# Skool Community Scraper (`automation-lab/skool-scraper`) Actor Extract data from Skool communities: member counts, pricing, categories, descriptions, affiliate %, and external links. Supports keyword search, category filters, and direct URL mode. No API key needed. - **URL**: https://apify.com/automation-lab/skool-scraper.md - **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community) - **Categories:** Social media - **Stats:** 5 total users, 4 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Skool Community Scraper Scrape community data from [Skool](https://www.skool.com) at scale. Search by keyword, filter by category or language, and extract member counts, pricing, descriptions, external links, and more from any Skool group. ### What does Skool Scraper do? Skool Scraper extracts structured data from Skool communities. It supports two modes: - **Discovery mode** — search Skool's community directory by keyword, category, or language. Returns paginated results with full metadata for each community. - **Direct URL mode** — provide specific Skool community URLs and get detailed data including external links, affiliate percentages, and online user counts. The scraper uses lightweight HTTP requests (no browser needed), keeping costs low and runs fast. It handles Skool's AWS WAF protection automatically via residential proxies. ### Who is Skool Scraper for? - **Community researchers** analyzing the Skool ecosystem — find top communities by niche, compare pricing models, track growth trends - **Course creators and coaches** scouting competitors — see what communities charge, how many members they have, and what categories dominate - **Affiliate marketers** finding high-commission Skool communities to promote — filter by affiliate percentage and member count - **Growth strategists** benchmarking community pricing — compare free vs paid communities across categories - **Data analysts** building datasets of online learning communities for market research reports ### Why use Skool Scraper? - **No browser required** — pure HTTP with curl+cheerio, 256 MB memory, fast and cheap - **Automatic WAF handling** — retries with backoff when Skool's AWS WAF triggers, residential proxy support built in - **Rich metadata** — extracts 20+ fields per community including pricing, member counts, external links, and affiliate info - **Two flexible modes** — discover communities by search or scrape specific URLs directly - **Pay per result** — only pay for communities you actually extract ### What data can you extract from Skool? | Field | Type | Description | |-------|------|-------------| | `slug` | string | Community URL slug (e.g., "ai-automation") | | `displayName` | string | Community display name | | `url` | string | Full Skool community URL | | `description` | string | Community description text | | `totalMembers` | number | Total member count | | `onlineUsers` | number | Currently online users (enriched mode) | | `price` | number | Monthly/yearly price in dollars (0 = free) | | `priceCurrency` | string | Price currency code (e.g., "USD") | | `priceInterval` | string | Billing interval ("month" or "year") | | `isFree` | boolean | Whether the community is free to join | | `logoUrl` | string | Community logo image URL | | `coverImageUrl` | string | Community cover image URL | | `color` | string | Community brand color hex code | | `category` | string | Community category | | `affiliatePercent` | number | Affiliate commission percentage (enriched mode) | | `freeTrialEnabled` | boolean | Whether free trial is available (enriched mode) | | `externalLinks` | array | External links from the about page (enriched mode) | | `createdAt` | string | Community creation date | | `updatedAt` | string | Last update date | | `rank` | number | Discovery ranking position | | `scrapedAt` | string | Timestamp when data was extracted | ### How much does it cost to scrape Skool communities? Skool Scraper uses **pay-per-event** pricing — you only pay for what you extract. | | Free | Starter ($29/mo) | Scale ($199/mo) | Business ($999/mo) | |---|---|---|---|---| | **Per community** | $0.0023 | $0.002 | $0.00156 | $0.0012 | | **100 communities** | $0.24 | $0.21 | $0.17 | $0.13 | | **1,000 communities** | $2.32 | $2.01 | $1.57 | $1.21 | Plus a one-time **$0.01 start fee** per run. **Real-world cost examples:** | Input | Communities | Duration | Cost (Free tier) | |---|---|---|---| | "marketing" keyword | 5 | ~30s | ~$0.02 | | "fitness" keyword | 20 | ~60s | ~$0.06 | | Direct URL mode | 1 | ~10s | ~$0.01 | With the free Apify plan ($5 credits), you can extract approximately **2,000 communities** at no cost. ### How to scrape Skool communities 1. Go to the [Skool Scraper](https://apify.com/automation-lab/skool-scraper) page on Apify Store 2. Click **Try for free** to open the actor in Apify Console 3. Enter a search keyword (e.g., "marketing", "fitness", "AI") 4. Optionally select a category filter (Money & Business, Tech, Health, etc.) 5. Set the maximum number of communities to extract 6. Click **Start** and wait for results 7. Download your data as JSON, CSV, or Excel ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchQuery` | string | "marketing" | Keyword to search Skool communities | | `category` | string | "" | Filter by category (hobbies, music, money, spirituality, tech, health, sports, self-improvement, relationships) | | `language` | string | "" | Filter by language | | `maxCommunities` | integer | 100 | Maximum communities to extract (1-1,000) | | `enrichFromAboutPage` | boolean | false | Fetch each community's /about