# Steam Games Data Scraper (`parselab/steam-games-data-scraper`) Actor

Scrape Steam games by keyword, tag, price and discount, or look them up by name. Get prices in any country, deals, review scores, tags, languages, Steam Deck status and players online. Also download player reviews, the most played chart and game news. Export to CSV or Excel.

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

## Pricing

from $12.00 / 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/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 Games Data Scraper

This Steam scraper finds games in the Steam store and returns clean rows with the price, discount, review score, tags, languages, Steam Deck status and much more. Search by keyword, tag, price, discount or review score, look up games by name, download player reviews, read the most played chart or collect the latest news of any game.

A game row already carries what you would otherwise combine from several pages: the current price and the original price in the currency of the country you choose, every edition and bundle with its own discount, the review label, the percent of positive reviews and the review count, the developer and publisher, the release date, the tags by name, supported and fully voiced languages, feature flags such as single player, co-op, achievements and cloud saves, and the Steam Deck compatibility. You can add players online right now and the full store details on top.

Game studios, publishers, deal hunters, market researchers, journalists and content creators use it to find deals, follow competitors and study what players say.

### What can you do with this Steam scraper?

- Find Steam games on sale with a minimum discount and a minimum review score
- Search games by tag, for example every roguelike under 15 dollars
- Compare Steam prices across countries
- See the most played games right now and how their rank changed since last week
- List new releases by month
- Download the negative reviews of a game from the last 30 days
- Get the most helpful reviews of a competitor's game
- See how many hours a reviewer had played when they wrote the review
- Check which games are verified for Steam Deck
- Follow patch notes and announcements of a game
- Export Steam data to CSV or Excel

### What data can you extract from Steam?

| Mode | One row is | Highlights |
|---|---|---|
| Search games | One game | Name, link, short description, developers, publishers, release date, price, original price, discount, editions, review label, positive percent, review count, tags, platforms, Steam Deck status, feature flags, languages, age rating, website |
| Look up games | One game | Same fields for the games you name, plus optional players online now and full store details |
| Player reviews | One review | Review text, word count, recommended or not, votes, funny votes, helpfulness score, comments, purchase type, playtime in total and at review time, games owned, developer response, dates |
| Charts | One game in a chart | Rank, last week rank and change, peak players last week, players now, plus the store fields |
| Game news | One announcement | Title, feed, date, text, link, tags such as patchnotes |

Optional full store details add genres, the Metacritic score, the number of achievements, system requirements, screenshots, trailers, downloadable content and the support contact.

### How to scrape Steam

1. Choose **What to collect**, for example Search games.
2. Add a keyword or tags, and filters such as maximum price, minimum discount or minimum positive reviews.
3. Pick the store country to see prices in that currency.
4. Set **Max Items** and click **Start**.
5. Export the dataset as CSV, Excel or from the Apify console.

### Input example

```json
{
  "mode": "search",
  "tags": ["Roguelike"],
  "onlyDiscounted": true,
  "minReviewPct": 90,
  "maxPriceUsd": 15,
  "maxItems": 50
}
```

### Game output example

```json
{
  "appId": 1145360,
  "name": "Hades",
  "developers": ["Supergiant Games"],
  "releaseDate": "2020-09-17T14:38:27.000Z",
  "finalPriceUsd": 6.24,
  "originalPriceUsd": 24.99,
  "discountPct": 75,
  "editions": [
    { "name": "Hades", "priceUsd": 6.24, "discountPct": 75 },
    { "name": "Hades + Hades II", "priceUsd": 33.04, "discountPct": 51 }
  ],
  "reviewScoreLabel": "Overwhelmingly Positive",
  "reviewPositivePct": 97,
  "reviewCount": 286167,
  "tags": ["Action Roguelike", "Roguelite", "Hack and Slash", "Indie"],
  "steamDeckCompatibility": "verified",
  "singlePlayer": true,
  "achievements": true,
  "cloudSaves": true
}
```

### Review output example

```json
{
  "recommendationId": "236417250",
  "gameName": "ELDEN RING",
  "language": "english",
  "review": "no widescreen support, unlimited fps in 2026. refund",
  "wordCount": 8,
  "votedUp": false,
  "votesUp": 0,
  "helpfulnessScore": 0.5,
  "steamPurchase": true,
  "createdAt": "2026-09-28T18:22:37.000Z",
  "reviewerPlaytimeAtReviewHours": 0.5,
  "reviewerGamesOwned": 0
}
```

### How much does it cost to scrape Steam?

You pay per result: $16 per 1,000 rows plus a tiny start fee. The free plan returns up to 10 rows per run. Store data and reviews come in batches, so a search of a few hundred games finishes in a minute or two.

