# Steam Scraper — Games, Prices, Reviews & Charts (`scrapesage/steam-scraper`) Actor
Scrape the Steam store: search games, full game details, prices & discounts, user reviews with sentiment, top sellers / new releases / specials charts, and SteamSpy owner & player stats. Publisher leads (website, support email), monitoring mode, any storefront. No login, no key, no browser.
- **URL**: https://apify.com/scrapesage/steam-scraper.md
- **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community)
- **Categories:** E-commerce, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $5.00 / 1,000 game 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/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.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 Scraper — Games, Prices, Reviews & Charts
Extract **everything public on the [Steam store](https://store.steampowered.com)** — full **game details** (price, discount, genres, categories, platforms, Metacritic, release date, screenshots), **user reviews** with a **sentiment summary**, **top-seller / new-release / specials charts**, and **SteamSpy stats** (owner estimates, concurrent players, playtime, community tags). Built straight on Steam's own store endpoints for clean, fast, structured data.
No login, no API key, no browser — and an optional **monitoring mode** that returns only new games and new reviews on each run.
### Why this Steam scraper?
Most Steam scrapers do one narrow thing — reviews only, or a single chart. This actor rolls **four jobs into one tool** and ships the **richest dataset in the category**: the complete game record, the review stream *and* the sentiment summary, plus owner/player estimates the official API never exposes.
| Data | Typical Steam scrapers | This actor |
|---|---|---|
| Search & browse games (keyword, sort, specials) | partial | ✅ |
| Full game details (price, discount, genres, platforms, Metacritic, release date…) | basic fields | ✅ 70+ fields |
| Derived analytics (priceFinalUsd, isDiscounted, releaseYear, achievementsCount, platformList…) | ❌ | ✅ computed per game |
| **SteamSpy** owners, peak concurrent players, playtime & community tags | ❌ | ✅ |
| **Publisher leads** — developer/publisher, website, support URL & email | ❌ | ✅ when published |
| Charts — top sellers / new releases / specials / coming soon | sometimes | ✅ |
| User reviews (recommendation, text, votes, author playtime) | ✅ | ✅ |
| **Review sentiment summary** (score, % positive, totals) | ❌ | ✅ one row per app |
| App ID ⇄ store URL — both accepted | partial | ✅ |
| **Monitoring mode** — only new games / reviews | ❌ | ✅ |
| One run, four jobs (search · details · charts · reviews) | ❌ | ✅ |
### Use cases
- **Game-market & competitive research** — see who tops a category or ranks for a keyword, with price, discount, Metacritic, review counts and SteamSpy owner/player estimates; benchmark your game against its rivals.
- **Price & discount monitoring** — track prices and sales across any storefront; run the specials chart on a schedule with monitoring mode to catch new discounts the moment they go live.
- **Review intelligence** — pull the full review stream plus a sentiment summary (e.g. *Overwhelmingly Positive, 96.8%*); monitor new reviews for sentiment dashboards, bug signals and support alerts.
- **Publisher & developer lead-gen** — capture the studio/publisher, their website and support contact (where Steam publishes it) for partnerships, BD and outreach.
- **Discovery & aggregation** — power dashboards, newsletters and datasets with structured game metadata across countries, genres and charts.
### How to use
1. [Sign up for Apify](https://console.apify.com/sign-up) — the free plan is enough to try this actor.
2. Open the **Steam Scraper**, pick a **mode** (Search, App details, Charts, or Reviews), fill in the matching field, and click **Start**.
3. Watch results stream into the dataset table as each record is parsed.
4. **Export** as JSON, CSV, Excel, XML, or RSS — or pull results programmatically via the [Apify API](https://docs.apify.com/api/v2).
### Input
Search a keyword, sorted by user reviews, enriched with SteamSpy stats:
```json
{
"mode": "search",
"searchTerms": ["roguelike", "city builder"],
"sortBy": "reviews",
"maxAppsPerQuery": 50,
"includeSteamSpy": true,
"country": "us"
}
````
Pull the newest reviews for specific games, on a schedule, getting only new ones each run:
```json
{
"mode": "reviews",
"appIds": ["730", "292030", "https://store.steampowered.com/app/570/"],
"maxReviewsPerApp": 500,
"reviewsFilter": "recent",
"monitorMode": true
}
```
- **mode** — `search`, `appDetails`, `charts`, or `reviews`. Each mode uses the field that matches it (`searchTerms`, `appIds`, `collection`, or `appIds`).