page for extra details (affiliate %, external links, online users) | | `communityUrls` | array | [] | Scrape specific Skool community URLs directly (overrides search) | ### Output example ```json { "slug": "skool-community", "displayName": "Skool Community", "url": "https://www.skool.com/skool-community", "description": "The official Skool community for creators, coaches, and entrepreneurs.", "totalMembers": 125000, "onlineUsers": null, "price": 0, "priceCurrency": "USD", "priceInterval": "month", "isFree": true, "logoUrl": "https://img.skool.com/...", "coverImageUrl": "https://img.skool.com/...", "color": "#4F46E5", "category": null, "affiliatePercent": null, "freeTrialEnabled": null, "externalLinks": null, "createdAt": "2022-01-15T00:00:00.000Z", "updatedAt": "2024-12-01T00:00:00.000Z", "rank": 1, "scrapedAt": "2026-03-30T12:00:00.000Z" } ```` ### Tips for best results - **Start small** — use `maxCommunities: 20` for your first run to verify output quality before scaling up - **Use category filters** — narrowing by category returns more relevant results and reduces run time - **Enable enrichment selectively** — the "Enrich from About Page" option doubles HTTP requests per community, so only enable it when you need affiliate percentages, external links, or online user counts - **Combine search + category** — use both a keyword and category filter for highly targeted results (e.g., "coaching" + "money") - **Direct URL mode** — if you already know which communities you want, use `communityUrls` to skip discovery and get data faster ### Integrations Connect Skool Scraper to your existing tools and workflows: - **Google Sheets** — export community data directly to a spreadsheet for team analysis and tracking - **Slack notifications** — get alerts when new communities appear in your niche above a member threshold - **Airtable** — build a searchable database of Skool communities with filtering and sorting - **Zapier / Make** — trigger workflows when new communities match your criteria (e.g., auto-add to a CRM) - **Webhooks** — receive real-time data delivery to your own API endpoint after each run ### Use Skool Scraper with the Apify API #### Node.js ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client.actor('automation-lab/skool-scraper').call({ searchQuery: 'marketing', maxCommunities: 50, category: 'money', }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(`Found ${items.length} communities`); items.forEach(item => { console.log(`${item.displayName} — ${item.totalMembers} members, $${item.price}/mo`); }); ``` #### Python ```python from apify_client import ApifyClient client = ApifyClient('YOUR_API_TOKEN') run = client.actor('automation-lab/skool-scraper').call(run_input={ 'searchQuery': 'fitness', 'maxCommunities': 100, 'enrichFromAboutPage': True, }) items = client.dataset(run['defaultDatasetId']).list_items().items for item in items: print(f"{item['displayName']} — {item['totalMembers']} members, ${item['price']}/mo") ``` #### cURL ```bash ## Start the actor curl -X POST "https://api.apify.com/v2/acts/automation-lab~skool-scraper/runs?token=YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{"searchQuery": "AI", "maxCommunities": 30}' ## Get results (replace DATASET_ID with the actual ID from the run) curl "https://api.apify.com/v2/datasets/DATASET_ID/items?token=YOUR_API_TOKEN&format=json" ``` ### Use with AI agents via MCP Skool Community Scraper is available as a tool for AI assistants that support the [Model Context Protocol (MCP)](https://docs.apify.com/platform/integrations/mcp). Add the Apify MCP server to your AI client — this gives you access to all Apify actors, including this one: #### Setup for Claude Code ```bash claude mcp add --transport http apify "https://mcp.apify.com" ``` #### Setup for Claude Desktop, Cursor, or VS Code Add this to your MCP config file: ```json { "mcpServers": { "apify": { "url": "https://mcp.apify.com" } } } ``` Your AI assistant will use OAuth to authenticate with your Apify account on first use. #### Example prompts Once connected, try asking your AI assistant: - "Use automation-lab/skool-scraper to find the top 20 Skool communities about AI and compare their pricing and member counts" - "Search Skool for free fitness communities with over 1,000 members" - "Get all Skool communities in the money category and export to a spreadsheet" Learn more in the [Apify MCP documentation](https://docs.apify.com/platform/integrations/mcp). ### Is it legal to scrape Skool? Skool Scraper only extracts publicly available information from Skool's community directory. It does not access private community content, user accounts, or member data behind login walls. Web scraping of public data is generally considered legal in the US and EU, as established by the *hiQ Labs v. LinkedIn* ruling and GDPR provisions for publicly accessible data. The scraper respects Skool's rate limits by including delays between requests. For more information, see Apify's guide on the [legality of web scraping](https://blog.apify.com/is-web-scraping-legal/). ### FAQ **Q: Why does the scraper return 0 results?** A: Skool uses AWS WAF (Web Application Firewall) which requires residential proxies. Make sure you're running the actor on Apify's cloud platform with proxy access. Local runs without proxies will be blocked. **Q: What's the difference between discovery mode and direct URL mode?** A: Discovery mode searches Skool's community directory by keyword/category and returns multiple results. Direct URL mode scrapes specific communities you already know about, giving you richer data including external links and affiliate info. **Q: How many communities can I scrape?