steam-scraper.md
- **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community)
- **Categories:** E-commerce, Integrations, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

$2.00 / 1,000 item 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/platform/actors/running/actors-in-store#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 Games Scraper

Scrape Steam games using **public, no-key endpoints** — no login, no API key. Three modes, normalized JSON output, charged per successful row only.

### Modes

| Mode | Needs | Returns |
|------|-------|---------|
| `search` | `query` (game name) | `{ appId, name, icon }` |
| `app` | `appIds` (numeric ids) | full store details + SteamSpy stats |
| `reviews` | `appIds` (numeric ids) | recent player reviews |

### Input

| Field | Type | Default | Notes |
|-------|------|---------|-------|
| `mode` | string | `search` | `search` | `app` | `reviews` |
| `query` | string | — | game name (search mode) |
| `appIds` | array of numeric ids | — | e.g. `["400","620"]` (app/reviews modes) |
| `maxItems` | integer | `50` | max output rows |
| `proxyConfiguration` | object | `{ "useApifyProxy": false }` | optional; the APIs are public so a proxy is usually unnecessary |

Typical flow: run `search` to find app ids, then `app` and/or `reviews` with those ids.

### Output

**search** → `{ appId, name, icon }`

**app** → `{ appId, name, type, isFree, price, discountPct, developers, publishers, genres, categories, releaseDate, metacriticScore, recommendations, owners, positiveReviews, negativeReviews, shortDescription, headerImage, platforms, url }`

**reviews** → `{ appId, reviewId, review, votedUp, votesUp, playtimeForeverMin, gamesOwned, createdAt, url }`

`url` is always `https://store.steampowered.com/app/{appId}`. Successful rows are flagged `ok:true`. Failures/empty results are pushed as `ok:false` diagnostic rows (`errorCode` of `BAD_INPUT` / `NO_RESULTS` / `NOT_FOUND` / `RATE_LIMITED` / `NETWORK`) and are **never charged**.

### Data sources

- Name search — `steamcommunity.com/actions/SearchApps`
- App details — `store.steampowered.com/api/appdetails`
- Owner/review stats — `steamspy.com/api.php`
- Reviews — `store.steampowered.com/appreviews` (cursor-paginated)

# Actor input Schema

## `mode` (type: `string`):

What to scrape. "search" finds apps by name (needs query). "app" returns full store details + SteamSpy stats for given app ids. "reviews" returns recent player reviews for given app ids.

## `query` (type: `string`):

Game name to search for in "search" mode, e.g. "portal" or "counter strike". Ignored in app/reviews modes.

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

List of numeric Steam app ids to fetch in "app" or "reviews" mode, e.g. \["400","620"] (Portal, Portal 2). Use search mode first to find app ids. Ignored in search mode.

## `maxItems` (type: `integer`):

Maximum number of output rows to return (apps in search mode, app rows in app mode, reviews total in reviews mode). Charged per successful row only.

## `notionConnector` (type: `string`):

Optional. Write each item as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless.

## `notionParentId` (type: `string`):

Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead.

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

OPTIONAL. The Steam store, community and SteamSpy endpoints are public, no-auth JSON APIs with no anti-bot, so no proxy is needed and the default routes traffic directly (saving proxy credits). Only enable Apify Proxy if you hit IP rate limits at very high volume.

## Actor input object example

```json
{
  "mode": "search",
  "query": "portal",
  "appIds": [
    "400",
    "620"
  ],
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

Scraped rows are stored in the default dataset (one row per result). Blocked/empty/error runs return a single uncharged diagnostic row instead.

# 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 = {
    "query": "portal",
    "appIds": [
        "400",
        "620"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("dami_studio/steam-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 = {
    "query": "portal",
    "appIds": [
        "400",
        "620",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("dami_studio/steam-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "portal",
  "appIds": [
    "400",
    "620"
  ]
}' |
apify call dami_studio/steam-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=dami_studio/steam-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/fzwiefDADS6mbnUBp/builds/uNr7cC5nsVUKRtrUH/openapi.json