- **appIds** — numeric Steam app IDs (`730`) or full store URLs (`https://store.steampowered.com/app/292030/`); both are accepted.
- **collection** — for `charts`: `top_sellers`, `specials`, `new_releases`, or `coming_soon`.
- **sortBy / onlySpecials** — for `search`: order results (relevance, release date, reviews, price…) and optionally return only discounted games. Leave `searchTerms` empty with `onlySpecials` on to browse every game on sale store-wide.
- **fullDetails** *(default true)* — for charts, enrich each game with its full record; turn off for a faster, lighter list. Search always returns full records.
- **includeSteamSpy** *(default true)* — add owner/player/playtime/tag stats to each full game record.
- **maxReviewsPerApp / reviewsFilter / reviewLanguage / reviewType / purchaseType** — review controls (see **Reviews** below).
- **country / language** — storefront (`us`, `gb`, `de`, `br`…) and store-text language (`en`, `de`, `french`).
- **monitorMode / monitorStoreName** — emit only records not seen in previous runs (see **Monitoring** below).
- **proxyConfiguration** — proxy settings (Apify proxy by default).
### Output
One dataset; every row is tagged with a `type` (`game`, `review`, or `reviewSummary`). Use the **Games**, **Publisher leads**, and **Reviews** views to switch the columns.
A game record (`type: "game"`, abridged — 70+ fields in total, including all raw Steam fields, the derived analytics and optional SteamSpy block):
```json
{
"type": "game",
"appId": 292030,
"title": "The Witcher 3: Wild Hunt",
"appType": "game",
"isFree": false,
"priceFinalUsd": 39.99,
"priceFormatted": "$39.99",
"discountPercent": 0,
"isDiscounted": false,
"metacriticScore": 93,
"recommendationsTotal": 871862,
"genreList": ["RPG"],
"categoryList": ["Single-player", "Steam Achievements", "Steam Cloud"],
"platformList": ["windows", "mac", "linux"],
"releaseDate": "May 18, 2015",
"releaseYear": 2015,
"achievementsCount": 78,
"developer": {
"developers": ["CD PROJEKT RED"],
"publishers": ["CD PROJEKT RED"],
"website": "https://www.thewitcher.com/witcher3",
"supportUrl": "https://support.cdprojektred.com/",
"supportEmail": ""
},
"steamSpy": {
"owners": "20,000,000 .. 50,000,000",
"peakConcurrentYesterday": 15893,
"averagePlaytimeForeverMin": 4200,
"positiveVotes": 800000,
"negativeVotes": 20000,
"tags": { "Open World": 12000, "RPG": 11000, "Story Rich": 9000 }
},
"url": "https://store.steampowered.com/app/292030",
"scrapedAt": "2026-06-14T12:00:00.000Z"
}
```
A review record (`type: "review"`), plus one `reviewSummary` row per app:
```json
{
"type": "review",
"appId": 292030,
"reviewId": "187654321",
"votedUp": true,
"review": "One of the best RPGs ever made…",
"language": "english",
"votesUp": 42,
"votesFunny": 3,
"weightedVoteScore": 0.86,
"steamPurchase": true,
"writtenDuringEarlyAccess": false,
"createdAt": "2026-06-09T18:55:13.000Z",
"author": {
"steamId": "765611…",
"numGamesOwned": 187,
"numReviews": 24,
"playtimeForeverMin": 936,
"playtimeAtReviewMin": 720
},
"scrapedAt": "2026-06-14T12:00:00.000Z"
}
```
**Coverage notes.** Game data comes from Steam's own store endpoints, so core fields (title, price, genres, platforms, release date, developers/publishers) are near-universal; optional fields (Metacritic, achievements, support email) appear when Steam or the publisher provides them. SteamSpy owner/player figures are third-party *estimates*. A game that is region-locked or removed in the selected storefront is reported as skipped, not as an error. Empty results (e.g. a game with no reviews) are a successful run.