** A: Skool's discovery API caps at 1,000 results per query. For larger datasets, run multiple searches with different keywords or category filters. **Q: Why are some fields null?** A: Fields like `onlineUsers`, `affiliatePercent`, `freeTrialEnabled`, and `externalLinks` are only available when you enable the "Enrich from About Page" option, which fetches each community's /about page for extra details. **Q: The actor is slow — how can I speed it up?** A: The scraper includes intentional delays (1-3 seconds between requests) to avoid triggering WAF rate limits. This is necessary for reliable scraping. For faster results, reduce `maxCommunities` or disable enrichment. ### Related scrapers **Other community & social media scrapers:** - [Reddit Scraper](https://apify.com/automation-lab/reddit-scraper) — scrape posts, comments, and community data from Reddit - [Telegram Scraper](https://apify.com/automation-lab/telegram-scraper) — extract messages and channel data from Telegram - [Instagram Scraper](https://apify.com/automation-lab/instagram-scraper) — scrape profiles, posts, and hashtags from Instagram - [Threads Scraper](https://apify.com/automation-lab/threads-scraper) — extract posts and profiles from Threads - [Substack Scraper](https://apify.com/automation-lab/substack-scraper) — scrape newsletters and subscriber data from Substack **Other business & lead scrapers:** - [Trustpilot Reviews Scraper](https://apify.com/automation-lab/trustpilot) — extract company reviews and ratings from Trustpilot - [Google Jobs Scraper](https://apify.com/automation-lab/google-jobs-scraper) — scrape job listings from Google Jobs - [Greenhouse Jobs Scraper](https://apify.com/automation-lab/greenhouse-jobs-scraper) — extract job postings from Greenhouse boards # Actor input Schema ## `searchQuery` (type: `string`): Enter a keyword to search Skool communities (e.g. 'marketing', 'fitness', 'AI'). ## `category` (type: `string`): Filter communities by category. Leave empty to search all categories. ## `language` (type: `string`): Filter communities by language. Leave empty for all languages. ## `maxCommunities` (type: `integer`): Limit the number of communities to extract. Skool caps discovery at 1,000 per query. ## `enrichFromAboutPage` (type: `boolean`): Fetch each community's /about page for extra details (affiliate %, external links, online users). Slower but more data. ## `communityUrls` (type: `array`): Scrape specific Skool communities by URL (e.g. https://www.skool.com/ai-automation). Overrides search query. ## Actor input object example ```json { "searchQuery": "marketing", "category": "", "language": "", "maxCommunities": 10, "enrichFromAboutPage": false, "communityUrls": [] } ``` # Actor output Schema ## `overview` (type: `string`): No description ## `detailed` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQuery": "marketing", "maxCommunities": 10, "enrichFromAboutPage": false }; // Run the Actor and wait for it to finish const run = await client.actor("automation-lab/skool-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQuery": "marketing", "maxCommunities": 10, "enrichFromAboutPage": False, } # Run the Actor and wait for it to finish run = client.actor("automation-lab/skool-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQuery": "marketing", "maxCommunities": 10, "enrichFromAboutPage": false }' | apify call automation-lab/skool-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-lab/skool-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Skool Community Scraper", "description": "Extract data from Skool communities: member counts, pricing, categories, descriptions, affiliate %, and external links. Supports keyword search, category filters, and direct URL mode. No API key needed.", "version": "0.1", "x-build-id": "9E9OBdUpUAFUt0gpG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~skool-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-skool-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automation-lab~skool-scraper/runs": { "post": { "operationId": "runs-sync-automation-lab-skool-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automation-lab~skool-scraper/run-sync": { "post": { "operationId": "run-sync-automation-lab-skool-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Enter a keyword to search Skool communities (e.g. 'marketing', 'fitness', 'AI')." }, "category": { "title": "Category", "enum": [ "", "hobbies", "music", "money", "spirituality", "tech", "health", "sports", "self-improvement", "relationships" ], "type": "string", "description": "Filter communities by category. Leave empty to search all categories.", "default": "" }, "language": { "title": "Language", "type": "string", "description": "Filter communities by language. Leave empty for all languages.", "default": "" }, "maxCommunities": { "title": "Max Communities", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Limit the number of communities to extract. Skool caps discovery at 1,000 per query.", "default": 100 }, "enrichFromAboutPage": { "title": "Enrich from About Page", "type": "boolean", "description": "Fetch each community's /about page for extra details (affiliate %, external links, online users). Slower but more data.", "default": false }, "communityUrls": { "title": "Community URLs", "type": "array", "description": "Scrape specific Skool communities by URL (e.g. https://www.skool.com/ai-automation). Overrides search query.", "default": [], "items": { "type": "string" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```