🎓 Skool Group Scraper

🎓 Skool Group Scraper

The 🎓 Skool Group Scraper is a discovery-page Skool.com group scraper that finds communities from Skool’s discovery pages, enriches each with public About-page details, and streams structured results to your Apify dataset as they’re saved. It solves the “where do I find accurate Skool group data at scale?” problem by automating discovery, enrichment, and export — ideal for marketers, developers, data analysts, and researchers. As a Skool group data extractor and Skool community scraper, it enables scalable analysis, lead qualification, and community intelligence without manual browsing.

What data / output can you get?

Below are examples of real output fields this Skool group scraper tool produces. Values are illustrative.

Data type	Description	Example value
id	Unique group ID	123456
name	Group slug used in URLs	growth-marketers-club
displayName	Public group name	Growth Marketers Club
description	Short group blurb	Learn growth strategies with weekly sessions
monthlyPrice	Monthly price in major units	49
monthlyCurrency	ISO currency (lowercase)	usd
annualPrice	Annual price in major units	490
annualCurrency	ISO currency (lowercase)	usd
totalMembers	Total member count	1,842
ownerName	Full owner name	Jamie Doe
ownerLocation	Owner location (if public)	Austin, TX
landingPageDescription	Public About-page copy	Join our weekly live classes and Q&A
landingPageAccessType	Landing-page access model	public
logoUrl	Group logo URL	https://cdn.skool.../logo.png
coverSmallUrl	Cover image (small)	https://cdn.skool.../cover-small.jpg
calendarVisible	Calendar tab visibility	true

Bonus fields include supportEmail (derived from owner or About copy), About-page media (landingPageAttachments), visibility of tabs (audioChatVisible, classroomVisible, mapVisible), owner social links, and created/updated timestamps. Results are exportable from the Apify dataset in CSV and JSON formats for Skool community data export CSV workflows.

Key features

• ⚡ Live, streaming saves to dataset
  Rows are saved as soon as each community is enriched, so you can monitor progress in near real time while you scrape Skool group members metadata like totalMembers.

• 🔎 Discovery-to-enrichment workflow
  Starts from Skool discovery pages, gathers groups, and enriches them with public About-page details (owner profile fields, tabs visibility, media, and metadata) — a reliable Skool group scraper tool for structured exports.

• 🧭 Smart pagination via Next.js data
  Efficiently loads additional discovery pages through Skool’s Next.js data endpoints for deeper coverage up to your limit — ideal for a Skool group data scraper Python pipeline.

• 🧱 Duplicate-safe collection
  Deduplicates groups across multiple discovery URLs using internal IDs to avoid repeated rows in your Skool group members list download.

• 🌐 Adaptive proxy ladder (automatic)
  Tries direct connection first, then tiers through Apify Proxy DATACENTER and RESIDENTIAL as needed for reliable loading. You can also provide your own Apify Proxy settings.

• 🧰 Developer-friendly (Python + Apify SDK)
  Built with Playwright and the Apify Python SDK. Fetch results via the Apify API to power your Skool group scraper API use cases and automations.

• 🧾 Clean, structured output
  Captures pricing (monthly/annual), membership model, owner metadata, media attachments, tabs visibility, and counts — ready for CSV/JSON export.

• 🔒 Public pages only
  Targets Skool discovery and public About pages — no login or cookies in the workflow. This makes it a safe alternative to any Skool group scraper Chrome extension.

How to use 🎓 Skool Group Scraper - step by step

1. Sign in to Apify and open the “🎓 Skool Group Scraper” actor.
2. Paste one or more Skool discovery URLs into “Discovery page URLs” (one per line is fine). Example prefill: https://www.skool.com/discovery
3. Set “How many communities max?” to control per-URL depth (default 100, min 1, max 500).
4. (Optional) Open “Proxy (optional)” and turn on Apify Proxy if you want to run through your proxy settings from the start. Otherwise, the actor automatically adjusts connection paths when needed.
5. Click Start. The run will load discovery pages, collect groups, then enrich each via its About page.
6. Watch results stream to the Output dataset as they finish. Logs show progress, including members count per saved row.
7. Export your dataset to CSV or JSON from the Apify UI or via the Apify API.