### Reviews — full stream + sentiment
Reviews mode returns **one `reviewSummary` row per app** — Steam's overall `reviewScoreDesc` (e.g. *Very Positive*), the positive percentage and totals — followed by the **individual reviews** themselves. Steam paginates 100 at a time via a cursor, so set `maxReviewsPerApp` high to walk the full history, or use `reviewsFilter: "recent"` with monitoring mode to capture only the newest reviews each run. Filter by `reviewLanguage`, `reviewType` (positive/negative) and `purchaseType` (Steam vs. key activations).
### Monitoring — get only new games & reviews
Turn on **`monitorMode`** to make repeat runs incremental. The actor remembers what it has already returned (app IDs for search/charts/details modes; review IDs for reviews mode) in a named key-value store (**`monitorStoreName`**) and emits **only records that are new since the last run**.
- Track the **specials chart** and get only *new discounts* as they appear.
- Track a **new-releases chart** or a **keyword** and capture only *new games*.
- Track a game's **reviews** and capture only the *newest reviews* each run — perfect for sentiment dashboards and support alerts.
- It works **alongside [Apify Schedules](https://docs.apify.com/platform/schedules)**, not against them: the schedule triggers the run on your cron; monitoring mode dedupes against earlier runs so each run yields only fresh data. Use a distinct `monitorStoreName` per tracked target so their histories stay separate.
### Automate & schedule
Run this actor on autopilot and pull results into your own stack:
- **[Apify API](https://docs.apify.com/api/v2)** — start runs, fetch datasets, and manage schedules over REST.
- **[apify-client for JavaScript](https://docs.apify.com/api/client/js/)** and **[apify-client for Python](https://docs.apify.com/api/client/python/)** — official SDKs.
- **[Schedules](https://docs.apify.com/platform/schedules)** — run it on a cron to keep prices, charts and reviews fresh.
- **[Webhooks](https://docs.apify.com/platform/integrations/webhooks)** — trigger downstream actions the moment a run finishes.
```js
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });
const run = await client.actor('scrapesage/steam-scraper').call({
mode: 'charts',
collection: 'specials',
fullDetails: true,
maxAppsPerQuery: 50,
country: 'us',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} records`);
```
### Integrate with any app
Connect the dataset to 5,000+ apps — no code required:
- **[Make](https://docs.apify.com/platform/integrations/make)** — multi-step automation scenarios.
- **[Zapier](https://docs.apify.com/platform/integrations/zapier)** — push new games or price drops straight into your CRM or sheet.
- **[Slack](https://docs.apify.com/platform/integrations/slack)** — get notified when a monitored game drops in price or gets new reviews.
- **[Google Drive / Sheets](https://docs.apify.com/platform/integrations/drive)** — auto-export every run to a spreadsheet.
- **[Airbyte](https://docs.apify.com/platform/integrations/airbyte)** — pipe results into your data warehouse.
- **[GitHub](https://docs.apify.com/platform/integrations/github)** — trigger runs from commits or releases.
### Use with AI assistants (MCP)
The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the **[Apify MCP server](https://docs.apify.com/platform/integrations/mcp)** — ask your assistant to "find the top 25 roguelikes on Steam by review score and summarise their prices and player counts" and let it run this scraper for you.
### More scrapers from scrapesage
Build a complete **app/game-market & competitive-intel stack** — cover every store your market lives on:
- **[Google Play Scraper](https://apify.com/scrapesage/google-play-scraper)** — the Android app market: search, app details, charts, developer portfolios, reviews and developer-contact leads.
- **[Apple App Store Scraper](https://apify.com/scrapesage/app-store-scraper)** — the iOS app market: apps, reviews, charts and developer portfolios.
- **[Product Hunt Scraper](https://apify.com/scrapesage/product-hunt-scraper)** — new product launches, makers & maker leads.
- **[Google Ads Transparency Scraper](https://apify.com/scrapesage/google-ads-transparency-scraper)** — see exactly which ads any advertiser is running.
- **[Facebook Ad Library Scraper](https://apify.com/scrapesage/facebook-ad-library-scraper)** — competitor ad creatives on Meta & Instagram.
