Skool Community Posts and Classroom Courses Scraper
Pricing
$8.00 / 1,000 results
Skool Community Posts and Classroom Courses Scraper
Dive deep into Skool.com's community discussions with our comprehensive scraper. Unearth valuable insights from posts and nested comments, empowering your content strategy and community engagement analysis. From user interactions to trending topics, capture it all with unparalleled precision.
2.0 (1)
Pricing
$8.00 / 1,000 results
15
Total users
240
Monthly users
60
Runs succeeded
>99%
Issues response
3.8 hours
Last modified
12 days ago
You can access the Skool Community Posts and Classroom Courses Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
$# Start Server-Sent Events (SSE) session and keep it running<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=memo23/skool-posts-with-comments-scraper"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Skool Community Posts and Classroom Courses Scraper via Model Context Protocol (MCP) server
MCP server lets you use Skool Community Posts and Classroom Courses Scraper within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Skool Community Posts and Classroom Courses Scraper Actor with the provided input.
$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{$ "jsonrpc": "2.0",$ "id": 1,$ "method": "tools/call",$ "params": {$ "arguments": {$ "startUrls": [$ {$ "url": "https://www.skool.com/ai-automation-mastery"$ }$ ],$ "cookies": [],$ "proxy": {$ "useApifyProxy": true$ }$},$ "name": "memo23/skool-posts-with-comments-scraper"$ }$}'The response should be: Accepted. You should received response via SSE (JSON) as:
$event: message$data: {$ "result": {$ "content": [$ {$ "type": "text",$ "text": "ACTOR_RESPONSE"$ }$ ]$ }$}Configure local MCP Server via standard input/output for Skool Community Posts and Classroom Courses Scraper
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
{ "mcpServers": { "actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "memo23/skool-posts-with-comments-scraper" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
