Skool Community Scraper
Pricing
from $0.97 / 1,000 communities
Skool Community Scraper
Scrape Skool communities from discovery search and category filters. Extract listing data plus optional about-page details, owner, reviews, top members, classroom, and calendar.
Pricing
from $0.97 / 1,000 communities
Rating
0.0
(0)
Developer
Rigel Bytes
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
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Find and analyze Skool communities at scale. Search the Skool discovery feed by keyword, category, price, and visibility type, then enrich each community with owner profiles, membership counts, pricing plans, ratings, reviews, top members, classroom courses, and calendar events — from just $1 per 1,000 communities (details and reviews billed as optional extras).
What can Skool Community Scraper do for you?
- Build your own Skool community database — collect every public community across 9 categories (Tech, Money, Health, Fitness, Spirituality, and more) with names, URLs, descriptions, and logos.
- Uncover the fastest-growing communities — track
totalMembers, ratings, and review volumes over time to spot winners before everyone else. - Find owners and admins to partner with — every community record includes the owner's name, bio, location, and social profile links.
- Understand pricing models at a glance — monthly subscriptions, one-time pricing, free communities, and free trials in one structured field.
- Analyze what makes top communities tick — read the full landing-page pitch, classroom curriculum, calendar events, and member lists of the most successful communities.
- Monitor competitor niches automatically — schedule daily runs for your keywords and get a fresh dataset every morning.
What data can you extract from Skool?
| Data | Fields |
|---|---|
| 🏷️ Community identity | name, slug, url, aboutUrl, description, logoUrl, coverImageUrl |
| 👤 Owner profile | owner — username, first/last name, bio, location, profile picture, Facebook, Instagram, LinkedIn, Twitter, YouTube, website |
| 👥 Membership stats | totalMembers, members list (top ~30 + admins), adminsTotal, membersTotal |
| 💰 Pricing & plan | membershipModel, details.price (currency, amount, recurring interval), details.plan (pro/plus), affiliatePercent |
| ⭐ Ratings & reviews | reviewAverageRating, reviewCount, full reviews with rating, body, date, isPayingMember, and author |
| 📝 Landing page | details.landingPageDescription, details.landingPageMedia (videos + images) |
| 📊 Engagement | details.totalPosts, details.totalOnlineMembers, details.totalAdmins, details.totalRules, details.numCourses |
| 🎓 Classroom | classroom — public courses and module structure |
| 📅 Calendar | calendar — public community events |
| 🗂️ Discovery context | category, searchQuery, sourceQuery, isPublic, createdAt, updatedAt |
Why use this scraper?
- 🔍 Market research — map the entire Skool ecosystem (250,000+ communities, 9 categories) to size a niche before launching your own community.
- 📈 Competitor monitoring — watch member growth, pricing changes, and new classrooms in your niche with scheduled daily runs.
- 🤝 Lead generation — every owner record comes with name, location, and social links — perfect for outreach and partnerships.
- 🔁 Automation — plug the structured JSON into your CRM, sheets, or pipelines via the Apify API instead of copying data by hand.
- 🛡️ Reliability built-in — anti-bot challenges are handled automatically; one failed community never stops the run.
Pricing
- $1 per 1,000 communities (dataset items); Community Details and Community Reviews at $1 per 1,000 each
- Apify plan discounts apply — Bronze $0.99, Silver $0.98, Gold $0.97 per 1,000
- No hidden fees or limits on usage.
How to use Skool Community Scraper
- Create a free Apify account at apify.com (sign in with Google or GitHub).
- Open the Skool Community Scraper page and click Try for free.
- Paste your keywords in
searchQueries— or pickcategories, price, and visibility filters. Premium proxies are on by default. - Toggle the extras you need — Details, Reviews, Members, Classroom, Calendar.
- Click Start and watch the live console; results stream into the dataset.
- Download your data as JSON, HTML, CSV, or Excel — or call it via API.
Input
| Field | Type | Required | Description |
|---|---|---|---|
searchQueries | string[] | No | Keywords for Skool discovery (q parameter), e.g. ["ai video", "fitness"]. Leave empty to browse by category/filters only. |
categories | string[] | No | Discovery categories: hobbies, music, money, spirituality, tech, health, sports, self_improvement, relationships. Empty = all. |
communityUrls | string[] | No | Skool community URLs or slugs to scrape directly, e.g. https://www.skool.com/aivideobootcamp/about. |
price | string | No | free, paid, free-trial, or empty (any). Default: any. |
communityType | string | No | public, private, or empty (any). Default: any. |
sortBy | string | No | trending (default) or top-v2. |
language | string | No | Discovery language filter. Default: english. |
scrapeCommunityDetails | boolean | No | Visit each community's about page for owner, landing description, price, stats. Billed as community-details. Default: false. |
scrapeCommunityReviews | boolean | No | Extract all community reviews. Billed as community-reviews. Default: false. |
scrapeMembers | boolean | No | Extract the public top members list (~30) — only when the community hasn't hidden members. Default: false. |
scrapeClassroom | boolean | No | Extract public classroom courses/modules when the tab is visible. Default: false. |
scrapeCalendar | boolean | No | Extract public calendar events when the tab is visible. Default: false. |
maxItems | integer | No | Max communities to scrape. 0 = unlimited. Default: 0. |
proxyConfiguration | object | No | Proxy settings — Apify Residential proxies recommended (default: RESIDENTIAL). |
📝 Copy for Use:
{"searchQueries": ["ai video"],"categories": ["tech"],"price": "free","communityType": "public","sortBy": "trending","language": "english","scrapeCommunityDetails": true,"scrapeCommunityReviews": true,"scrapeMembers": true,"scrapeClassroom": true,"scrapeCalendar": true,"maxItems": 10,"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]}}
Why Choose This Scraper?
