# Skool Classroom Scraper — Videos, Lessons, Transcripts (`scrapersdelight/skool-classroom-scraper`) Actor Download Skool classroom videos, lessons, transcripts & attachments from any community. Gets the full course tree, every lesson's video URL (native Mux + Loom/YouTube/Vimeo) and caption transcript. No login for public communities; add your own Skool cookie for member-only classrooms. - **URL**: https://apify.com/scrapersdelight/skool-classroom-scraper.md - **Developed by:** [Scrapers Delight](https://apify.com/scrapersdelight) (community) - **Categories:** AI, Videos, Automation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 lot scrapeds 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 Classroom Scraper — Videos, Lessons, Transcripts & Attachments **Download Skool classroom videos, lessons, transcripts & attachments from any community.** Give it a community and it returns the full course → module → lesson tree — titles, order, descriptions, attachments, the playable video URL for **every** lesson (Loom, YouTube, Vimeo embeds **and** Skool's native Mux uploads), and the caption transcript where one exists. Public/free communities need no login. For member-only classrooms, add your own Skool login cookie. It reads Skool's own server-rendered page data — fast, no browser farm. --- ### What it does Skool is a Next.js app: every classroom page server-renders the course tree into the page, and ships each selected lesson's native video. This actor walks the whole tree and, for every lesson, returns: - 🌳 **Full classroom tree** — courses → modules → lessons, in original order - 📝 **Description** — clean plain text from each lesson's rich-text body - 📎 **Attachments** — link resources (with the real URL) + uploaded files (name, type, file id) - 🎬 **Video URL** — Loom / YouTube / Vimeo embeds, **plus** Skool native (Mux) uploads resolved to a playable HLS stream — for **every** lesson, not just the first - 🗣️ **Transcript** — pulled from the native-video caption track when one exists (else `null` — never faked) - 🔒 **needs_auth** flag for lessons gated to members --- ### Output fields (one record per lesson) - 🏷️ `community`, `course_id`, `course_title`, `course_privacy` - 🧭 `module_path`, `lesson_id`, `lesson_title`, `lesson_order` - 📝 `description`, 📎 `attachments[]` - ▶️ `media_url`, `media_type` (`embed` | `mux`), ⏱️ `video_length_ms`, 🖼️ `video_thumbnail` - 🗣️ `transcript`, 🔒 `needs_auth`, ✨ `is_new` (monitor), 🕒 `scraped_at` Each `attachments[]` entry is either a **link** (`{type:"link", title, url}`) or an uploaded **file** (`{type:"file", title, file_name, content_type, file_id}`). Skool serves uploaded files behind auth, so files have no public download URL — open the lesson to download them (`file_url` is `null`, with a `download_note`). Link attachments carry the real, public `url`. --- ### Who it's for - 🗄️ **Community owners** backing up / archiving classroom content - 🤖 **AI / RAG builders** turning course material into clean structured text + transcripts - 📚 **Course operators** auditing structure, lessons, and attachments at scale - 🔁 **Migration teams** moving a classroom's outline + media to another platform --- ### How to use it 1. Click **Try for free**. 2. Enter one or more **communities** (e.g. `ai-automation-society`) or full `skool.com/` URLs. 3. *(Member-only classrooms)* paste **your own Skool login cookie** into `skoolCookie` — public communities need nothing. 4. Click **Start**, then open the **Dataset** tab to view/export. 5. *(Optional)* set **monitorMode** + a **Schedule** to capture new lessons as a classroom grows. #### Quick start ```json { "communities": ["ai-automation-society"], "maxItems": 25, "resolveMedia": true } ```` *** ### Input | Field | What it does | |-------|--------------| | `communities` | Skool community slugs or `skool.com/` URLs | | `skoolCookie` | *(optional)* **your own** Skool session cookie for member-only classrooms — never stored or logged | | `maxItems` | cap on lessons returned (0 = all) | | `resolveMedia` | resolve native-Mux video URL + captions for every lesson | | `maxMediaResolves` | cap on native-video resolves per run (0 = no cap) | | `includeLocked` | also list member-only courses you can't access (flagged) | | `monitorMode`, `alertOnNewLesson` | recurring new-lesson watcher + alerts | | `webhookUrl`, `slackWebhookUrl`, `emailRecipients` | alert channels | | `proxyConfiguration`, `requestConcurrency` | proxy + parallelism | *** ### Output Each lesson is one dataset record (fields above). Export to **JSON, CSV, Excel, HTML, or RSS**, or fetch via the **Apify API**. *** ### Pricing Pay-per-event — you pay for results, not for time: | Event | What it covers | Suggested price | |-------|----------------|-----------------| | `lot-scraped` | each lesson returned | ~$0.005 / lesson | | `lot-detail-enriched` | each native-video URL + captions resolved | ~$0.004 / media | | `monitor-run-completed` | each scheduled watch run | ~$0.05 / run | | `new-lot-detected` | each new lesson found | ~$0.02 / lesson | | `alert-delivered` | each Slack/email/webhook push | ~$0.005 / alert | *(Final per-event prices are set on the actor's pricing page.)