Pro Tip: For automation, schedule runs on Apify and consume the dataset via the API in your Python workflows — perfect for a repeatable Skool group scraper Python pipeline.

Use cases

Use case name	Description
Market research + benchmarking	Aggregate group counts, pricing, and owners to compare niches and track community trends over time.
Competitor snapshots for growth teams	Build a shortlist of relevant communities, then filter by totalMembers or pricing to guide outreach and partnerships.
Lead sourcing for community-led growth	Identify active communities with visible owners and collect supportEmail when present for compliant outreach.
Analyst dashboards and reporting	Export CSV/JSON to BI tools and monitor changes in membership, pricing signals, and About-page positioning.
Academic research on online communities	Collect public metadata across groups at scale for studies on growth, engagement structures, and ownership patterns.
API pipeline for enrichment	Run on a schedule and fetch datasets programmatically via the Apify API to feed internal data lakes or CRM enrichment.

Why choose 🎓 Skool Group Scraper?

A precise, production-ready Skool.com group scraper built for automation, reliability, and structured outputs.

• ✅ Accurate, structured fields using Next.js data and About-page parsing
• ⚡ Streams results live to your dataset for real-time visibility
• 🔁 Automatic proxy ladder for robust completion without manual tuning
• 🧩 Developer access via the Apify platform and API for easy integration
• 🔒 Public-page targeting for a safe, predictable workflow
• 💰 Cost-effective automation on Apify — export CSV/JSON without extra tooling
• 🧱 Built as an Apify actor rather than a fragile browser extension, avoiding local environment pitfalls

In short: a reliable Skool community scraper you can run at scale with clean, repeatable outputs.

Is it legal / ethical to use 🎓 Skool Group Scraper?

Yes — when done responsibly. This actor targets Skool’s public discovery and About pages and does not access authenticated content. Only collect data you’re allowed to access and ensure compliance with Skool’s terms and applicable laws such as GDPR/CCPA. Avoid misuse of contact fields and consult your legal team for edge cases or jurisdiction-specific requirements.

Input parameters & output format

Example JSON input

{
  "urls": [
    "https://www.skool.com/discovery"
  ],
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

Input fields (from actor schema):

• urls (array, required): Add one or more Skool discovery links. Each run walks the list, finds communities, and enriches them with public profile-style details — so your Output table fills in as we go. Default: none (UI prefill provides https://www.skool.com/discovery).
• maxItems (integer, optional): Cap per discovery URL to keep runs fast and predictable. Minimum 1, maximum 500. Default: 100.
• proxyConfiguration (object, optional): Turn on only if you want to run through Apify Proxy from the start. Leave off for the normal experience (the actor handles hiccups automatically when possible). Default: {"useApifyProxy": false}.