- Affordable: Pay only $1 per 1,000 community listings scraped (extras billed separately).
- Comprehensive: Full discovery pipeline plus 5 optional enrichment layers — details, reviews, members, classroom, and calendar.
- Easy to Use: No code required. Prefilled defaults, sensible filters, and one-click start in Apify Console.
- Reliable: Anti-bot handling with automatic browser bootstrapping, fail-soft extras that never drop a scraped community, and spending-limit awareness.
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Running via Apify Console
You can run this actor from the Apify Console by providing the necessary input parameters.
Running via API
You can trigger this actor using the Apify API, passing the required input in the request body.
Python
from apify_client import ApifyClientclient = ApifyClient("YOUR-APIFY-TOKEN")run = client.actor("rigelbytes/skool-scraper").call(run_input={"searchQueries": ["ai video"],"categories": ["tech"],"price": "free","communityType": "public","sortBy": "trending","language": "english","scrapeCommunityDetails": True,"scrapeCommunityReviews": True,"scrapeMembers": True,"scrapeClassroom": True,"scrapeCalendar": True,"maxItems": 10,"proxyConfiguration": {"useApifyProxy": True,"apifyProxyGroups": ["RESIDENTIAL"],},},)for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item["name"], item["totalMembers"], item.get("reviewAverageRating"))
JavaScript
import { ApifyClient } from "apify-client";const client = new ApifyClient({ token: "YOUR-APIFY-TOKEN" });const run = await client.actor("rigelbytes/skool-scraper").call({runInput: {searchQueries: ["ai video"],categories: ["tech"],price: "free",communityType: "public",sortBy: "trending",language: "english",scrapeCommunityDetails: true,scrapeCommunityReviews: true,scrapeMembers: true,scrapeClassroom: true,scrapeCalendar: true,maxItems: 10,proxyConfiguration: {useApifyProxy: true,apifyProxyGroups: ["RESIDENTIAL"],},},});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(items.map((item) => [item.name, item.totalMembers]));
cURL
curl "https://api.apify.com/v2/acts/rigelbytes~skool-scraper/run-sync-get-dataset-items?token=YOUR-APIFY-TOKEN" \-H "Content-Type: application/json" \-d '{"searchQueries": ["ai video"],"categories": ["tech"],"price": "free","communityType": "public","sortBy": "trending","language": "english","scrapeCommunityDetails": true,"scrapeCommunityReviews": true,"scrapeMembers": true,"scrapeClassroom": true,"scrapeCalendar": true,"maxItems": 10,"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]}}'
Scheduling & Deduplication
Scheduling — Skool community data changes constantly: member counts move daily, new communities launch, pricing changes. For niche monitoring, schedule daily runs from the Scheduler tab in Apify Console (or via the API with --schedule). If you track multiple niches, create one schedule per searchQueries term so each run's dataset stays clean and comparable. For one-off ecosystem research, a single run with maxItems: 0 (unlimited) covers everything.
Deduplication — Within a single run, communities are deduplicated by slug, so the same community is never pushed twice even if it matches multiple queries. Reviews and members are also deduplicated internally by ID. Across scheduled runs, each run writes to its own dataset by default. To keep one growing dataset, run the actor with a fixed datasetId and filter by community id or slug when you consume it:
# Python example — keep only new communities per runfrom apify_client import ApifyClientclient = ApifyClient("YOUR-APIFY-TOKEN")seen = set()for item in client.dataset("YOUR-DATASET-ID").iterate_items():seen.add(item["id"])# After the run, push only items whose "id" is not in `seen`.
Webhooks — Attach a webhook to the ACTOR.RUN.SUCCEEDED event to pipe fresh community data into your CRM, Slack, or database automatically when each scheduled run finishes.
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🛠️ Developer Tools
General-purpose scraping and automation tools.
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Understanding Proxies:
When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.
Why Use Proxies?
- Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
- Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
- Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.
Types of Proxies
- Residential Proxies
- Real IP addresses provided by ISPs to home users.
- They mimic regular users, making them harder to detect.
- Best for: Long-term, undetectable scraping, and avoiding blocks.
- Data Center Proxies
- IP addresses from servers in data centers.
- Faster and cheaper than residential proxies but easier to detect and block.
- Best for: High-speed scraping, but with a higher risk of detection.