* *** ### How it compares | | **This actor** | Typical Skool scraper | Leading Skool suite | Budget clone | |---|---|---|---|---| | Full course → module → lesson tree | ✅ | partial | ✅ | ❌ | | Lesson descriptions + attachments | ✅ | ❌ | partial | ❌ | | Native (Mux) video URL for **every** lesson | ✅ | ❌ | first lesson only | ❌ | | Embed video URLs (Loom/YouTube/Vimeo) | ✅ | ✅ | ✅ | partial | | Transcript from native captions | ✅ where present | ❌ | ❌ | ❌ | | Bring-your-own-login for member content | ✅ | sometimes | ✅ | ❌ | | New-lesson monitor + alerts | ✅ | ❌ | partial | ❌ | | Pay-per-event (pay per lesson) | ✅ | monthly rental | monthly rental | per-result | *** ### How it gets every lesson's video Skool only server-renders **one** lesson's video at a time (the selected one). This actor re-requests each lesson by id (`?md=`) so it can resolve the native Mux playback URL and caption track for **every** lesson — not just the first. Embeds (Loom/YouTube/Vimeo) come straight from the tree with no extra fetch. No headless browser, no speech-to-text compute, no faked data. *** ### FAQ **Do I need a Skool login?** No, for public/free communities. For member-only or drip classrooms, paste your own Skool session cookie into `skoolCookie`. **Where do I get my cookie?** From your logged-in browser's `auth_token` cookie on `skool.com`. Paste the bare value or the full cookie string. It's used only for the request and never saved or logged. **Does it download the video files?** It returns the **video URL** (Loom/YouTube/Vimeo embed or a playable Mux HLS stream) plus metadata — not a re-hosted copy. **Will every lesson have a transcript?** Only native (Mux) videos with a caption track. Skool doesn't store transcripts, so when no caption track exists `transcript` is `null` (never faked). Loom/YouTube embeds keep their transcript on the host. **Can it watch for new lessons?** Yes — enable `monitorMode` and add a Schedule; it outputs/alerts only newly added lessons. **How do I export?** JSON, CSV, Excel, HTML, or RSS from the Dataset tab, or via the Apify API. *** ### Feedback Want per-lesson Loom/YouTube transcript enrichment, file downloads, or another output field? Open an issue on the actor. # Actor input Schema ## `communities` (type: `array`): Skool communities whose classroom you want to extract — community slugs (e.g. ai-automation-society) or full https://www.skool.com/ / .../classroom URLs. Public/free classrooms work with no login. ## `skoolCookie` (type: `string`): OPTIONAL. To extract member-only / drip classrooms, paste YOUR OWN Skool session cookie — either the bare auth\_token value or the full cookie string from your logged-in browser. It is sent only as the request Cookie header, never stored or logged. Leave blank for public communities. ## `maxItems` (type: `integer`): Hard cap on the number of lesson records returned across all courses (0 = all). Keeps demo/test runs light. ## `resolveMedia` (type: `boolean`): For Skool's native (Mux) uploads, resolve the playable HLS video URL and pull the caption transcript if one exists (one fetch per native lesson, capped by Max media resolves). Loom/YouTube/Vimeo embed URLs are always returned from the page with no extra fetch. ## `maxMediaResolves` (type: `integer`): Safety cap on how many native (Mux) lesson videos to resolve per run (each is one extra fetch). Keeps large runs fast and predictable. 0 = no cap. ## `includeLocked` (type: `boolean`): Also emit a row for member-only courses you can't access (with needs\_auth=true and no content) so you can see the full classroom outline. ## `monitorMode` (type: `boolean`): Recurring watcher: diff against the prior run's seen lessons (per community set) and output/alert ONLY new lessons. Pair with an Apify Schedule. ## `alertOnNewLesson` (type: `boolean`): In monitor mode, deliver an alert for each new lesson via the channels below. ## `webhookUrl` (type: `string`): POST endpoint for new-lesson alert payloads. ## `slackWebhookUrl` (type: `string`): Slack incoming-webhook URL for formatted cards. ## `emailRecipients` (type: `array`): Emails for the new-lesson digest (via apify/send-mail). ## `proxyConfiguration` (type: `object`): Proxy settings. Datacenter rotation is plenty — Skool has no bot wall on the data path. ## `requestConcurrency` (type: `integer`): Max parallel lesson/media fetches. ## `diagnose` (type: `boolean`): Dev only. Logs the resolved community + first accessible course's lesson count + first lesson, then exits. ## Actor input object example ```json { "communities": [ "ai-automation-society" ], "maxItems": 25, "resolveMedia": true, "maxMediaResolves": 60, "includeLocked": false, "monitorMode": false, "alertOnNewLesson": true, "proxyConfiguration": { "useApifyProxy": true }, "requestConcurrency": 8, "diagnose": false } ``` # Actor output Schema ## `lessons` (type: `string`): The dataset of extracted lessons (one item per lesson). # 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 = { "communities": [ "ai-automation-society" ], "maxItems": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("scrapersdelight/skool-classroom-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 = { "communities": ["ai-automation-society"], "maxItems": 25, } # Run the Actor and wait for it to finish run = client.actor("scrapersdelight/skool-classroom-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 '{ "communities": [ "ai-automation-society" ], "maxItems": 25 }' | apify call scrapersdelight/skool-classroom-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapersdelight/skool-classroom-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Skool Classroom Scraper — Videos, Lessons, Transcripts", "description": "Download Skool classroom videos, lessons, transcripts & attachments from any community. Gets the full course tree, every lesson's video URL (native Mux + Loom/YouTube/Vimeo) and caption transcript. No login for public communities; add your own Skool cookie for member-only classrooms.", "version": "0.1", "x-build-id": "QdWtofSar2jWJ9odL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapersdelight~skool-classroom-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapersdelight-skool-classroom-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapersdelight~skool-classroom-scraper/runs": { "post": { "operationId": "runs-sync-scrapersdelight-skool-classroom-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapersdelight~skool-classroom-scraper/run-sync": { "post": { "operationId": "run-sync-scrapersdelight-skool-classroom-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "communities": { "title": "Skool communities", "type": "array", "description": "Skool communities whose classroom you want to extract — community slugs (e.g. ai-automation-society) or full https://www.skool.com/ / .../classroom URLs. Public/free classrooms work with no login.", "items": { "type": "string" } }, "skoolCookie": { "title": "Your Skool login cookie (member-only data)", "type": "string", "description": "OPTIONAL. To extract member-only / drip classrooms, paste YOUR OWN Skool session cookie — either the bare auth_token value or the full cookie string from your logged-in browser. It is sent only as the request Cookie header, never stored or logged. Leave blank for public communities." }, "maxItems": { "title": "Max lessons", "minimum": 0, "type": "integer", "description": "Hard cap on the number of lesson records returned across all courses (0 = all). Keeps demo/test runs light.", "default": 50 }, "resolveMedia": { "title": "Resolve native-video media + captions", "type": "boolean", "description": "For Skool's native (Mux) uploads, resolve the playable HLS video URL and pull the caption transcript if one exists (one fetch per native lesson, capped by Max media resolves). Loom/YouTube/Vimeo embed URLs are always returned from the page with no extra fetch.", "default": true }, "maxMediaResolves": { "title": "Max media resolves", "minimum": 0, "type": "integer", "description": "Safety cap on how many native (Mux) lesson videos to resolve per run (each is one extra fetch). Keeps large runs fast and predictable. 0 = no cap.", "default": 60 }, "includeLocked": { "title": "Include locked courses", "type": "boolean", "description": "Also emit a row for member-only courses you can't access (with needs_auth=true and no content) so you can see the full classroom outline.", "default": false }, "monitorMode": { "title": "Monitor mode (new-lesson watcher)", "type": "boolean", "description": "Recurring watcher: diff against the prior run's seen lessons (per community set) and output/alert ONLY new lessons. Pair with an Apify Schedule.", "default": false }, "alertOnNewLesson": { "title": "Alert on new lessons", "type": "boolean", "description": "In monitor mode, deliver an alert for each new lesson via the channels below.", "default": true }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "POST endpoint for new-lesson alert payloads." }, "slackWebhookUrl": { "title": "Slack webhook URL", "type": "string", "description": "Slack incoming-webhook URL for formatted cards." }, "emailRecipients": { "title": "Email recipients", "type": "array", "description": "Emails for the new-lesson digest (via apify/send-mail).", "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy settings. Datacenter rotation is plenty — Skool has no bot wall on the data path.", "default": { "useApifyProxy": true } }, "requestConcurrency": { "title": "Request concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Max parallel lesson/media fetches.", "default": 8 }, "diagnose": { "title": "Diagnostic mode (dev)", "type": "boolean", "description": "Dev only. Logs the resolved community + first accessible course's lesson count + first lesson, then exits.", "default": false } } }, "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 } } } } } } } } } } ```