This n8n workflow automates the process of fetching daily weather data and storing it in Airtable for easy access and historical analysis. It is designed to run every day at 10 AM, ensuring that the weather information remains up-to-date without manual intervention.
The workflow begins with a Schedule Trigger node set to activate daily at a specified time. Once triggered, it initiates an HTTP Request node that calls the OpenWeatherMap API, retrieving current weather data including temperature, humidity, and wind speed for a specific location. This data is fetched using API authentication credentials.
Next, the data is passed to an Airtable node that stores the information into a predefined table. The stored data includes key weather metrics along with location and timezone details. Sticky notes are used throughout the workflow to provide contextual information and documentation.
This automation is useful for weather monitoring applications, data logging for seasonal analysis, or integrating weather data into larger workflows or dashboards, providing timely and organized weather insights daily.
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