n8n Weather Risk Alerts for Airtable Outdoor Bookings + Slack
n8n Weather Risk Alerts for Airtable Outdoor Bookings + Slack
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n8n Weather Risk Alerts for Airtable Outdoor Bookings + Slack
Regular price
£41.99
Regular price
£41.99
Sale price
Unit price
/
per
Protect outdoor bookings with automated weather risk alerts (Airtable + Slack + WhatsApp)
This n8n workflow checks your upcoming confirmed outdoor bookings in Airtable, pulls location-specific forecasts from Open-Meteo, calculates a weather risk level, and then sends Slack alerts (and WhatsApp customer messages for severe risk) while updating the booking record to prevent repeat notifications.
What this workflow does
- Runs daily on a schedule to keep risk coverage up to date.
- Searches Airtable for bookings that are confirmed, marked as outdoor, and fall within your configured lookahead window.
- Geocodes each booking location using Open-Meteo Geocoding.
- Fetches a date-specific forecast from the Open-Meteo Forecast API.
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Calculates risk level (none, moderate, severe) based on configured thresholds using:
- rain probability
- expected precipitation
- maximum wind speed
- If risk is moderate: posts an internal Slack alert and updates the booking’s risk_level in Airtable.
- If risk is severe and the customer hasn’t been notified yet:
- sends a WhatsApp message to the customer
- posts a Slack alert to the owner
- sets customer_notified and marks the record as severe in Airtable
- If risk is severe and the customer was already notified: posts a “still severe” update to Slack and updates risk_level without messaging the customer again.
Use cases
- Outdoor tours, events, or rentals that need proactive weather warnings for guests.
- Ops teams managing multiple locations who want automated, record-based escalation in Airtable.
- SaaS operators using n8n to reduce no-shows by notifying customers only when conditions are severe.
Technical details
- n8n workflow nodes: if, set, code, Slack, Airtable, WhatsApp.
- APIs: Open-Meteo Geocoding and Open-Meteo Forecast.
- Airtable fields expected: customer_name, customer_number, location, booking_date, is_outdoor, status, customer_notified, risk_level.
