Generate Realistic Mock User Data with GPT-4
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Effortlessly create realistic mock user data in CSV format using the power of GPT-4. This workflow automates the generation of user profiles, perfect for testing, development, and sales simulations.
About This Workflow
This n8n workflow leverages GPT-4 to generate high-quality, fictional user data, formatted for easy integration into your projects. It intelligently crafts user names where the first name and surname share the same starting letter, mimicking real-world naming conventions. The workflow also handles subscription statuses and dynamically assigns dates for subscribed users, ensuring data accuracy up to a specified point. The output is cleanly structured JSON which is then transformed into multiple, well-formatted CSV files, ready for immediate use. The process includes essential steps for data parsing and ensuring correct file encoding, making it a robust solution for your mock data needs.
Key Features
- AI-Powered Data Generation: Utilizes GPT-4 to create unique and realistic fictional user profiles.
- Customizable Data Fields: Generates user names, emails, subscription status, and subscription dates.
- Intelligent Naming Convention: Ensures first name and surname start with the same letter.
- Dynamic Date Handling: Assigns realistic subscription dates for active users.
- Multiple CSV Outputs: Generates separate CSV files for organized data management.
How To Use
- Trigger the Workflow: Click the 'Execute Workflow' button to initiate data generation.
- AI Data Creation: The OpenAI node, powered by GPT-4, generates a JSON array of mock user data based on defined prompts.
- Data Structuring: The 'Parse JSON' node converts the raw JSON output into a usable array.
- Batching: The 'Split In Batches' node divides the data for creating multiple CSV files (configured to create 3 files by default).
- Table Formation: The 'Make JSON Table' node prepares the data for CSV conversion.
- CSV Conversion: The 'Convert to CSV' node transforms the structured data into a CSV format.
- File Cleaning (BOM Handling): 'Strip UTF BOM bytes' and 'Create valid binary' nodes ensure the CSV file is free from Byte Order Mark issues for wider compatibility.
- File Saving: The 'Save to Disk' node stores the generated CSV file locally within your n8n environment.
Apps Used
Workflow JSON
{
"id": "9c11dc03-d01f-4901-8e94-5c2e4660ec00",
"name": "Generate Realistic Mock User Data with GPT-4",
"nodes": 15,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 9c11dc03-d01f...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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