Skool Community Scraper – Posts & Members

What does Skool Community Scraper do?

Skool Community Scraper extracts structured data from any public or private Skool.com community — including posts with engagement metrics and full member profiles — and delivers it in clean JSON format ready for analysis, CRM import, or audience research.

Simply provide your community URL, authenticate with your email/password or session cookies, and the scraper handles the rest: pagination, anti-bot evasion, deduplication, and data normalization. It runs entirely on the Apify platform with automatic proxy rotation, scheduling, and one-click integrations with Google Sheets, Zapier, Make, and more.

🆓 Try it free — Apify's Free tier includes enough compute to scrape hundreds of posts or members per month.

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Why use Skool Community Scraper?

Use Case	How This Actor Helps
Lead Generation	Extract member profiles (bio, location, social links) to build targeted outreach lists
Community Analytics	Track post engagement (likes, comments) to identify top content and active contributors
Competitor Research	Monitor competitor Skool communities for content strategy and member growth
CRM Enrichment	Pull member handles and social profiles to enrich your existing contact database
Content Repurposing	Collect high-performing posts for newsletter or social media inspiration
Market Research	Analyze community discussions to understand audience pain points and interests

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How to use Skool Community Scraper

Step 1 — Open the Actor

Go to the Input tab on the Actor's page in Apify Console.

Step 2 — Add your Start URLs

Paste one or more Skool URLs into Start URLs:

URL Format	What gets scraped
https://www.skool.com/your-community	All posts in the community feed
https://www.skool.com/your-community/-/members	All member profiles in the community
Both URLs together	Posts and members in one run

Step 3 — Authenticate

Choose one method:

• Email + Password — enter your Skool login credentials in the email and password fields.
• Session Cookies — copy your cookies from browser DevTools (F12 → Application → Cookies → www.skool.com), paste the JSON array into the cookies field. The login step is skipped entirely.

Step 4 — Configure (optional)

• Max Pages — limit how many listing pages are scraped per URL (default: 0 = unlimited).

Step 5 — Run & Export

Click Save & Run. When the run finishes, go to the Dataset tab and export your results as JSON, CSV, Excel, or HTML.

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Input

Field	Type	Required	Description
startUrls	Array	✅	One or more Skool community or members URLs
email	String	⬜	Login email (required if not using cookies)
password	String	⬜	Login password (required if not using cookies)
cookies	String	⬜	Session cookies as JSON array (skips login form)
maxPages	Integer	⬜	Max listing pages per URL — 0 means unlimited (default: 0)

Example input (JSON):

{
    "startUrls": [
        { "url": "https://www.skool.com/your-community" },
        { "url": "https://www.skool.com/your-community/-/members" }
    ],
    "email": "you@example.com",
    "password": "yourpassword",
    "maxPages": 0
}

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Output

All data is saved to a single default dataset. Each item has a type field ("post" or "member") so you can filter records downstream.

In Apify Console, use the Posts or Members view tabs to see data formatted for each type.

Post record

{
    "type": "post",
    "postUrl": "https://www.skool.com/landconquest/my-first-post-abc123",
    "title": "My First Post",
    "username": "John Doe",
    "label": "General",
    "labelUrl": "https://www.skool.com/landconquest?l=general",
    "content": "Hey everyone! Excited to be here...",
    "likes": 42,
    "comments": 17,
    "scrapedAt": "2024-06-01T08:23:11.000Z"
}

Member record

{
    "type": "member",
    "profileUrl": "https://www.skool.com/@johndoe",
    "username": "John Doe",
    "handle": "@johndoe",
    "bio": "Entrepreneur | Land investor | Building in public",
    "onlineStatus": "Active 2h ago",
    "joined": "January 15, 2024",
    "personality": "INTJ",
    "location": "Austin, TX",
    "contributions": 38,
    "followers": 124,
    "following": 57,
    "socialLinks": ["https://twitter.com/johndoe", "https://linkedin.com/in/johndoe"],
    "scrapedAt": "2024-06-01T08:25:44.000Z"
}

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Data fields reference

Posts

Field	Type	Description
type	String	Always "post"
postUrl	String	Direct URL to the post
title	String	Post headline
username	String	Author display name
label	String	Community category/label
labelUrl	String	URL filtered to that label
content	String	Full post body text
likes	Number	Total likes count
comments	Number	Total comments count
scrapedAt	String	ISO 8601 timestamp of when data was collected

Members

Field	Type	Description
type	String	Always "member"
profileUrl	String	Direct URL to the member profile
username	String	Display name
handle	String	Unique @handle
bio	String	Profile biography
onlineStatus	String	"Online now", "Active X ago", or "Offline"
joined	String	Join date (e.g. "January 2024")
personality	String	MBTI type if set (e.g. "INTJ")
location	String	Self-reported location
contributions	Number	Total posts + comments count
followers	Number	Number of followers
following	Number	Number of accounts followed
socialLinks	Array	External social media profile URLs
scrapedAt	String	ISO 8601 timestamp of when data was collected

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Cost & performance

Skool.com is a JavaScript-heavy SPA that requires a full browser (Puppeteer/Chrome). The Actor uses maxConcurrency: 1 and human-like delays to avoid detection and respect the platform.

Scenario	Estimated Compute Units
Scraping 100 posts	~0.5–1 CU
Scraping 500 posts	~2–4 CU
Scraping 500 member profiles	~3–5 CU
Full community (posts + members)	~5–15 CU depending on size

Apify Free tier includes $5/month in compute credit — enough for several hundred records per month. Paid plans start at $49/month.

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Tips & best practices

• Use cookies for reliability — Session cookies avoid the login step and are more stable. Export them from Chrome DevTools once and reuse across runs.
• Start with maxPages: 3 — Test a small run first to verify data quality before scraping the full community.
• Schedule regular runs — Use Apify's built-in scheduler to capture new posts and members daily or weekly.
• Filter by type — Use the dataset API ?fields=type,username,handle to pull only the fields you need for your pipeline.
• Integrate with Google Sheets — Connect the Actor output directly to a Google Sheet via Apify's native Google Sheets integration — no code needed.

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Frequently asked questions

Is scraping Skool.com legal? This Actor collects data from communities you have legitimate access to (you must be a member or admin). Always comply with Skool's Terms of Service and applicable data protection laws (GDPR, CCPA). Do not use this tool to collect personal data without a lawful basis.

Do I need a Skool account? Yes. You must be a member of the community you want to scrape. The Actor uses your credentials (or cookies) to authenticate.

Will this get my account banned? The Actor uses conservative rate limits (maxRequestsPerMinute: 6), human-like typing delays, and realistic browser fingerprinting to minimize detection risk. However, use responsibly and avoid scraping at very high volumes.

Can I scrape multiple communities at once? Yes — add multiple URLs to startUrls. The Actor processes them sequentially in a single run.

What if my cookies expire? The Actor will log a warning and stop gracefully. Simply refresh your cookies from the browser and update the input.

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🆘 Support

Channel	Details
Email	ScrapySpider@protonmail.com
Website	ScrapySpider.com
Apify	Open an issue on this Actor's page