# Steam Curator Followers & Reviews Scraper (`rainminer/steam-curators-scraper`) Actor

Extract public Steam Curator profiles for game outreach. Each row includes the name, follower count, review totals, recommendation split, description, avatar, and Steam page. Built for studios and publishers sending review keys. No login. Export JSON or CSV.

- **URL**: https://apify.com/rainminer/steam-curators-scraper.md
- **Developed by:** [rainminer](https://apify.com/rainminer) (community)
- **Categories:** Social media, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.49 / 1,000 curators

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Steam Curators Scraper

Build a public outreach list of **Steam Curators**: the groups and publications that recommend games on Steam. Indie studios and publishers use it before a launch to see who has followers, how many reviews they publish, and how often those reviews are recommendations.

The start URL is the public curators page, `https://store.steampowered.com/curators/`. The Actor walks that list and returns one row per curator. No Steam login is required.

### What can this Steam Curators scraper do?

- Page through the public curator directory.
- Capture follower counts, including the higher-value follower figure Steam publishes.
- Split reviews into recommended, not recommended, and informative.
- Save the curator description, avatar, Steam page, and community link.
- Stop at `maxItems` so a test run stays small and a full export can go further.
- Schedule a refresh and export JSON, CSV, or Excel through Apify.

The directory holds thousands of curators. A default run keeps the first few so you can check the shape. Raise the cap when you want a real outreach list.

### What data can you extract?

| Field | Meaning |
| --- | --- |
| name | Curator name |
| followers | Public follower count |
| highValueFollowers | Steam's higher-value follower count |
| reviews | Total reviews |
| recommended / notRecommended / informative | Review split |
| description | Public curator blurb, often with a site |
| imageUrl | Avatar |
| url | Steam curator page |
| communityUrl | Linked Steam community |
| lastReviewAt | Time of the latest listed curation |

### How to scrape Steam Curators

1. Open the Actor and keep `https://store.steampowered.com/curators/`.
2. Set **Maximum items**. Use 20 or more when you want past the first screen.
3. Leave the proxy off unless Steam blocks the run.
4. Start the run and download the dataset.

Sort the sheet by followers or by recommended reviews before you write to anyone. The description is the place many curators put a website.

### Use cases

- Build a key-request list before a Steam launch.
- Rank curators by followers in your genre using the description text.
- See who is still publishing reviews via `lastReviewAt`.
- Compare recommendation rates across outlets.
- Refresh the list each quarter as new curators appear.
- Attach avatars in an internal directory.
- Exclude curators with almost no reviews.
- Share a CSV with a PR freelancer.
- Track one curator page link over time by re-running and diffing follower counts.
- Pair the list with your own press contacts.

### Pricing

You pay per curator exported. The directory is long, so set `maxItems` to the slice you actually need. Platform usage is separate when the listing is billed as pay per event plus usage.

### FAQ

**Does this need a Steam login?** No. The public curator directory is enough.

**Can I start from one curator page?** This Actor reads the directory. Open a curator's `url` from the dataset when you want that page.

**Why might follower counts move?** Steam updates them. Re-run on a schedule if you want a history.

### Image Credit

No site screenshot is used.

# Actor input Schema

## `startUrls` (type: `array`):

The public Steam Curators page, https://store.steampowered.com/curators/.

## `maxItems` (type: `integer`):

Maximum number of curators to return per start URL.

## `proxyConfiguration` (type: `object`):

Proxy settings. Leave disabled unless Steam blocks your IP.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://store.steampowered.com/curators/"
    }
  ],
  "maxItems": 5,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://store.steampowered.com/curators/"
        }
    ],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("rainminer/steam-curators-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "startUrls": [{ "url": "https://store.steampowered.com/curators/" }],
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("rainminer/steam-curators-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://store.steampowered.com/curators/"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call rainminer/steam-curators-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rainminer/steam-curators-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/n5G9qTNtyVtdjn8as/builds/i5hCD4ld62XoPURMg/openapi.json