# Steam Player Count & Game Data Scraper (`goat255/steam-scraper`) Actor Scrape Steam without a login. Search games by name or pass app IDs and get one enriched row per game: price and discount, release date, developers, genres, Metacritic score, review sentiment, live player count, and estimated ownership with community tags. Any country storefront. - **URL**: https://apify.com/goat255/steam-scraper.md - **Developed by:** [Goutam Soni](https://apify.com/goat255) (community) - **Categories:** E-commerce, Videos, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Player Count & Game Data Scraper Get Steam game data enriched with the numbers that actually matter, no login or API key. Search games by name or pass app IDs, and every game comes back as one clean row with price and discount, release date, developers, genres, Metacritic score, review sentiment, **the number of players in the game right now**, and **estimated ownership** with community tags. ### What it does - **Search or direct IDs** - find games by name, or enrich specific Steam app IDs. - **Live player count** - how many people are in the game at this moment. - **Review sentiment** - total reviews, positive and negative counts, positive percentage, and the score wording (for example "Overwhelmingly Positive"). - **Ownership estimate** - estimated owner range, peak concurrent players, average and median playtime, and community tags. - **Any country storefront** - prices and availability vary by country. - **Toggleable enrichment** - switch off what you do not need for faster, cheaper runs. Common uses: game market research, competitor and genre tracking, price and discount monitoring, launch-day and trend tracking, and building a games dataset. ### Input | Field | Type | Description | |---|---|---| | `searchQueries` | array | Game names to search. Example: `stardew valley`. | | `appIds` | array | Steam app IDs to enrich directly. Example: `1145360`. | | `country` | string | Two-letter storefront code (default `us`). | | `includePlayerCount` | boolean | Add live player count. Default true. | | `includeReviewSummary` | boolean | Add review sentiment. Default true. | | `includeOwnershipEstimate` | boolean | Add ownership, playtime and tags. Default true. | | `maxItemsPerSource` | integer | Cap on games per search. Default 10, up to 100. | | `concurrency` | integer | Games enriched in parallel. Default 4. | | `proxyConfiguration` | object | Optional. Works without a proxy. | At least one of `searchQueries` or `appIds` is required. #### Example input ```json { "searchQueries": ["stardew valley", "baldurs gate"], "country": "us", "includePlayerCount": true, "includeOwnershipEstimate": true, "maxItemsPerSource": 10 } ```` ### Output Each item is one enriched game. ```json { "appId": 413150, "name": "Stardew Valley", "type": "game", "isFree": false, "price": "$14.99", "priceValue": 14.99, "currency": "USD", "discountPercent": 0, "releaseDate": "26 Feb, 2016", "comingSoon": false, "developers": ["Example Studio"], "publishers": ["Example Studio"], "genres": ["Indie", "RPG", "Simulation"], "categories": ["Single-player", "Multi-player", "Steam Cloud"], "metacritic": 89, "requiredAge": 0, "platforms": ["windows", "mac", "linux"], "shortDescription": "You have inherited your grandfather's old farm plot...", "headerImage": "https://example.com/header.jpg", "reviewScoreDesc": "Overwhelmingly Positive", "totalReviews": 1024237, "positiveReviews": 1009184, "negativeReviews": 15053, "positivePercent": 98.5, "livePlayers": 74218, "ownersEstimate": "20,000,000 .. 50,000,000", "peakConcurrent": 41234, "averagePlaytimeMinutes": 5321, "medianPlaytimeMinutes": 2870, "communityTags": ["Farming Sim", "Pixel Graphics", "Multiplayer", "Life Sim", "RPG"], "country": "us", "url": "https://store.steampowered.com/app/413150/", "scrapedAt": "2026-07-18T13:40:00.000Z" } ``` Any enrichment you switch off, or that a game does not have (for example a live count for an unreleased title), comes back as `null`, so the shape is always the same. ### Notes - No login and no API key. Set your game names and run. - Live player counts change constantly, so schedule the run if you want a time series. - Ownership figures are estimates, useful for relative comparison rather than exact sales. - Switch off enrichments you do not need to make runs faster and cheaper. **Found this useful?