# Steam Store Scraper MCP (`muzafferkadir/steam-mcp`) Actor A MCP tool to Search Steam games, fetch game details, user reviews, and featured/discounted games. - **URL**: https://apify.com/muzafferkadir/steam-mcp.md - **Developed by:** [Muzaffer Kadir YILMAZ](https://apify.com/muzafferkadir) (community) - **Categories:** MCP servers, Automation, AI - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / actor start 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 Scraper MCP An Apify Actor for Steam store data. One actor, four operations selected via `mode`: search games, get full game details, read user reviews, and list featured/discounted games. Built to be exposed as a tool through the [hosted Apify MCP server](https://mcp.apify.com). ### Modes | Mode | What it does | Required input | |------|--------------|----------------| | `search` | Search games by name | `term` | | `details` | Full details of one game (price, genres, platforms, metacritic…) | `appId` | | `reviews` | A game's user reviews (paginated) | `appId` | | `featured` | Featured & discounted games | – | ### Input | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `mode` | string | `search` | `search` \| `details` \| `reviews` \| `featured` | | `term` | string | – | Search term (mode `search`) | | `appId` | number | – | Steam App ID (modes `details`, `reviews`) | | `country` | string | `us` | Country code for region/pricing | | `language` | string | `english` | Result language (`all` for all review languages) | | `reviewFilter` | string | `recent` | Ordering: `recent` \| `updated` \| `all` (mode `reviews`) | | `reviewType` | string | `all` | Sentiment: `all` \| `positive` \| `negative` (mode `reviews`) | | `purchaseType` | string | `all` | Source: `all` \| `steam` \| `non_steam_purchase` (mode `reviews`) | | `dayRange` | number | – | Look back N days (1-365); only with `reviewFilter=all` (mode `reviews`) | | `includeOfftopicReviews` | boolean | `false` | Include review-bomb / off-topic activity (mode `reviews`) | | `maxItems` | number | all | Limit number of records | | `proxyConfiguration` | object | none | Optional proxy (helps with rate limits) | ### Examples #### Search ```json { "mode": "search", "term": "Hollow Knight" } ```` #### Details ```json { "mode": "details", "appId": 367520, "country": "tr" } ``` #### Reviews (latest 100) ```json { "mode": "reviews", "appId": 367520, "reviewFilter": "recent", "maxItems": 100 } ``` #### Featured / discounts ```json { "mode": "featured", "country": "us" } ``` ### Output Records are returned in the dataset. The shape depends on `mode`; every record includes `mode` and `scrapedAt`. ### Using as an MCP tool The actor is available through the hosted MCP server: ``` https://mcp.apify.com ``` Add it to any MCP client (Claude Desktop, Cursor, …) with your Apify token. The actor's input and output drive the tool definition and structured results automatically. ### Notes - For heavy use (lots of reviews or many games at once), enable `proxyConfiguration.useApifyProxy`. The actor automatically retries and rotates IPs when it runs into rate limits, and paces itself while paging through reviews. - Pricing and availability are region-aware. If a game is missing in `details` mode, try a different `country`. # Actor input Schema ## `mode` (type: `string`): What to do: search games by name, get full details of one game, fetch a game's reviews, or list featured/discounted games. ## `term` (type: `string`): Game name to search for. Required when mode is 'search'. ## `appId` (type: `integer`): Steam application ID. Required when mode is 'details' or 'reviews'. Find it in the store URL: store.steampowered.com/app/. ## `country` (type: `string`): Two-letter country code for region/pricing (e.g. us, tr, de). ## `language` (type: `string`): Result language (e.g. english, turkish). Use 'all' to include all review languages. ## `reviewFilter` (type: `string`): Ordering of reviews. Only used when mode is 'reviews'. ## `reviewType` (type: `string`): Filter reviews by sentiment. Only used when mode is 'reviews'. ## `purchaseType` (type: `string`): Filter reviews by how the game was obtained. Only used when mode is 'reviews'. ## `dayRange` (type: `integer`): Look back this many days (1-365) for helpful reviews. Only applies when Review filter is 'Most helpful (all-time)'. ## `includeOfftopicReviews` (type: `boolean`): If true, includes reviews Steam flags as off-topic review bombing. Default excludes them. ## `maxItems` (type: `integer`): Maximum number of records to return. Leave empty for all available. Recommended for 'reviews' mode to avoid rate limits. ## `proxyConfiguration` (type: `object`): Proxy settings. Helps avoid rate limits when making many requests. ## Actor input object example ```json { "mode": "search", "term": "Hollow Knight", "appId": 367520, "country": "us", "language": "english", "reviewFilter": "recent", "reviewType": "all", "purchaseType": "all", "includeOfftopicReviews": false, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (type: `string`): All records produced by the selected mode. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("muzafferkadir/steam-mcp").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 = {} # Run the Actor and wait for it to finish run = client.actor("muzafferkadir/steam-mcp").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 '{}' | apify call muzafferkadir/steam-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=muzafferkadir/steam-mcp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Steam Store Scraper MCP", "description": "A MCP tool to Search Steam games, fetch game details, user reviews, and featured/discounted games.", "version": "1.0", "x-build-id": "vmLneYVcdofRBXex6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/muzafferkadir~steam-mcp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-muzafferkadir-steam-mcp", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/muzafferkadir~steam-mcp/runs": { "post": { "operationId": "runs-sync-muzafferkadir-steam-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/muzafferkadir~steam-mcp/run-sync": { "post": { "operationId": "run-sync-muzafferkadir-steam-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Operation", "enum": [ "search", "details", "reviews", "featured" ], "type": "string", "description": "What to do: search games by name, get full details of one game, fetch a game's reviews, or list featured/discounted games.", "default": "search" }, "term": { "title": "Search term", "type": "string", "description": "Game name to search for. Required when mode is 'search'." }, "appId": { "title": "Steam App ID", "minimum": 1, "type": "integer", "description": "Steam application ID. Required when mode is 'details' or 'reviews'. Find it in the store URL: store.steampowered.com/app/." }, "country": { "title": "Country code", "type": "string", "description": "Two-letter country code for region/pricing (e.g. us, tr, de).", "default": "us" }, "language": { "title": "Language", "type": "string", "description": "Result language (e.g. english, turkish). Use 'all' to include all review languages.", "default": "english" }, "reviewFilter": { "title": "Review filter (reviews mode)", "enum": [ "recent", "updated", "all" ], "type": "string", "description": "Ordering of reviews. Only used when mode is 'reviews'.", "default": "recent" }, "reviewType": { "title": "Review sentiment (reviews mode)", "enum": [ "all", "positive", "negative" ], "type": "string", "description": "Filter reviews by sentiment. Only used when mode is 'reviews'.", "default": "all" }, "purchaseType": { "title": "Purchase source (reviews mode)", "enum": [ "all", "steam", "non_steam_purchase" ], "type": "string", "description": "Filter reviews by how the game was obtained. Only used when mode is 'reviews'.", "default": "all" }, "dayRange": { "title": "Day range (reviews mode)", "minimum": 1, "maximum": 365, "type": "integer", "description": "Look back this many days (1-365) for helpful reviews. Only applies when Review filter is 'Most helpful (all-time)'." }, "includeOfftopicReviews": { "title": "Include off-topic / review-bomb activity (reviews mode)", "type": "boolean", "description": "If true, includes reviews Steam flags as off-topic review bombing. Default excludes them.", "default": false }, "maxItems": { "title": "Maximum items", "minimum": 1, "type": "integer", "description": "Maximum number of records to return. Leave empty for all available. Recommended for 'reviews' mode to avoid rate limits." }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Helps avoid rate limits when making many requests.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```