# Steam Scraper — Games, Prices & Reviews API (`joey001/steam-scraper`) Actor

Scrape the Steam store: search games, then pull full app details (price, discount, genres, platforms, release date, Metacritic, screenshots, DLC) and player reviews with vote counts and playtime. Cursor-paginated, de-duplicated, normalized, with provenance on every row.

- **URL**: https://apify.com/joey001/steam-scraper.md
- **Developed by:** [Joe Y](https://apify.com/joey001) (community)
- **Categories:** Games, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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 Scraper — Games, Prices & Reviews (No Login)

Scrape the **Steam store**: search for games, pull **full app details** and collect **player reviews** — without logging in, without an API key and without a browser.

Every row is normalized, de-duplicated and carries provenance, ready for spreadsheets, databases, dashboards or LLM pipelines.

### What you get

- **Store search** — give search terms and get matching games, each enriched with full details.
- **Direct apps** — pass app IDs or store URLs to fetch specific games.
- **Full details** — price + discount, genres, categories, platforms, release date, developers/publishers, Metacritic, recommendation counts, achievements, screenshots, DLC, languages.
- **Player reviews** — cursor-paginated, with votes, weighted score, playtime, purchase type and per-app review summary.

All rows live in one dataset, tagged by `record_type` (`game` or `review`).

### Output fields

**Games (`record_type: "game"`)**
| Field | Description |
|---|---|
| `app_id` / `name` / `app_type` | Identity |
| `release_date` / `is_coming_soon` / `required_age` | Release info |
| `developers` / `publishers` | Studios |
| `genres` / `categories` | Tags |
| `platforms_windows` / `platforms_mac` / `platforms_linux` | Platforms |
| `price_currency` / `price_initial` / `price_final` / `price_discount_percent` / `price_formatted` / `is_discounted` | Price (minor units, e.g. cents) |
| `metacritic_score` / `recommendations_total` / `achievements_total` | Scores & counts |
| `short_description` / `detailed_description` / `about_the_game` | Text (detail optional) |
| `header_image` / `capsule_image` / `background` / `screenshots` / `movie_count` / `dlc` | Media |
| `store_url` / `source_type` / `source_input` / `schema_version` / `fetched_at` | Provenance |

**Reviews (`record_type: "review"`)**
| Field | Description |
|---|---|
| `recommendation_id` / `app_id` | Identity |
| `review_text` / `language` / `voted_up` | Content |
| `votes_up` / `votes_funny` / `weighted_vote_score` / `comment_count` | Engagement |
| `timestamp_created` / `timestamp_updated` | ISO-8601 UTC + epoch |
| `steam_purchase` / `received_for_free` / `refunded` / `written_during_early_access` / `primarily_steam_deck` | Flags |
| `author_steamid` / `author_personaname` / `author_profile_url` / `author_num_games_owned` / `author_num_reviews` / `author_playtime_forever` / `author_playtime_at_review` | Author |
| `review_score_desc` / `review_score` / `total_positive` / `total_negative` / `total_reviews` | Summary |

### Use cases

- **Game market research** — pricing, discounts, genre trends, release cadence.
- **Publisher & studio analytics** — reception and sentiment per title.
- **Review sentiment / AI datasets** — clean, structured review text with metadata.
- **Price tracking & deal monitoring** — watch discounts across regions.
- **Player/author profiling** — playtime and ownership for market studies.

### Input

```json
{
  "searchQueries": ["co-op roguelike", "city builder"],
  "appIds": [1145360],
  "includeReviews": true,
  "maxReviewsPerApp": 200,
  "reviewFilter": "recent",
  "country": "US"
}
```

### Pricing

**Pay per result.** You are charged only for rows delivered to your dataset (games and reviews), plus a small per-run fee. No subscription, no minimum.

### Notes

- Uses Steam's public store endpoints (`/search/results/`, `/api/appdetails`, `/appreviews/`); `store.steampowered.com/robots.txt` allows these paths.
- De-duplicated across searches and app IDs.
- Steam occasionally rate-limits high request volumes; the Actor paces its requests. Intended for research and analytics — use in line with Steam's terms.

