Templates / Send daily daycare menu, schedule, and weather briefings with Gemini and WhatsApp

Send daily daycare menu, schedule, and weather briefings with Gemini and WhatsApp

Ready for 3.0

by Lal Krishna · 15 views · created 2026-09-24 · Personal Productivity, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 17 nodes and runs on a schedule (cron 0 7 * * *). Along the way it connects Google Gemini Chat Model and Google Sheets. It also calls api.open-meteo.com and api.callmebot.com over HTTP.

How it runs

Trigger: On a schedule (cron 0 7 * * *).

  1. Set Initial Parameters (Edit Fields (Set)): sets 7 fields: menu_url, timezone, latitude…
  2. Calculate Date and Avoid Duplicates (Code): runs custom JavaScript code
  3. If: checks a condition and branches into true / false
  4. Fetch Daycare Menu Page (HTTP Request): calls an HTTP API
  5. Read Family Schedule from Sheets (Google Sheets): uses Google Sheets
  6. Locate Today's Menu Section (Code): runs custom JavaScript code
  7. Fetch Weather Forecast (HTTP Request): calls api.open-meteo.com
  8. If: checks a condition and branches into true / false
  9. Generate Weather and Clothing Advice (Code): runs custom JavaScript code
  10. Extract Menu Using Gemini (Basic LLM Chain): sends a prompt to an LLM, with model: Gemini AI Model

…plus 5 more steps. See the full node list below.

Services it uses

Google Gemini Chat ModelGoogle Sheets

HTTP calls to: api.open-meteo.com, api.callmebot.com

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (8)

From the author

Quick overview This workflow runs every morning to fetch a daycare menu from a webpage, read your family schedule from Google Sheets, and pull a local forecast from Open-Meteo, then uses Google Gemini to reliably extract today’s meals and sends a single…

Excerpt from Lal Krishna's description on n8n.io.

View the original on n8n.io → Check your own copy

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