### Tips for better results

- Tags work by name, for example `Roguelike` or `Souls-like`. A game must have all the tags you list.
- Prices follow the store country. Change the country code to compare prices in another currency. The price fields keep their names in every currency.
- Full store details and players online need extra requests per game, and Steam limits how fast they can be made. Turn them on only when you need them. The Actor waits and retries when Steam asks it to slow down.
- Reviews do not include reviewer names or profile links. You get playtime, games owned and the number of reviews written, which is enough to weigh an opinion.
- For a language filter in reviews mode, enter a Steam language name such as english or spanish. Leave it empty to get all languages.

### Who uses Steam data?

- **Deal hunters and newsletters** publish the best discounts every day.
- **Studios and publishers** follow competitors, pricing and player feedback.
- **Researchers and journalists** study trends, genres and review patterns.
- **Developers** power price trackers, Discord bots and dashboards.

### Automate and connect

Schedule the Actor every day to catch new discounts, or every hour during a sale to watch prices. Send finished datasets to Google Sheets, Zapier, Make or n8n, or trigger a webhook when a run ends.

### FAQ

**Do I need a Steam account?**
No. The Actor works without any login.

**Does it include reviewer names?**
No. Reviewer names and profile links are left out on purpose.

**Why are some prices empty?**
Free games and games that are not for sale in the chosen country have no price.

**Can I get the player count history?**
No. You get the number of players right now and the peak of last week for the most played games.

**Does it cover software, not only games?**
Yes. Turn on the option to include software and other items in search.

### Legal note

This Actor collects information that is publicly visible on the website. Check the source site's terms and your local rules before using the data. It is not affiliated with Valve or Steam.

### Support

Missing a field or found a bug? Open an issue from the Actor page.

# Actor input Schema

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

Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000.

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

Search finds games by keyword, tags and price. Apps looks up games by name or id. Reviews returns player reviews. Charts returns the most played games or the top releases. News returns the latest announcements of games.

## `searchTerm` (type: `string`):

Keyword to search in the store, for example survival. Leave empty to browse with the filters only.

## `tags` (type: `array`):

Store tags such as RPG, Roguelike, Co-op, Souls-like or Cozy. A game must have all the tags. You can also enter tag ids.

## `sortBy` (type: `string`):

Order of the search results.

## `onlyDiscounted` (type: `boolean`):

Keep only games with a discount right now.

## `minDiscountPct` (type: `integer`):

Keep only games discounted by at least this percent.

## `maxPriceUsd` (type: `number`):

Keep only games whose current price is at most this amount, in the currency of the chosen country.

## `minReviewPct` (type: `integer`):

Keep only games where at least this percent of reviews are positive.

## `minReviewCount` (type: `integer`):

Keep only games with at least this many reviews, to skip games with too few opinions.

## `platforms` (type: `array`):

Search only games for one platform: win, mac or linux. Use one value.

## `includeSoftware` (type: `boolean`):

Search returns games only by default. Turn this on to include software, tools and other items.

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

Steam game ids such as 1245620, or store links. Used in look up, reviews and news modes.

## `appNames` (type: `array`):

Game names such as Hades or Elden Ring. The Actor finds the matching game. Used in look up, reviews and news modes.

## `fullDetails` (type: `boolean`):

Add genres, Metacritic score, achievements, system requirements, screenshots, trailers and downloadable content. It is slower because Steam limits these requests.

## `includeCurrentPlayers` (type: `boolean`):

Add the number of players in the game right now. One extra request per game.

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

Two letter country code that sets prices and currency, for example US, GB, DE, BR or JP.

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

Language of store texts and the language of reviews, for example english, spanish, german, french or schinese. In reviews mode, leave it empty to get all languages.

## `reviewType` (type: `string`):

Reviews mode: all reviews, only positive or only negative.

## `reviewOrder` (type: `string`):

Reviews mode: newest first, recently updated, or most helpful.

## `daysRange` (type: `integer`):

Reviews mode: only reviews written in the last this many days. Used with the most helpful order too, where the default is 365.

## `purchaseType` (type: `string`):

Reviews mode: all reviews, only from Steam purchases, or only from other sources such as keys.

## `chart` (type: `string`):

Charts mode: the 100 most played games right now, or the top releases by month.

## `newsPerApp` (type: `integer`):

News mode: how many announcements to return for each game.

## Actor input object example

```json
{
  "maxItems": 10,
  "mode": "search",
  "sortBy": "Reviews_DESC",
  "onlyDiscounted": false,
  "includeSoftware": false,
  "fullDetails": false,
  "includeCurrentPlayers": false,
  "country": "US",
  "reviewType": "all",
  "reviewOrder": "recent",
  "purchaseType": "all",
  "chart": "mostPlayed",
  "newsPerApp": 10
}
```

# Actor output Schema

## `overview` (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 = {
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("parselab/steam-games-data-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 = { "maxItems": 10 }

# Run the Actor and wait for it to finish
run = client.actor("parselab/steam-games-data-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 '{
  "maxItems": 10
}' |
apify call parselab/steam-games-data-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,parselab/steam-games-data-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/9UKf5ELBSUNQRXdyJ/builds/Cj7TxsXuXBIzHrBbh/openapi.json