Skool Communities Scraper | Rankings, Pricing & Member Counts
Pricing
from $2.96 / 1,000 community rows
Skool Communities Scraper | Rankings, Pricing & Member Counts
The entire Skool Discovery directory as ranked data: member counts, prices, billing and revenue potential for the top 1,000 communities per category, plus a monitor mode that catches NEW communities the moment they appear. HTTP-only, pay per result, MCP-ready.
Pricing
from $2.96 / 1,000 community rows
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Developer
Mr Zack
Maintained by CommunityActor stats
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Bookmarked
2
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1
Monthly active users
5 hours ago
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The entire Skool Discovery directory as clean, ranked data. One run turns Skool's top-1,000 communities (global or per category) into structured rows: rank, member count, price, billing interval, revenue potential, description and direct link. Plus a monitor mode that catches brand-new communities the moment they enter Discovery — before anyone else notices them.
HTTP-only, no login, no cookies, no proxies.
Who is this for?
- Community builders — pick your niche with data: what do the top Skool communities in money / health / tech charge, how many members do they have, and where is the gap for you?
- Course creators & coaches — benchmark your pricing against every ranked competitor in your category in one table.
- Lead-gen agencies & B2B sellers — every ranked community is a business with a proven audience; sort by members × price to find the owners worth pitching.
- Trend scouts & investors — schedule monitor mode and get a feed of new communities entering the rankings: the earliest possible signal a niche is heating up.
What you get (per row)
| Field | Description |
|---|---|
rank | Position in Skool Discovery (per category or global) |
category | all (global) or category slug (money, tech, health…) |
name, slug, url | Community name + direct link to its about page |
members | Total member count |
isPaid, priceUsd, priceCurrency, billingInterval | Free vs paid, price, monthly / one-time |
monthlyRevenuePotentialUsd | members × monthly price — upper-bound niche size signal |
description | The community's own pitch |
groupId, logoUrl, coverUrl, createdAt, updatedAt | Identity + assets + age |
scrapedAt | Snapshot timestamp |
Pricing — pay only for rows you keep
Pay-per-event: $0.00296 per community row ($2.96 per 1,000) + $0.001 per run start. Communities filtered out by minMembers / paidOnly, monitor-mode duplicates and failed pages are never charged. The full global top-1,000 costs about $3; a daily new-communities monitor typically costs a few cents.
Example inputs
Niche pricing research: { "categories": ["money"], "maxPages": 10, "paidOnly": true }
New-community radar: { "categories": ["all"], "maxPages": 34, "onlyNew": true } on a daily schedule.
Schedule it (recommended)
Rankings and member counts move daily. Click Schedule in Apify Console (@daily works great), combine with onlyNew for a fresh-communities alert feed, and wire results to Slack/email/Sheets via Integrations. Export JSON/CSV/Excel anytime.
Use with AI agents & MCP
Works out of the box with the Apify MCP server — let your AI agent answer "what do top fitness communities on Skool charge?" or "which new communities entered the money category this week?". Stable schema, agent-friendly. API: https://api.apify.com/v2/acts/tactful_anvil~skool-communities-scraper/runs.
Related Actors
- Whop New Launches Monitor — the same first-mover radar for the Whop marketplace.
- Whop Affiliate Offers Scraper — find Whop products that pay you commissions.
- Gumroad Best Sellers Scraper — niche & pricing intel for digital products.
Legal & fair use
Reads only the public Skool Discovery directory — the same data any visitor sees without logging in. No member data, no private communities, polite request pacing. Member counts and prices belong to the respective communities; use for research and analysis.
Changelog
- 0.0.1 (1 Sep 2026) — Launch: Skool Discovery rankings per category (top 1,000), pricing, member counts,
onlyNewmonitor mode.
Found this useful? Bookmark & review
A quick ⭐ review or bookmark on this Actor helps other people find it and tells us which fields to add next. Have a question, a missing field or a source that changed? Open an issue in the Issues tab — we answer within 24 hours.