- **[Y Combinator Scraper](https://apify.com/scrapesage/ycombinator-scraper)** — startups, founders & jobs from the YC directory.
- **[LinkedIn Jobs Scraper](https://apify.com/scrapesage/linkedin-jobs-scraper)** — job postings as hiring-intent signals.
- **[Telegram Scraper](https://apify.com/scrapesage/telegram-scraper)** — channels, messages, media & search.
### Tips
- **Charts:** pick a `collection` (top sellers / specials / new releases / coming soon), set `country`, and keep `fullDetails` on for the complete per-game record; turn it off for a faster, lighter list when you only need names, prices and discounts.
- **Browse all sales:** set `mode: "search"`, leave `searchTerms` empty and turn on `onlySpecials` to sweep every discounted game store-wide, sorted however you like.
- **Reviews at scale:** Steam walks reviews by cursor, so set `maxReviewsPerApp` high to capture the full history — or schedule with monitoring mode to keep accumulating only new reviews.
- **SteamSpy:** keep `includeSteamSpy` on for owner estimates, concurrent players and community tags — the numbers the official store API doesn't give you.
- **Localize:** set `country` (and `language`) to match the storefront you care about; pricing and availability change by country.
### FAQ
**Do I need a Steam account or API key?** No. This actor reads Steam's public store endpoints — no login, key, or cookies.
**How many reviews can I get per app?** As many as you set in `maxReviewsPerApp` — Steam paginates by cursor, so the full review history is reachable. Use monitoring mode on a schedule to keep capturing new reviews over time.
**Where do owner and player numbers come from?** From [SteamSpy](https://steamspy.com), a third-party service that *estimates* owners and tracks concurrent players, playtime and community tags. Treat them as estimates, not official figures.
**Does it include developer/publisher contact details?** It includes the developer and publisher names, the game's website, and the support URL/email **where Steam publishes them** — many studios fill these in, some leave them blank.
**Can I scrape a specific country's store?** Yes — set `country` (and optionally `language`). Pricing, discounts and availability are all storefront-specific.
**Can I export to Google Sheets, CSV, or Excel?** Yes — one click in the dataset view, or automatically on every run via the [Google Drive integration](https://docs.apify.com/platform/integrations/drive).
**Is scraping Steam legal?** This actor collects publicly available data only. You're responsible for using the data in compliance with applicable laws (e.g. GDPR/CCPA for personal data) and Steam's terms.
### Need help?
Open an issue on the actor's **Issues** tab, or visit the [Apify help center](https://help.apify.com/). Feature requests are welcome — this actor is actively maintained.
# Actor input Schema
## `mode` (type: `string`):
Pick a job. Search finds games by keyword (or browse all). App details pulls the full record for specific games. Charts lists top sellers / new releases / specials / coming soon. Reviews pulls user reviews with a sentiment summary.
## `searchTerms` (type: `array`):
Keywords to search the Steam store for, e.g. roguelike, city builder. One row per term. (Mode: Search.)
## `appIds` (type: `array`):
Numeric Steam app IDs (e.g. 730, 292030) or full store URLs (e.g. https://store.steampowered.com/app/292030/). Used by the App details and Reviews modes.
## `collection` (type: `string`):
Which Steam chart to pull. (Mode: Charts.)
## `sortBy` (type: `string`):
Ordering for the Search mode discovery results.
## `onlySpecials` (type: `boolean`):
In Search mode, return only games currently on sale. Leave Search terms empty with this on to browse ALL discounted games store-wide.
## `maxAppsPerQuery` (type: `integer`):
Cap the number of games returned per search term or chart.
## `fullDetails` (type: `boolean`):
For Charts, open each game for the complete record (full description, genres, categories, platforms, metacritic, release date, screenshots…). Off = a faster, lighter list (name, price, discount). Search always returns full records.
## `includeSteamSpy` (type: `boolean`):
Add SteamSpy enrichment to each full game record: estimated owners, peak concurrent players, average/median playtime, positive/negative votes and community tags — data the official store API does not expose.
## `maxReviewsPerApp` (type: `integer`):
How many reviews to fetch per app (Mode: Reviews). Steam paginates 100 at a time via a cursor; set high to capture the full history.
