# Skool.com Community Scraper (`klinzinger/skool-scraper`) Actor Logs into Skool.com and scrapes posts and members from a given community. - **URL**: https://apify.com/klinzinger/skool-scraper.md - **Developed by:** [KLINZINGER](https://apify.com/klinzinger) (community) - **Categories:** Social media, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 Community Scraper This actor logs into [Skool.com](https://www.skool.com) with your credentials, navigates to any community you have access to, and extracts structured data on posts and members. It's built for community researchers, growth marketers, and operators who need clean, machine-readable data out of Skool — useful for community research, lead generation, competitor analysis, and content monitoring pipelines. ### Features - 📝 **Full post text + metadata** — captures the complete body of each post, not just the preview - 👤 **Author names + profile links** — every post is tied to a resolvable Skool profile URL - ❤️ **Likes & comments counts** — engagement metrics for ranking, sorting, or trend analysis - 🕒 **ISO 8601 timestamps** — normalized datetimes ready for time-series analysis - 👥 **Member directory extraction** — names, roles (admin/moderator/member), and join dates - 🛡️ **Residential proxy support** — routes traffic through Apify Proxy to avoid IP blocks - 🎚️ **Configurable limits** — cap posts and members independently to control runtime and cost - 🔐 **Secret credential handling** — your Skool password is stored as an encrypted input and never logged ### Use Cases - **Community research & trend analysis** — surface the top-engaged topics in a niche over time - **Lead generation** — extract active members from a relevant community and enrich them downstream - **Competitor community monitoring** — track what competitors are publishing and how members respond - **Content repurposing pipeline input** — feed top posts into your AI summarizer, newsletter, or content engine ### Input | Field | Type | Required | Description | |---|---|---|---| | `community_url` | string | ✅ | Full URL to the Skool community to scrape (e.g. `https://www.skool.com/learn-ai`) | | `skool_email` | string | ✅ | Email address of the Skool account used to log in | | `skool_password` | string (secret) | ✅ | Password for the Skool account. Stored encrypted, never logged | | `max_posts` | integer | ❌ | Maximum number of posts to scrape. Defaults to `100`. Set `0` to disable post scraping | | `scrapeMembers` | boolean | ❌ | Whether to also scrape the community member directory. Defaults to `true` | | `maxMembers` | integer | ❌ | Maximum number of members to scrape. Defaults to `500` | | `proxyConfiguration` | object | ❌ | Apify proxy configuration. Residential proxies are strongly recommended and used by default | | `headless` | boolean | ❌ | Run browser in headless mode. Defaults to `true`. Set `false` for local debugging | ### Output The actor writes to the default dataset. Two record types are emitted into the **same dataset**, distinguished by the `type` field (`"post"` or `"member"`). Filter by `type` when consuming the data. #### Post record example ```json { "type": "post", "title": "How I landed my first AI client", "body": "Here is what I did step by step...", "author": "Liam Ottley", "authorProfileUrl": "https://www.skool.com/@liamottley?g=learn-ai", "postUrl": "https://www.skool.com/learn-ai/how-i-landed-my-first-ai-client", "timestamp": "2026-06-01T12:34:56Z", "likes": 42, "comments": 17 } ```` #### Member record example ```json { "type": "member", "name": "John Smith", "profileUrl": "https://www.skool.com/@john-smith-1234?g=learn-ai", "role": "member", "joinDate": "Jan 2024" } ``` ### Notes & Limitations - Requires a valid Skool account with access to the target community. Private/paid communities require an account that has already been approved or paid in. - Password is stored as a **secret input** and never logged or echoed to the run log. - **Residential proxies are strongly recommended** (and used by default) — datacenter IPs are frequently blocked by Skool and may cause the login flow to fail or trigger a captcha. - Skool's HTML structure may change without notice; if selectors break, please open an issue on the actor's GitHub repo and we'll patch it. - The rate of scraping is intentionally **conservative (max concurrency 1)** to avoid account flags. Expect roughly 1–3 posts per second under normal conditions. - Two-factor authentication (2FA) on the Skool account is not currently supported — use an account without 2FA or a dedicated scraper account. ### Legal & ToS Users are solely responsible for complying with [Skool's Terms of Service](https://www.skool.com/terms) and any applicable data-protection laws (GDPR, CCPA, etc.) in their jurisdiction. Only scrape communities you have **legitimate access to**, and only collect data you have a lawful basis to process. This actor is provided as a tool; how you use it is your responsibility. # Actor input Schema ## `community_url` (type: `string`): Full URL of the Skool community to scrape, e.g. https://www.skool.com/aaa-hub ## `skool_email` (type: `string`): Email used to log into your Skool account. ## `skool_password` (type: `string`): Password used to log into your Skool account. Stored as a secret. ## `max_posts` (type: `integer`): Maximum number of posts to scrape from the community feed. ## `scrapeMembers` (type: `boolean`): Whether to also scrape the community members page. ## `maxMembers` (type: `integer`): Maximum number of community members to scrape. ## `proxyConfiguration` (type: `object`): Apify proxy configuration. Residential proxies are recommended to avoid blocks. ## `headless` (type: `boolean`): Run the browser in headless mode. Disable for local debugging. ## Actor input object example ```json { "community_url": "https://www.skool.com/aaa-hub", "max_posts": 100, "scrapeMembers": true, "maxMembers": 500, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "headless": true } ``` # Actor output Schema ## `results` (type: `string`): Posts and members extracted from the Skool community. # 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 = { "community_url": "https://www.skool.com/aaa-hub", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("klinzinger/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 = { "community_url": "https://www.skool.com/aaa-hub", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("klinzinger/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 '{ "community_url": "https://www.skool.com/aaa-hub", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call klinzinger/skool-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=klinzinger/skool-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Skool.com Community Scraper", "description": "Logs into Skool.com and scrapes posts and members from a given community.", "version": "1.0", "x-build-id": "iY9HnwZ0lWhjUg63d" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/klinzinger~skool-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-klinzinger-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/klinzinger~skool-scraper/runs": { "post": { "operationId": "runs-sync-klinzinger-skool-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/klinzinger~skool-scraper/run-sync": { "post": { "operationId": "run-sync-klinzinger-skool-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "community_url", "skool_email", "skool_password" ], "properties": { "community_url": { "title": "Community URL", "pattern": "^https?://(www\\.)?skool\\.com/.+", "type": "string", "description": "Full URL of the Skool community to scrape, e.g. https://www.skool.com/aaa-hub" }, "skool_email": { "title": "Skool email", "type": "string", "description": "Email used to log into your Skool account." }, "skool_password": { "title": "Skool password", "type": "string", "description": "Password used to log into your Skool account. Stored as a secret." }, "max_posts": { "title": "Maximum posts", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of posts to scrape from the community feed.", "default": 100 }, "scrapeMembers": { "title": "Scrape members", "type": "boolean", "description": "Whether to also scrape the community members page.", "default": true }, "maxMembers": { "title": "Maximum members", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of community members to scrape.", "default": 500 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy configuration. Residential proxies are recommended to avoid blocks.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "headless": { "title": "Run headless", "type": "boolean", "description": "Run the browser in headless mode. Disable for local debugging.", "default": true } } }, "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 } } } } } } } } } } ```