🎓 Skool Group Scraper

🎓 Skool Group Scraper

The 🎓 Skool Group Scraper is a fast, reliable Skool group scraper that discovers communities from Skool discovery pages and enriches each with public About-page details. It solves the hassle of manual copy-paste by streaming structured group metadata — names, pricing, owners, counts, media, and visibility flags — directly into your Apify dataset in real time. Built for marketers, developers, data analysts, and researchers, this Skool community scraper scales from quick previews to large Skool group data export jobs with live progress and deduplication across multiple discovery URLs.

What data / output can you get?

Below are examples of the structured fields this Skool web scraper produces. Results stream to the Apify dataset as each row finishes, ready to export to CSV, JSON, or Excel.

Data type	Description	Example value
id	Unique group ID	123456
name	Group slug used in URLs	"growth-hackers"
displayName	Public display name	"Growth Hackers"
description	Short group description	"Learn ethical growth tactics for SaaS."
monthlyPrice	Monthly membership price (major units)	49
monthlyCurrency	ISO currency (lowercase)	"usd"
annualPrice	Annual membership price (major units)	490
annualCurrency	ISO currency (lowercase)	"usd"
totalMembers	Total members count	3127
ownerName	Group owner’s full name	"Jane Doe"
ownerFirstName	Owner given name	"Jane"
ownerLastName	Owner family name	"Doe"
ownerLocation	Owner location (if provided)	"Austin, TX"
landingPageDescription	About/landing copy	"Join us for weekly AMAs and workshops…"
logoUrl	Logo URL (small)	"https://.../logo-small.png"
coverSmallUrl	Cover image URL	"https://.../cover-small.jpg"
audioChatVisible	Tab visibility flag	true
classroomVisible	Tab visibility flag	true
landingPageAttachments	Images/videos from landing page	[ { "type": "image", "imageOriginalUrl": "https://..." } ]

Bonus outputs include owner social links (Instagram, YouTube, Facebook, Twitter, LinkedIn, website), supportEmail (extracted or inferred from landing text), favicon/logoBigUrl, privacy/membership/plan, and created/updated timestamps. You can export the dataset as CSV, JSON, or Excel from the Apify “Output” tab.

Key features

• 🚀 Discover & enrich in one run: Start from Skool discovery pages and enrich each group via its public /about page. Ideal for Skool community data export and quick research snapshots.
• 🔁 Live, streaming saves: Results are pushed as soon as each row is enriched, so you can monitor progress and download partial data instantly.
• 🧠 Accurate pricing normalization: Monthly/annual prices and currencies are parsed and normalized to major units, including zero-decimal currencies.
• 🧱 Dedup across inputs: Safely input multiple discovery URLs — the scraper tracks seen group IDs to avoid duplicates.
• 🧰 Developer-friendly Apify actor: Built on Playwright and the Apify SDK for reliable Skool web scraper automation. Easily integrate the dataset into pipelines and workflows.
• 🌐 Smart connection handling: Optional Apify Proxy support with an automatic “ladder” that escalates to datacenter or residential routes when needed for resilient Skool group scraping automation.
• 💾 Flexible exports: Export Skool group data to CSV, JSON, or Excel formats directly from the dataset for analysis or outreach.

How to use 🎓 Skool Group Scraper - step by step

1. Sign in to your Apify account and open the actor.

2. Add discovery URLs:

   • Paste one or more Skool discovery links into “urls”. The UI supports a simple list (one per line), and the actor accepts strings or objects with a url/URL property.

3. Set a limit:

   • Configure “maxItems” to cap how many communities to collect per discovery URL (1–500, default 100).

4. (Optional) Configure proxy:

   • Leave “proxyConfiguration” off for a direct connection. Turn it on only if you want to use Apify Proxy from the start.

5. Start the run:

   • Click Start. The actor loads each discovery page, fetches community lists, enriches via /about, and streams rows to the dataset.

6. Watch live results:

   • As each community finishes enrichment, a new row appears in the Output dataset with members, pricing, owner info, media attachments, and tab visibility flags.

