Automated Daily Weather Data Fetcher and Storage
This workflow automatically retrieves weather data from the OpenWeatherMap API for specified locations every day, including information such as temperature, humidity, wind speed, and time zone, and stores it in an Airtable database. Through scheduled triggers and automated processing, users do not need to manually query, ensuring that the data is updated in a timely manner and stored in an orderly fashion. This process provides efficient and accurate weather data support for fields such as meteorological research, agricultural management, and logistics scheduling, aiding in related decision-making and analysis.
Workflow Name
Automated Daily Weather Data Fetcher and Storage
Key Features and Highlights
This workflow automatically calls the OpenWeatherMap API daily to retrieve the latest weather data for specified locations, including temperature, humidity, wind speed, and time zone information. The data is then automatically saved into an Airtable database. The entire process requires no manual intervention, enabling scheduled weather data fetching and historical archiving for easy subsequent querying and analysis.
Core Problems Addressed
Automates the acquisition and storage of weather data, eliminating the inconvenience and errors associated with manual querying and recording. It ensures timely data updates and orderly storage, providing reliable data support for weather trend analysis, environmental monitoring, and related business decision-making.
Application Scenarios
- Meteorological research and environmental monitoring
- Agricultural planting and management
- Logistics transportation and outdoor activity planning
- Smart home and energy management systems
- Enterprises or individuals requiring long-term weather data accumulation
Main Workflow Steps
- Schedule Trigger: Set a fixed daily time (e.g., 10:00 AM) to automatically start the workflow.
- Get Weather Data: Call the OpenWeatherMap API to obtain the latest weather information for specified latitude and longitude coordinates.
- Store Weather Data: Save the retrieved weather data (temperature, humidity, wind speed, location, time zone) into a designated Airtable table for data archiving.
Involved Systems or Services
- OpenWeatherMap API: Provides weather data interface
- Airtable: Serves as the database for storing and managing weather data
- n8n Scheduling Module: Supports automatic scheduled execution of the workflow
Target Users and Value
This workflow is suitable for users who need continuous weather information acquisition and data management, such as meteorological analysts, agricultural managers, logistics coordinators, and smart system developers. By automating the process, it reduces manual operations, improves data acquisition efficiency and accuracy, and provides high-quality weather data support for business decisions and research.