# Steam Store Game Scraper (`moving_beacon-owner1/my-actor-79`) Actor Scrape game data from the Steam Store — the world's largest PC gaming platform with 50,000+ games. Extract prices, discounts, descriptions, reviews, genres, platforms, screenshots, system requirements, and more. - **URL**: https://apify.com/moving\_beacon-owner1/my-actor-79.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** E-commerce, Developer tools, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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. 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 Store Game Scraper **Scrape game data from the [Steam Store](https://store.steampowered.com)** — the world's largest PC gaming platform with 50,000+ games. Extract prices, discounts, descriptions, reviews, genres, platforms, screenshots, system requirements, and more. No API key needed. No login required. --- ### What does this actor do? This actor fetches game data from Steam's public Store APIs. It can scrape featured titles, search for games, pull full details for specific apps, and browse top sellers, new releases, and current sales. **Use it to:** - Track game prices and discounts across regions - Monitor Steam sales and deals in real-time - Build a database of game metadata (genres, platforms, reviews) - Research competitors in the gaming market - Get notified when specific games go on sale - Compare pricing across countries --- ### How to use #### Step 1: Choose a scrape mode | Mode | What it does | Required input | |------|-------------|----------------| | **Featured & Deals** | Homepage highlights, specials, top sellers, new releases — all in one | None | | **Search Games** | Keyword search across all Steam games | `search_query` | | **App Details** | Full metadata for specific games by App ID | `app_ids` | | **Top Sellers** | Current best-selling games | None | | **New Releases** | Recently released games | None | | **Current Specials** | Games currently on sale | None | #### Step 2: Configure and run Set your country code for regional pricing, apply filters, and click **Start**. #### Step 3: Export Download results as JSON, CSV, or Excel from the dataset tab. --- ### Input examples #### Example 1: Get all featured games and deals ```json { "scrape_mode": "featured", "max_results": 50, "country_code": "US" } ```` #### Example 2: Search for survival games ```json { "scrape_mode": "search", "search_query": "survival open world", "max_results": 30 } ``` #### Example 3: Full details for specific games ```json { "scrape_mode": "app_details", "app_ids": "730, 570, 440, 1172470, 1245620", "country_code": "US" } ``` > App IDs: 730 = CS2, 570 = Dota 2, 440 = TF2, 1172470 = Apex Legends, 1245620 = Elden Ring #### Example 4: Current specials with 50%+ discount ```json { "scrape_mode": "specials", "max_results": 50, "on_sale_only": true, "min_discount": 50, "country_code": "US" } ``` #### Example 5: Featured games with full details enrichment ```json { "scrape_mode": "featured", "max_results": 20, "include_details": true, "country_code": "GB" } ``` #### Example 6: Linux-only new releases ```json { "scrape_mode": "new_releases", "max_results": 30, "platforms": "linux" } ``` *** ### Output format #### Featured / Search / Top Sellers / Specials record ```json { "rank": 1, "type": "game", "app_id": 1245620, "name": "ELDEN RING", "discounted": true, "discount_percent": 40, "original_price": "$59.99", "final_price": "$35.99", "original_cents": 5999, "final_cents": 3599, "currency": "USD", "platforms": { "windows": true, "mac": false, "linux": false }, "featured_section": "specials", "header_image": "https://cdn.akamai.steamstatic.com/...", "steam_url": "https://store.steampowered.com/app/1245620/", "scraped_at": "2026-04-05T12:00:00+00:00" } ``` #### App Details record (when using App Details mode or `include_details`) ```json { "type": "app_details", "app_id": 1245620, "name": "ELDEN RING", "is_free": false, "required_age": 16, "detailed_description": "THE NEW FANTASY ACTION RPG. Rise, Tarnished...", "developers": ["FromSoftware Inc."], "publishers": ["Bandai Namco Entertainment"], "price_final": "$35.99", "discount_percent": 40, "price_formatted": "$35.99", "platforms": { "windows": true, "mac": false, "linux": false }, "categories": ["Single-player", "Multi-player", "Co-op", "Online Co-op"], "genres": ["Action", "RPG"], "release_date": "Feb 24, 2022", "coming_soon": false, "metacritic_score": 94, "recommendations": 567890, "supported_languages": "English, French, Italian, German, Spanish...", "screenshots": ["https://cdn.akamai.steamstatic.com/..."], "movies": [{ "name": "Launch Trailer", "url": "https://..." }], "pc_requirements_min": "OS: Windows 10, Processor: Intel Core i5...", "dlc_count": 2, "steam_url": "https://store.steampowered.com/app/1245620/", "scraped_at": "2026-04-05T12:00:00+00:00" } ``` *** ### Finding App IDs Every game on Steam has a numeric App ID visible in its store URL: ``` https://store.steampowered.com/app/730/CounterStrike_2/ ^^^ App ID = 730 ``` **Popular App IDs:** | Game | App ID | |------|--------| | Counter-Strike 2 | `730` | | Dota 2 | `570` | | Team Fortress 2 | `440` | | ELDEN RING | `1245620` | | Baldur's Gate 3 | `1086940` | | Cyberpunk 2077 | `1091500` | | GTA V | `271590` | | Stardew Valley | `413150` | | Terraria | `105600` | | Apex Legends | `1172470` | *** ### Regional pricing Set `country_code` to get prices in the local currency for that region. Steam shows different prices in different countries. | Code | Country | Currency | |------|---------|----------| | `US` | United States | USD | | `GB` | United Kingdom | GBP | | `DE` | Germany | EUR | | `JP` | Japan | JPY | | `BR` | Brazil | BRL | | `IN` | India | INR | | `PK` | Pakistan | PKR | | `RU` | Russia | — | | `CN` | China | CNY | | `AU` | Australia | AUD | *** ### Cost and performance | Mode | Items | Time | Credits | |------|-------|------|---------| | Featured | 50 games | ~10 sec | < $0.01 | | Search | 50 games | ~15 sec | < $0.01 | | App Details | 10 games | ~20 sec | < $0.01 | | Featured + Details | 20 games | ~45 sec | < $0.01 | | Specials (filtered) | 50 games | ~10 sec | < $0.01 | *** ### Tips - **Start with `featured` mode** — it gives the best overview of what's on Steam right now in a single request. - **Use `include_details: true`** only when you need rich metadata (descriptions, screenshots, reviews). It's slower because it makes one API call per game. - **`app_details` mode** is best when you know exactly which games you want — it gives the most complete data. - **Combine `specials` mode with `min_discount: 50`** to find the deepest deals. - **Steam rate-limits** at roughly 200 requests per 5 minutes. The actor adds a 1.5-second delay between detail requests automatically. - **App IDs are stable** — they never change, so you can save them and re-use them for tracking. *** ### Limitations - Steam's store API is undocumented and may change without notice. - Search results are limited to what Steam's search endpoint returns (some games may not appear). - Intraday pricing changes are rare — Steam updates prices at sale boundaries. - Some games in certain regions may show different content or be unavailable. - The actor respects Steam's rate limits with built-in delays. *** ### Changelog #### v1.0.0 (2026-04-05) - Initial release - 6 scrape modes: featured, search, app details, top sellers, new releases, specials - Regional pricing via country codes - Filters: on-sale only, minimum discount %, platform - Optional full details enrichment for any mode - Deduplication for featured results # Actor input Schema ## `scrape_mode` (type: `string`): What to scrape from Steam. ## `search_query` (type: `string`): Keywords to search for (used in Search mode). Example: 'survival open world'. ## `app_ids` (type: `string`): Comma-separated Steam App IDs (used in App Details mode). Example: '730,570,440' for CS2, Dota 2, TF2. Find IDs in the Steam store URL. ## `max_results` (type: `integer`): Maximum number of games to return (1–200). ## `country_code` (type: `string`): Two-letter country code for regional pricing. Examples: US, GB, DE, JP, PK, IN. ## `include_details` (type: `boolean`): For Featured/Search/Top Sellers modes: also fetch full app details for each game (slower but richer data — descriptions, screenshots, reviews, system requirements). ## `on_sale_only` (type: `boolean`): Only include games that are currently discounted. ## `min_discount` (type: `integer`): Only include games with at least this discount percentage (0 = no filter). ## `platforms` (type: `string`): Filter by platform. Leave empty for all platforms. ## `proxy_configuration` (type: `object`): Proxy settings. Steam may rate-limit aggressive scraping. ## Actor input object example ```json { "scrape_mode": "featured", "search_query": "", "app_ids": "", "max_results": 50, "country_code": "US", "include_details": false, "on_sale_only": false, "min_discount": 0, "platforms": "" } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/my-actor-79").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 = {} # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/my-actor-79").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 '{}' | apify call moving_beacon-owner1/my-actor-79 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/my-actor-79", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Steam Store Game Scraper", "description": "Scrape game data from the Steam Store — the world's largest PC gaming platform with 50,000+ games. Extract prices, discounts, descriptions, reviews, genres, platforms, screenshots, system requirements, and more.", "version": "0.0", "x-build-id": "CmEVDrty1wrzep7ut" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~my-actor-79/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-my-actor-79", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~my-actor-79/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-my-actor-79", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~my-actor-79/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-my-actor-79", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "scrape_mode" ], "properties": { "scrape_mode": { "title": "Scrape Mode", "enum": [ "featured", "search", "app_details", "top_sellers", "new_releases", "specials" ], "type": "string", "description": "What to scrape from Steam.", "default": "featured" }, "search_query": { "title": "Search Query", "type": "string", "description": "Keywords to search for (used in Search mode). Example: 'survival open world'.", "default": "" }, "app_ids": { "title": "App IDs", "type": "string", "description": "Comma-separated Steam App IDs (used in App Details mode). Example: '730,570,440' for CS2, Dota 2, TF2. Find IDs in the Steam store URL.", "default": "" }, "max_results": { "title": "Max Results", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of games to return (1–200).", "default": 50 }, "country_code": { "title": "Country Code", "type": "string", "description": "Two-letter country code for regional pricing. Examples: US, GB, DE, JP, PK, IN.", "default": "US" }, "include_details": { "title": "Include Full Details", "type": "boolean", "description": "For Featured/Search/Top Sellers modes: also fetch full app details for each game (slower but richer data — descriptions, screenshots, reviews, system requirements).", "default": false }, "on_sale_only": { "title": "On Sale Only", "type": "boolean", "description": "Only include games that are currently discounted.", "default": false }, "min_discount": { "title": "Minimum Discount %", "minimum": 0, "maximum": 100, "type": "integer", "description": "Only include games with at least this discount percentage (0 = no filter).", "default": 0 }, "platforms": { "title": "Platforms", "enum": [ "", "windows", "mac", "linux" ], "type": "string", "description": "Filter by platform. Leave empty for all platforms.", "default": "" }, "proxy_configuration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Steam may rate-limit aggressive scraping." } } }, "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 } } } } } } } } } } ```