Skool Community Scraper (keyword discovery, members, pricing)

Turn the public Skool directory into data: search by keyword or category and get every matching community as one flat row — member count, membership model, price, description, logo, cover and creation date. No Skool account, no login. Community-level facts only: no member lists, no posts.

What you get

groupId, slug, url, name, description, members, membershipModel, priceText, logoUrl, coverUrl, color, createdAt, updatedAt, query, page, rank, scrapedAt.

Example output

Real rows from the example dataset (query fitness, long text truncated here):

Field	Example value
url	https://www.skool.com/get-fit-together-6632
name	GET FIT TOGETHER
members	12780
priceText	{"currency":"usd","amount":100,"recurring_interval":"month"}
membershipModel	2
description	2026 Rester Resolution 🔥 - It's time to take actions for achieving weight loss…
createdAt	2026-02-13T15:35:53.680253Z
query / page / rank	fitness / 1 / 1

priceText and membershipModel are Skool's own published values, passed through unchanged — priceText is the displayPrice payload (currency, amount in minor units, billing interval) and membershipModel is Skool's numeric model code.

Use cases

• Size a niche before building in it: how many Skool communities exist for a keyword, how big they are, what they charge.
• Track competitors: monitor mode returns only communities that are new or whose member count moved.
• Partnership and sponsorship prospecting at community level, using the description and price the community itself published.

Related actors

• Facebook Groups Search Scraper (members, privacy, no login) — the same size-and-keyword niche discovery, on free Facebook groups instead of paid Skool communities.
• Linktree Scraper (profile links, bio, discovery by keyword) — find the creator's link-in-bio page behind a Skool community.
• Telegram Channel Search Scraper (topic, subscribers, no login) — a free Telegram community alternative for the same niche.

How it works

1. Your keyword, category and membership filter are turned into a Skool discovery URL.
2. Each directory page (30 communities) is read and flattened into rows, keeping Skool's own ranking as rank.
3. Skool challenges automated visitors, so requests go through Apify Web Unblocker; a real challenge is reported as a block instead of an empty dataset.

Input

Field	Meaning	Default
queries	Keywords for Skool discovery, e.g. fitness; empty = browse the directory	["fitness"]
category	Skool category slug, e.g. health-fitness, money, tech	empty
membership	all, free or paid	all
maxPages	Directory pages to read, 30 communities each	3
maxItems	Stop after this many community rows	20
mode	scrape or monitor (only new/changed since last run)	scrape
monitorStateId, webhookUrl, telegramBotToken, telegramChatId	Monitor-mode state key and alert targets	empty

Pricing

Event	Price
result	$0.0015 per community ($1.50 per 1,000)
monitor-check	$0.005 per monitor run
change	$0.0015 per new/changed community

Charged only for communities actually pushed. Skool challenges automated visitors, so the actor runs through Apify Web Unblocker; Apify bills that traffic on top (about 0.3 MB per page of 30).

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Why this actor

• No Skool account and no cookies — nothing of yours is logged in.
• Deliberately community-level: no member lists, no posts, no personal data to worry about.
• Monitor mode with webhook and Telegram alerts on new communities and member-count changes.
• A run that finds nothing pushes nothing and charges no result events; a Skool challenge is reported as a block, not as an empty result.

Limits

• Community-level data only: no members, posts, courses or owner contacts.
• Skool returns at most 1,000 communities per search.
• priceText and membershipModel are Skool's raw published values and are not normalised into a currency/amount pair.

FAQ

Does it need a Skool login or a paid membership? No. Only the public discovery directory is read, as a logged-out visitor.

Can I get the members or the posts of a community? No, by design. This actor returns community-level public facts only — no member lists, no posts, no personal data.

What happens when there are no results? No rows are pushed and no result events are charged. The RUN_SUMMARY record in the run's key-value store carries emptyReason, which separates "the keyword really has no communities" from "Skool answered with a challenge".

Changelog

• 0.1: initial release.