# Steam Scraper — Games, Prices & Reviews (`ponderable_hydrometer/steam-scraper`) Actor Scrape Steam game metadata, prices, genres, Metacritic scores and player reviews via Valve's public store APIs. Look up by app id or store URL, or search by keyword. No proxies, no login. - **URL**: https://apify.com/ponderable\_hydrometer/steam-scraper.md - **Developed by:** [Ponderable Hydrometer](https://apify.com/ponderable_hydrometer) (community) - **Categories:** Developer tools, E-commerce, 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 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 Scraper — Games, Prices & Reviews Pull **Steam** game data — metadata, pricing, genres, Metacritic scores, recommendation counts and recent player reviews — straight from Valve's public store endpoints. No proxies, no login, no HTML scraping. Give it Steam app ids, store URLs, or keyword searches, and get back clean, structured data per game. ### Who it's for - **Game developers & publishers** — track your own and competitors' pricing, ratings and review sentiment. - **Market & competitor research** — pull a genre or keyword and compare games at scale. - **Analysts / investors** — monitor recommendation counts, Metacritic and update cadence. - **AI / data pipelines** — reviews and descriptions as structured input. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `apps` | array | — | Steam app ids or store URLs (e.g. `730`, `https://store.steampowered.com/app/570/`) | | `searchTerms` | array | — | Keywords to search the store; matching games are returned | | `country` | string | `us` | Country code for pricing | | `language` | string | `english` | Language for store text (genres, description) | | `includeReviews` | boolean | `false` | Also fetch recent player reviews (embedded per game) | | `maxReviews` | integer | `100` | Reviews per game when enabled | | `reviewLanguage` | string | `all` | Review language filter (`all` or e.g. `english`) | | `maxAppsPerSearch` | integer | `10` | Games returned per search term | Provide at least one of `apps` or `searchTerms`. A single value or a list both work. ### Output One row per game: ```json { "appId": 413150, "name": "Stardew Valley", "type": "game", "developers": ["ConcernedApe"], "publishers": ["ConcernedApe"], "isFree": false, "price": "$14.99", "priceCents": 1499, "currency": "USD", "discountPercent": 0, "genres": ["Indie", "RPG", "Simulation"], "categories": ["Single-player", "Multi-player", "Steam Achievements"], "releaseDate": "26 Feb, 2016", "metacritic": 89, "recommendations": 700000, "platforms": { "windows": true, "mac": true, "linux": true }, "url": "https://store.steampowered.com/app/413150", "reviews": [ { "votedUp": true, "votesUp": 12, "playtimeHours": 45, "language": "english", "created": "2026-…", "content": "…" } ] } ```` `reviews` is present only when `includeReviews` is on. ### Notes & limits - Data comes from Valve's public store `appdetails`, community `SearchApps`, and `appreviews` endpoints — no scraping tricks required. - Reviews are fetched **most-recent first** and capped by `maxReviews`, not the full history. - Pricing is **per country** — set `country` accordingly. Unreleased games may have no price. - Steam store search is broad; use specific terms or exact app ids for precise results. - Public data; you are responsible for using the output in line with your own legal and compliance requirements. # Actor input Schema ## `apps` (type: `array`): Games to fetch — Steam app ids or store URLs. Examples: "730", "https://store.steampowered.com/app/570/Dota\_2/". ## `searchTerms` (type: `array`): Optional keywords to search the Steam store; matching games are returned. Example: "roguelike". ## `country` (type: `string`): Two-letter country code for pricing, e.g. us, gb, de. ## `language` (type: `string`): Language for store text (genres, descriptions), e.g. english, german. ## `includeReviews` (type: `boolean`): Also fetch recent player reviews for each game (embedded in the game row). ## `maxReviews` (type: `integer`): Cap on reviews fetched per game when 'Include reviews' is on. ## `reviewLanguage` (type: `string`): Language filter for reviews ("all" for every language, or e.g. english). ## `maxAppsPerSearch` (type: `integer`): How many matching games to return per search term. ## Actor input object example ```json { "apps": [ "730", "https://store.steampowered.com/app/570/Dota_2/" ], "country": "us", "language": "english", "includeReviews": false, "maxReviews": 100, "reviewLanguage": "all", "maxAppsPerSearch": 10 } ``` # 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 = { "apps": [ "730", "https://store.steampowered.com/app/570/Dota_2/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ponderable_hydrometer/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 = { "apps": [ "730", "https://store.steampowered.com/app/570/Dota_2/", ] } # Run the Actor and wait for it to finish run = client.actor("ponderable_hydrometer/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 '{ "apps": [ "730", "https://store.steampowered.com/app/570/Dota_2/" ] }' | apify call ponderable_hydrometer/steam-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ponderable_hydrometer/steam-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Steam Scraper — Games, Prices & Reviews", "description": "Scrape Steam game metadata, prices, genres, Metacritic scores and player reviews via Valve's public store APIs. Look up by app id or store URL, or search by keyword. No proxies, no login.", "version": "0.1", "x-build-id": "5yP7FUBWeBcr5g8Uq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ponderable_hydrometer~steam-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ponderable_hydrometer-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ponderable_hydrometer~steam-scraper/runs": { "post": { "operationId": "runs-sync-ponderable_hydrometer-steam-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ponderable_hydrometer~steam-scraper/run-sync": { "post": { "operationId": "run-sync-ponderable_hydrometer-steam-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "apps": { "title": "Games", "type": "array", "description": "Games to fetch — Steam app ids or store URLs. Examples: \"730\", \"https://store.steampowered.com/app/570/Dota_2/\".", "items": { "type": "string" } }, "searchTerms": { "title": "Search terms", "type": "array", "description": "Optional keywords to search the Steam store; matching games are returned. Example: \"roguelike\".", "items": { "type": "string" } }, "country": { "title": "Country (currency)", "type": "string", "description": "Two-letter country code for pricing, e.g. us, gb, de.", "default": "us" }, "language": { "title": "Language", "type": "string", "description": "Language for store text (genres, descriptions), e.g. english, german.", "default": "english" }, "includeReviews": { "title": "Include reviews", "type": "boolean", "description": "Also fetch recent player reviews for each game (embedded in the game row).", "default": false }, "maxReviews": { "title": "Max reviews per game", "minimum": 1, "type": "integer", "description": "Cap on reviews fetched per game when 'Include reviews' is on.", "default": 100 }, "reviewLanguage": { "title": "Review language", "type": "string", "description": "Language filter for reviews (\"all\" for every language, or e.g. english).", "default": "all" }, "maxAppsPerSearch": { "title": "Max games per search term", "minimum": 1, "type": "integer", "description": "How many matching games to return per search term.", "default": 10 } } }, "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 } } } } } } } } } } ```