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n8n Academic FAQ & Calendar Telegram Bot w/ MongoDB & AI

n8n Academic FAQ & Calendar Telegram Bot w/ MongoDB & AI

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n8n Academic FAQ & Calendar Telegram Bot w/ MongoDB & AI

n8n Academic FAQ & Calendar Telegram Bot w/ MongoDB & AI

Regular price £65.99
Regular price £65.99 Sale price
SAVE Sold out

Turn your university FAQs and academic calendar into a 24/7 Telegram assistant—automated with n8n, MongoDB, and AI-ready chatbot logic.

This n8n workflow template provides a complete academic virtual assistant experience: it connects to Telegram, answers frequently asked questions by querying MongoDB, keeps the academic calendar up to date using periodic web scraping, and broadcasts weekly announcements to your community.

What this workflow does

  • Responds in real time to user messages received through Telegram.
  • Queries MongoDB collections to retrieve FAQ answers and relevant academic calendar dates.
  • Automatically updates the calendar by performing daily scraping of the university website (via HTTP Request + HTML extraction).
  • Collects continuous feedback (👍/👎) from users and logs it to MongoDB for ongoing improvement.
  • Sends proactive announcements on a weekly schedule to a Telegram channel.

Use cases

  • Student support automation: answer common questions instantly (e.g., deadlines, policy FAQs, schedule items) without manual staff effort.
  • Up-to-date academic communication: keep calendar details current through automated daily scraping and storage in MongoDB.
  • Community updates: publish important events via weekly Telegram announcements.
  • Workflow improvement loop: use stored feedback to refine FAQ content and responses.

Technical details

Built as three orchestrated n8n workflows (chatbot, scraping worker, announcer), using the following node stack:

  • set, code, switch, wait
  • html extraction and HTTP Request-based web scraping
  • MongoDB for FAQs, academic calendar dates, and feedback logs
  • Cron scheduling for daily and weekly periodic executions

Ideal for n8n users, automation engineers, and SaaS operators building a reliable Telegram + MongoDB academic support system.

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