Generate Mock User Data with GPT-4 and n8n
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Effortlessly create realistic mock user data for testing and development. This workflow leverages GPT-4's advanced capabilities to generate unique user profiles and export them into clean, usable CSV files.
About This Workflow
Tired of manually creating placeholder data for your applications? This n8n workflow automates the generation of mock user profiles using the power of GPT-4. It's designed to produce a specified number of fictional users, each with a unique name, email, subscription status, and a dynamically generated subscription date (if applicable). The generated JSON data is then meticulously processed, converted into a CSV format, and saved locally, ensuring you have readily available, structured data for all your testing and development needs. This workflow is a flexible tool for anyone needing to populate databases, test integrations, or simulate user interactions without relying on real customer information.
Key Features
- AI-Powered Data Generation: Utilizes GPT-4 to create creative and varied user names and details.
- Customizable User Profiles: Generates user names where first and last names start with the same letter, alongside email addresses.
- Dynamic Subscription Data: Accurately sets subscription status and generates realistic subscription dates up to October 1, 2023, or leaves it blank.
- Clean JSON Output: GPT-4 is prompted to return only a JSON array for easy parsing.
- Automated CSV Export: Seamlessly converts generated data into well-formatted CSV files.
- Robust File Handling: Includes nodes to correctly handle potential UTF-8 BOM issues and ensures binary data is correctly formatted for saving.
How To Use
- Trigger the Workflow: Click the "Execute Workflow" button to initiate the data generation process.
- GPT-4 Generates Data: The OpenAI node, powered by GPT-4, creates a JSON array of mock user data based on the defined prompt.
- Batch Processing: The
Split In Batchesnode ensures individual user records are processed sequentially. - JSON Parsing: The
Parse JSONnode converts the raw JSON string from GPT-4 into a usable array structure. - Data Structuring: The
Make JSON Tablenode prepares the data for CSV conversion. - CSV Conversion: The
Convert to CSVnode transforms the structured data into a CSV file, dynamically naming each file (e.g.,funny_names_1.csv). - BOM Byte Handling: The
Strip UTF BOM bytesandCreate valid binarynodes ensure the CSV file is clean and free of common encoding issues. - Save to Disk: The
Save to Disknode stores the generated CSV file locally within your n8n instance.
Apps Used
Workflow JSON
{
"id": "4cc0c4fe-ec6f-4453-86f2-16d44b6c8866",
"name": "Generate Mock User Data with GPT-4 and n8n",
"nodes": 16,
"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: 4cc0c4fe-ec6f...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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