🎓 Skool Group Scraper

🎓 Skool Group Scraper

The 🎓 Skool Group Scraper is a fast, reliable Skool group scraper tool that discovers Skool communities from discovery pages and enriches each with public “About” details like pricing, owner profile metadata, members count, tabs visibility, and landing-page media. It solves the manual copy–paste problem for Skool community data extraction by streaming structured group records directly to your Apify dataset. Built for marketers, developers, data analysts, and researchers, this Skool group data extractor powers shortlist building, community benchmarking, and Skool group analytics scraper workflows at scale.

What data / output can you get?

Below are examples of the structured fields this scraper returns for each group. Results are pushed as each record finishes, so your dataset updates live. Export-ready in CSV/JSON.

Data type	Description	Example value
id	Unique group identifier	123456
name	Group slug used in URLs	“example-group”
displayName	Public-facing group name	“Example Group”
description	Short discovery description	“A community for examples and demos.”
monthlyPrice	Monthly membership price (if paid)	49
monthlyCurrency	ISO currency code (lowercase)	“usd”
annualPrice	Annual membership price (if available)	490
annualCurrency	ISO currency code (lowercase)	“usd”
totalMembers	Total members count	2,345
ownerName	Owner’s full name (public)	“Jane Doe”
supportEmail	Contact email if present or detected	“hello@example.com”

Bonus fields include privacy and membership model, landing page access type, branding (logo/cover), tabs visibility (audio chat, calendar, classroom, map), landingPageAttachments (images/videos metadata), and rich owner profile metadata (location, bio, links). Export via Apify in CSV/JSON.

Key features

• ⚡️ Live streaming saves — Each record is enriched and saved as soon as it’s ready, so your Skool group data export tool updates in real time.
• 🔐 No login required — Scrapes publicly available discovery and About-page data; no cookies or authentication needed.
• 🧭 Resilient connection ladder — Smart fallback from direct to datacenter to residential proxy automatically, or run through your Apify Proxy from the start.
• 📈 Batch scraping control — Use maxItems per discovery URL (1–500) to preview small batches or scale up large exports.
• 🧩 Rich /about enrichment — Pulls landing page description, tabs visibility, attachments (images/video), and owner profile metadata for deeper context.
• 👨‍💻 Developer-friendly — Built on the Apify platform (Python + Playwright). Trigger via API or integrate with your Skool group scraping automation and pipelines.
• 💾 Export-ready formats — Download structured results from your dataset as CSV or JSON.
• 🔁 Deduplication across sources — Avoids duplicate group IDs across multiple discovery URLs within the same run.
• 🛡️ Production-grade reliability — Playwright-based browser automation with retries, smart timeouts, and proxy ladder for high completion rates.

How to use 🎓 Skool Group Scraper - step by step

1. Sign in to your Apify account.
2. Open the “🎓 Skool Group Scraper” actor.
3. Add Discovery page URLs: paste one or more Skool discovery links into urls (one per line is fine). The UI offers a string list editor, and you can start with https://www.skool.com/discovery.
4. Set How many communities max?: adjust maxItems (default 100, between 1 and 500) to control how many communities are collected per discovery URL.
5. Configure Proxy (optional): leave proxyConfiguration off by default, or set {"useApifyProxy": true} to run through Apify Proxy from the start.
6. Start the run: the actor loads each discovery page, fetches groups, enriches data from each group’s /about page, and streams results into the Output dataset as they finish.
7. Monitor progress: watch logs for steps, retries, and “Saved #” messages; the dataset updates live.
8. Download results: open the Output tab and export your dataset to CSV or JSON for analysis or downstream workflows.

Pro Tip: Orchestrate the Skool group scraping automation via the Apify API, connect with Make/n8n, or call runs from your Python stack to keep community analytics and enrichment fresh.

Use cases

Use case name	Description
Market research + benchmarking	Analyze pricing, growth signals (members), and public positioning across top discovery pages to build competitor snapshots.
Lead generation shortlists	Identify relevant communities and capture owner/brand contacts (supportEmail when public) for outreach-ready CSVs.
Community analytics dashboards	Track totalMembers and tabs visibility to understand engagement features and potential collaboration fits.
Category mapping for ops	Structure discovery categories into exportable datasets (CSV/JSON) to speed up go-to-market planning.
Academic & social research	Collect public Skool group metadata for studies on online communities and participation patterns.
Data enrichment pipelines (API)	Trigger runs programmatically and feed structured Skool community data into internal systems or BI tools.

Why choose 🎓 Skool Group Scraper?

This tool focuses on precision, automation, and reliability for public Skool group discovery and About-page enrichment.

• ✅ Accurate, structured fields directly from discovery and /about pages
• 🌍 No-login public data only — safe by design for ethical use
• 📦 Scales from previews to large batches with maxItems controls
• 👨‍💻 Developer access via Apify API and Python-friendly workflows
• 🔁 Smarter connectivity with a built-in proxy ladder and retries
• 🔌 Easy exports in CSV/JSON for CRM, analytics, or research
• 🧱 More reliable than browser extensions or ad-hoc scripts (no Skool group scraper Chrome extension hassles)

Bottom line: a production-ready Skool group data extractor that delivers clean, exportable datasets without manual effort.

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

Yes, when used responsibly. This actor collects only publicly available data from Skool discovery and group About pages and does not access private or authenticated content.

Guidelines for compliant use:

• Scrape only public pages you are allowed to access and use.
• Respect platform terms and applicable laws (e.g., GDPR, CCPA).
• Avoid collecting personal or private data not intended for public display.
• Use data responsibly — for research, analytics, and compliant outreach.
• Consult your legal team for edge cases or specific compliance requirements.