Example JSON output

{
  "id": 123456,
  "name": "growth-marketers-club",
  "displayName": "Growth Marketers Club",
  "description": "Learn growth strategies with weekly sessions",
  "landingPageDescription": "Join our weekly live classes and Q&A",
  "supportEmail": "hello@growthclub.io",
  "monthlyPrice": 49,
  "monthlyCurrency": "usd",
  "annualPrice": 490,
  "annualCurrency": "usd",
  "color": "#4A90E2",
  "initials": "GM",
  "privacy": "public",
  "membership": "paid",
  "plan": "pro",
  "landingPageAccessType": "public",
  "affiliatePercent": 0,
  "pluginAutoDmEnabled": 0,
  "pluginMinChatLevelEnabled": 0,
  "surveyEnabled": 0,
  "surveyQuestions": [],
  "surveyUpdatedAt": null,
  "logoUrl": "https://cdn.skool.com/files/logo.png",
  "logoBigUrl": "https://cdn.skool.com/files/logo-big.png",
  "coverSmallUrl": "https://cdn.skool.com/files/cover-small.jpg",
  "faviconUrl": "https://cdn.skool.com/files/favicon.ico",
  "customLinks": [],
  "totalMembers": 1842,
  "totalOnlineMembers": 73,
  "totalAdmins": 3,
  "totalPosts": 512,
  "totalRules": 5,
  "numCourses": 6,
  "numModules": 42,
  "audioChatVisible": true,
  "calendarVisible": true,
  "classroomVisible": true,
  "mapVisible": false,
  "landingPageAttachments": [
    {
      "id": 987,
      "type": "image",
      "imageFileId": "file_abc123",
      "imageOriginalUrl": "https://cdn.skool.com/files/hero.jpg",
      "imageSmallUrl": "https://cdn.skool.com/files/hero-small.jpg",
      "imageBigUrl": "https://cdn.skool.com/files/hero-big.jpg",
      "videoId": null,
      "videoUrl": null,
      "videoThumbnailUrl": null
    }
    ],
  "ownerId": 222333,
  "ownerName": "Jamie Doe",
  "ownerFirstName": "Jamie",
  "ownerLastName": "Doe",
  "ownerBio": "Marketer, educator, and community builder.",
  "ownerLocation": "Austin, TX",
  "ownerDiscTop": null,
  "ownerActivityStatus": "active",
  "ownerMyersBriggs": null,
  "ownerOnline": true,
  "ownerLastOffline": "1713379200",
  "ownerPictureProfile": "https://cdn.skool.com/files/jamie-profile.jpg",
  "ownerPictureBubble": "https://cdn.skool.com/files/jamie-bubble.jpg",
  "ownerInstagram": "https://instagram.com/jamiedoemarketing",
  "ownerYoutube": null,
  "ownerFacebook": null,
  "ownerTwitter": "https://twitter.com/jamiedoe",
  "ownerLinkedin": "https://www.linkedin.com/in/jamiedoe",
  "ownerWebsite": "https://growthclub.io",
  "ownerCreatedAt": "2021-06-10T12:00:00.000Z",
  "ownerUpdatedAt": "2024-11-01T09:30:00.000Z",
  "createdAt": "2022-03-15T08:20:00.000Z",
  "updatedAt": "2026-01-05T14:05:00.000Z",
  "createdBy": 222333
}

Notes:

• Many fields may be null when data isn’t publicly provided (e.g., owner social links, survey fields, some About-page metadata).
• Pricing is normalized to major currency units and currencies are lowercase ISO codes where present.
• Rows are pushed incrementally via the Apify dataset; export CSV or JSON at any time.

FAQ

Is there a free tier or specific Skool group scraper pricing?

✅ You run this actor on Apify, where usage-based pricing applies. Start with small runs to estimate cost, and see Apify’s pricing page for details.

Do I need to log in or use cookies to run this Skool.com group scraper?

❌ No. The actor targets Skool’s public discovery and About pages and does not require login or cookies.

Can I use this as a Skool group scraper API or with Python?

💻 Yes. After a run, fetch your dataset via the Apify API and integrate it into your Python workflows. The actor itself is built with the Apify Python SDK and Playwright.

How many groups can I scrape per run?

📈 Control depth with the “maxItems” input (1–500) per discovery URL. Add multiple discovery URLs to broaden coverage; the actor deduplicates groups by ID.

What data does it extract from Skool groups?

🧩 It collects structured discovery and About-page details including id, name, displayName, description, pricing (monthly/annual), totalMembers, owner fields, tabs visibility, media attachments, and timestamps, then streams rows to the dataset.

Does this replace a Skool group scraper Chrome extension?

🔌 It’s an Apify actor, not a browser extension. That means server-side reliability, automatic proxy handling, and direct CSV/JSON exports — no local setup required.

Can this Skool group scraping bot collect posts, comments, or member lists?

🗂️ This actor focuses on discovery and About-page enrichment. It does not collect posts, comments, or export member lists/emails. If you’re evaluating a Skool forum scraper or Skool members email extractor, note that those aren’t covered here.

How does proxying work?

🛡️ By default, it connects directly and automatically escalates through a proxy ladder (DATACENTER → RESIDENTIAL) when needed. You can also enable your own Apify Proxy settings in the input.

Final thoughts

The 🎓 Skool Group Scraper is built to discover Skool communities, enrich them with public About-page details, and export clean records at scale. It delivers streaming saves, robust connection handling, and developer-friendly access for marketers, analysts, and engineering teams alike. Use it as a Skool group scraper API endpoint in your Python automations, or run ad hoc to export CSV/JSON snapshots for market research and community intel. Start extracting smarter Skool community insights — reliably and at scale.