Skool Community Posts Scraper

The NanoScrape Skool Community Scraper is an Apify actor that extracts public social media posts and profiles from skool.com. It returns 23 fields per result including title, category, content, author_name, author_slug, priced at $1.5/1k post, with no API key or monthly subscription required.

Collect posts from public Skool communities: title, text, author, likes, comment count, category, pinned flag, dates and the post link (source platform). Members-only communities are skipped. Pay-per-result.

What you can scrape — 23 fields per result

Input example — showcase (full detail)

{
  "communityUrls": [
    "https://www.skool.com/chatgpt"
  ],
  "maxPostsPerCommunity": 10,
  "maxResults": 30
}

Output example — real dataset item (PII scrubbed)

{
  "post_id": "42116182c380462c97a07162bd9f2afd",
  "title": "ChatGPT Slides is here. Try it on a real business task.",
  "content": "Hi guys! OpenAI added ChatGPT Slides on 16 October, and this looks worth a look if you regularly put together proposals, training sessions or webinars.\n\nYou can start with notes, files or an existing outline, then edit the text, images and charts in the presentation itself. You can also work on the same deck with teammates in Space. On the web, exports include PowerPoint, PDF and Google Slides.\n\nThe important catch: it’s rolling out to eligible Pro, Business and Enterprise users with Space access. Don’t assume it’s available on every account yet.\n\nRather than asking for a generic “sales presentation”, give it something real to work with. A simple first test would be a proposal you’re already preparing.\n\nTry this in ChatGPT Work:\n\n“Create a six-slide presentation in Space from these notes for \\[audience\\]. Cover their problem, the proposed approach, what’s included, the timeline, the price and the next step. Use only the information I’ve supplied. Flag missing details rather than filling them in. Keep each slide focused on one point.”\n\nThen check the claims, numbers and anything that sounds like a promise before sharing it. Only use material you’re allowed to upload.\n\nA polished deck can still contain a weak argument. Does each slide help the person understand the offer or make a decision? If not, cut it.\n\nCheers\n\nJason",
  "author_name": "Jason West",
  "author_slug": "jason-west-5593",
  "like_count": 16,
  "comment_count": 9,
  "pinned": true,
  "posted_at": "2026-10-21T15:34:47.303004Z",
  "post_url": "https://www.skool.com/chatgpt/chatgpt-slides-is-here-try-it-on-a-real-business-job",
  "community_name": "ChatGPT Users",
  "community_slug": "chatgpt",
  "source_platform": "skool.com",
  "scraped_at": "2026-10-28T04:33:19Z",
  "post_slug": "chatgpt-slides-is-here-try-it-on-a-real-business-job",
  "updated_at": "2026-10-27T02:43:16.159588Z",
  "last_comment_at": "2026-10-24T09:02:23Z",
  "category": "News and Updates",
  "author_url": "https://www.skool.com/@jason-west-5593",
  "community_url": "https://www.skool.com/chatgpt",
  "image_url": "https://assets.skool.com/f/985eda24eb9f41ba8b526d2e74f5f33f/d4e50e1c0b444e6c8eb4c333a99d77fbdaa63604833e49afa4f2eec4cdbde9ef.png",
  "video_links": [],
  "attachment_count": 1
}

Cost math

Priced at $0.0015 per post ($1.50 per 1,000). Each post is charged once per run; a run with no posts costs nothing. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.

Input

Put communities in communityUrls as full URLs such as https://www.skool.com/chatgpt or as bare slugs such as chatgpt; a list or one comma-separated text both work. maxPostsPerCommunity (default 100, 0 for no limit) caps the posts per community; about 30 posts are read per page and more pages load as needed. maxResults (default 0, no limit) stops after that many posts in total. Members-only communities are skipped and named in the run status. An empty input runs a sample of about 10 posts from one public community.

Integrations

• n8n / Make / Zapier — trigger runs and process results via webhook
• AI Agents (MCP) — Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
• Python / Node.js — Apify SDK for programmatic access
• Google Sheets / Airtable — export via Apify integrations

Run this actor directly on Apify (no code)

Click Open on Apify above to run skool-community-scraper in your browser - no code, no install. In the Apify console you get:

• One-click test - fill in the input form, or paste the JSON example above into the JSON editor tab, then hit Start.
• Live output - watch rows stream into an interactive Output table as they arrive, or flip to the raw JSON / Log view.
• Export in any format - one click to download the dataset as JSON, CSV, XML, Excel, HTML table, RSS, or JSONL.
• Schedules - run this actor daily, weekly, hourly, or on a custom cron. Apify handles timing and stores every dataset run.
• Integrations & webhooks - fire a webhook on success/failure, or plug into Zapier, n8n, Make, Airbyte, Google Sheets, Slack, S3, Postgres, and more from the Actions tab.
• Transparent cost - see exact usage against your $5/month free tier before you spend a cent.

Get your Apify API token

To run this actor from your own code you need an Apify API token. Get one in about a minute:

1. Sign up for a free Apify account (Google, GitHub, or email).
2. Go to Settings → Integrations → API tokens.
3. Click Create a new API token. Copy it and keep it secret.

Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully. How many results that covers depends on the actor's price per result.

Call from code

Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~skool-community-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/skool-community-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/skool-community-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)

// dotnet add package Apify.Client
using Apify.Client;

var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/skool-community-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();

// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;

ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/skool-community-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();

Use with AI agents (MCP)

This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.

https://mcp.apify.com?tools=santamaria-automations/skool-community-scraper

Example prompt once connected:

"Use <code>skool-community-scraper</code> to run a scrape on my target list and give me the results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Use with no-code platforms

Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.

FAQ

Related actors in this category

Last verified run: 2026-10-28 · Actor v1.1.1 · Maintained by NanoScrape (santamaria-automations on Apify)