# Skool.com Scraper - Communities, Members & Pricing (`logiover/skool-scraper`) Actor Scrape Skool.com communities without login. Export community data to CSV/JSON; a Skool unofficial API alternative for lead-gen and pricing research. - **URL**: https://apify.com/logiover/skool-scraper.md - **Developed by:** [Logiover](https://apify.com/logiover) (community) - **Categories:** Social media, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 Scraper Scrape Skool.com communities from the discovery feed — name, member count, monthly price, category and description. This Skool scraper (also a Skool.com communities scraper and community lead-gen tool) reads Skool's own public discovery data, so you get every public group with no login and no API key, and export it to CSV, JSON or Excel. It is two tools in one: a **community dataset** for market research, niche sizing and pricing analysis, and a **lead engine** — every row is a paid-community owner, so one run becomes a targeted list of course creators and community founders to reach out to. ### What you get One clean row per Skool community, with these fields: - **Community** — `id`, `name`, `slug`, `url`, `description`, `color`, `imageUrl` (logo), `coverImageUrl` - **Size & pricing** — `memberCount`, `price` (monthly), `priceCurrency`, `priceInterval`, `isFree` - **Discovery** — `category`, `isPrivate`, `rank` (discovery rank), `createdAt`, `updatedAt` - `scrapedAt` — ISO timestamp of extraction Export every row as **CSV, JSON or Excel** (also HTML / API) — into your CRM, spreadsheet, BI tool or warehouse. ### Use cases - **Creator & community-owner lead gen** — build outreach lists of paid-community owners by niche, size or price band. - **Market & pricing research** — compare member counts and monthly prices across categories to size a niche. - **Trend & growth tracking** — schedule daily runs and watch which communities grow fastest. - **Competitor monitoring** — track rivals' member counts, pricing changes and positioning. - **Directories & dashboards** — power a "best Skool communities" directory or internal dashboard. ### How to use 1. Open the actor. To scrape the main discovery feed, just set `maxResults` and run. 2. To narrow it down, set a `category` and/or `query`, or apply filters on the [Skool discovery page](https://www.skool.com/discovery) and paste the resulting URL into `searchUrls`. 3. Click **Start**. When the run finishes, open the **Output / Dataset** tab and export to CSV, JSON or Excel. Whole discovery feed: ```json { "maxResults": 200 } ```` Specific category + search query (no URL needed): ```json { "category": "Money", "query": "trading", "maxResults": 500 } ``` Discovery URLs copied from the site: ```json { "searchUrls": [ "https://www.skool.com/discovery", "https://www.skool.com/discovery?c=b1dae7402dda47a0b7aa51334474a158&q=ai" ], "maxResults": 1000 } ``` #### Input fields | Field | What it does | |---|---| | `searchUrls` | Skool discovery / category URLs copied from the site. Filters in the URL (`c` category, `q` query, `price`, `sortBy`) are respected. Leave empty for the main feed. | | `category` | Friendly category name — Tech, Money, Health, Hobbies, Music, Spirituality, Sports, Self-improvement, Relationships — or a raw Skool category id. | | `query` | Keyword to search the discovery feed (e.g. `ai`, `fitness`, `ecom`). | | `maxResults` | Global cap across all tasks. `0` = no limit. | | `useProxy` / `proxyConfiguration` | Apify Proxy — residential recommended (default). | | `maxConcurrency` | How many URLs / filters to run in parallel. | #### Example output ```json { "id": "b51c57150c70495899bf4bc8aaee8166", "name": "AI Automation Society", "slug": "ai-automation-society", "url": "https://www.skool.com/ai-automation-society", "description": "Learn to get paid for AI solutions, regardless of your background.", "memberCount": 391650, "price": 25.00, "priceCurrency": "USD", "priceInterval": "month", "isFree": false, "category": "💻 Tech", "isPrivate": false, "rank": 3, "color": "#0693E3", "imageUrl": "https://assets.skool.com/f/.../logo.jpg", "coverImageUrl": "https://assets.skool.com/f/.../cover-md.jpg", "createdAt": "2023-03-18T16:11:17.647779Z", "updatedAt": "2026-06-05T15:41:31.118133Z", "scrapedAt": "2026-06-05T15:31:24.950Z" } ``` ### FAQ #### Do I need a Skool account or API key? No. The actor reads Skool's public discovery data — no login, no token, no API key. #### How do I filter by category or keyword? Use the `category` and `query` inputs, or apply filters on the Skool discovery page and paste the resulting URL into `searchUrls`. Both approaches work. #### Is the price the monthly price? Yes. `price` is the recurring amount in the community's currency, with `priceInterval` (usually `month`) and an `isFree` flag. Free communities return `price: null` and `isFree: true`. #### How many communities can I get? Set `maxResults` as high as you like (or `0` for no cap). The actor paginates the discovery feed and every category until it runs out of results. #### Is this a Skool unofficial API or API alternative? Yes — it works as a Skool unofficial API alternative. Skool has no public API, so this actor reads the public discovery data and hands you structured rows you can pull on a schedule. #### How do I export Skool community data to CSV or JSON? Run the scraper, then open the Output / Dataset tab and download as CSV, JSON or Excel. Every Skool.com community comes back as one clean row for your spreadsheet, CRM or BI tool. #### Can I scrape Skool without login? Yes. The actor scrapes Skool's public discovery feed with no login and no