7. Export your data:

   • Open the Output tab to export as CSV, JSON, or Excel.

Pro tip: Chain this Skool group data extractor with other Apify tasks or your own scripts to power ongoing Skool group scraping automation and analytics.

Use cases

Use case name	Description
Market research & benchmarking	Compare pricing models, membership sizes, and positioning across niches to inform strategy and content roadmaps.
Community scouting for partnerships	Identify relevant communities with owner details and engagement visibility flags to prioritize outreach.
Competitor monitoring	Track new and trending groups (by discovery pages) and analyze public landing copy and media.
Data enrichment for analytics	Enrich internal datasets with structured group IDs, slugs, owners, and counts for dashboards or reports.
Pipeline-ready data collection (API)	Use the Apify dataset API to pull clean JSON for downstream processing and BI.
Academic & social research	Study community growth patterns and public-facing metadata without authentication or cookies.

Why choose 🎓 Skool Group Scraper?

• 🎯 Precision from public pages: Focused on discovery + About enrichment for clean, reliable fields.
• ⚡ Scales with confidence: Handles multiple discovery URLs with de-duplication and concurrency-controlled enrichment.
• 🧩 Developer access: Built on Apify + Playwright for repeatable runs and easy dataset retrieval via API.
• 🔐 Safe-by-design: No login or cookies; collects only publicly available information.
• 🌐 Robust connection strategy: Optional Apify Proxy with an automatic ladder to handle picky connections.
• 💸 Cost-effective exports: Download CSV/JSON/Excel directly from your dataset — no extra tooling needed.

In short: a production-ready Skool members scraper tool for structured community intelligence — without the headaches of unstable browser extensions.

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

Yes — when done responsibly. This tool collects publicly available information from Skool discovery and About pages and does not access private or authenticated data.

Guidelines:

• Scrape only data you’re allowed to access and use.
• Comply with platform terms and applicable laws (e.g., GDPR/CCPA).
• Avoid personal/sensitive data and respect user privacy.
• Consult your legal team for edge cases in your jurisdiction.

Input parameters & output format

Example JSON input

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

Parameter reference

Parameter	Type	Required	Default	Description
urls	array (stringList)	Yes	none	One or more Skool discovery page URLs to collect from. Each run walks the list and enriches groups with public profile-style details.
maxItems	integer	No	100	Cap of communities per discovery URL (1–500). Use a small number to preview or a higher number for a larger export.
proxyConfiguration	object	No	none (prefill shows useApifyProxy: false)	Optional Apify Proxy settings. Turn on if you want to route through Apify Proxy from the start; otherwise the actor handles connection hiccups automatically when possible.

