HttpRequest Automate

Target Audience

• Data Analysts: Individuals who analyze data and need to automate data collection from APIs into spreadsheets.
• Business Professionals: Users who require regular updates of user data in Google Sheets for reporting and analysis.
• Developers: Those looking to integrate APIs with Google Sheets and CSV files for application development and testing.
• Educators: Teachers or trainers who want to demonstrate API data retrieval and data manipulation in practical scenarios.

Problem Solved

This workflow automates the process of retrieving user data from an API and storing it in both Google Sheets and a CSV file. It eliminates the need for manual data entry, reducing errors and saving time. Users can easily manage and analyze data without repetitive tasks, ensuring that they always have the most up-to-date information at their fingertips.

Workflow Steps

1. Manual Trigger: The workflow begins with a manual trigger. Users click Execute Workflow to start the process.
2. HTTP Request: An HTTP Request node fetches user data from the API endpoint https://randomuser.me/api/.
3. Data Mapping: The workflow uses a Set node to map and format the incoming JSON data into a more structured format, extracting key details like Full Name, Country, and Email.
4. Google Sheets Integration: The mapped data is then sent to the Google Sheets node, where it appends the new data to the specified sheet, ensuring that existing data is preserved.
5. CSV File Generation: Simultaneously, the workflow can convert the data into a CSV file format, allowing for easy offline access and sharing.
6. Sticky Notes: Throughout the workflow, sticky notes provide helpful information and instructions to guide users on how to utilize and customize the workflow effectively.