# Cheapshark Multistore Game Deals Price Scraper (`jungle_synthesizer/cheapshark-multistore-game-deals-price-scraper`) Actor Fetches live game deals from CheapShark, a free API aggregating deals across Steam, GOG, Fanatical, Humble, Green Man Gaming, and 30+ PC game stores. Returns sale prices, savings, Metacritic scores, Steam ratings, and optionally all-time lowest prices. Supports store filtering and game title search. - **URL**: https://apify.com/jungle\_synthesizer/cheapshark-multistore-game-deals-price-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** 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 ## CheapShark Multistore Game Deals & Price Scraper Fetches live PC game deals and price history from [CheapShark](https://www.cheapshark.com), a free cross-store aggregator covering Steam, GOG, Fanatical, Humble, Green Man Gaming, and 30+ other stores. Returns current sale prices, savings percentages, Metacritic scores, Steam ratings, and optionally the all-time cheapest price per game. ### What You Get - Live deals from 30+ PC game stores in one dataset - Sale price, regular price, and percentage savings per deal - Metacritic score and review URL - Steam rating text, percent, and review count - Optionally: all-time cheapest price and date (via price history enrichment) - Game title search mode to find cheapest current prices by name ### Input Fields | Field | Type | Default | Description | |-------|------|---------|-------------| | `maxItems` | integer | 10 | Maximum number of records to return | | `dataType` | string | `deals` | `deals` for paginated deal browsing, `games` for title search | | `storeID` | string | (all stores) | Filter deals to a specific store (e.g. `"1"` = Steam). See store list below. | | `sortBy` | string | `Deal Rating` | Sort deals by: `Deal Rating`, `Title`, `Savings`, `Price`, `Metacritic`, `Reviews`, `Release`, `Store`, `recent` | | `gameSearch` | string | — | Game title to search (required when `dataType` is `games`) | | `includeHistory` | boolean | false | Enrich each deal with the all-time cheapest price (slower — one extra API call per record) | #### Common Store IDs | ID | Store | |----|-------| | 1 | Steam | | 2 | GamersGate | | 3 | Green Man Gaming | | 7 | GOG | | 11 | Humble Store | | 15 | Fanatical | | 27 | Gamesplanet | ### Example Inputs #### Browse top-rated deals across all stores ```json { "maxItems": 50, "dataType": "deals", "sortBy": "Deal Rating" } ```` #### Steam-only deals sorted by savings ```json { "maxItems": 100, "dataType": "deals", "storeID": "1", "sortBy": "Savings" } ``` #### Search for a game by title ```json { "maxItems": 10, "dataType": "games", "gameSearch": "portal" } ``` #### Deals with all-time price history ```json { "maxItems": 20, "dataType": "deals", "includeHistory": true } ``` ### Output Schema Each record contains: ```json { "deal_id": "AbCdEfG%2B...", "game_id": "12345", "title": "Portal 2", "store_id": "1", "store_name": "Steam", "sale_price": 4.99, "normal_price": 9.99, "is_on_sale": true, "savings_percent": 50.05, "cheapest_ever_price": 0.99, "cheapest_ever_date": "2023-11-22T00:00:00.000Z", "metacritic_score": 95, "metacritic_url": "https://www.metacritic.com/game/portal-2/", "steam_app_id": 620, "steam_rating_text": "Overwhelmingly Positive", "steam_rating_percent": 99, "steam_rating_count": 87654, "release_date": "2011-04-18T00:00:00.000Z", "deal_rating": 10.0, "last_change_ts": "2026-05-22T18:01:33.000Z", "thumb_url": "https://..." } ``` **Notes on `games` mode:** `store_id`, `store_name`, `normal_price`, and most metadata fields are null — only `deal_id`, `game_id`, `title`, `sale_price` (cheapest current price), `steam_app_id`, and `thumb_url` are populated. Use `includeHistory` in `deals` mode for the full price history per deal. ### About CheapShark CheapShark ([apidocs.cheapshark.com](https://apidocs.cheapshark.com)) is a free, publicly documented price aggregator that explicitly permits API access. No API key required. Rate limit is generous; the actor applies a courteous 300ms delay between pages. # 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. ## `maxItems` (type: `integer`): Maximum number of records to return. Use a small value for quick tests. ## `dataType` (type: `string`): What to scrape: "deals" fetches paginated live deals across all stores; "games" searches games by title and returns cheapest prices. ## `storeID` (type: `string`): Filter deals to a specific store by ID (only for dataType=deals). Leave blank for all stores. Use the CheapShark store list to find IDs (e.g. "1" = Steam). ## `gameSearch` (type: `string`): Game title to search for (required for dataType=games). Partial matches supported. ## `sortBy` (type: `string`): Sort deals by this field (only for dataType=deals). Options: Deal Rating, Title, Savings, Price, Metacritic, Reviews, Release, Store, recent. ## `includeHistory` (type: `boolean`): Enrich each deal with the cheapest-ever price from game history (makes one extra API call per record; slower). ## 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...", "maxItems": 10, "dataType": "deals", "sortBy": "Deal Rating", "includeHistory": false } ``` # 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...", "maxItems": 10, "dataType": "deals" }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/cheapshark-multistore-game-deals-price-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...", "maxItems": 10, "dataType": "deals", } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/cheapshark-multistore-game-deals-price-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...", "maxItems": 10, "dataType": "deals" }' | apify call jungle_synthesizer/cheapshark-multistore-game-deals-price-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/cheapshark-multistore-game-deals-price-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Cheapshark Multistore Game Deals Price Scraper", "description": "Fetches live game deals from CheapShark, a free API aggregating deals across Steam, GOG, Fanatical, Humble, Green Man Gaming, and 30+ PC game stores. Returns sale prices, savings, Metacritic scores, Steam ratings, and optionally all-time lowest prices. Supports store filtering and game title search.", "version": "0.1", "x-build-id": "hjxeDvzzjteFYi6JI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~cheapshark-multistore-game-deals-price-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-cheapshark-multistore-game-deals-price-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~cheapshark-multistore-game-deals-price-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-cheapshark-multistore-game-deals-price-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~cheapshark-multistore-game-deals-price-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-cheapshark-multistore-game-deals-price-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." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of records to return. Use a small value for quick tests.", "default": 10 }, "dataType": { "title": "Data Type", "enum": [ "deals", "games" ], "type": "string", "description": "What to scrape: \"deals\" fetches paginated live deals across all stores; \"games\" searches games by title and returns cheapest prices.", "default": "deals" }, "storeID": { "title": "Store ID", "type": "string", "description": "Filter deals to a specific store by ID (only for dataType=deals). Leave blank for all stores. Use the CheapShark store list to find IDs (e.g. \"1\" = Steam)." }, "gameSearch": { "title": "Game Search", "type": "string", "description": "Game title to search for (required for dataType=games). Partial matches supported." }, "sortBy": { "title": "Sort By", "type": "string", "description": "Sort deals by this field (only for dataType=deals). Options: Deal Rating, Title, Savings, Price, Metacritic, Reviews, Release, Store, recent.", "default": "Deal Rating" }, "includeHistory": { "title": "Include Price History", "type": "boolean", "description": "Enrich each deal with the cheapest-ever price from game history (makes one extra API call per record; slower).", "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 } } } } } } } } } } ```