Input parameters & output format

Example JSON input

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

Parameter reference:

• urls (array, required): Paste one or more Skool discovery links. No default (UI prefill includes https://www.skool.com/discovery).
• maxItems (integer, optional): Cap per discovery URL; minimum 1, maximum 500; default 100.
• proxyConfiguration (object, optional): Turn on only if you want to use Apify Proxy from the start. No default (UI prefill sets {"useApifyProxy": false}).

Example JSON output

Each saved item is a single group record. Fields below reflect the actual dataset structure pushed by the actor.

{
  "id": 123456,
  "name": "example-group",
  "displayName": "Example Group",
  "description": "A community for examples and demos.",
  "landingPageDescription": "Welcome to our community! Contact us at mailto:hello@example.com.",
  "supportEmail": "hello@example.com",
  "monthlyPrice": 49,
  "monthlyCurrency": "usd",
  "annualPrice": 490,
  "annualCurrency": "usd",
  "color": "#123456",
  "initials": "EG",
  "privacy": "public",
  "membership": "open",
  "plan": "pro",
  "landingPageAccessType": "open",
  "affiliatePercent": 0,
  "pluginAutoDmEnabled": 0,
  "pluginMinChatLevelEnabled": 0,
  "surveyEnabled": 0,
  "surveyQuestions": [],
  "surveyUpdatedAt": null,
  "logoUrl": "https://cdn.example.com/logo.png",
  "logoBigUrl": "https://cdn.example.com/logo-big.png",
  "coverSmallUrl": "https://cdn.example.com/cover-small.jpg",
  "faviconUrl": "https://cdn.example.com/favicon.ico",
  "customLinks": [],
  "totalMembers": 2345,
  "totalOnlineMembers": 123,
  "totalAdmins": 3,
  "totalPosts": 456,
  "totalRules": 5,
  "numCourses": 2,
  "numModules": 12,
  "audioChatVisible": true,
  "calendarVisible": true,
  "classroomVisible": true,
  "mapVisible": false,
  "landingPageAttachments": [
    {
      "id": "att_001",
      "type": "image",
      "imageFileId": "file_abc",
      "imageOriginalUrl": "https://cdn.example.com/hero.jpg",
      "imageSmallUrl": "https://cdn.example.com/hero_small.jpg",
      "imageBigUrl": "https://cdn.example.com/hero_big.jpg",
      "videoId": null,
      "videoUrl": null,
      "videoThumbnailUrl": null
    }
  ],
  "ownerId": 98765,
  "ownerName": "Jane Doe",
  "ownerFirstName": "Jane",
  "ownerLastName": "Doe",
  "ownerBio": "Founder and community lead.",
  "ownerLocation": "Austin, TX",
  "ownerDiscTop": null,
  "ownerActivityStatus": null,
  "ownerMyersBriggs": null,
  "ownerOnline": false,
  "ownerLastOffline": "1713388800",
  "ownerPictureProfile": "https://cdn.example.com/owner_profile.jpg",
  "ownerPictureBubble": "https://cdn.example.com/owner_bubble.jpg",
  "ownerInstagram": "https://instagram.com/example",
  "ownerYoutube": "https://youtube.com/@example",
  "ownerFacebook": null,
  "ownerTwitter": "https://twitter.com/example",
  "ownerLinkedin": "https://linkedin.com/in/example",
  "ownerWebsite": "https://example.com",
  "ownerCreatedAt": "2023-01-01T00:00:00.000Z",
  "ownerUpdatedAt": "2024-01-01T00:00:00.000Z",
  "createdAt": "2024-03-01T12:00:00.000Z",
  "updatedAt": "2024-04-01T12:00:00.000Z",
  "createdBy": "system"
}

Notes:

• Many fields may be null if not present on the public page (e.g., pricing for free groups).
• Rows are pushed individually as they complete. Use the Output tab to browse and export CSV/JSON.

Related tools

Tool	Purpose
Skool group posts scraper	Capture public post metadata from group feeds (complementary to group discovery metadata).
Skool community members scraper	Retrieve public-facing member statistics or profiles where permitted.
Skool group analytics scraper	Aggregate and trend public metrics across groups for reporting.

FAQ

Do I need to log in to use this Skool group scraper?

No. The actor targets publicly available discovery and group About pages and does not require authentication or cookies.

Can I export the data to CSV or JSON?

Yes. All results are saved to your Apify dataset, where you can download CSV or JSON with one click or via the Apify API.

How many groups can I collect per run?

You control this with maxItems, capped per discovery URL. The allowed range is 1–500, with a default of 100.

Does this scrape members, posts, or comments?

It focuses on group-level metadata from discovery and About pages (e.g., pricing, totalMembers, owner details, tabs, media). It does not scrape individual member lists, posts, or comments.

Can it extract emails from Skool groups?

If a public owner email is present, the tool maps it to supportEmail. It can also detect an email in the landing page description when present.

Does it work with proxies?

Yes. By default, it starts with a direct connection and automatically tries alternative routes if needed. You can also enable Apify Proxy from the start via proxyConfiguration.

Can I run it from my code or pipeline?

Yes. Trigger the actor via the Apify API, schedule runs, and consume dataset outputs programmatically in your Python or automation workflows.

What discovery URLs should I use?

Use Skool discovery links such as https://www.skool.com/discovery. You can provide multiple links; the actor deduplicates groups by ID across them within a run.

Closing thoughts

The 🎓 Skool Group Scraper is built to collect clean, structured Skool group metadata at scale. With live streaming saves, resilient connectivity, and export-ready datasets, it helps marketers, analysts, researchers, and developers turn discovery pages into actionable insights. Run it on a schedule via the Apify API, export CSV/JSON for your CRM or BI, and integrate it into your Skool group scraping automation to start extracting smarter community intelligence today.