# Steam Store Games Scraper (`mangudai/steam-store-games-scraper`) Actor - **URL**: https://apify.com/mangudai/steam-store-games-scraper.md - **Developed by:** [MangudΓ€i](https://apify.com/mangudai) (community) - **Categories:** Developer tools, E-commerce, Open source - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.95 / 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 Store Games Scraper Pull structured game data from the Steam store. Search by keyword, or hand it a list of app IDs or store URLs, and get one clean row per game: price and discount, genres and categories, developers and publishers, release date, Metacritic score, aggregate review counts, and player stats from SteamSpy. It reads Steam's own public JSON endpoints. No login, no API key, no captcha. Route it through Apify Proxy for larger runs. ### What it collects For each game you get up to 40 fields, including: - name, app ID, type, store URL, short description - price, currency, discount percent, free-to-play flag - developers, publishers, genres, categories - release date and coming-soon flag - Metacritic score and link - review score label plus total positive, negative, and overall review counts - SteamSpy owner range, peak concurrent players, and playtime - supported platforms (Windows, Mac, Linux), controller support, required age - DLC count, achievement count, supported languages - header image, capsule image, screenshots, and trailer names ### Input - searchTerms: keywords to search the store, each resolved to matching games - appIds: Steam app IDs or store URLs - startUrls: store app URLs, app ID read from each - resultsPerSearch: how many games to take per search term - maxItems: overall cap, 0 means no cap - country and language: control pricing, availability, and store text - includeSteamSpy and includeReviewSummary: toggle the extra stat lookups - proxyConfiguration: Apify Proxy settings The default run searches for stardew valley and the witcher, so it returns a filled dataset out of the box. ### Output One dataset item per game. Export to JSON, CSV, or Excel, pull it over the API, or feed it into another tool. ### Pricing Pay per result. You are charged for each game returned, so you only pay for data you get. ### Notes Steam's endpoints are stable and open, but the store search layout can shift. If a search term returns fewer games than expected, pass app IDs or store URLs directly for exact control. # Actor input Schema ## `searchTerms` (type: `array`): Keywords to search the Steam store. Each term is resolved to matching games. ## `appIds` (type: `array`): Steam app IDs (for example 292030) or store URLs. ## `startUrls` (type: `array`): Steam store app URLs. The app ID is read from each URL. ## `resultsPerSearch` (type: `integer`): How many games to take from each search term. ## `maxItems` (type: `integer`): Overall cap on the number of games scraped. 0 means no cap. ## `country` (type: `string`): Two-letter country code used for pricing and availability. ## `language` (type: `string`): Language code for store text, for example en, fr, de. ## `includeSteamSpy` (type: `boolean`): Add ownership range, concurrent players, and playtime from SteamSpy. ## `includeReviewSummary` (type: `boolean`): Add the aggregate review score and positive/negative review counts. ## `proxyConfiguration` (type: `object`): Route requests through Apify Proxy. Recommended for larger runs. ## Actor input object example ```json { "searchTerms": [ "stardew valley", "the witcher" ], "resultsPerSearch": 10, "maxItems": 0, "country": "us", "language": "en", "includeSteamSpy": true, "includeReviewSummary": true, "proxyConfiguration": { "useApifyProxy": true } } ```` # 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 = { "searchTerms": [ "stardew valley", "the witcher" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("mangudai/steam-store-games-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "searchTerms": [ "stardew valley", "the witcher", ], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("mangudai/steam-store-games-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchTerms": [ "stardew valley", "the witcher" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call mangudai/steam-store-games-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mangudai/steam-store-games-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Steam Store Games Scraper", "description": null, "version": "0.0", "x-build-id": "qNGAvwxlkavHTkKAF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mangudai~steam-store-games-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mangudai-steam-store-games-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mangudai~steam-store-games-scraper/runs": { "post": { "operationId": "runs-sync-mangudai-steam-store-games-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mangudai~steam-store-games-scraper/run-sync": { "post": { "operationId": "run-sync-mangudai-steam-store-games-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchTerms": { "title": "Search terms", "type": "array", "description": "Keywords to search the Steam store. Each term is resolved to matching games.", "default": [ "stardew valley" ], "items": { "type": "string" } }, "appIds": { "title": "App IDs or store URLs", "type": "array", "description": "Steam app IDs (for example 292030) or store URLs.", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Steam store app URLs. The app ID is read from each URL.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "resultsPerSearch": { "title": "Results per search term", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many games to take from each search term.", "default": 10 }, "maxItems": { "title": "Max games", "minimum": 0, "type": "integer", "description": "Overall cap on the number of games scraped. 0 means no cap.", "default": 0 }, "country": { "title": "Country (cc)", "type": "string", "description": "Two-letter country code used for pricing and availability.", "default": "us" }, "language": { "title": "Language (l)", "type": "string", "description": "Language code for store text, for example en, fr, de.", "default": "en" }, "includeSteamSpy": { "title": "Include SteamSpy stats", "type": "boolean", "description": "Add ownership range, concurrent players, and playtime from SteamSpy.", "default": true }, "includeReviewSummary": { "title": "Include review summary", "type": "boolean", "description": "Add the aggregate review score and positive/negative review counts.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Route requests through Apify Proxy. Recommended for larger runs.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```