# Steam Store Scraper - Games, Prices & Ratings (`benthepythondev/steam-scraper`) Actor Steam Scraper to extract game data from the Steam store by keyword. Get name, price, discount, Metacritic score, genres, developers, publishers, release date, description and platforms (Windows, Mac, Linux). For game price tracking, deal aggregators and games databases. Keyless and fast. - **URL**: https://apify.com/benthepythondev/steam-scraper.md - **Developed by:** [ben](https://apify.com/benthepythondev) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Scraper — Games, Prices & Ratings **Search the [Steam](https://store.steampowered.com) store by keyword and extract structured game data.** Built for **game price tracking, market research, deal aggregators, and games databases**. Keyless, fast and reliable — no proxy or browser needed. ### What you get Per game: - **name**, **app_id**, **type** - **price**, **price_initial**, **currency**, **discount_percent** - **metacritic_score**, **recommendations_total** - **genres**, **categories** - **developers**, **publishers** - **release_date**, **coming_soon** - **short_description**, **required_age** - **windows / mac / linux**, **controller_support** - **image**, **header_image**, **website**, **url** - **search_query**, **scraped_at** ### Why this Actor | | Steam Scraper | Manual browsing | HTML scrapers | |---|---|---|---| | Official Steam data | Yes | — | Fragile | | Price + discount + metascore | Yes | Slow | Partial | | Developers, genres, release | Yes | Manual | Rare | | No API key / browser | Yes | — | No | | Pay per game | Yes | — | — | ### Input | Field | Type | Description | |---|---|---| | `searchQuery` | string | Game keyword (e.g. `cyberpunk`, `racing`) | | `country` | string | Store country code for pricing (US, DE, …) | | `includeDetails` | boolean | Fetch full details per game (devs, genres, …) | | `maxResults` | integer | Max games to return | #### Example input ```json { "searchQuery": "racing", "country": "US", "includeDetails": true, "maxResults": 30 } ```` ### Sample output ```json { "app_id": 1091500, "name": "Cyberpunk 2077", "price": 59.99, "currency": "USD", "discount_percent": 0, "metacritic_score": 86, "genres": ["RPG"], "developers": ["CD PROJEKT RED"], "release_date": "Dec 9, 2020", "recommendations_total": 851865, "url": "https://store.steampowered.com/app/1091500" } ``` ### Use cases - **Price tracking** — monitor game prices and discounts over time - **Deal aggregators** — power game-deal sites and Discord bots - **Market research** — analyse genres, ratings and pricing trends - **Game databases** — enrich catalogs with metadata and artwork ### Pricing Pay-per-result. You are charged only for the games returned — empty runs cost nothing. Fast, API-based runs. ### Notes & legal - Uses Steam's public store endpoints. Respect Valve's terms and rate limits. - Use data only for lawful purposes. ### Related actors More scrapers from the same author: - [iTunes Scraper](https://apify.com/benthepythondev/itunes-scraper) — music, podcasts, apps & more from Apple - [Anime Scraper](https://apify.com/benthepythondev/anime-scraper) — anime database from MyAnimeList (Jikan) - [Discogs Scraper](https://apify.com/benthepythondev/discogs-scraper) — vinyl, music releases & labels # Actor input Schema ## `searchQuery` (type: `string`): Game keyword to search on Steam (e.g. 'cyberpunk', 'racing', 'portal'). ## `country` (type: `string`): Two-letter country code for store/pricing (e.g. US, GB, DE, FR). ## `includeDetails` (type: `boolean`): Fetch developers, publishers, release date, genres, description and recommendations for each game. Slower but richer. ## `maxResults` (type: `integer`): Maximum number of games to return. ## Actor input object example ```json { "searchQuery": "cyberpunk", "country": "US", "includeDetails": true, "maxResults": 15 } ``` # 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 = { "searchQuery": "cyberpunk", "country": "US", "maxResults": 15 }; // Run the Actor and wait for it to finish const run = await client.actor("benthepythondev/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 = { "searchQuery": "cyberpunk", "country": "US", "maxResults": 15, } # Run the Actor and wait for it to finish run = client.actor("benthepythondev/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 '{ "searchQuery": "cyberpunk", "country": "US", "maxResults": 15 }' | apify call benthepythondev/steam-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=benthepythondev/steam-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Steam Store Scraper - Games, Prices & Ratings", "description": "Steam Scraper to extract game data from the Steam store by keyword. Get name, price, discount, Metacritic score, genres, developers, publishers, release date, description and platforms (Windows, Mac, Linux). For game price tracking, deal aggregators and games databases. Keyless and fast.", "version": "1.0", "x-build-id": "tvJO7VOGHnjzms9Se" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/benthepythondev~steam-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-benthepythondev-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/benthepythondev~steam-scraper/runs": { "post": { "operationId": "runs-sync-benthepythondev-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/benthepythondev~steam-scraper/run-sync": { "post": { "operationId": "run-sync-benthepythondev-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": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Game keyword to search on Steam (e.g. 'cyberpunk', 'racing', 'portal')." }, "country": { "title": "Country (Store)", "type": "string", "description": "Two-letter country code for store/pricing (e.g. US, GB, DE, FR).", "default": "US" }, "includeDetails": { "title": "Include Full Details", "type": "boolean", "description": "Fetch developers, publishers, release date, genres, description and recommendations for each game. Slower but richer.", "default": true }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of games to return.", "default": 30 } } }, "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 } } } } } } } } } } ```