Skool Scraper — Extract Posts, Comments & Member Engagement from Any Skool Community

The fastest Skool scraper on Apify. Extract community posts, comments, engagement metrics, and member activity from any Skool.com group in seconds — not minutes.

Perfect for community managers, growth marketers, and anyone who needs Skool data at scale.

Why Choose This Skool Scraper?

Most Skool scrapers use full browser automation — slow, expensive, and fragile. This scraper uses Skool's internal Next.js data API, making it:

• ⚡ 10x faster — 35 posts in 6 seconds (vs 5-7 minutes with browser scrapers)
• 💰 90% cheaper — $0.004 compute per run (vs $0.05+ with browser-based tools)
• 🔒 More reliable — No DOM parsing that breaks on UI changes
• 🧠 Smart auth caching — Logs in once, caches for 3.5 days. No repeated logins.

Speed Comparison

Metric	This Scraper	Browser Scrapers
35 posts	6 seconds	5-7 minutes
Speed	~10 posts/sec	~1 post/min
Memory	256 MB	1-4 GB
Cost/run	~$0.004	~$0.05+

What Data Do You Get?

Every scraped post includes structured, clean JSON:

{
  "post_id": "c/abc123",
  "title": "How I automated my community engagement",
  "content": "Here's my exact workflow for responding to every post...",
  "author": "John Doe",
  "authorSlug": "john-doe-1234",
  "timestamp": "2026-02-20T15:30:00.000Z",
  "url": "https://www.skool.com/my-community/how-i-automated-abc123",
  "likes": 12,
  "comment_count": 5,
  "comments": [
    {
      "author": "Jane Smith",
      "content": "This is exactly what I needed!",
      "likes": 3,
      "timestamp": "2026-02-20T16:00:00.000Z"
    }
  ],
  "labels": ["Tips & Tricks"],
  "pinned": false,
  "userReplied": true
}

Full Data Fields

Field	Type	Description
post_id	string	Unique post identifier
title	string	Post title
content	string	Full post body (text)
author	string	Author display name
authorSlug	string	Author profile slug
timestamp	string	ISO 8601 date
url	string	Direct link to post
likes	number	Upvotes count
comment_count	number	Total comments
comments	array	Full comment threads with replies, authors, likes
labels	array	Post category labels
pinned	boolean	Pinned post flag
userReplied	boolean	Whether your tracked user replied

Use Cases

🎯 Community Management

Scrape your Skool community to find unanswered posts, track response rates, and ensure every member gets engagement. Set onlyUnanswered: true to see only posts without replies.

📈 Growth & Lead Generation

Extract member activity patterns, identify top contributors, and analyze what content drives the most engagement. Feed the data into your CRM or spreadsheet.

🤖 Engagement Automation

Connect this scraper to n8n, Make, or Zapier to build automated workflows: scrape → analyze → respond. Run it on a schedule to never miss a new post.

🔍 Competitor Research

Monitor competitor Skool communities. See what topics get traction, how active their community is, and what their members are asking about.

📊 Content Strategy

Analyze which post types (questions, tutorials, wins, introductions) get the most engagement. Use data to plan your content calendar.

💾 Data Backup & Export

Export your entire Skool community to JSON, CSV, or Excel. Back up your content before it's gone.

Input Parameters

Required

Parameter	Type	Description
groupSlug	string	Community slug from the URL. For https://www.skool.com/my-community → my-community

Authentication

Parameter	Type	Description
email	string	Your Skool account email
password	string	Your Skool account password (encrypted in transit)

No credentials? The scraper runs in demo mode and returns basic public group info — great for testing before you buy.

