# Steam Game Data — Prices, Genres, Reviews & Owners (`omao/steam`) Actor Get Steam game data by app ID: name, price, discount, developers, publishers, genres, release date, Metacritic score, description, platforms — plus SteamSpy owner estimates and review counts. Powered by the public Steam Store & SteamSpy APIs. No API key. - **URL**: https://apify.com/omao/steam.md - **Developed by:** [Marouane Oulabass](https://apify.com/omao) (community) - **Categories:** Developer tools, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 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. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Game Data — Prices, Genres, Reviews & Owners to JSON **Get rich Steam game data by app ID — as clean JSON.** Pass Steam app IDs and get back a tidy row per game: name, price, discount, developers, publishers, genres, release date, Metacritic score, description, platforms — plus SteamSpy owner estimates and review counts. Powered by the public Steam Store & SteamSpy APIs — no API key. The easy way to build game-market datasets for research, pricing and analytics. ### Who uses this - 🎮 **Game analysts & publishers** — benchmark prices, genres and reviews. - 📊 **Market researchers** — study ownership estimates and player counts. - 💰 **Deal & price trackers** — monitor discounts across titles. - 🤖 **Data & AI pipelines** — feed clean game metadata into your models. - 🧑‍💻 **Developers** — a clean Steam data endpoint by app ID. ### What you get — one clean row per game | Field | Description | |---|---| | `name` + `appId` | Game & Steam app ID | | `priceFormatted` + `priceCents` + `discountPercent` | Pricing | | `isFree` | Free-to-play flag | | `developers` + `publishers` | Studios | | `genres` + `categories` | Genres & features | | `releaseDate` + `comingSoon` | Release info | | `metacritic` | Metacritic score | | `windows` + `mac` + `linux` | Platforms | | `owners` + `peakPlayersYesterday` | SteamSpy estimates | | `positiveReviews` + `negativeReviews` | Review counts | | `headerImage` + `storeUrl` | Image & link | ### Example **Input** ```json { "appIds": ["730", "570"], "country": "us", "includeSteamSpy": true } ```` **Output (one item)** ```json { "appId": 730, "name": "Counter-Strike 2", "isFree": true, "genres": ["Action", "Free To Play"], "developers": ["Valve"], "publishers": ["Valve"], "metacritic": 83, "windows": true, "mac": false, "linux": true, "storeUrl": "https://store.steampowered.com/app/730" } ``` ### Why this actor - ✅ **Two sources combined** — Steam Store + SteamSpy in one row. - 💰 **Full pricing** — price, discount and currency by country. - 👥 **Ownership & players** — SteamSpy owner ranges and peak players. - ⭐ **Reviews & Metacritic** — sentiment signals included. - ⚡ **Fast & affordable** — pay only per game returned. No API key. ### Input options - `appIds` *(required)* — Steam application IDs. - `country` — store country for pricing (default `us`). - `includeSteamSpy` — add SteamSpy owner/player/review estimates (default true). ### FAQ **Where do I find an app ID?** It's in the Steam store URL: `store.steampowered.com/app/`. **Do I get owner estimates?** Yes — with `includeSteamSpy`, you get SteamSpy owner ranges, peak players and review counts. **Can I get prices in my currency?** Yes — set `country` to the store region you want. **How fresh is the data?** Live from the Steam Store & SteamSpy APIs on every run. **Can I export to CSV/Excel/Google Sheets?** Yes — the dataset exports to JSON, CSV, Excel and HTML, or pull it via the API. **What does it cost?** Pay-per-game — you're only charged for games actually returned. *** *Tip: track a list of app IDs weekly and diff `discountPercent` to catch sales as they start.* # Actor input Schema ## `appIds` (type: `array`): Steam application IDs to fetch (e.g. 730 = CS2, 570 = Dota 2, 1245620 = Elden Ring). ## `country` (type: `string`): Two-letter country code for pricing (e.g. us, gb, fr). ## `includeSteamSpy` (type: `boolean`): Also fetch owner estimates and review counts from SteamSpy. ## `healthCheckMode` (type: `boolean`): Internal monitoring: fetch a canary game and FAIL if broken (no billing). ## Actor input object example ```json { "appIds": [ "1245620", "292030" ], "country": "us", "includeSteamSpy": true, "healthCheckMode": false } ``` # Actor output Schema ## `games` (type: `string`): All games (price, genres, developers, Metacritic, owners, reviews). # 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 = { "appIds": [ "730", "570" ] }; // Run the Actor and wait for it to finish const run = await client.actor("omao/steam").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 = { "appIds": [ "730", "570", ] } # Run the Actor and wait for it to finish run = client.actor("omao/steam").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 '{ "appIds": [ "730", "570" ] }' | apify call omao/steam --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=omao/steam", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Steam Game Data — Prices, Genres, Reviews & Owners", "description": "Get Steam game data by app ID: name, price, discount, developers, publishers, genres, release date, Metacritic score, description, platforms — plus SteamSpy owner estimates and review counts. Powered by the public Steam Store & SteamSpy APIs. No API key.", "version": "0.1", "x-build-id": "b3sIr0SrB0O8XU0xs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/omao~steam/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-omao-steam", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/omao~steam/runs": { "post": { "operationId": "runs-sync-omao-steam", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/omao~steam/run-sync": { "post": { "operationId": "run-sync-omao-steam", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "appIds" ], "properties": { "appIds": { "title": "Steam app IDs", "type": "array", "description": "Steam application IDs to fetch (e.g. 730 = CS2, 570 = Dota 2, 1245620 = Elden Ring).", "items": { "type": "string" } }, "country": { "title": "Country", "type": "string", "description": "Two-letter country code for pricing (e.g. us, gb, fr).", "default": "us" }, "includeSteamSpy": { "title": "Include SteamSpy stats", "type": "boolean", "description": "Also fetch owner estimates and review counts from SteamSpy.", "default": true }, "healthCheckMode": { "title": "Health-check mode", "type": "boolean", "description": "Internal monitoring: fetch a canary game and FAIL if broken (no billing).", "default": false } } }, "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 } } } } } } } } } } ```