Example JSON output

{
  "id": 123456,
  "name": "growth-hackers",
  "displayName": "Growth Hackers",
  "description": "Learn ethical growth tactics for SaaS.",
  "landingPageDescription": "Join us for weekly AMAs and workshops on acquisition, activation, and retention.",
  "supportEmail": "hello@growthhackers.io",
  "monthlyPrice": 49,
  "monthlyCurrency": "usd",
  "annualPrice": 490,
  "annualCurrency": "usd",
  "color": "#123ABC",
  "initials": "GH",
  "privacy": "public",
  "membership": "open",
  "plan": "pro",
  "landingPageAccessType": "open",
  "affiliatePercent": 0,
  "pluginAutoDmEnabled": 0,
  "pluginMinChatLevelEnabled": 0,
  "surveyEnabled": 0,
  "surveyQuestions": [],
  "surveyUpdatedAt": null,
  "logoUrl": "https://cdn.skool.com/.../logo-small.png",
  "logoBigUrl": "https://cdn.skool.com/.../logo-big.png",
  "coverSmallUrl": "https://cdn.skool.com/.../cover-small.jpg",
  "faviconUrl": "https://cdn.skool.com/.../favicon.ico",
  "customLinks": [],
  "totalMembers": 3127,
  "totalOnlineMembers": 214,
  "totalAdmins": 3,
  "totalPosts": 842,
  "totalRules": 5,
  "numCourses": 4,
  "numModules": 27,
  "audioChatVisible": true,
  "calendarVisible": true,
  "classroomVisible": true,
  "mapVisible": false,
  "landingPageAttachments": [
    {
      "id": "att_001",
      "type": "image",
      "imageFileId": "file_abc",
      "imageOriginalUrl": "https://cdn.skool.com/.../hero.png",
      "imageSmallUrl": "https://cdn.skool.com/.../hero_small.png",
      "imageBigUrl": "https://cdn.skool.com/.../hero_big.png",
      "videoId": null,
      "videoUrl": null,
      "videoThumbnailUrl": null
    }
  ],
  "ownerId": 98765,
  "ownerName": "Jane Doe",
  "ownerFirstName": "Jane",
  "ownerLastName": "Doe",
  "ownerBio": "Community builder and growth strategist.",
  "ownerLocation": "Austin, TX",
  "ownerDiscTop": null,
  "ownerActivityStatus": "active",
  "ownerMyersBriggs": null,
  "ownerOnline": true,
  "ownerLastOffline": null,
  "ownerPictureProfile": "https://cdn.skool.com/.../profile.jpg",
  "ownerPictureBubble": "https://cdn.skool.com/.../bubble.jpg",
  "ownerInstagram": "https://instagram.com/janedoe",
  "ownerYoutube": null,
  "ownerFacebook": null,
  "ownerTwitter": "https://twitter.com/janedoe",
  "ownerLinkedin": "https://www.linkedin.com/in/janedoe",
  "ownerWebsite": "https://janedoe.com",
  "ownerCreatedAt": "2023-01-15T12:34:56.000Z",
  "ownerUpdatedAt": "2026-02-20T09:12:00.000Z",
  "createdAt": "2024-05-10T08:00:00.000Z",
  "updatedAt": "2026-04-01T12:00:00.000Z",
  "createdBy": "system"
}

Notes:

• Fields may be null if not present on the public page (e.g., supportEmail, certain owner social links).
• Pricing fields are normalized; zero‑decimal currencies remain unscaled.

FAQ

Do I need to log in to scrape Skool groups?

No. This Skool group scraper works without login or cookies by collecting data from public discovery and About pages.

What data does this actor collect?

It extracts structured group and owner metadata such as IDs, slugs, descriptions, pricing, member counts, owner profile fields, tab visibility flags, media attachments, and timestamps. It does not scrape private data, member lists, posts, or comments.

How many groups can I export per run?

You control this via “maxItems” (1–500) per discovery URL. You can add multiple discovery URLs; the actor de-duplicates groups across them.

Can I export results to CSV or JSON?

Yes. Open the Output dataset after the run and export to CSV, JSON, or Excel. This supports Skool group data export and downstream analysis.

Does it support proxies?

Yes. You can enable “proxyConfiguration” to use Apify Proxy from the start. If you leave it off, the actor applies a smart connection strategy that escalates routes when needed.

Is this suitable for automation workflows?

Yes. Results stream to an Apify dataset that you can pull via API for automated pipelines. It’s a solid base for Skool group scraping automation and “Skool API scraping”-style workflows using structured JSON.

Is it legal to scrape this data?

Yes, when done responsibly. The actor collects only publicly available information. You’re responsible for complying with Skool’s terms and relevant regulations.

Does it extract a Skool group member list?

No. This tool focuses on discovery and About-page enrichment (group metadata, pricing, owner details, and visibility/media fields). It does not export Skool group members or retrieve posts/comments.

Final thoughts

The 🎓 Skool Group Scraper is built for structured, reliable Skool community discovery and About-page enrichment at scale. It delivers clean JSON rows with pricing, member counts, owner info, media, and visibility flags — streamed live to your dataset for fast Skool community data export. Whether you’re a marketer, developer, analyst, or researcher, use the Apify dataset and API to integrate results into dashboards, enrichment, or automation pipelines. Start extracting smarter insights from public Skool communities — quickly, accurately, and at scale.