# Steam Store Search Scraper (`easyapi/steam-store-search-scraper`) Actor ๐Ÿš€ Effortlessly scrape Steam game listings with our advanced Actor! ๐ŸŽฎ Collect comprehensive game data, including titles, prices, platforms, and reviews. Perfect for developers, marketers, and researchers seeking insights into the gaming market. ๐Ÿ“Š๐Ÿ•น๏ธ - **URL**: https://apify.com/easyapi/steam-store-search-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** Social media, SEO tools - **Stats:** 15 total users, 1 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## ๐ŸŽฎ Steam Store Search Scraper This Actor scrapes game listings from the Steam store based on a given keyword search. It utilizes Puppeteer with stealth mode to navigate through search results and extract detailed information about Steam games. ### โœจ Features - ๐Ÿ” Search for games on Steam using keywords - ๐Ÿ“Š Extract comprehensive game data including title, price, and platforms - ๐Ÿ–ผ๏ธ Collect game capsule images - ๐Ÿ“… Gather release dates and review information - ๐Ÿ”ข Configurable maximum number of results - ๐Ÿ•ต๏ธโ€โ™‚๏ธ Uses stealth mode to avoid detection - ๐Ÿ”„ Automatic pagination through infinite scrolling ### ๐Ÿ“ฅ Input The Actor accepts the following input parameters: - `keyword` (required): The search term to find games on Steam - `maxResults` (optional): The maximum number of game listings to scrape (default: 100) ### ๐Ÿ“ค Output The Actor outputs a dataset containing the following information for each game: - ๐Ÿ”— Game URL - ๐Ÿ–ผ๏ธ Capsule image URL - ๐Ÿ“› Game title - ๐Ÿ’ป Supported platforms - ๐Ÿ“… Release date - โญ Review result - ๐Ÿ‘ฅ Number of reviews - ๐Ÿ’ฐ Price ### ๐Ÿš€ Usage To use this Actor, simply provide a search keyword and optionally set the maximum number of results. The Actor will then navigate through Steam's search results, collecting game information until it reaches the specified limit or exhausts all available results. This Actor is perfect for game developers, marketers, or researchers looking to gather insights from Steam game listings. ### ๐Ÿ’ก Use Cases - ๐Ÿ“Š Market Analysis: Track pricing trends and game popularity - ๐ŸŽฏ Competitive Research: Monitor new releases and user reception - ๐Ÿ”ฌ Genre Studies: Analyze game characteristics across different categories - ๐Ÿ’ผ Business Intelligence: Gather data for informed decision-making in game development or publishing ### ๐Ÿ†˜ Support If you encounter any issues or have questions about using this Actor, please don't hesitate to reach out through Apify's support channels. #### Input Example A full explanation of an input example in JSON. ```` { "maxResults": 100, "keyword": "war" } ``` #### Output sample The results will be wrapped into a dataset which you can always find in theย **Storage**ย tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ``` \[ { "url": "https://store.steampowered.com/app/593380/XCOM\_2\_War\_of\_the\_Chosen/?snr=1\_7\_7\_151\_150\_2", "title": "XCOM 2: War of the Chosen", "platform": \[ "win", "mac", "linux" ], "releaseDate": "4 Dec, 2018", "reviewResult": "Very Positive", "reviewNum": "82% of the 3,438 user reviews for this game are positive.", "price": "12,30โ‚ฌ" }, { "url": "https://store.steampowered.com/app/2974330/God\_of\_War\_Ragnark\_\_Digital\_Deluxe\_Edition\_Upgrade/?snr=1\_7\_7\_151\_150\_2", "title": "God of War Ragnarรถk - Digital Deluxe Edition Upgrade", "platform": \[ "win" ], "releaseDate": "19 Sep, 2024", "reviewResult": "Positive", "reviewNum": "85% of the 28 user reviews for this game are positive.", "price": "69,99โ‚ฌ" }, ... ] ```` # Actor input Schema ## `keyword` (type: `string`): Enter the keyword to search for games on the Steam store ## `maxResults` (type: `integer`): Set the maximum number of game listings to scrape. The actor will stop when this limit is reached. ## `proxyConfiguration` (type: `object`): Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking. ## Actor input object example ```json { "keyword": "war", "maxResults": 100, "proxyConfiguration": {} } ```` # 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("easyapi/steam-store-search-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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("easyapi/steam-store-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call easyapi/steam-store-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easyapi/steam-store-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Steam Store Search Scraper", "description": "๐Ÿš€ Effortlessly scrape Steam game listings with our advanced Actor! ๐ŸŽฎ Collect comprehensive game data, including titles, prices, platforms, and reviews. Perfect for developers, marketers, and researchers seeking insights into the gaming market. ๐Ÿ“Š๐Ÿ•น๏ธ", "version": "0.0", "x-build-id": "XbXumKHB6nUaYWMKT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easyapi~steam-store-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easyapi-steam-store-search-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/easyapi~steam-store-search-scraper/runs": { "post": { "operationId": "runs-sync-easyapi-steam-store-search-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/easyapi~steam-store-search-scraper/run-sync": { "post": { "operationId": "run-sync-easyapi-steam-store-search-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": [ "keyword" ], "properties": { "keyword": { "title": "๐Ÿ”‘ Search Keyword", "type": "string", "description": "Enter the keyword to search for games on the Steam store", "default": "war" }, "maxResults": { "title": "๐Ÿ”ข Maximum Number of Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Set the maximum number of game listings to scrape. The actor will stop when this limit is reached.", "default": 100 }, "proxyConfiguration": { "title": "๐Ÿ” Proxy Configuration", "type": "object", "description": "Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking.", "default": {} } } }, "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 } } } } } } } } } } ```