Automated Daily Weather Data Fetcher and Storage fetches daily weather data using the OpenWeatherMap API and stores it in Airtable. This workflow captures key metrics like temperature, humidity, and wind speed, ensuring that weather information is consistently updated and easily accessible for future reference.
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.
Users can customize this workflow by:
- Changing the Schedule: Adjust the time in the Schedule Trigger node to fetch data at a different hour.
- Modifying Location Coordinates: Update the latitude and longitude values in the Get Weather Data node to fetch weather data for different locations.
- Altering Airtable Fields: Customize the columns in the Store Weather Data node to include additional weather parameters or change existing ones.
- Styling Sticky Notes: Modify the content, size, and color of the sticky notes to better suit personal preferences or to provide more detailed information.