# Steam Games Scraper (`newbs/gamescout-steam-scraper`) Actor Scrape Steam games, new releases, discounts, demos, coming soon titles, and app updates with normalized prices, genres, tags, release dates, and URLs. - **URL**: https://apify.com/newbs/gamescout-steam-scraper.md - **Developed by:** [Newbs](https://apify.com/newbs) (community) - **Categories:** Games, E-commerce - **Stats:** 2 total users, 1 monthly users, 33.3% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Games Scraper Scrape Steam games and store signals for discovery, pricing, release tracking, demos, and game updates. The actor returns normalized dataset rows that are ready for search indexes, watch lists, dashboards, or downstream enrichment pipelines. ### What it can scrape - Steam search results by keyword. - Latest Steam releases by category, genre, or tag. - Steam specials and current discounts. - Steam demos and coming soon titles. - Steam app news and update announcements by app ID, URL, or title query. ### Useful inputs - `mode`: `search`, `new_releases`, `deals`, `demos`, `coming_soon`, or `updates`. - `query`: game title or search text. - `category`: Steam tag, genre, or category filter such as `rpg`, `strategy`, or `roguelike`. - `gameId`: Steam app ID for update checks. - `gameUrl`: Steam store URL for update checks. - `maxItems`: maximum records to return. ### Output fields Each result includes `platform`, `platformGameId`, `title`, `url`, `matchSource`, `signalTypes`, `description`, `developer`, `publisher`, `releaseDate`, `lastUpdatedAt`, `coverImageUrl`, `tags`, `genres`, `supportedSystems`, `hasDemo`, `demoUrl`, `isComingSoon`, `isReleased`, `currentPrice`, `originalPrice`, `currency`, `discountPercent`, `isFree`, `sourceFetchedAt`, and raw source data. Rows also include `sourceKind`, `sourceConfidence`, and `sourceNotes` so downstream apps can distinguish official Steam API data from weaker platform fallbacks. ### Billing result definition One result is one normalized Steam game, discount, release, demo, coming-soon, app news, or update row written to the default dataset. The `SUMMARY` key-value record and optional Firebase cache writes are not dataset results. If you run this actor with Apify pay-per-event monetization, price the `result-item` event so pricing maps directly to delivered dataset rows. ### MCP connector export Optionally select `outputConnectors` to send delivered Steam rows to your own MCP-connected tools through Apify's MCP proxy. Auto mode can call common send/post/write/log tools with a markdown or JSON payload. For tools with strict schemas, set `connectorToolName` and `connectorToolArgumentsJson`, using template values such as `{{markdown}}`, `{{records}}`, `{{summary}}`, `{{datasetId}}`, and `{{runUrl}}`. ### Example inputs ```json { "mode": "new_releases", "category": "rpg", "maxItems": 10 } ```` ```json { "mode": "updates", "gameId": "1145360", "maxItems": 5 } ``` # Actor input Schema ## `platform` (type: `string`): Optional when the actor is deployed as a fixed platform actor. ## `mode` (type: `string`): Discovery signal to collect. ## `query` (type: `string`): Required for search mode. Also used to narrow browse/deals and resolve update checks when gameId/gameUrl is omitted. ## `category` (type: `string`): Optional category/genre filter, for example rpg, action, roguelike, strategy, or a platform-specific category id. ## `gameId` (type: `string`): Optional platform game id for update checks, for example a Steam appid, GOG product id, Epic offer id, or itch game id. ## `gameUrl` (type: `string`): Optional platform store page URL for update checks. ## `maxItems` (type: `integer`): Maximum normalized game records to push to the default dataset. When the actor is monetized with the result-item event, this is the maximum billable result count for the run. ## `countryCode` (type: `string`): Two-letter region for price and availability where the platform supports it. ## `currencyCode` (type: `string`): Currency code used for normalized prices when source data omits a currency. ## `language` (type: `string`): Locale/language requested from platform endpoints. ## `includeDetails` (type: `boolean`): Fetch detail pages/API records when useful and cheap. ## `failOnEmpty` (type: `boolean`): Fail the run when no records were found. Disable for expected no-match checks. ## `maxPages` (type: `integer`): Fallback pagination cap for platforms that do not expose direct filtered endpoints. ## `outputConnectors` (type: `array`): Optional MCP connectors that receive the delivered scrape results after the dataset is written. Use this to post results to tools such as Slack, Notion, GitHub, Supabase, or another MCP-compatible destination without giving this Actor your third-party credentials. ## `connectorToolName` (type: `string`): Optional exact MCP tool to call on each selected connector. Leave empty to auto-select a send/post/write/log/create/insert/upsert/append tool from the connector. ## `connectorToolArgumentsJson` (type: `string`): Optional JSON object used as the exact MCP tool arguments. Template values are supported: {{markdown}}, {{summaryText}}, {{payloadJson}}, {{recordsJson}}, {{records}}, {{summary}}, {{payload}}, {{runId}}, {{datasetId}}, and {{runUrl}}. ## `connectorDestination` (type: `string`): Optional destination identifier used by auto mode, for example a Slack channel ID, database ID, table name, page ID, or another target field required by the connector tool. ## `connectorExportFormat` (type: `string`): Payload style for automatic MCP connector arguments. ## `connectorMaxItems` (type: `integer`): Maximum delivered records included in the connector payload. This does not change dataset billing; it only limits the connector message size. ## `connectorFailOnError` (type: `boolean`): When enabled, the Actor fails if a selected MCP connector cannot be reached or its tool call fails. Leave disabled to keep the scrape successful and inspect connector errors in SUMMARY. ## Actor input object example ```json { "mode": "new_releases", "maxItems": 10, "countryCode": "US", "currencyCode": "USD", "language": "en-US", "includeDetails": true, "failOnEmpty": false, "maxPages": 