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

Search the Steam store by keyword and get priced game rows: title, app ID, current price, discount, currency and capsule image. No account, no login.

- **URL**: https://apify.com/apt\_marble/steam-store-search-scraper.md
- **Developed by:** [Hamza](https://apify.com/apt_marble) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 result scrapeds

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?

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

Find every game the Steam store returns for your keywords — priced, linked
and ready to compare. Type words like `survival crafting` or `pixel roguelike`
and each match comes back as a clean row with its current price, discount and
store link. Built for deal hunters, market researchers, curators and anyone
building a game catalog without copy-pasting from store pages.

No Steam account needed. No login. Nothing to install — paste keywords, run,
download the table.

### What you get

One row per matching game, per search term. Every field is a plain column:

| Field | What it is |
| --- | --- |
| `appId` | The game's Steam app ID (stable, use it as your key) |
| `url` | Direct link to the game's store page |
| `title` | Game title exactly as listed |
| `imageUrl` | Capsule artwork URL, ready to hotlink or download (`null` when the store lists none) |
| `price` | Current price in store currency (0 for free games) |
| `initialPrice` | Price before discount (`null` when never discounted) |
| `discountPct` | Discount percentage (0 when full price) |
| `priceCurrency` | Currency code, e.g. USD, EUR, GBP |
| `isFree` | `true` for free-to-play titles (`null` when no price is listed yet) |
| `released` | Release date as shown, e.g. `21 Aug, 2023` (`Coming soon` for unreleased) |
| `reviewSummary` | Overall player verdict, e.g. `Very Positive` (`null` when unrated) |
| `reviewCount` | Number of player reviews behind the verdict |
| `term` | Which of your keywords produced this row |
| `scrapedAt` | When the row was read (ISO timestamp) |

Full real example row:

```json
{
  "appId": "440",
  "url": "https://store.steampowered.com/app/440/Team_Fortress_2/",
  "title": "Team Fortress 2",
  "imageUrl": "https://shared.akamai.steamstatic.com/store_item_assets/steam/apps/440/capsule_231x87.jpg",
  "price": 4.99,
  "initialPrice": 9.99,
  "discountPct": 50,
  "priceCurrency": "EUR",
  "isFree": false,
  "released": "10 Oct, 2007",
  "reviewSummary": "Very Positive",
  "reviewCount": 1204,
  "term": "shooter"
}
```

### Input options

- `terms` — Keywords to search, one per line. Each term returns its own
  result set, so `terms` doubles as your category list. Up to 50 terms per run.
- `maxResults` — How many games to keep per term (1–500, default 100).
  The store total is respected automatically: asking for 500 on a term with
  37 matches returns 37.
- `country` — Country prices are shown in (default US). Use GB, DE, FR…
  to see regional pricing.
- `maxConcurrency` — How many terms to search at once (1–3, default 2).
- `proxyCountry` — Request region (default `us`). Leave it unless results look regionally wrong.

### What you can do with it

- **Find every game in a niche.** Search each keyword and list what the store actually returns, priced and linked.
- **Prospect competitors.** Pull titles, prices and discounts across rival games in one run.
- **Stock a deals shortlist.** Filter result sets by discount percentage before a sale event.
- **Feed a site or spreadsheet.** Every field is a plain column — export to Excel, Google Sheets, CSV or JSON in one click.

### How much it costs

You pay per result row ($0.0010): 1,000 games cost $1.00. Some typical runs:

- 5 keywords × 100 results = 500 rows ≈ **$0.50**
- A daily category sweep of 10 terms × 100 = 1,000 rows ≈ **$1.00 per run**
- A one-off niche map of 3 terms × 50 = 150 rows ≈ **$0.15**

Terms with zero matches are listed in the run summary and never charged.

### Limits & good to know

- 50 search terms and 500 results per term, per run. Split bigger jobs across runs or schedules.
- Result order follows the store's own ranking for your keyword.
- Prices move with sales and regions — re-run or schedule for fresh numbers.
- Removed or unlisted games simply don't appear in results.
- Unreleased (coming-soon) games carry no price yet: `price`, `discountPct`
  and `isFree` come back `null` rather than a guessed value, so filter on
  `price != null` when you only want buyable games.

### FAQ

- **Do I need a Steam account?** No. Nothing to log into, no key to paste.
- **Which currency will I see?** Whatever `country` you set. Prices match the storefront for that country.
- **A keyword returned nothing — was I charged?** No. Empty terms appear in the run summary as failed/unreadable and cost nothing.
- **Can I run this daily?** Yes — Apify schedules re-run it automatically, and each run costs only its own rows.
- **How do I get the data out?** The dataset exports to Excel, CSV, JSON or Google Sheets in one click, or via API.

### Output

Results land in the default dataset, one clean record per row, plus a run
summary in the key-value store (`OUTPUT`) with per-term counts and any
terms that returned nothing.

# Actor input Schema

## `terms` (type: `array`):

Keywords to search, one per line. Each term returns its own result set, up to 50 terms per run.

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

Upper bound of game rows kept per term (up to 500).

## `country` (type: `string`):

Two-letter country code used for regional content and prices (e.g. US, GB, DE).

## `maxConcurrency` (type: `integer`):

How many terms to search at the same time.

## `proxyCountry` (type: `string`):

Two-letter region code for routing reads (e.g. us, gb, de). Leave as us unless results look regionally wrong.

## Actor input object example

```json
{
  "terms": [
    "survival"
  ],
  "maxResults": 10,
  "country": "US",
  "maxConcurrency": 2,
  "proxyCountry": "us"
}
```

# Actor output Schema

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

Every row you asked for, as clean records.

## `runSummary` (type: `string`):

Counts per input, including anything that could not be read.

# 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 = {
    "terms": [
        "survival"
    ],
    "maxResults": 10,
    "country": "US",
    "maxConcurrency": 2,
    "proxyCountry": "us"
};

// Run the Actor and wait for it to finish
const run = await client.actor("apt_marble/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 = {
    "terms": ["survival"],
    "maxResults": 10,
    "country": "US",
    "maxConcurrency": 2,
    "proxyCountry": "us",
}

# Run the Actor and wait for it to finish
run = client.actor("apt_marble/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 '{
  "terms": [
    "survival"
  ],
  "maxResults": 10,
  "country": "US",
  "maxConcurrency": 2,
  "proxyCountry": "us"
}' |
apify call apt_marble/steam-store-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,apt_marble/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/dLTUWWuho6w1ec4Pk/builds/sqV1NV9YbA8tVY4G2/openapi.json