Block 1 - Trigger: Scheduled Run
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.3
Stop Drowning in Repetitive Udemy Student Questions If you teach on Udemy at any meaningful scale, you already know the problem: 80% of student messages are variations of the same handful of questi...
n8n-nodes-base.scheduletrigger, n8n-nodes-globals.globalconstants, n8n-nodes-base.httprequest, n8n-nodes-base.splitout, n8n-nodes-base.splitinbatches, n8n-nodes-base.googlesheets, n8n-nodes-base.if, n8n-nodes-base.code
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Hesham Mashhour.
Original n8n.io sourceIf you teach on Udemy at any meaningful scale, you already know the problem: 80% of student messages are variations of the same handful of questions, but every one of them needs a thoughtful reply to keep your response rate up and your reviews healthy. Meanwhile, the actually important messages — students asking about other courses you offer, career advice, coaching opportunities — get buried in the noise and answered late, if at all.
This workflow fixes that. It connects to Udemy's Instructor API, pulls every unreplied message thread, and routes each one to one of two destinations:
The result: you reply faster, students get help quicker, and you never miss a high-value conversation that could turn into another course enrollment.
Built for Udemy instructors with growing course catalogs who want to maintain personal, high-quality Q&A responsiveness without spending hours per week typing the same answers. Especially valuable if you run multiple courses, sell premium offerings (coaching, consulting, advanced courses), or care about your response-rate metric on Udemy's instructor dashboard.
Comprehensive setup instructions are baked into the workflow as sticky notes — column schema, global constants, and credential mapping all documented inline.
udemy ai-agent customer-support mistral claude gpt google-sheets gmail redis automation online-teaching creator-economy
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 29 workflow blocks. Download the JSON for the full node graph.
| Workflow | Auto-reply to Udemy student Q&A with Mistral AI and Google Sheets |
|---|---|
| Complexity | advanced |
| Nodes | 29 |
| Categories | Support Chatbot, AI Chatbot |
| Author | Hesham Mashhour |
| Published | 26 Apr 2026 |
Use the JSON export at /data/workflows/15311/15311.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Stop Drowning in Repetitive Udemy Student Questions If you teach on Udemy at any meaningful scale, you already know the problem: 80% of student messages are variations of the same handful of questi...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.