5, "connectorExportFormat": "markdown", "connectorMaxItems": 10, "connectorFailOnError": false } ``` # 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 = { "mode": "new_releases", "maxItems": 10, "failOnEmpty": false }; // Run the Actor and wait for it to finish const run = await client.actor("newbs/gamescout-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 = { "mode": "new_releases", "maxItems": 10, "failOnEmpty": False, } # Run the Actor and wait for it to finish run = client.actor("newbs/gamescout-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 '{ "mode": "new_releases", "maxItems": 10, "failOnEmpty": false }' | apify call newbs/gamescout-steam-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=newbs/gamescout-steam-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Steam Games Scraper", "description": "Scrape Steam games, new releases, discounts, demos, coming soon titles, and app updates with normalized prices, genres, tags, release dates, and URLs.", "version": "0.1", "x-build-id": "dHd8k95GgTbfaOaIJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/newbs~gamescout-steam-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-newbs-gamescout-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/newbs~gamescout-steam-scraper/runs": { "post": { "operationId": "runs-sync-newbs-gamescout-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/newbs~gamescout-steam-scraper/run-sync": { "post": { "operationId": "run-sync-newbs-gamescout-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", "required": [ "mode" ], "properties": { "platform": { "title": "Platform", "enum": [ "steam", "itch", "gog", "epic" ], "type": "string", "description": "Optional when the actor is deployed as a fixed platform actor." }, "mode": { "title": "Mode", "enum": [ "search", "new_releases", "coming_soon", "demos", "deals", "updates" ], "type": "string", "description": "Discovery signal to collect.", "default": "new_releases" }, "query": { "title": "Search query", "type": "string", "description": "Required for search mode. Also used to narrow browse/deals and resolve update checks when gameId/gameUrl is omitted." }, "category": { "title": "Category or genre", "type": "string", "description": "Optional category/genre filter, for example rpg, action, roguelike, strategy, or a platform-specific category id." }, "gameId": { "title": "Platform game ID", "type": "string", "description": "Optional platform game id for update checks, for example a Steam appid, GOG product id, Epic offer id, or itch game id." }, "gameUrl": { "title": "Game URL", "type": "string", "description": "Optional platform store page URL for update checks." }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum normalized game records to push to the default dataset. When the actor is monetized with the result-item event, this is the maximum billable result count for the run.", "default": 10 }, "countryCode": { "title": "Country code", "type": "string", "description": "Two-letter region for price and availability where the platform supports it.", "default": "US" }, "currencyCode": { "title": "Currency code", "type": "string", "description": "Currency code used for normalized prices when source data omits a currency.", "default": "USD" }, "language": { "title": "Language", "type": "string", "description": "Locale/language requested from platform endpoints.", "default": "en-US" }, "includeDetails": { "title": "Include details", "type": "boolean", "description": "Fetch detail pages/API records when useful and cheap.", "default": true }, "failOnEmpty": { "title": "Fail on empty", "type": "boolean", "description": "Fail the run when no records were found. Disable for expected no-match checks.", "default": false }, "maxPages": { "title": "Max pages", "minimum": 1, "maximum": 25, "type": "integer", "description": "Fallback pagination cap for platforms that do not expose direct filtered endpoints.", "default": 5 }, "outputConnectors": { "title": "MCP output connectors", "minItems": 0, "maxItems": 3, "uniqueItems": true, "type": "array", "description": "Optional MCP connectors that receive the delivered scrape results after the dataset is written. Use this to post results to tools such as Slack, Notion, GitHub, Supabase, or another MCP-compatible destination without giving this Actor your third-party credentials." }, "connectorToolName": { "title": "MCP tool name", "type": "string", "description": "Optional exact MCP tool to call on each selected connector. Leave empty to auto-select a send/post/write/log/create/insert/upsert/append tool from the connector." }, "connectorToolArgumentsJson": { "title": "MCP tool arguments JSON", "type": "string", "description": "Optional JSON object used as the exact MCP tool arguments. Template values are supported: {{markdown}}, {{summaryText}}, {{payloadJson}}, {{recordsJson}}, {{records}}, {{summary}}, {{payload}}, {{runId}}, {{datasetId}}, and {{runUrl}}." }, "connectorDestination": { "title": "Connector destination", "type": "string", "description": "Optional destination identifier used by auto mode, for example a Slack channel ID, database ID, table name, page ID, or another target field required by the connector tool." }, "connectorExportFormat": { "title": "Connector export format", "enum": [ "markdown", "json", "summary" ], "type": "string", "description": "Payload style for automatic MCP connector arguments.", "default": "markdown" }, "connectorMaxItems": { "title": "Connector max items", "minimum": 0, "maximum": 50, "type": "integer", "description": "Maximum delivered records included in the connector payload. This does not change dataset billing; it only limits the connector message size.", "default": 10 }, "connectorFailOnError": { "title": "Fail run if connector export fails", "type": "boolean", "description": "When enabled, the Actor fails if a selected MCP connector cannot be reached or its tool call fails. Leave disabled to keep the scrape successful and inspect connector errors in SUMMARY.", "default": 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 } } } } } } } } } } ```