# Skool Communities Scraper — Discovery, Pricing & Owner Links (`spotless_studios/skool-communities-scraper`) Actor

Scrape Skool discovery by keyword, category, language, and price. Members, rating, price per month, courses, posts, plus owner website, Instagram, YouTube, X, and LinkedIn. Beats the 1,000-result cap.

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

## Pricing

from $1.50 / 1,000 community scrapeds

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 Communities Scraper — Creator Leads, Pricing & Owner Socials

Scrape **Skool discovery** into a lead list of communities and their creators: **members, price per month, rating, reviews, creation date, courses, posts, pricing tiers, affiliate commission, and the owner's name, bio, website, Instagram, YouTube, X, LinkedIn, and Facebook**. Built for agencies and SaaS founders selling to creators, for coaches researching competitors, and for anyone mapping the paid-community market.

> **Trial cost:** 25 communities ≈ **$0.04** · **+$0.05** with owner socials (`includeDetails`).

### What you get

| Field | Example |
|-------|---------|
| `name`, `url`, `description` | AI Automations by Jack · skool.com/aiautomationsbyjack |
| `members`, `rating`, `reviewsCount` | 3,426 members · 5.0 |
| `isPaid`, `price`, `currency`, `billingInterval` | true · 87 · USD · month |
| `priceMonthly` | 87 (yearly plans divided by 12, for fair comparison) |
| `createdAt`, `discoveryRank` | Creation date · position in Skool's discovery |
| `discoveryCategory`, `discoveryLanguage`, `searchQuery` | Which query found it |
| `courses`, `modules`, `posts`, `admins`, `onlineMembers` | Activity and content depth (details) |
| `tiers`, `affiliatePercent`, `privacy` | Membership tiers with benefits, affiliate %, public/private (details) |
| `usesZapier`, `usesMetaConversions`, `usesHyros` | Marketing tools the creator plugged in (details) |
| `ownerName`, `ownerBio`, `ownerLocation`, `ownerProfileUrl` | The creator (details) |
| `ownerWebsite`, `ownerInstagram`, `ownerYoutube`, `ownerTwitter`, `ownerLinkedin`, `ownerFacebook` | Creator socials (details) |
| `ownerMrrStatus` | Skool's revenue badge for the owner, e.g. fire, clover, diamond (details) |

Owner email addresses are deliberately not exported.

### Why this scraper

- ⚡ **Fast** — one real browser session, then Skool's own JSON data endpoints. 70 communities in ~7 seconds; with full details, about 1–2 seconds per page of 30.
- 🧱 **Beats the 1,000 cap** — Skool shows at most ~1,000 communities per query. Combine queries × categories × languages, or turn on `splitByCategory` to sweep every category.
- 🎯 **Lead filters** — member range, monthly price range, minimum rating and reviews, created after/before (find new, fast-growing communities), owner has a website, plus `/regex/` keyword include/exclude over name, description, landing page, and owner bio.
- 💸 **Filter before you pay** — list filters run before any about-page request, and the details add-on is charged only for communities you actually keep.
- 🔔 **Monitoring mode** — schedule daily and receive **only communities that are new** to your search.

### Quick start

**Paid AI communities with 200+ members, with owner socials**

```json
{ "searchQueries": ["ai automation", "ai agency"], "price": "paid", "minMembers": 200, "includeDetails": true, "maxResults": 300 }
```

**Small, new creators with a website (outreach list)**

```json
{
  "searchQueries": ["fitness", "coaching", "marketing"],
  "maxMembers": 500,
  "createdAfter": "90 days",
  "ownerHasWebsite": true,
  "outputFields": ["name", "url", "members", "priceMonthly", "ownerName", "ownerWebsite", "ownerInstagram", "ownerYoutube"]
}
```

**Market map of every category**

```json
{ "splitByCategory": true, "maxResults": 20000 }
```

**Daily alert for new trading communities**

```json
{ "searchQueries": ["trading"], "onlyNewItems": true, "stateKey": "trading-watch", "maxResults": 500 }
```