- Mobile Proxies
- IPs provided by mobile carriers (3G/4G/5G networks).
- Very difficult to detect, as they appear as regular mobile users.
- Best for: Mobile-related scraping or avoiding sophisticated blocks.
Rotating Proxies vs. Straight Proxies
- Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
- Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.
FAQs & Troubleshooting
Q: What counts as one charged result?
Every community pushed to the dataset is one dataset-item event — $1 per 1,000 communities. Enabling scrapeCommunityDetails adds one community-details event per community, and scrapeCommunityReviews adds one community-reviews event per community. Reviews, members, classroom, and calendar themselves are never billed separately. Run stats (records and charges) are stored in the key-value store under run-stats.
Q: Why are some fields missing even with details enabled?
Some communities hide members (members: null), have no public reviews, or keep their classroom/calendar private. Extras are fail-soft — a community missing one extra is still returned with the data that is public. Listing-level fields (totalMembers, name, description) are always present when Skool exposes them.
Q: Why did my run stop before maxItems?
The run stops when it hits your Apify spending limit for pay-per-event charges. Actor.push_data reports event_charge_limit_reached and the actor stops gracefully — no partial records are lost. Increase your monthly spending limit in Apify Console, or lower maxItems, to control cost.
Q: What's the difference between trending and top-v2 sort?
trending (default) returns communities ordered by current growth/engagement momentum, while top-v2 returns all-time top communities. If you pass an invalid value the actor fails fast with sortBy must be trending or top-v2 — use the input schema's dropdown, which only offers valid options.
Q: Can I scrape specific communities without discovery search?
Yes. Pass communityUrls with Skool URLs or bare slugs (e.g. https://www.skool.com/aivideobootcamp/about or aivideobootcamp) and the actor scrapes exactly those communities — communityUrls are processed before discovery queries, deduplicated by slug.
Q: Why are my results empty or erroring with blocks?
Skool serves an anti-bot challenge page to datacenter traffic. The actor auto-detects challenge pages and bootstraps browser cookies automatically. If you still get empty results, switch proxyConfiguration to Apify Residential proxies (default) — residential IPs are the most reliable for Skool at scale.
About Rigel Bytes
Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.
Contact Us
Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or book an appointment with us to learn more about how we can help you achieve your data goals.
Detailed Data
A sample of the actual output — one community scraped with all extras enabled:
[{"id": "1a18982c15714b0c97031894dbdb3900","slug": "aivideobootcamp","name": "AI Video Bootcamp","url": "https://www.skool.com/aivideobootcamp","aboutUrl": "https://www.skool.com/aivideobootcamp/about","searchQuery": null,"sourceQuery": null,"category": "tech","description": "Master AI Video & AI Image Creation. Then use your skill to make AI Adverts, Social Media Content and Films to earn 💰","membershipModel": "subscription","totalMembers": 26722,"createdAt": "2025-10-06T19:45:35.441626Z","updatedAt": "2026-08-20T16:19:54.216025Z","reviewAverageRating": 4.9,"reviewCount": 167,"owner": {"id": "f831a7690f5e4628919d63945ee0f51e","username": "oracle","firstName": "Daniel","lastName": "Riley","bio": "AI Content Creator & Mentor","location": "United Kingdom","profileUrl": "https://www.skool.com/@oracle"},"details": {"id": "1a18982c15714b0c97031894dbdb3900","name": "AI Video Bootcamp","landingPageDescription": "⭐ Top 1% Community on Skool...","plan": "pro","price": {"currency": "usd","amount": 900,"recurring_interval": "month"},"affiliatePercent": 50,"privacy": 1,"totalAdmins": 8,"totalOnlineMembers": 593,"totalPosts": 24885,"totalRules": 5,"numCourses": 20},"reviews": [{"id": "4d5974c32f83463885aa07a3611bfa9f","rating": 5,"body": "Huge jump when I realise everybody is at different stages of our journey.","createdAt": "2026-08-20T15:10:05.149288Z","isPayingMember": true,"author": {"id": "409cff70fa79467988050be85bcda7cd","username": "marilyn-nichols-1431","firstName": "Maz","lastName": "Nichols"}}]},{"id": "b51c57150c70495899bf4bc8aaee8166","slug": "ai-automation-society","name": "AI Automation Society","url": "https://www.skool.com/ai-automation-society","aboutUrl": "https://www.skool.com/ai-automation-society/about","searchQuery": "ai","sourceQuery": "ai","category": "tech","description": "Learn to get paid for AI solutions, regardless of your background.","isPublic": true,"totalMembers": 440953,"createdAt": "2024-10-15T02:49:53.91923Z","owner": {"id": "fcb8f1ac74644b298f8268197d647ad4","username": "nateherk","firstName": "Nate","lastName": "Herk","bio": "Founder & CEO @ Uppit AI. Sharing my knowledge of AI Automations through YouTube.","location": "","profileUrl": "https://www.skool.com/@nateherk"}}]
You can download the dataset in various formats such as JSON, HTML, CSV, or Excel — read the Skool Community Scraper documentation for more details.
