GoogleDriveTrigger Automate

For Google Drive, this automated workflow monitors a designated folder for new CSV files, identifies and removes personally identifiable information (PII) using OpenAI, and uploads the sanitized files back to Google Drive. It streamlines data privacy compliance and enhances data security by ensuring sensitive information is effectively managed.

7/8/2025
10 nodes
Complex
manualcomplexgoogledrivetriggergoogle driveextractfromfilelangchainsplitoutsticky notefilesstorage
Categories:
Complex WorkflowManual TriggeredCloud Storage & File Management
Integrations:
GoogleDriveTriggerGoogle DriveExtractFromFileLangChainSplitOutSticky Note

Target Audience

This workflow is ideal for:
- Data Privacy Officers: Professionals responsible for ensuring compliance with data protection regulations (e.g., GDPR, CCPA) by managing personally identifiable information (PII).
- Data Analysts: Individuals who work with sensitive data and need to sanitize CSV files before sharing or analyzing them.
- Business Owners: Entrepreneurs who want to ensure that customer data is handled responsibly and securely.
- IT Professionals: Experts who manage data workflows and require automated solutions for data handling and storage.

Problem Solved

This workflow addresses the challenge of managing personally identifiable information (PII) in CSV files uploaded to Google Drive. It automates the process of:
- Monitoring a specific Google Drive folder for new CSV files.
- Identifying columns that contain sensitive PII using OpenAI's analysis capabilities.
- Removing these PII columns to ensure compliance with data protection regulations before sharing or processing the data further.
- Uploading the sanitized file back to Google Drive for secure storage.

Workflow Steps

  • Trigger: The workflow begins with the Google Drive Trigger node, which monitors a designated folder for any new files created every minute.
    2. File Download: Once a new file is detected, the Google Drive node downloads the file's contents for processing.
    3. Extract Data: The Extract from File node processes the downloaded file to prepare the data for analysis.
    4. Identify PII: The OpenAI node analyzes the data and identifies columns containing PII, returning the column names.
    5. Merge Data: The Merge node combines the results from the previous steps to prepare for PII removal.
    6. Remove PII: The Remove PII columns node executes JavaScript code to remove the identified PII columns from the dataset.
    7. Generate CSV: The sanitized data is then converted into CSV format, ready for upload.
    8. Upload: Finally, the Upload to Drive node uploads the cleaned CSV file back to a specified folder in Google Drive.

    • Customization Guide

    Users can customize this workflow by:
    - Changing the Folder: Modify the folderToWatch parameter in the Google Drive Trigger node to monitor a different folder.
    - Adjusting PII Analysis: Alter the messages sent to the OpenAI node to change the criteria for identifying PII based on specific organizational needs.
    - Editing File Naming: Users can adjust the logic in the Remove PII columns node to change how the sanitized file is named before uploading.
    - Adding More Steps: Additional nodes can be added for further processing, such as notifying team members via email or integrating with other platforms for enhanced data management.