# Steam Scraper — Game Details, Prices & Reviews (`northbell/steam-scraper`) Actor

Scrape Steam games and reviews: price and discount, developer, publisher, release date, genres, platforms, Metacritic, review score with positive and negative counts, and the newest reviews with playtime and helpful votes. Search by name or paste store URLs. Only new reviews since your last run.

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

## Pricing

from $1.20 / 1,000 games

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 Scraper — Game Details, Prices & Reviews

Get **Steam** games as clean JSON — **price and discount, developer, publisher, release date, genres, platforms, Metacritic score**, and the **review score with positive and negative counts** — and optionally their **newest reviews** with the text, recommendation, playtime and helpful votes. Paste store URLs or search by name. Schedule it with *Only new reviews* for a daily feed of what players are saying.

### What you get

| Row | Fields |
|---|---|
| `game` | `appId`, `name`, `url`, `isFree`, `price`, `originalPrice`, `discountPercent`, `currency`, `developers`, `publishers`, `releaseDate`, `comingSoon`, `genres`, `categories`, `platforms`, `metacriticScore`, `recommendations`, `reviewScore`, `totalReviews`, `positiveReviews`, `negativeReviews`, `positivePercent`, `shortDescription`, `website`, `headerImage`, `dlcCount` |
| `review` | `gameName`, `recommended`, `review`, `language`, `createdAt`, `updatedAt`, `votesHelpful`, `votesFunny`, `weightedScore`, `comments`, `boughtOnSteam`, `receivedForFree`, `earlyAccess`, `steamDeck`, `playtimeAtReviewHours`, `playtimeTotalHours`, `isNewSinceLastRun` |

Reviewer Steam IDs, names, profiles and avatars are **not** collected.

### Use it for

- **Game market research** — prices, discounts, genres and review scores for a list of games or a search
- **Player feedback** — the newest negative reviews after a patch, with playtime to tell veterans from newcomers
- **Price and sale tracking** — schedule it during sales and record discounts per country
- **AI analysis** — review text in any language for sentiment and topic tagging

### Input

```json
{ "games": ["https://store.steampowered.com/app/620/Portal_2/"], "searches": ["hollow knight"], "includeReviews": true, "maxReviewsPerGame": 200, "reviewLanguage": "english" }
```

Measured on October 7, 2026: 4 games and 600 English reviews in 20 seconds. Data comes from the Steam store's public endpoints — no login, no API key.

### Pricing

**$1.50 per 1,000 games**, **$0.20 per 1,000 reviews**, plus $0.01 per run. Error rows are free. The $0.01 run-start fee is the one charge every run pays, even one that returns nothing.

### For AI agents

`{"searches": ["stardew valley"], "maxResultsPerSearch": 1}` returns the game with price and review score. Rows have `type`: `game`, `review` or `error`.

# Actor input Schema

## `games` (type: `array`):

Steam store URLs or app IDs.

## `searches` (type: `array`):

Game names; the top matches from the Steam store search are added.

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

How many games to return for each search term. Steam search returns at most 50.

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

Two-letter code for prices and availability, e.g. "us", "gb", "de", "jp".

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

Newest first.

## `maxReviewsPerGame` (type: `integer`):

How many reviews to return for each game, newest first.

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

Steam language names: "english", "schinese", "japanese", "german", "brazilian" … or "all".

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

Keep all reviews, only reviews that recommend the game, or only reviews that do not.

## `onlyNew` (type: `boolean`):

From the second run on, stop at the first review already returned. Schedule it for a daily review feed.

## Actor input object example

```json
{
  "games": [
    "https://store.steampowered.com/app/620/Portal_2/"
  ],
  "maxResultsPerSearch": 10,
  "country": "us",
  "includeReviews": false,
  "maxReviewsPerGame": 100,
  "reviewLanguage": "all",
  "reviewType": "all",
  "onlyNew": false
}
```

# Actor output Schema

## `games` (type: `string`):

Price, discount, developer, release date and review score.

## `reviews` (type: `string`):

Reviews with recommendation, text, playtime and votes.

# 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 = {
    "games": [
        "https://store.steampowered.com/app/620/Portal_2/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("northbell/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 = { "games": ["https://store.steampowered.com/app/620/Portal_2/"] }

# Run the Actor and wait for it to finish
run = client.actor("northbell/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 '{
  "games": [
    "https://store.steampowered.com/app/620/Portal_2/"
  ]
}' |
apify call northbell/steam-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,northbell/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/L4dHYwUUCIarfmCl0/builds/wyVllhHoEgA2jZQZm/openapi.json