n8n templatesn8n templates

Automated Workflow for Random User Data Acquisition and Multi-Format Processing

This workflow automatically fetches user information by calling a random user API and implements multi-format data conversion and storage. It appends user data in real-time to Google Sheets, generates CSV files, and converts them to JSON format, which is then sent via email. This process enhances the efficiency of data collection and sharing, reduces the risk of manual operations, and is suitable for scenarios such as market research, data processing, and team collaboration, significantly improving work efficiency.

Workflow Diagram
Automated Workflow for Random User Data Acquisition and Multi-Format Processing Workflow diagram

Workflow Name

Automated Workflow for Random User Data Acquisition and Multi-Format Processing

Key Features and Highlights

This workflow automatically retrieves user information by calling the Random User API and completes multi-format data conversion, storage, and distribution. It supports real-time appending of user data to Google Sheets, generating CSV files, converting data into JSON format files, and sending them as email attachments via Gmail, enabling efficient data synchronization and sharing. The process is highly automated, easy to operate, and versatile.

Core Problems Addressed

  • Automates the collection of random user data, eliminating manual entry
  • One-click data format conversion to meet various application needs (spreadsheets, CSV, JSON)
  • Enables data backup and sharing to enhance team collaboration efficiency
  • Reduces repetitive tasks and minimizes the risk of human errors

Application Scenarios

  • Market Research: Quickly generate sample user information for testing and analysis
  • Data Processing: Cross-system data format conversion and synchronization
  • Team Collaboration: Share the latest user data sheets and backup files
  • Automated Email Notifications: Send data reports or samples to designated recipients

Main Workflow Steps

  1. Access the Random User API via HTTP request to fetch random user data
  2. Use a Set node to extract and format user name and country information
  3. Append the processed user data to a specified Google Sheets document
  4. Export the data as a CSV file
  5. Convert the CSV data into a JSON format binary file
  6. Write the JSON file to local storage
  7. Send an email with the JSON file attached via the Gmail node
  8. Parse the JSON data from the email attachment again and append it to Google Sheets, achieving multi-channel data synchronization

Involved Systems or Services

  • Random User API (https://randomuser.me/api/)
  • Google Sheets (data appending via OAuth2 authentication)
  • Local File System (generation and writing of CSV and JSON files)
  • Gmail (OAuth2 authentication for sending emails and attachments)

Target Users and Value

  • Data analysts and market researchers for rapid acquisition and processing of test sample data
  • Operations teams for cross-platform data synchronization and backup
  • Developers and automation engineers building automated data processing and distribution workflows
  • Any teams requiring regular collection, conversion, and sharing of user information to improve work efficiency and reduce manual operation risks