Description
Automated generation of structured user data in CSV format — powered by AI
📊 Tired of manually creating mock data for testing? This workflow creates randomized, formatted CSVs using GPT-4 — great for prototyping, analytics, and automation setups.
🧠 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.
✔️ Saves time when creating fake user data
✔️ Ensures consistency across test datasets
✔️ Produces multiple downloadable CSV files with custom formats
⚙️ How It Works
🧠 Uses GPT-4 to generate lists of fake users in JSON format
🔁 Loops through the output in batches
🧼 Parses and cleans each user record
📋 Converts the data into a structured table
📎 Transforms the table into CSV format
💾 Saves each batch as a downloadable CSV file
🔁 Repeats until all data is processed
✨ Key Features
🧠 Uses one-shot GPT-4 prompting for realistic user mock data
📥 Converts AI responses into downloadable CSVs
🔁 Processes and saves each record in batches
📛 Names and surnames start with the same letter (for extra flair!)
📆 Includes realistic subscription logic and dates
🧼 Built-in BOM byte stripping for clean file output
🧰 What You Need
✅ OpenAI API key with GPT-4 access
✅ Local or cloud n8n setup with file system write access
🚀 Setup Instructions
🔗 Start the workflow manually or embed it into a larger flow
📥 Trigger generates 3 lists of random users from GPT-4
🧩 Configure the prompt as needed for different attributes
📂 Files saved to the .n8n directory with dynamic filenames
✅ Test with default setup and customize for your own needs
🔌 Integrations
OpenAI GPT-4
File System
n8n Core Nodes
