Description
Automated generation of structured user data in CSV format โ powered by AI
๐ Tired of manually creating mock data for testing? This workflow creates randomized, formatted CSVs using GPT-4 โ great for prototyping, analytics, and automation setups.
๐ง What Problem Does It Solve?
Generating sample user data manually is repetitive, slow, and often inconsistent. This workflow leverages GPT-4 to automate the creation of mock user profiles and outputs them as clean CSV files for further use in apps, dashboards, or tests.
โ๏ธ Saves time when creating fake user data
โ๏ธ Ensures consistency across test datasets
โ๏ธ Produces multiple downloadable CSV files with custom formats
โ๏ธ How It Works
๐ง Uses GPT-4 to generate lists of fake users in JSON format
๐ Loops through the output in batches
๐งผ Parses and cleans each user record
๐ Converts the data into a structured table
๐ Transforms the table into CSV format
๐พ Saves each batch as a downloadable CSV file
๐ Repeats until all data is processed
โจ Key Features
๐ง Uses one-shot GPT-4 prompting for realistic user mock data
๐ฅ Converts AI responses into downloadable CSVs
๐ Processes and saves each record in batches
๐ Names and surnames start with the same letter (for extra flair!)
๐ Includes realistic subscription logic and dates
๐งผ Built-in BOM byte stripping for clean file output
๐งฐ What You Need
โ
OpenAI API key with GPT-4 access
โ
Local or cloud n8n setup with file system write access
๐ Setup Instructions
๐ Start the workflow manually or embed it into a larger flow
๐ฅ Trigger generates 3 lists of random users from GPT-4
๐งฉ Configure the prompt as needed for different attributes
๐ Files saved to the .n8n directory with dynamic filenames
โ
Test with default setup and customize for your own needs
๐ Integrations
OpenAI GPT-4
File System
n8n Core Nodes













