Editing Openai/69235e49-f78c-8001-a70a-37b4e2caa0d3 (section)

===== 🛠 Proposed automation outline =====

Here’s how you could build an alert system for “new snow” (for example a threshold of +5 cm in 24 hours or similar) for either or both resorts:
# Data extraction - For Sunshine: scrape the SUNQ1 station HTML. You’ll need to find the latest “snow depth” or “SWE change” values from the table. - For Lake Louise: hit the RSS endpoint (or any JSON/HTML endpoint if available) from the SkiLouise API to fetch the daily snowfall/24-hr change. - Store the previous reading each run (e.g., in a small database or plain file) so you can calculate delta (change) since last check.
# Threshold logic - Define what “new snow” means to you (e.g., 5 cm or more depth increase, or some other SWE change threshold). - Compare the latest data to previous reading → if delta ≥ threshold, trigger alert.
# Alert delivery - Choose your alert channel: email, push notification, Slack message, SMS, etc. - Include the resort name, time, depth change, maybe link to live webcam or conditions page.
# Schedule - Set your script to run once or twice daily (e.g., early morning when new data comes in). - If you own a small server or use AWS Lambda / Google Cloud Functions + schedule, that's a clean solution.
# Edge-cases / reliability - Ensure you handle missing data (e.g., early/late season when station not updating). - Might be good to fetch also the “resort‐reported overnight snowfall” from resort website as cross-check. For example SkiLouise says they report overnight, 24h, 48h values. Skilouise<ref>{{cite web|title=Skilouise|url=https://www.skilouise.com/things-to-do/how-we-report-snowfall-mountain-conditions/|publisher=skilouise.com|access-date=2026-01-19}}</ref> - Consider timezone / run time (Alberta MST/MDT) so you don’t miss the daily update window.