API key, so there's no account, token or password involved. ### Changelog #### 2026-06-07 - Docs: added coverage for Skool unofficial API alternative, exporting community data to CSV/JSON, and scraping Skool without login. # Actor input Schema ## `searchUrls` (type: `array`): Skool discovery / category URLs copied straight from the site — e.g. https://www.skool.com/discovery or a filtered URL like https://www.skool.com/discovery?c=b1dae7402dda47a0b7aa51334474a158\&q=ai. Set your filters on the site, then paste the URL here. Leave empty to scrape the main discovery feed (or use the Category / Search fields below). ## `category` (type: `string`): Optional category to scrape instead of (or in addition to) URLs. Accepts a friendly name (Tech, Money, Health, Hobbies, Music, Spirituality, Sports, Self-improvement, Relationships) or a raw Skool category id. ## `query` (type: `string`): Optional keyword to search the Skool discovery feed (e.g. "ai", "trading", "fitness"). Combine with Category to narrow further. ## `maxResults` (type: `integer`): Stop after this many communities across all tasks. 0 = no limit. ## `useProxy` (type: `boolean`): Route requests through Apify Proxy. Residential is recommended and is the default. ## `proxyConfiguration` (type: `object`): Apify Proxy settings. Residential gives the highest success rate against Skool. ## `maxConcurrency` (type: `integer`): How many discovery URLs / filters to process in parallel. ## Actor input object example ```json { "searchUrls": [ "https://www.skool.com/discovery" ], "category": "Tech", "query": "ai", "maxResults": 200, "useProxy": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "maxConcurrency": 3 } ``` # Actor output Schema ## `id` (type: `string`): Community ID ## `name` (type: `string`): Name ## `slug` (type: `string`): Slug ## `url` (type: `string`): Community URL ## `description` (type: `string`): Description ## `memberCount` (type: `string`): Members ## `price` (type: `string`): Monthly price ## `priceCurrency` (type: `string`): Currency ## `priceInterval` (type: `string`): Billing interval ## `isFree` (type: `string`): Is free ## `category` (type: `string`): Category ## `isPrivate` (type: `string`): Is private ## `rank` (type: `string`): Discovery rank ## `color` (type: `string`): Brand color ## `imageUrl` (type: `string`): Logo URL ## `coverImageUrl` (type: `string`): Cover image URL ## `createdAt` (type: `string`): Created at ## `updatedAt` (type: `string`): Updated at ## `scrapedAt` (type: `string`): Scraped at # 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 = { "searchUrls": [ "https://www.skool.com/discovery" ] }; // Run the Actor and wait for it to finish const run = await client.actor("logiover/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 = { "searchUrls": ["https://www.skool.com/discovery"] } # Run the Actor and wait for it to finish run = client.actor("logiover/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 '{ "searchUrls": [ "https://www.skool.com/discovery" ] }' | apify call logiover/skool-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=logiover/skool-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Skool.com Scraper - Communities, Members & Pricing", "description": "Scrape Skool.com communities without login. Export community data to CSV/JSON; a Skool unofficial API alternative for lead-gen and pricing research.", "version": "1.0", "x-build-id": "JEjLiqf9SKgxn2YrZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/logiover~skool-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-logiover-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/logiover~skool-scraper/runs": { "post": { "operationId": "runs-sync-logiover-skool-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/logiover~skool-scraper/run-sync": { "post": { "operationId": "run-sync-logiover-skool-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchUrls": { "title": "Skool discovery URLs", "type": "array", "description": "Skool discovery / category URLs copied straight from the site — e.g. https://www.skool.com/discovery or a filtered URL like https://www.skool.com/discovery?c=b1dae7402dda47a0b7aa51334474a158&q=ai. Set your filters on the site, then paste the URL here. Leave empty to scrape the main discovery feed (or use the Category / Search fields below).", "items": { "type": "string" } }, "category": { "title": "Category", "type": "string", "description": "Optional category to scrape instead of (or in addition to) URLs. Accepts a friendly name (Tech, Money, Health, Hobbies, Music, Spirituality, Sports, Self-improvement, Relationships) or a raw Skool category id." }, "query": { "title": "Search query", "type": "string", "description": "Optional keyword to search the Skool discovery feed (e.g. \"ai\", \"trading\", \"fitness\"). Combine with Category to narrow further." }, "maxResults": { "title": "Max results (total)", "minimum": 0, "type": "integer", "description": "Stop after this many communities across all tasks. 0 = no limit.", "default": 200 }, "useProxy": { "title": "Use Apify Proxy", "type": "boolean", "description": "Route requests through Apify Proxy. Residential is recommended and is the default.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy settings. Residential gives the highest success rate against Skool.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "maxConcurrency": { "title": "Max concurrent tasks", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many discovery URLs / filters to process in parallel.", "default": 3 } } }, "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 } } } } } } } } } } ```