### Input reference

| Parameter | Default | What it does |
|-----------|---------|--------------|
| `searchQueries` | — | Keywords; empty browses discovery |
| `categories` | — | Category names or slugs (money, tech, health, self-improvement…) |
| `splitByCategory` | false | Also run every category separately to collect beyond ~1,000 per query |
| `languages` | English | Skool language names (english, german, spanish…) |
| `price` | any | Server-side any / free / paid |
| `minMembers` / `maxMembers` | — | Member range |
| `minPriceUsd` / `maxPriceUsd` | — | Monthly-equivalent price range |
| `minRating` / `minReviews` | — | Review quality |
| `createdAfter` / `createdBefore` | — | `YYYY-MM-DD` or relative like `90 days` |
| `includeDetails` | false | About page and owner data (add-on) |
| `ownerHasWebsite` | false | Only owners listing a website; switches details on |
| `includeKeywords` / `excludeKeywords` / `keywordMatch` | — | Words or `/regex/`, any/all |
| `onlyNewItems` + `stateKey` | false | Monitoring memory per saved search |
| `maxResults` | 100 | Cap on saved communities |
| `outputFields` | all | Keep only these fields, in order |
| `maxPagesPerQuery`, `maxConcurrency` | 34 / 4 | Performance (30 per page, Skool stops at 34) |
| `proxyConfiguration` | off | Use RESIDENTIAL if Skool's bot check blocks runs |

### Pricing

| Event | Price |
|-------|-------|
| Community saved (`community-scraped`) | **$0.0015** |
| Details add-on (`community-details`) | **$0.002** per saved community |

1,000 communities cost **$1.50** list-only, or **$3.50** with owner details.

### Export formats & integrations

#### Export formats

Export your dataset with zero code in whichever format fits your workflow:

- **Excel (.xlsx) & CSV:** Clean tabular sheets formatted for Microsoft Excel, Google Sheets, LibreOffice, and CRM imports.
- **JSON & JSONL:** Structured records for developers, backend pipelines, and AI agent prompt context.
- **XML & HTML:** Formatted for web dashboards, feed syndication, and reporting.

#### No-code automations & integrations

- **Google Sheets & Airtable:** Automatically push new scraped rows into live tracking spreadsheets.
- **Make, Zapier & n8n:** Trigger instant Slack alerts, email digests, or create deals in HubSpot, Salesforce, and Pipedrive.
- **Webhooks & REST API:** Programmatically trigger runs and retrieve results via Apify's REST API, Python SDK, or JavaScript/TypeScript SDK.

### FAQ

**How do I export this data to Excel or CSV?** After the run finishes, click the **Export** button in the Dataset tab to download the complete file in Excel (.xlsx), CSV, JSON, or XML. You can also automate exports directly to Google Sheets via the Integrations tab.
**Why do some paid communities have no price?** Some creators hide the price until checkout. With `price: "paid"`, those communities are still marked `isPaid: true`, but `price` is empty and they won't pass a minimum-price filter.

**Can I get member lists or posts?** No. The actor only reads public, logged-out discovery and about pages.

## **Sort by newest?** Skool doesn't offer that to logged-out visitors. Use `createdAfter` instead.

### More from Spotless Studios

**[All actors on Apify](https://apify.com/spotless_studios)** · Support: spotless.studios.info@gmail.com

| Actor | Best for |
|-------|----------|
| [SLED Government Bids](https://apify.com/spotless_studios/sled-procurement-scraper) | Daily US gov RFP / bid alerts |
| [Webflow Experts](https://apify.com/spotless_studios/webflow-experts-scraper) | Webflow agency & freelancer leads |
| [Stripe Partners](https://apify.com/spotless_studios/stripe-partners-scraper) | Stripe implementation partner lists |
| [UK Planning Applications](https://apify.com/spotless_studios/uk-planning-applications-scraper) | UK planning leads + agent contacts |
| [Product Hunt](https://apify.com/spotless_studios/product-hunt-scraper) | Every PH launch + makers / websites |
| [Duunitori Jobs](https://apify.com/spotless_studios/duunitori-jobs-scraper) | Finland job listings |
| [Clutch Agencies](https://apify.com/spotless_studios/clutch-agencies-scraper) | Clutch agency prospecting |
| [Skool Communities](https://apify.com/spotless_studios/skool-communities-scraper) | Skool community & creator leads |

# Actor input Schema

## `searchQueries` (type: `array`):

Keywords searched in Skool discovery, e.g. ai automation, trading, fitness coach. Empty = browse.

## `categories` (type: `array`):

Skool categories by name or slug: hobbies, music, money, spirituality, tech, health, sports, self-improvement, relationships, and more.

## `splitByCategory` (type: `boolean`):

Skool shows at most ~1,000 communities per query. With no categories set, this also runs every category separately to collect far more.

