# Steam Store Search Scraper (`easyapi/steam-store-search-scraper`) Actor

🚀 Effortlessly scrape Steam game listings with our advanced Actor! 🎮 Collect comprehensive game data, including titles, prices, platforms, and reviews. Perfect for developers, marketers, and researchers seeking insights into the gaming market. 📊🕹️

- **URL**: https://apify.com/easyapi/steam-store-search-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Social media, SEO tools
- **Stats:** 13 total users, 0 monthly users, 100.0% runs succeeded, 3 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Store Search Scraper

This Actor scrapes game listings from the Steam store based on a given keyword search. It utilizes Puppeteer with stealth mode to navigate through search results and extract detailed information about Steam games.

### ✨ Features

- 🔍 Search for games on Steam using keywords
- 📊 Extract comprehensive game data including title, price, and platforms
- 🖼️ Collect game capsule images
- 📅 Gather release dates and review information
- 🔢 Configurable maximum number of results
- 🕵️‍♂️ Uses stealth mode to avoid detection
- 🔄 Automatic pagination through infinite scrolling

### 📥 Input

The Actor accepts the following input parameters:

- `keyword` (required): The search term to find games on Steam
- `maxResults` (optional): The maximum number of game listings to scrape (default: 100)

### 📤 Output

The Actor outputs a dataset containing the following information for each game:

- 🔗 Game URL
- 🖼️ Capsule image URL
- 📛 Game title
- 💻 Supported platforms
- 📅 Release date
- ⭐ Review result
- 👥 Number of reviews
- 💰 Price

### 🚀 Usage

To use this Actor, simply provide a search keyword and optionally set the maximum number of results. The Actor will then navigate through Steam's search results, collecting game information until it reaches the specified limit or exhausts all available results.

This Actor is perfect for game developers, marketers, or researchers looking to gather insights from Steam game listings.

### 💡 Use Cases

- 📊 Market Analysis: Track pricing trends and game popularity
- 🎯 Competitive Research: Monitor new releases and user reception
- 🔬 Genre Studies: Analyze game characteristics across different categories
- 💼 Business Intelligence: Gather data for informed decision-making in game development or publishing

### 🆘 Support

If you encounter any issues or have questions about using this Actor, please don't hesitate to reach out through Apify's support channels.

#### Input Example

A full explanation of an input example in JSON.

```
{
  "maxResults": 100,
  "keyword": "war"
}
```

#### Output sample

The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

```
[
	{
		"url": "https://store.steampowered.com/app/593380/XCOM_2_War_of_the_Chosen/?snr=1_7_7_151_150_2",
		"title": "XCOM 2: War of the Chosen",
		"platform": [
			"win",
			"mac",
			"linux"
		],
		"releaseDate": "4 Dec, 2018",
		"reviewResult": "Very Positive",
		"reviewNum": "82% of the 3,438 user reviews for this game are positive.",
		"price": "12,30€"
	},
	{
		"url": "https://store.steampowered.com/app/2974330/God_of_War_Ragnark__Digital_Deluxe_Edition_Upgrade/?snr=1_7_7_151_150_2",
		"title": "God of War Ragnarök - Digital Deluxe Edition Upgrade",
		"platform": [
			"win"
		],
		"releaseDate": "19 Sep, 2024",
		"reviewResult": "Positive",
		"reviewNum": "85% of the 28 user reviews for this game are positive.",
		"price": "69,99€"
	},
    ...
]
```

# Actor input Schema

## `keyword` (type: `string`):

Enter the keyword to search for games on the Steam store

## `maxResults` (type: `integer`):

Set the maximum number of game listings to scrape. The actor will stop when this limit is reached.

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

Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking.

## Actor input object example

```json
{
  "keyword": "war",
  "maxResults": 100,
  "proxyConfiguration": {}
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/steam-store-search-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("easyapi/steam-store-search-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 '{}' |
apify call easyapi/steam-store-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,easyapi/steam-store-search-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/d0A3JgFtWWfepwEBl/builds/XbXumKHB6nUaYWMKT/openapi.json