## `reviewsFilter` (type: `string`):
How reviews are ordered. recent = newest first (best for monitoring), updated = recently updated, all = Steam's relevance ranking. (Mode: Reviews.)
## `reviewLanguage` (type: `string`):
Steam language code to filter reviews (e.g. english, schinese, russian), or all for every language. (Mode: Reviews.)
## `reviewType` (type: `string`):
Limit reviews to positive, negative, or all. (Mode: Reviews.)
## `purchaseType` (type: `string`):
Limit reviews to Steam purchasers, non-Steam (key) activations, or all. (Mode: Reviews.)
## `country` (type: `string`):
Two-letter country code (e.g. us, gb, de, br). Affects pricing and availability.
## `language` (type: `string`):
Steam language for store text (e.g. en, de, french). Affects descriptions, genres and category labels.
## `monitorMode` (type: `boolean`):
Remember what was already returned and emit ONLY records not seen in previous runs (new games for a search/chart, or new reviews for an app). Pairs with Apify Schedules to track changes over time.
## `monitorStoreName` (type: `string`):
Named key-value store that holds the 'already seen' ids for monitoring mode. Use a different name per tracked target/query to keep their histories separate.
## `maxConcurrency` (type: `integer`):
Maximum parallel requests. Lower it if you hit rate limits on very large runs.
## `proxyConfiguration` (type: `object`):
Proxy settings. Steam's public store endpoints have no hard anti-bot, so the default Apify proxy is plenty; rotating IPs avoids per-IP rate limits on large runs.
## Actor input object example
```json
{
"mode": "search",
"searchTerms": [
"roguelike"
],
"appIds": [
"730"
],
"collection": "top_sellers",
"sortBy": "relevance",
"onlySpecials": false,
"maxAppsPerQuery": 50,
"fullDetails": true,
"includeSteamSpy": true,
"maxReviewsPerApp": 100,
"reviewsFilter": "recent",
"reviewLanguage": "all",
"reviewType": "all",
"purchaseType": "all",
"country": "us",
"language": "en",
"monitorMode": false,
"monitorStoreName": "steam-monitor",
"maxConcurrency": 5,
"proxyConfiguration": {
"useApifyProxy": true
}
}
```
# Actor output Schema
## `results` (type: `string`):
All scraped records in the default dataset. Game rows carry full metadata, prices, derived analytics, publisher leads and optional SteamSpy stats; review rows carry the user feedback.
# 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 = {
"searchTerms": [
"roguelike"
],
"appIds": [
"730"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapesage/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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"searchTerms": ["roguelike"],
"appIds": ["730"],
}
# Run the Actor and wait for it to finish
run = client.actor("scrapesage/steam-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchTerms": [
"roguelike"
],
"appIds": [
"730"
]
}' |
apify call scrapesage/steam-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapesage/steam-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Steam Scraper — Games, Prices, Reviews & Charts",
"description": "Scrape the Steam store: search games, full game details, prices & discounts, user reviews with sentiment, top sellers / new releases / specials charts, and SteamSpy owner & player stats. Publisher leads (website, support email), monitoring mode, any storefront. No login, no key, no browser.",
"version": "0.1",
"x-build-id": "UXg7jB97vVZgpLrch"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapesage~steam-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapesage-steam-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapesage~steam-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapesage-steam-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapesage~steam-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapesage-steam-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"required": [
"mode"
],
"properties": {
"mode": {
"title": "What to scrape",
"enum": [
"search",
"appDetails",
"charts",
"reviews"
],
"type": "string",
"description": "Pick a job. Search finds games by keyword (or browse all). App details pulls the full record for specific games. Charts lists top sellers / new releases / specials / coming soon. Reviews pulls user reviews with a sentiment summary.",
"default": "search"
},
"searchTerms": {
"title": "Search terms",
"type": "array",
"description": "Keywords to search the Steam store for, e.g. roguelike, city builder. One row per term. (Mode: Search.)",
"items": {
"type": "string"
}
},
"appIds": {