## `languages` (type: `array`):

Skool language names, e.g. english, german, spanish, french, portuguese. Empty = Skool's default (English).

## `price` (type: `string`):

Server-side price filter.

## `minMembers` (type: `integer`):

Keep communities with at least this many members.

## `maxMembers` (type: `integer`):

Keep smaller communities (e.g. up to 500 members).

## `minPriceUsd` (type: `integer`):

Monthly-equivalent price in the community's currency (yearly plans divided by 12).

## `maxPriceUsd` (type: `integer`):

Monthly-equivalent price ceiling.

## `minRating` (type: `string`):

Average review rating from 0 to 5, e.g. 4.5.

## `minReviews` (type: `integer`):

Keep communities with at least this many reviews.

## `createdAfter` (type: `string`):

YYYY-MM-DD or relative, e.g. 90 days. Find new, fast-growing communities.

## `createdBefore` (type: `string`):

YYYY-MM-DD or relative.

## `communityUrls` (type: `array`):

Scrape specific Skool communities directly (e.g. https://www.skool.com/hormozi or hormozi). When set without discovery filters, skips discovery crawl.

## `includeDetails` (type: `boolean`):

Adds owner name, bio, website, Instagram, YouTube, X, LinkedIn, Facebook, MRR tier, plus courses, posts, admins, online members, affiliate %, pricing tiers, and marketing tools used. Billed as an add-on per community.

## `ownerHasWebsite` (type: `boolean`):

Keep communities whose owner lists a website. Turns on details automatically.

## `includeKeywords` (type: `array`):

Keep communities whose name, description, landing page, or owner bio contain these words. /regex/ supported.

## `excludeKeywords` (type: `array`):

Drop communities containing any of these words or /regex/.

## `keywordMatch` (type: `string`):

Require any or all include keywords.

## `onlyNewItems` (type: `boolean`):

Remember communities from previous runs and save only new ones.

## `stateKey` (type: `string`):

Separate memory per saved search.

## `maxResults` (type: `integer`):

Stop after saving this many communities.

## `outputPreset` (type: `string`):

Quickly choose how much data to save per record: full record, lean summary, or contact & social links only.

## `outputFields` (type: `array`):

Save only these fields, in this order (e.g. name, url, members, priceMonthly, ownerName, ownerWebsite, ownerInstagram). Supports nested dot-paths (e.g. makers.username). Empty keeps all fields from the selected preset.

## `excludeFields` (type: `array`):

Remove specific fields (or nested dot-paths) from each saved record to keep datasets compact.

## `includeEmptyFields` (type: `boolean`):

When turned off, strips null, empty strings, empty arrays, and empty objects from every saved record.

## `requiredFields` (type: `array`):

Only save (and only pay for) records where every listed field or dot-path has a non-empty value (e.g. website, inquiryEmail).

## `maxPagesPerQuery` (type: `integer`):

30 communities per page; Skool stops at 34 pages.

## `maxConcurrency` (type: `integer`):

About pages fetched in parallel when details are on.

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

Optional. Use Apify Proxy (RESIDENTIAL) if Skool's bot check blocks runs.

## `proxyEscalation` (type: `boolean`):

If the site blocks the run, automatically step up from a direct connection to Apify datacenter proxy, then residential proxy, only for the blocked site. Turn off to use exactly the proxy above.

## Actor input object example

```json
{
  "searchQueries": [
    "ai automation"
  ],
  "splitByCategory": false,
  "price": "any",
  "includeDetails": false,
  "ownerHasWebsite": false,
  "keywordMatch": "any",
  "onlyNewItems": false,
  "stateKey": "default",
  "maxResults": 25,
  "outputPreset": "full",
  "includeEmptyFields": true,
  "maxPagesPerQuery": 34,
  "maxConcurrency": 4,
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "proxyEscalation": true
}
```

# Actor output Schema

## `communities` (type: `string`):

Scraped Skool communities

# 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 = {
    "searchQueries": [
        "ai automation"
    ],
    "maxResults": 25,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("spotless_studios/skool-communities-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 = {
    "searchQueries": ["ai automation"],
    "maxResults": 25,
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("spotless_studios/skool-communities-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 '{
  "searchQueries": [
    "ai automation"
  ],
  "maxResults": 25,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call spotless_studios/skool-communities-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,spotless_studios/skool-communities-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/S8L6vHa2DI4DXxp2k/builds/3zk75uMoRXSXct9L8/openapi.json