Prepare CSV files with GPT-4

Prepare CSV files with GPT-4 automates the generation of user data in CSV format, creating three files with random fictional character names and subscription details. This workflow efficiently integrates OpenAI for data generation, ensuring quick and accurate output while eliminating manual data entry errors.

7/8/2025
11 nodes
Medium
manualmediumopenaisplitinbatchessticky noteitemlistsspreadsheetfilewritebinaryfilemovebinarydataadvancedfilesstorage
Categories:
Manual TriggeredMedium Workflow
Integrations:
OpenAiSplitInBatchesSticky NoteItemListsSpreadsheetFileWriteBinaryFileMoveBinaryData

Target Audience

This workflow is ideal for:
- Data Analysts looking to generate mock user data for testing purposes.
- Developers who need random user data for application development.
- Marketers wanting to simulate user profiles for campaign analysis.
- Educators seeking to demonstrate data processing and CSV generation in their curriculum.

Problem Solved

This workflow addresses the need for generating random user data in a structured format, specifically:
- It automates the creation of a JSON array of users with unique names derived from famous fictional characters.
- It ensures that user subscription data is randomized and formatted correctly, which is essential for testing and analysis.

Workflow Steps

  • Manual Trigger: The workflow starts when the user clicks "Execute Workflow".
    2. OpenAI Integration: It sends a request to OpenAI's GPT-4 model to generate a list of 10 random users based on specified criteria, ensuring the output is a single line JSON array.
    3. Split in Batches: The generated data is split into manageable batches for further processing.
    4. Parse JSON: Each batch is parsed to extract user information into a structured format for easier manipulation.
    5. Make JSON Table: Converts the parsed data into a format suitable for CSV conversion.
    6. Convert to CSV: The structured data is converted into CSV format, with filenames dynamically generated to avoid overwriting.
    7. Strip UTF BOM bytes: Ensures that any unwanted BOM bytes are removed from the CSV file for compatibility.
    8. Create Valid Binary: The CSV data is converted to a binary format for saving.
    9. Save to Disk: Finally, the binary CSV files are saved to the specified directory, ensuring that all data is stored correctly.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying the OpenAI Prompt: Change the prompt text to generate different types of user data or adjust the characteristics of the generated users.
    - Adjusting Batch Size: Alter the batch size in the "Split In Batches" node to control how many users are processed at once.
    - Changing File Naming Convention: Update the file naming pattern in the "Convert to CSV" node to suit specific organizational needs.
    - Altering Output Directory: Adjust the file path in the "Save to Disk" node to change where the CSV files are stored.
    - Adding Additional Nodes: Incorporate additional processing nodes to further manipulate the generated data, such as filtering or transforming user attributes.