Automated Weather Data Fetcher

This workflow is ideal for:

• Weather Enthusiasts: Individuals who want to track daily weather changes.
• Businesses: Companies in agriculture, tourism, or outdoor events that require accurate weather data for decision-making.
• Developers: Those looking to integrate weather data into applications or services.
• Researchers: Academics needing historical weather data for studies or analyses.

This workflow addresses the following issues:

• Lack of Automated Weather Updates: It automates the process of fetching daily weather data without manual intervention.
• Data Storage Challenges: It provides a systematic way to store weather data in Airtable, making it easily accessible for future reference.
• Time Management: Users save time by not having to check weather data manually every day.

The workflow operates through the following steps:

1. Schedule Trigger: The workflow is set to run automatically every day at 10:00 AM.
2. Get Weather Data: It fetches current weather information from the OpenWeatherMap API using specific coordinates (latitude: 23.0059, longitude: 72.5547).
3. Store Weather Data: The fetched data, including temperature, humidity, wind speed, and location, is stored in an Airtable database for easy access and historical record-keeping.
4. Sticky Notes: Two sticky notes are created within the workflow for documentation purposes, providing a summary and description of the workflow.