"title": "App IDs / store URLs",
"type": "array",
"description": "Numeric Steam app IDs (e.g. 730, 292030) or full store URLs (e.g. https://store.steampowered.com/app/292030/). Used by the App details and Reviews modes.",
"items": {
"type": "string"
}
},
"collection": {
"title": "Chart",
"enum": [
"top_sellers",
"specials",
"new_releases",
"coming_soon"
],
"type": "string",
"description": "Which Steam chart to pull. (Mode: Charts.)",
"default": "top_sellers"
},
"sortBy": {
"title": "Sort search results by",
"enum": [
"relevance",
"release_date",
"reviews",
"price_asc",
"price_desc",
"name"
],
"type": "string",
"description": "Ordering for the Search mode discovery results.",
"default": "relevance"
},
"onlySpecials": {
"title": "Only discounted games (Search)",
"type": "boolean",
"description": "In Search mode, return only games currently on sale. Leave Search terms empty with this on to browse ALL discounted games store-wide.",
"default": false
},
"maxAppsPerQuery": {
"title": "Max games per query",
"minimum": 1,
"maximum": 500,
"type": "integer",
"description": "Cap the number of games returned per search term or chart.",
"default": 50
},
"fullDetails": {
"title": "Enrich chart games with full details",
"type": "boolean",
"description": "For Charts, open each game for the complete record (full description, genres, categories, platforms, metacritic, release date, screenshots…). Off = a faster, lighter list (name, price, discount). Search always returns full records.",
"default": true
},
"includeSteamSpy": {
"title": "Include SteamSpy stats",
"type": "boolean",
"description": "Add SteamSpy enrichment to each full game record: estimated owners, peak concurrent players, average/median playtime, positive/negative votes and community tags — data the official store API does not expose.",
"default": true
},
"maxReviewsPerApp": {
"title": "Max reviews per app",
"minimum": 1,
"maximum": 20000,
"type": "integer",
"description": "How many reviews to fetch per app (Mode: Reviews). Steam paginates 100 at a time via a cursor; set high to capture the full history.",
"default": 100
},
"reviewsFilter": {
"title": "Review order",
"enum": [
"recent",
"updated",
"all"
],
"type": "string",
"description": "How reviews are ordered. recent = newest first (best for monitoring), updated = recently updated, all = Steam's relevance ranking. (Mode: Reviews.)",
"default": "recent"
},
"reviewLanguage": {
"title": "Review language",
"type": "string",
"description": "Steam language code to filter reviews (e.g. english, schinese, russian), or all for every language. (Mode: Reviews.)",
"default": "all"
},
"reviewType": {
"title": "Review type",
"enum": [
"all",
"positive",
"negative"
],
"type": "string",
"description": "Limit reviews to positive, negative, or all. (Mode: Reviews.)",
"default": "all"
},
"purchaseType": {
"title": "Purchase type",
"enum": [
"all",
"steam",
"non_steam_purchase"
],
"type": "string",
"description": "Limit reviews to Steam purchasers, non-Steam (key) activations, or all. (Mode: Reviews.)",
"default": "all"
},
"country": {
"title": "Country / storefront",
"type": "string",
"description": "Two-letter country code (e.g. us, gb, de, br). Affects pricing and availability.",
"default": "us"
},
"language": {
"title": "Language",
"type": "string",
"description": "Steam language for store text (e.g. en, de, french). Affects descriptions, genres and category labels.",
"default": "en"
},
"monitorMode": {
"title": "Monitoring mode — only new records",
"type": "boolean",
"description": "Remember what was already returned and emit ONLY records not seen in previous runs (new games for a search/chart, or new reviews for an app). Pairs with Apify Schedules to track changes over time.",
"default": false
},
"monitorStoreName": {
"title": "Monitor store name",
"type": "string",
"description": "Named key-value store that holds the 'already seen' ids for monitoring mode. Use a different name per tracked target/query to keep their histories separate.",
"default": "steam-monitor"
},
"maxConcurrency": {
"title": "Max concurrency",
"minimum": 1,
"maximum": 20,
"type": "integer",
"description": "Maximum parallel requests. Lower it if you hit rate limits on very large runs.",
"default": 5
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Proxy settings. Steam's public store endpoints have no hard anti-bot, so the default Apify proxy is plenty; rotating IPs avoids per-IP rate limits on large runs.",
"default": {
"useApifyProxy": true
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```