** [Leave a quick review](https://apify.com/goat255/steam-scraper/reviews). It takes a few seconds and it genuinely helps other people find the actor. # Actor input Schema ## `searchQueries` (type: `array`): Game names to search. Each match is enriched with price, reviews, live players and ownership estimates. ## `appIds` (type: `array`): Specific Steam app IDs to enrich directly, e.g. "1145360". Skips search. ## `country` (type: `string`): Two-letter country code for pricing and availability (e.g. us, gb, sg, in). ## `includePlayerCount` (type: `boolean`): Add the number of players in the game right now. ## `includeReviewSummary` (type: `boolean`): Add total reviews, positive and negative counts, positive percentage and the score wording. ## `includeOwnershipEstimate` (type: `boolean`): Add estimated owner range, peak concurrent players, playtime averages and community tags. ## `maxItemsPerSource` (type: `integer`): Cap on how many matching games to enrich per search query. ## `concurrency` (type: `integer`): How many games to enrich in parallel. ## `proxyConfiguration` (type: `object`): Optional. This Actor works without a proxy; enable it to spread requests across IPs on large runs. ## Actor input object example ```json { "searchQueries": [ "baldurs gate", "stardew valley" ], "appIds": [ "1145360", "413150" ], "country": "us", "includePlayerCount": true, "includeReviewSummary": true, "includeOwnershipEstimate": true, "maxItemsPerSource": 10, "concurrency": 4, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `games` (type: `string`): No description # 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 = { "searchQueries": [ "hades" ], "appIds": [], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("goat255/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 = { "searchQueries": ["hades"], "appIds": [], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("goat255/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 '{ "searchQueries": [ "hades" ], "appIds": [], "proxyConfiguration": { "useApifyProxy": false } }' | apify call goat255/steam-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=goat255/steam-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Steam Player Count & Game Data Scraper", "description": "Scrape Steam without a login. Search games by name or pass app IDs and get one enriched row per game: price and discount, release date, developers, genres, Metacritic score, review sentiment, live player count, and estimated ownership with community tags. Any country storefront.", "version": "0.1", "x-build-id": "qs5I8hBbKlY185taE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/goat255~steam-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-goat255-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/goat255~steam-scraper/runs": { "post": { "operationId": "runs-sync-goat255-steam-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/goat255~steam-scraper/run-sync": { "post": { "operationId": "run-sync-goat255-steam-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "searchQueries": { "title": "Search queries", "type": "array", "description": "Game names to search. Each match is enriched with price, reviews, live players and ownership estimates.", "items": { "type": "string" } }, "appIds": { "title": "Steam app IDs", "type": "array", "description": "Specific Steam app IDs to enrich directly, e.g. \"1145360\". Skips search.", "items": { "type": "string" } }, "country": { "title": "Country storefront", "type": "string", "description": "Two-letter country code for pricing and availability (e.g. us, gb, sg, in).", "default": "us" }, "includePlayerCount": { "title": "Include live player count", "type": "boolean", "description": "Add the number of players in the game right now.", "default": true }, "includeReviewSummary": { "title": "Include review sentiment", "type": "boolean", "description": "Add total reviews, positive and negative counts, positive percentage and the score wording.", "default": true }, "includeOwnershipEstimate": { "title": "Include ownership estimate", "type": "boolean", "description": "Add estimated owner range, peak concurrent players, playtime averages and community tags.", "default": true }, "maxItemsPerSource": { "title": "Max games per search", "minimum": 1, "maximum": 100, "type": "integer", "description": "Cap on how many matching games to enrich per search query.", "default": 10 }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many games to enrich in parallel.", "default": 4 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional. This Actor works without a proxy; enable it to spread requests across IPs on large runs." } } }, "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 } } } } } } } } } } ```