# Skool Leads & Pricing Extractor (`armin_s2001/my-actor`) Actor

Fast & lightweight Skool.com discovery scraper. Extract community leads, member counts, pricing, currency, and group descriptions to JSON/CSV for market research.

- **URL**: https://apify.com/armin\_s2001/my-actor.md
- **Developed by:** [Armin Sahakian](https://apify.com/armin_s2001) (community)
- **Stats:** 2 total users, 1 monthly users, 50.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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?

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

## 🚀 Skool.com Leads & Pricing Extractor

Extract verified community leads, active member counts, and membership pricing from **Skool.com** in seconds. Perfect for market research, competitor analysis, and B2B outreach.

***

### 💎 Why Choose This Actor?

Unlike basic web scrapers that return messy, unformatted strings (like `"1,450 members"` or `"$49 / mo"`), this Actor parses and normalizes everything into **pure numerical data types** ready for immediate analysis in Excel, Google Sheets, or SQL databases.

- ✅ **Normalized Integer Members**: E.g. `1450` or `12500` instead of plain text strings.
- ✅ **Separated Pricing Models**: Numeric `price` alongside clean `currency` and `billingCycle` flags.
- ✅ **Clean URLs**: Automatically strips noisy tracking tags and UTM parameters.
- ✅ **Free Trial Support**: Easily test with small datasets before running large crawls.

***

### 🎯 Accuracy & Data Quality Guarantee

- **Verified Match**: The crawler checks both community cards and pricing labels directly against Skool discovery results.
- **Reliable Data Normalization**: High-volume suffix units (`k` and `m`) are calculated precisely into total numbers.
- **Always Maintained**: Actively monitored and updated within 24 hours if Skool.com modifies its site layout.

***

### 📥 Input Parameters

| Field | Type | Description | Default |
| :--- | :--- | :--- | :--- |
| `searchQuery` | String | Keyword to search communities by (e.g. `ecommerce`, `ai`, `fitness`). Leave empty for trending. | `"marketing"` |
| `maxResults` | Integer | Maximum number of community leads to extract. | `50` |

***

\##📊 Live Sample Dataset
You can preview the live extracted dataset (30 records) directly before running:

👉 [View Sample Dataset](https://console.apify.com/storage/datasets/KUdRJMdbgtR98VS3U)

🛠 Support & Feedback
Encountered an issue or have a feature request? Open an issue via the Issues tab or message the author directly on Apify!

### 📤 Output Sample (Analytics-Ready JSON)

````json
[
  {
"title": "SaaS Growth Mastermind",
"url": "https://www.skool.com/saas-growth",
"members": 2340,
"price": 99.0,
"currency": "$",
"billingCycle": "monthly",
"query": "marketing"
  },
  {
"title": "Content Creators Hub",
"url": "https://www.skool.com/creators-hub",
"members": 8500,
"price": 0.0,
"currency": "USD",
"billingCycle": "free",
"query": "marketing"
  }
]



# Actor input Schema

## `searchQuery` (type: `string`):

Search keyword used on Skool Discovery (e.g., crypto, marketing, fitness).
## `maxResults` (type: `integer`):

Maximum number of results to store (note: without pagination this is effectively limited to the first page).
## `proxy` (type: `boolean`):

Enable Apify Proxy to reduce blocking (recommended).

## Actor input object example

```json
{
  "searchQuery": "marketing",
  "maxResults": 50,
  "proxy": true
}
````

# 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("armin_s2001/my-actor").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("armin_s2001/my-actor").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 armin_s2001/my-actor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,armin_s2001/my-actor"
        }
    }
}
```

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/ox5rkZDmPcEumwRLi/builds/ChgDJjuo1g0yfIYWI/openapi.json