# Skool Scraper (`dadhalfdev/skool-scraper`) Actor

Discover and analyze Skool communities with this actor. Extract up to 1000 community data from Skool https://www.skool.com/ with a pay-per-event pricing.

- **URL**: https://apify.com/dadhalfdev/skool-scraper.md
- **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community)
- **Categories:** E-commerce, Other
- **Stats:** 9 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 results

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/actors/running/actors-in-store.md#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

## Skool Community Scraper

Discover and analyze [Skool](https://www.skool.com/) communities — names, descriptions, member counts, subscription prices, and profile links — ready to export as CSV, Excel, or JSON.

Choose a predefined category or type your own search term. Collect up to **1000** communities per run. Pricing is pay-per-event: you only pay for communities successfully scraped.

### Perfect for...

- **Community research:** Find trending Skool groups by topic
- **Marketers & founders:** Compare membership size and subscription pricing
- **Data pipelines:** Structured community metadata for analysis or outreach

### Why you'll love this scraper

- 🎯 **Category or custom search:** Use Hobbies, Tech, Money, … or type e.g. Photography
- 📊 **Rich community cards:** Members, monthly/annual prices, description, cover, logo
- 💰 **Pay per result:** You only pay for communities successfully scraped

### What's inside the data?

For every community you get:

- `id`, `url`, `display_name`, `name`
- `created_at`, `updated_at`
- `annual_subscription ($)`, `monthly_subscription ($)`
- `description`, `cover_image`, `logo_url`, `initials`
- `total_members`, `rank`, `category`

### Available categories

Predefined: **All**, Hobbies, Music, Money, Spirituality, Tech, Health, Sports, Self-improvement, Relationships — or type any custom term.

**Note on "All":** If you choose **All**, the `category` field in the output will show `"All"` for every community (not each community’s specific topic). For accurate category labels, run once per category.

### Quick start

1. Select a **Category** (or type a custom term)
2. Set **Max communities** (50–1000, default 500)
3. Click **Start**
4. Export JSON, CSV, or other formats

***

#### Input examples

**Predefined category:**

```json
{
  "category": "Hobbies",
  "max_communities": 500
}
```

**Custom category:**

```json
{
  "category": "Photography",
  "max_communities": 300
}
```

### Input reference

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `category` | string | Yes | `All` | Predefined category or any custom search term. |
| `max_communities` | integer | No | `500` | How many communities to collect (`50`–`1000`). |

# Actor input Schema

## `category` (type: `string`):

Choose which Skool category to scrape, or type a custom one.

## `max_communities` (type: `integer`):

Maximum number of communities to scrape (50–1000). Default is 500.

## Actor input object example

```json
{
  "category": "All",
  "max_communities": 500
}
```

# Actor output Schema

## `overview` (type: `string`):

Table view using the dataset 'overview' view.

## `results` (type: `string`):

All items from the default dataset without view transformation.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("dadhalfdev/skool-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("dadhalfdev/skool-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 '{}' |
apify call dadhalfdev/skool-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dadhalfdev/skool-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/6LlQzDYU5gymOVacO/builds/EWtYXptCzyUyWoDcb/openapi.json