Optional

Parameter	Type	Default	Description
maxPosts	integer	100	Maximum posts to scrape (1–1,000)
userToCheck	string	—	Your Skool username slug — marks which posts you've already replied to
onlyUnanswered	boolean	false	Only return posts with zero comments

Quick Start Examples

Scrape 50 posts from any community

{
  "groupSlug": "my-community",
  "email": "your@email.com",
  "password": "your_password",
  "maxPosts": 50
}

Find unanswered posts (community management)

{
  "groupSlug": "my-community",
  "email": "your@email.com",
  "password": "your_password",
  "maxPosts": 200,
  "userToCheck": "your-username-1234",
  "onlyUnanswered": true
}

Track your engagement across all posts

{
  "groupSlug": "my-community",
  "email": "your@email.com",
  "password": "your_password",
  "maxPosts": 500,
  "userToCheck": "your-username-1234"
}

Each post will have userReplied: true/false so you can instantly see where you've engaged and where you haven't.

Integration Examples

Apify API (cURL)

curl -X POST "https://api.apify.com/v2/acts/cristiantala~skool-community-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "groupSlug": "my-community",
    "email": "you@email.com",
    "password": "your_password",
    "maxPosts": 50
  }'

JavaScript / Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('cristiantala/skool-community-scraper').call({
    groupSlug: 'my-community',
    email: 'you@email.com',
    password: 'your_password',
    maxPosts: 50
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Found ${items.length} posts`);

// Find unanswered posts
const unanswered = items.filter(p => p.comment_count === 0);
console.log(`${unanswered.length} posts need a reply!`);

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")

run = client.actor("cristiantala/skool-community-scraper").call(run_input={
    "groupSlug": "my-community",
    "email": "you@email.com",
    "password": "your_password",
    "maxPosts": 50,
})

items = client.dataset(run["defaultDatasetId"]).list_items().items
for post in items:
    status = "✅" if post.get("userReplied") else "📌"
    print(f"{status} {post['title']} — {post['likes']} likes, {post['comment_count']} comments")

n8n / Make / Zapier

Use the Apify integration node to run this actor on a schedule. Combine with Slack, email, or Google Sheets to build a complete community management dashboard.

Pricing

Simple, transparent, pay-per-result pricing:

Event	Price
Per post scraped	$0.005
Actor start (per run)	$0.10

Cost Examples

Posts	Cost	Per post
50 posts	$0.35	$0.007
200 posts	$1.10	$0.006
500 posts	$2.60	$0.005
1,000 posts	$5.10	$0.005

Platform compute costs are included — no hidden fees. What you see is what you pay.

How Authentication Works

1. First run: The scraper opens a browser, logs into Skool with your credentials, and extracts auth tokens
2. Token caching: Auth tokens are encrypted and cached for 3.5 days in Apify's secure KeyValueStore
3. Subsequent runs: Skip the browser entirely — pure HTTP requests for maximum speed
4. Auto-refresh: When tokens expire, the scraper automatically re-authenticates

Your credentials are never stored externally — only the encrypted session tokens are cached, and only within your Apify account.

⚠️ You must be a member of the Skool community you want to scrape.

FAQ

How do I find my community slug? It's the part after skool.com/ in your community URL. For https://www.skool.com/my-awesome-group the slug is my-awesome-group.

How do I find my user slug? Go to your Skool profile. Your URL will be skool.com/@your-slug. Use your-slug as the userToCheck parameter.

Can I scrape private/paid communities? Yes — as long as your account is a member of that community. The scraper uses your account's access level.

Can I scrape multiple communities? Yes. Run the scraper once per community. Auth caching works across runs for the same Skool account.

What if Skool updates their platform? The scraper auto-recovers from stale build IDs (common after Skool deploys). For breaking changes, updates are pushed within 24 hours.

Is there a limit on posts? Up to 1,000 posts per run. For larger communities, run multiple times with pagination.

Can I export to CSV/Excel? Yes — Apify's default dataset supports JSON, CSV, Excel, XML, and RSS exports. Just click "Export" in the dataset view.

Support

Found a bug? Need a feature? Open an issue on the Issues tab.

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Built by Cristian Tala — entrepreneur, angel investor, and automation enthusiast. Creator of El Ecosistema Startup.