# 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:** 3 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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 <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/fxA1fNp6eBnFC7t9P/builds/TvaT8JuHh6usMUdw3/openapi.json