Generate and Prepare User Data CSV with GPT-4
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Leverage the OpenAI node to generate lists of fictional users and prepare them as CSV files. This workflow demonstrates how to create structured data for testing or seeding databases, including handling JSON parsing and BOM byte stripping for clean CSV output.
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About This Workflow
Overview
This n8n workflow automates the generation of mock user data using the powerful capabilities of OpenAI's GPT-4 model. It solves the problem of needing realistic, yet synthetic, user data for testing, development, or demonstration purposes. The workflow begins by triggering an OpenAI node to create a JSON array of fictional user profiles. These profiles are then processed to ensure they are in a structured format suitable for CSV conversion. Finally, the data is converted into CSV files, with specific nodes dedicated to handling potential issues like UTF-8 BOM bytes, ensuring the resulting CSVs are clean and readily usable. This is particularly useful for populating databases or for creating sample datasets for documentation.
Key Features
- Utilizes OpenAI GPT-4 for creative data generation.
- Generates structured JSON output for user data.
- Includes nodes for parsing JSON and converting data into tables.
- Converts data into CSV format with customizable filenames.
- Implements nodes to strip UTF-8 BOM bytes for cleaner CSV files.
- Saves the generated CSV files to disk.
How To Use
- Execute Workflow: Trigger the workflow manually by clicking the "Execute Workflow" button.
- OpenAI Node: The
OpenAInode will generate a JSON array of fictional user data based on the predefined prompt. - Split In Batches: This node prepares the output for subsequent processing, ensuring each generated user entry can be handled individually if needed (though set to batch size 1 here).
- Parse JSON: The
Parse JSONnode ensures the raw JSON output from OpenAI is correctly interpreted as a JavaScript object or array. - Make JSON Table: This node restructures the parsed JSON into a format suitable for table-based operations, preparing it for CSV conversion.
- Convert to CSV: The
Convert to CSVnode transforms the structured data into a CSV format, dynamically naming the files based on the batch index. - Strip UTF BOM bytes: The
Strip UTF BOM bytesnode removes any Byte Order Mark characters, which can cause issues when reading CSV files in different applications. - Create valid binary: This node ensures the CSV data is correctly formatted as binary data for saving, including setting the correct MIME type.
- Save to Disk: The
Save to Disknode saves the generated CSV file to your n8n instance's file system.
Apps Used
Workflow JSON
{
"id": "4e494a5e-4add-442a-978c-dd1c8efca0e8",
"name": "Generate and Prepare User Data CSV with GPT-4",
"nodes": 0,
"category": "PDF and Document Processing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 4e494a5e-4add...
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Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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