# Skool Communities Scraper (discovery, members, pricing) (`datahamster/skool-communities`) Actor

Skool's public community directory as flat rows: name, description, member count, free/paid model and price, logo, created date. Search by keyword and category. Monitor mode alerts on new communities and member-count changes. No member data, no login.

- **URL**: https://apify.com/datahamster/skool-communities.md
- **Developed by:** [Viktor Dubnytskiy](https://apify.com/datahamster) (community)
- **Categories:** Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 result items

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Communities Scraper (discovery, members, pricing)

The public Skool directory as data: every community matching your keyword or category with member count, free/paid model and monthly price, description, logo and creation date. Monitor mode on a saved Task returns only new communities and member-count changes since the last run, with optional webhook / Telegram summary. For creators sizing a niche, competitor tracking, partnership prospecting and market research. Deliberately no member lists or posts — only community-level public facts.

### What you get

`groupId`, `slug`, `url`, `name`, `description`, `members`, `membershipModel`, `priceText`, `logoUrl`, `coverUrl`, `color`, `createdAt`, `updatedAt`, `query`, `page`, `rank`, `scrapedAt`.

### Input

- `queries`, `category`, `membership`, `maxPages` × 30 communities.
- `maxItems`; `mode: monitor` for alerts.

### Pricing

| Event | Price |
|---|---|
| result | $0.0015 per community ($1.50 per 1,000) |
| monitor-check | $0.005 per monitor run |
| change | $0.0015 per new/changed community |

Charged only for communities actually pushed. Skool challenges automated visitors, so the actor runs through Apify Web Unblocker; Apify bills that traffic on top (about 0.3 MB per page of 30).

### Limits

- Community-level data only: no members, posts, courses or owner contacts.
- Skool returns at most 1,000 communities per search.

### Changelog

- 0.1: initial release.

# Actor input Schema

## `queries` (type: `array`):

Keywords for Skool discovery; leave empty to browse the directory

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

Skool category slug from the discovery filter, e.g. health-fitness, money, tech, self-improvement

## `membership` (type: `string`):

Filter by membership model

## `maxPages` (type: `integer`):

30 communities per page (Skool shows up to 1,000 per search)

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

Stop after this many results (you are charged only for pushed items)

## `mode` (type: `string`):

scrape = full results; monitor = only new/changed items since the previous run of this task

## `monitorKey` (type: `string`):

Optional state key when not running as a saved task

## `webhookUrl` (type: `string`):

POST a change summary here in monitor mode

## `telegramBotToken` (type: `string`):

Optional: bot token for monitor-mode change summaries

## `telegramChatId` (type: `string`):

Optional: chat id that receives monitor-mode summaries

## Actor input object example

```json
{
  "queries": [
    "fitness"
  ],
  "membership": "all",
  "maxPages": 3,
  "maxItems": 200,
  "mode": "scrape"
}
```

# Actor output Schema

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

All pushed rows (dataset, JSON)

## `resultsTable` (type: `string`):

Dataset in the Console viewer

## `runSummary` (type: `string`):

RUN\_SUMMARY record (pushed, skipped, emptyReason)

# 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 = {
    "queries": [
        "fitness"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("datahamster/skool-communities").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 = { "queries": ["fitness"] }

# Run the Actor and wait for it to finish
run = client.actor("datahamster/skool-communities").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 '{
  "queries": [
    "fitness"
  ]
}' |
apify call datahamster/skool-communities --silent --output-dataset

```

## MCP server setup

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

```

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/gZW2PdrxP4pVJNCmt/builds/5wpsmhmbHuboj8Qrj/openapi.json