### Sample output

```json
{"record_type": "game", "app_id": 1145360, "name": "Hades", "release_date": "Sep 17, 2020", "price_final": 2499, "price_currency": "USD", "metacritic_score": 93, "recommendations_total": 287151}
```

### More actors by joey001

- [ATS Jobs Scraper](https://apify.com/joey001/ats-jobs-scraper) — Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee, Personio, Workday
- [Multi-Board Jobs Scraper](https://apify.com/joey001/multiboard-jobs-scraper) — RemoteOK, WeWorkRemotely, Arbeitnow, Adzuna, USAJobs in one schema
- [Reed.co.uk Scraper](https://apify.com/joey001/reed-scraper) — UK job listings, salaries, working options and apply links
- [Substack Scraper](https://apify.com/joey001/substack-scraper) — Newsletters, posts, full article bodies and metadata
- [Threads Scraper](https://apify.com/joey001/threads-scraper) — Posts, keyword search, profiles, engagement and media (no login)
- [Telegram Channel Scraper](https://apify.com/joey001/telegram-scraper) — Public channel messages, views, media, forwards and replies
- [CoinGecko Scraper](https://apify.com/joey001/coingecko-scraper) — Crypto prices, coin details, trending, search and history (no API key)
- [Apple Podcasts Scraper](https://apify.com/joey001/apple-podcasts-scraper) — Shows and full episode feeds with audio URLs and durations
- [SEC EDGAR Scraper](https://apify.com/joey001/sec-edgar-scraper) — Filings, XBRL financials, Form 4 insider trades and full-text search
- [Otodom Scraper](https://apify.com/joey001/otodom-scraper) — Poland real-estate listings (price, area, rooms, location)
- [Otto.de Scraper](https://apify.com/joey001/otto-scraper) — German marketplace products (price, brand, rating, availability)

### Found this useful?

A quick review helps a lot and keeps the Actor maintained:

**→ [Leave a review](https://apify.com/joey001/steam-scraper)** (Reviews tab)

# Actor input Schema

## `searchQueries` (type: `array`):

Steam store search terms, e.g. \["hades", "co-op roguelike", "factorio"]. Each result is enriched with full app details.

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

Specific Steam app IDs or store URLs to fetch, e.g. \[1145360, "https://store.steampowered.com/app/570/Dota_2/"]. Use alone or with searchQueries.

## `includeReviews` (type: `boolean`):

Also fetch player reviews for each app (cursor-paginated).

## `maxReviewsPerApp` (type: `integer`):

Cap on reviews collected per app (100 per page).

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

Which reviews: recent (default), updated, or all.

## `reviewLanguage` (type: `string`):

Language code for reviews, e.g. all (default), english, german, spanish.

## `reviewPurchaseType` (type: `string`):

all (default), steam (purchased on Steam) or non_steam_purchase.

## `includeDescriptions` (type: `boolean`):

Include the long detailed/about descriptions (adds sizeable text to each game row).

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

Two-letter store region for pricing, e.g. US, GB, DE.

## `language` (type: `string`):

Store language for names/descriptions, e.g. english, german.

## `maxResultsPerSearch` (type: `integer`):

Cap on games collected per search term.

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

Overall cap on rows (games + reviews) pushed to the dataset.

## Actor input object example

```json
{
  "includeReviews": false,
  "maxReviewsPerApp": 100,
  "reviewFilter": "recent",
  "reviewLanguage": "all",
  "reviewPurchaseType": "all",
  "includeDescriptions": false,
  "country": "US",
  "language": "english",
  "maxResultsPerSearch": 50,
  "maxItems": 100000
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("joey001/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 = {}

# Run the Actor and wait for it to finish
run = client.actor("joey001/steam-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 joey001/steam-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,joey001/steam-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/rMvX2F7lb08gTuOLy/builds/bGccT0TM4aWkEARWw/openapi.json