HttpRequest Automate

Target Audience

This workflow is ideal for:

• Data Analysts: Who need to automate data collection and storage processes.
• Marketing Professionals: Looking for efficient ways to gather user data for campaigns.
• Small Business Owners: Wanting to streamline their data management without extensive coding knowledge.
• Educators and Researchers: Needing to collect and analyze user data for studies or projects.

Problem Solved

This workflow addresses the challenge of manually collecting user data from APIs and storing it in both Google Sheets and CSV files. It automates the process of fetching user data, organizing it, and making it accessible for further analysis or reporting, thus saving time and minimizing human error.

Workflow Steps

1. HTTP Request: Initiates a request to https://randomuser.me/api/ to fetch random user data.
2. Set Node: Extracts relevant user information (name and country) from the API response and prepares it for further processing.
3. Google Sheets: Appends the extracted user data into a specified range in a Google Sheet, allowing for easy access and collaboration.
4. Spreadsheet File: Converts the user data into a CSV file format for offline storage or sharing.
5. Write Binary File: Saves the fetched user data in JSON format for structured data storage.
6. Gmail: Sends an email with the JSON file attached, allowing for easy distribution of the collected data.
7. Move Binary Data: Handles the conversion of data formats between different nodes to ensure smooth processing.