# Steam Game Studio Lead Scraper (`scrapemint/steam-game-studio-leads`) Actor Search Steam by keyword and turn games into B2B leads: studio, publisher, website, scraped contact email, genres, release date, price, and review count. One lead per game. Keyless. - **URL**: https://apify.com/scrapemint/steam-game-studio-leads.md - **Developed by:** [Ken M](https://apify.com/scrapemint) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 Game Studio Lead Scraper Turn the Steam store into a B2B lead list. Search by keyword and get, for every game, the **studio**, publisher, **website**, a **scraped contact email**, genres, release date, price, and review count. One lead per game. Game studios are a captive market for engines, middleware, marketing and PR, localization, QA, and porting. The Steam store is keyless, and the email is scraped from the studio website. ### Who buys this - **Game-dev tool and middleware vendors** (engines, analytics, anti-cheat, backends). - **Game marketing and PR agencies** prospecting studios. - **Localization, QA, and porting studios** that sell to developers. ### How it works 1. For each keyword it searches the Steam store and collects matching games. 2. It reads each game's details for the studio, publisher, website, genres, price, and review count, then scrapes the studio website for a contact email. 3. Each game is scored and tiered, then pushed as one lead. ### Output One row per game: ```json { "game": "RACCOIN: Coin Pusher Roguelike", "studio": "Doraccoon", "publisher": "Playstack", "website": "https://playraccoin.com", "email": "hello@playraccoin.com", "genres": ["Casual", "Indie", "Simulation"], "releaseDate": "Mar 31, 2026", "price": "$9.59", "reviews": 3762, "steamUrl": "https://store.steampowered.com/app/3784030/", "tier": "qualified_lead", "leadScore": 78 } ```` ### Tiers and pricing Pay per lead. The first 10 `qualified_lead` per run are free so you can validate output. | Tier | Meaning | Price | | --- | --- | --- | | `listing` | Game data, no studio website | $0.01 | | `lead` | A studio website | $0.02 | | `qualified_lead` | A scraped contact email and reviews at or above the bar | $0.05 | ### Input | Field | Default | Notes | | --- | --- | --- | | `keywords` | `[]` | Genres or themes, one search each. | | `country` / `language` | `us` / `en` | Store locale. | | `maxLeads` | `150` | Cap total leads per run. | | `minReviews` | `0` | Drop games below this review count. | | `qualifiedMinReviews` | `50` | Review bar for the qualified\_lead tier. | | `includeEmail` | `true` | Scrape studio websites for a contact email. | | `maxEmailLookups` | `100` | Cap how many top leads get the email scrape. | ### Notes - Steam does not publish a developer email, so the studio website is captured and the email is scraped from it (moderate hit rate). Expect more `lead` than `qualified_lead` rows. - Steam's detail API is rate-limited, so large runs take longer; the actor throttles it automatically. - Respect Steam's terms and applicable outreach laws when contacting studios. # Actor input Schema ## `keywords` (type: `array`): Genres or themes to search for (e.g. roguelike, city builder, horror, visual novel). ## `country` (type: `string`): Two-letter store country code. Default us. ## `language` (type: `string`): Language code. Default en. ## `maxLeads` (type: `integer`): Cap total leads scored per run. Steam detail lookups are rate-limited, so very large runs take longer. ## `minReviews` (type: `integer`): Drop games with fewer reviews than this. Zero keeps everything. ## `qualifiedMinReviews` (type: `integer`): Reviews at or above this, with a scraped email, tier a lead as qualified\_lead. ## `includeEmail` (type: `boolean`): Fetch each studio website and scrape a contact email. ## `maxEmailLookups` (type: `integer`): Cap how many top leads get the website email scrape. ## `concurrency` (type: `integer`): Studio websites fetched in parallel. Steam detail lookups are always throttled separately. ## Actor input object example ```json { "keywords": [ "roguelike", "city builder", "horror" ], "country": "us", "language": "en", "maxLeads": 150, "minReviews": 0, "qualifiedMinReviews": 50, "includeEmail": true, "maxEmailLookups": 100, "concurrency": 8 } ``` # 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 = { "keywords": [ "roguelike", "city builder", "horror" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/steam-game-studio-leads").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 = { "keywords": [ "roguelike", "city builder", "horror", ] } # Run the Actor and wait for it to finish run = client.actor("scrapemint/steam-game-studio-leads").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 '{ "keywords": [ "roguelike", "city builder", "horror" ] }' | apify call scrapemint/steam-game-studio-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/steam-game-studio-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Steam Game Studio Lead Scraper", "description": "Search Steam by keyword and turn games into B2B leads: studio, publisher, website, scraped contact email, genres, release date, price, and review count. One lead per game. Keyless.", "version": "0.1", "x-build-id": "TvaT8JuHh6usMUdw3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~steam-game-studio-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-steam-game-studio-leads", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapemint~steam-game-studio-leads/runs": { "post": { "operationId": "runs-sync-scrapemint-steam-game-studio-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapemint~steam-game-studio-leads/run-sync": { "post": { "operationId": "run-sync-scrapemint-steam-game-studio-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keywords": { "title": "Search keywords", "type": "array", "description": "Genres or themes to search for (e.g. roguelike, city builder, horror, visual novel).", "default": [], "items": { "type": "string" } }, "country": { "title": "Country", "type": "string", "description": "Two-letter store country code. Default us.", "default": "us" }, "language": { "title": "Language", "type": "string", "description": "Language code. Default en.", "default": "en" }, "maxLeads": { "title": "Max leads", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Cap total leads scored per run. Steam detail lookups are rate-limited, so very large runs take longer.", "default": 150 }, "minReviews": { "title": "Minimum reviews", "minimum": 0, "type": "integer", "description": "Drop games with fewer reviews than this. Zero keeps everything.", "default": 0 }, "qualifiedMinReviews": { "title": "Qualified review bar", "minimum": 0, "type": "integer", "description": "Reviews at or above this, with a scraped email, tier a lead as qualified_lead.", "default": 50 }, "includeEmail": { "title": "Scrape contact emails", "type": "boolean", "description": "Fetch each studio website and scrape a contact email.", "default": true }, "maxEmailLookups": { "title": "Max email lookups", "minimum": 0, "maximum": 2000, "type": "integer", "description": "Cap how many top leads get the website email scrape.", "default": 100 }, "concurrency": { "title": "Concurrency (website scrape)", "minimum": 1, "maximum": 20, "type": "integer", "description": "Studio websites fetched in parallel. Steam detail lookups are always throttled separately.", "default": 8 } } }, "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 } } } } } } } } } } ```