Generate Weather-Based Date Itineraries with Google Places, OpenRouter AI, and Slack
Workflow preview
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Important notice
This workflow is provided as-is. Please review and test before using in production.
Overview
π§© What this template does
This workflow builds a 120-minute local date course around your starting point by querying Google Places for nearby spots, selecting the top candidates, fetching real-time weather data, letting an AI generate a matching emoji, and drafting a friendly itinerary summary with an LLM in both English and Japanese. It then posts the full bilingual plan with a walking route link and weather emoji to Slack.
π₯ Who itβs for
Makers and teams who want a plug-and-play bilingual local itinerary generator with weather awareness β no custom code required.
βοΈ How it works
Trigger β Manual (or schedule/webhook).
Discovery β Google Places nearby search within a configurable radius.
Selection β Rank by rating and pick the top 3.
Weather β Fetch current weather (via OpenWeatherMap).
Emoji β Use an AI model to match the weather with an emoji π€οΈ.
Planning β An LLM writes the itinerary in Markdown (JP + EN).
Route β Compose a Google Maps walking route URL.
Share β Post the bilingual itinerary, route link, and weather emoji to Slack.
π§° Requirements
n8n (Cloud or self-hosted)
Google Maps Platform (Places API)
OpenWeatherMap API key
Slack Bot (chat:write)
LLM provider (e.g., OpenRouter or DeepL for translation)
π Setup (quick)
Open Set β Fields: Config and fill in coords/radius/time limit.
Connect Credentials for Google, OpenWeatherMap, Slack, and your LLM.
Test the workflow and confirm the bilingual plan + weather emoji appear in Slack.
π Customize
Adjust ranking filters (type, min rating).
Modify translation settings (target language or tone).
Change output layout (side-by-side vs separated).
Tune emoji logic or travel mode.
Add error handling, retries, or logging for production use.