# Steam Store Game Catalog & Metadata Scraper (`jungle_synthesizer/steam-store-game-catalog-metadata-scraper`) Actor Crawl Steam's full game catalog and return rich per-app metadata: genres, categories, platforms, Metacritic score, DLC tree, regional pricing matrix, screenshots, and more. Supports full-catalog crawl, direct appId list, or keyword search. Uses Steam public APIs — no auth required. - **URL**: https://apify.com/jungle\_synthesizer/steam-store-game-catalog-metadata-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Games, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 Catalog & Metadata Scraper Crawl Steam's full game catalog and return rich structured metadata per app. Supports keyword search, direct App ID list input, or full-catalog mode via Steam's store search pagination. Powered by Steam's public `appdetails` API — no authentication required. ### What It Does For each Steam app discovered (or provided), this actor fetches: - **Core metadata**: name, type (game / DLC / software / demo), developer, publisher, release date - **Descriptions**: short marketing description and full HTML description - **Genres & categories**: genre labels and Steam feature categories - **Platforms**: Windows / Mac / Linux support flags - **Metacritic**: score and URL (when available) - **Pricing**: default price overview plus a configurable multi-country regional pricing matrix - **DLC tree**: list of all DLC app IDs linked to the title - **Community**: total Steam recommendations and achievements count - **Media**: header image URL, screenshot list, and movie/trailer list - **Languages**: supported languages string - **Age rating**: required age gate value and controller support level ### Use Cases - **Game database building**: assemble a structured catalog of all Steam games for a RAWG/IGDB-style database - **Pricing intelligence**: track regional price differences and discount patterns across countries - **Market analysis**: analyze genre/category distributions, platform coverage, and Metacritic trends - **Game discovery apps**: power recommendation engines with rich metadata - **DLC mapping**: build a complete DLC tree for franchise analysis ### Input | Field | Type | Description | |-------|------|-------------| | `searchQuery` | string | Keyword filter (e.g. `"open world rpg"`). Leave empty for full catalog. | | `appIds` | array | Specific Steam App IDs to fetch (overrides `searchQuery`). One ID per entry. | | `countryCodes` | array | ISO country codes for regional pricing (default: `us`, `gb`, `de`). Leave empty to skip. | | `maxItems` | integer | Maximum records to return (required). | | `maxConcurrency` | integer | Concurrent API requests (default 5). | ### Output Each record corresponds to one Steam app: ```json { "steam_appid": 730, "name": "Counter-Strike 2", "type": "game", "is_free": true, "developers": "Valve", "publishers": "Valve", "release_date": "27 Sep, 2023", "genres": "Action, Free to Play", "categories": "Multi-player, PvP, Online PvP, Steam Achievements, Full controller support", "platforms": "{\"windows\":true,\"mac\":false,\"linux\":true}", "recommendations_total": 1520340, "achievements_total": 167, "regional_prices": "{\"us\":{\"currency\":\"USD\",\"initial\":0,\"final\":0,\"discount_percent\":0},...}", "header_image": "https://cdn.akamai.steamstatic.com/...", "source_url": "https://store.steampowered.com/app/730/" } ```` ### Rate Limits Steam enforces approximately 200 `appdetails` requests per 5 minutes per IP. The actor uses a 1.6-second inter-request delay by default. For large-scale catalog runs, set `maxConcurrency` to 1-3. Regional pricing fan-out adds one API call per country code per app. ### Notes - Apps with `success: false` in the Steam API response are silently skipped - Price fields are in the currency's smallest unit (e.g. cents: `999` = $9.99) - Free-to-play apps have `is_free: true` and `price_overview: null` # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `searchQuery` (type: `string`): Keyword search query to filter the Steam catalog (e.g. "open world rpg", "indie platformer"). Leave empty to crawl the full catalog via Steam store search pagination. ## `appIds` (type: `array`): Specific Steam app IDs to fetch metadata for. Overrides searchQuery when provided. Provide one ID per line (e.g. 570, 730, 440). ## `countryCodes` (type: `array`): ISO country codes for regional pricing fan-out (e.g. \["us","gb","de","jp","br"]). Leave empty to skip regional pricing (faster). Each code adds one API call per app. ## `maxItems` (type: `integer`): Maximum number of app metadata records to return (across all pages). ## `maxConcurrency` (type: `integer`): Maximum concurrent appdetails API requests. Keep low to avoid rate limits (default 5). Steam enforces ~200 req/5 min per IP. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchQuery": "action rpg", "appIds": [], "countryCodes": [ "us", "gb", "de" ], "maxItems": 15, "maxConcurrency": 5 } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchQuery": "action rpg", "appIds": [], "countryCodes": [ "us", "gb", "de" ], "maxItems": 15, "maxConcurrency": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/steam-store-game-catalog-metadata-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchQuery": "action rpg", "appIds": [], "countryCodes": [ "us", "gb", "de", ], "maxItems": 15, "maxConcurrency": 5, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/steam-store-game-catalog-metadata-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchQuery": "action rpg", "appIds": [], "countryCodes": [ "us", "gb", "de" ], "maxItems": 15, "maxConcurrency": 5 }' | apify call jungle_synthesizer/steam-store-game-catalog-metadata-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/steam-store-game-catalog-metadata-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Steam Store Game Catalog & Metadata Scraper", "description": "Crawl Steam's full game catalog and return rich per-app metadata: genres, categories, platforms, Metacritic score, DLC tree, regional pricing matrix, screenshots, and more. Supports full-catalog crawl, direct appId list, or keyword search. Uses Steam public APIs — no auth required.", "version": "0.1", "x-build-id": "IR8gt1ZNBkbh3HRqE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~steam-store-game-catalog-metadata-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-steam-store-game-catalog-metadata-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/jungle_synthesizer~steam-store-game-catalog-metadata-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-steam-store-game-catalog-metadata-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/jungle_synthesizer~steam-store-game-catalog-metadata-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-steam-store-game-catalog-metadata-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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Keyword search query to filter the Steam catalog (e.g. \"open world rpg\", \"indie platformer\"). Leave empty to crawl the full catalog via Steam store search pagination." }, "appIds": { "title": "App IDs", "type": "array", "description": "Specific Steam app IDs to fetch metadata for. Overrides searchQuery when provided. Provide one ID per line (e.g. 570, 730, 440).", "items": { "type": "string" } }, "countryCodes": { "title": "Country Codes for Regional Pricing", "type": "array", "description": "ISO country codes for regional pricing fan-out (e.g. [\"us\",\"gb\",\"de\",\"jp\",\"br\"]). Leave empty to skip regional pricing (faster). Each code adds one API call per app.", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of app metadata records to return (across all pages).", "default": 15 }, "maxConcurrency": { "title": "Max Concurrency", "type": "integer", "description": "Maximum concurrent appdetails API requests. Keep low to avoid rate limits (default 5). Steam enforces ~200 req/5 min per IP.", "default": 5 } } }, "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 } } } } } } } } } } ```