# Steam Games Scraper (`scrapers_lat/steam-games-scraper`) Actor
Scrape Steam store game data: price, discount, release date, developers, publishers, genres, categories, platforms, Metacritic score, review count, description and artwork. Search by keyword or app ID and pick a pricing region. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/steam-games-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** E-commerce, Business, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $6.80 / 1,000 results
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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).
If your project is in a different language, use 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
> Pull structured game data from the Steam store in one run: price and discount, release date, developers and publishers, genres, platforms, Metacritic score, review counts, description and artwork. Search by keyword or app ID, choose a pricing region, and export clean data for research, price tracking and catalogs.
**๐ฅ [Input](https://apify.com/scrapers_lat/steam-games-scraper/input-schema) ยท ๐ค [Output](https://apify.com/scrapers_lat/steam-games-scraper/output-schema) ยท ๐ฐ [Pricing](https://apify.com/scrapers_lat/steam-games-scraper/pricing) ยท โถ๏ธ [Examples](https://apify.com/scrapers_lat/steam-games-scraper/examples)**
Price & discount in your region
Metacritic & reviews plus genres and platforms
JSON / CSV / Excel output formats
### What you get
Each record is one Steam game, ready for a spreadsheet, a price tracker or a catalog:
- **name**, **appId**, **type** and **url**: the title, its Steam ID and a direct store link
- **isFree**, **priceInitial**, **priceFinal**, **discountPercent**, **priceCurrency**, **priceFormatted**: full pricing in your chosen region
- **releaseDate** and **comingSoon**: launch date and unreleased flag
- **developers** and **publishers**: the studios behind the game
- **genres** and **categories**: genres plus store features (multiplayer, controller support, cloud saves and more)
- **platformWindows**, **platformMac**, **platformLinux**: supported platforms
- **metacriticScore** and **metacriticUrl**: critic score and link
- **recommendationsTotal**: number of user recommendations/reviews
- **shortDescription** and **headerImage**: summary text and header artwork
- **requiredAge**: minimum age
- **countryCode**, **query** and **observedAt**: the region used, the search that found it, and freshness
### Who is it for
| Use case | Who benefits |
|---|---|
| Price tracking | Deal sites and shoppers watching discounts across regions |
| Market research | Studios and analysts sizing genres, ratings and platforms |
| Catalogs and apps | Builders populating game databases and recommendation tools |
| Content | Writers and creators pulling release dates, scores and descriptions |
### How to use it
1. Add one or more **search queries** (game titles or keywords), or paste specific **Steam app IDs**.
2. Set a **country code** for the pricing region and currency (for example `us`, `gb`, `br`, `de`).
3. Set **Max Games** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.
You are only charged for real game records. Empty runs cost nothing.
### Frequently Asked Questions
**How do I target an exact game?**
Paste its Steam app ID (the number in the store URL, for example 730). App IDs are exact; search queries return the best matches for the keyword.
**Can I get prices in my currency?**
Yes. Set the country code to your region and prices come back in that region's currency, with the current discount applied.
**Does it include free-to-play games?**
Yes. Free titles are returned with `isFree` set to true and a `priceFormatted` of "Free".
**How fresh is the data?**
Prices, discounts, scores and review counts are read live at run time, so each record reflects the store at the moment of the run (see observedAt).
### Related scrapers
- [Polymarket Prediction Markets & Odds Scraper](https://apify.com/scrapers_lat/polymarket-markets-scraper)
- [App Store Reviews Scraper](https://apify.com/scrapers_lat/app-store-reviews-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Steam or Valve. It only accesses publicly available store data. Use the results in accordance with the source's terms.
# Actor input Schema
## `searchQueries` (type: `array`):
Game titles or keywords to look up on the Steam store, one per line (for example 'portal', 'baldur's gate', 'stardew valley'). Each query is resolved to matching Steam games.
## `appIds` (type: `array`):
Optional. Specific Steam app IDs to fetch directly (the number in a store URL, for example 730 for store.steampowered.com/app/730). One per line.
## `countryCode` (type: `string`):
Two-letter country code used for the pricing region and currency (for example 'us', 'gb', 'br', 'de', 'mx').
## `maxGames` (type: `integer`):
Maximum number of games to collect across all queries and app IDs. Optional.
## Actor input object example
```json
{
"searchQueries": [
"portal",
"elden ring",
"counter-strike"
],
"countryCode": "us",
"maxGames": 30
}
````
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"searchQueries": [
"portal",
"elden ring",
"counter-strike"
],
"maxGames": 30
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/steam-games-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"searchQueries": [
"portal",
"elden ring",
"counter-strike",
],
"maxGames": 30,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/steam-games-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchQueries": [
"portal",
"elden ring",
"counter-strike"
],
"maxGames": 30
}' |
apify call scrapers_lat/steam-games-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/steam-games-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Steam Games Scraper",
"description": "Scrape Steam store game data: price, discount, release date, developers, publishers, genres, categories, platforms, Metacritic score, review count, description and artwork. Search by keyword or app ID and pick a pricing region. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "rAFIELEtOPf3aNlQg"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~steam-games-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-steam-games-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~steam-games-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-steam-games-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~steam-games-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-steam-games-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"searchQueries": {
"title": "Search Queries",
"type": "array",
"description": "Game titles or keywords to look up on the Steam store, one per line (for example 'portal', 'baldur's gate', 'stardew valley'). Each query is resolved to matching Steam games.",
"items": {
"type": "string"
}
},
"appIds": {
"title": "Steam App IDs",
"type": "array",
"description": "Optional. Specific Steam app IDs to fetch directly (the number in a store URL, for example 730 for store.steampowered.com/app/730). One per line.",
"items": {
"type": "string"
}
},
"countryCode": {
"title": "Country Code (pricing region)",
"type": "string",
"description": "Two-letter country code used for the pricing region and currency (for example 'us', 'gb', 'br', 'de', 'mx').",
"default": "us"
},
"maxGames": {
"title": "Max Games To Scrape",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of games to collect across all queries and app IDs. Optional."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```