Clean & Standardize CSV Uploads for Google Sheets and Drive Import
🧹 Auto-Clean CSV Uploads Before Import
This workflow automatically cleans, validates, and standardizes any CSV file you upload. Perfect for preparing customer lists, sales leads, product catalogs, or any messy datasets before pushing them into Google Sheets, Google Drive, or other systems.
⚙️ How It Works
CSV Upload (Webhook)
Upload your CSV via webhook (supports form-data, base64, or binary file upload).
Handles files up to ~10MB comfortably.
Extract & Parse
Reads raw CSV content.
Validates file structure and headers.
Detects and normalizes column names (e.g. First Name → first_name).
Clean & Standardize Data
Removes duplicate rows (based on email or all fields).
Deletes empty rows.
Standardizes fields:
Emails → lowercased, validated format.
Phone numbers → normalized (xxx) xxx-xxxx or +1 format.
Names → capitalized (John Smith).
Text → trims spaces & fixes inconsistent spacing.
Assigns each row a data quality score so you know how “clean” it is.
Generate Cleaned CSV
Produces a cleaned CSV file with the same headers.
Saves to Google Drive (optional).
Ready for immediate import into Sheets or any app.
Google Sheets Integration (Optional)
Clears out an existing sheet.
Re-imports the cleaned rows.
Perfect for always keeping your “master sheet” clean.
Final Report
Logs processing summary:
Rows before & after cleaning.
Duplicates removed.
Low-quality rows removed.
Average data quality score.
Outputs a neat summary for auditing.
🛠️ Setup Steps
Upload Method
Use the webhook endpoint generated by the CSV Upload Webhook node.
Send CSV via binary upload, base64 encoding, or JSON payload with csv_content.
Google Drive (Optional)
Connect your Drive OAuth credentials.
Replace YOUR_DRIVE_FOLDER_ID with your target folder.
Google Sheets (Optional)
Connect Google Sheets OAuth.
Replace YOUR_GOOGLE_SHEET_ID with your target sheet ID.
Customize Cleaning Rules
Adjust the Clean & Standardize Data code node if you want different cleaning thresholds (default = 30% minimum data quality).
📊 Example Cleaning Report
Input file: raw_leads.csv
Rows before: 2,450
Rows after cleaning: 1,982
Duplicates removed: 210
Low-quality rows removed: 258
Avg. data quality: 87%
✅ Clean CSV saved to Drive
✅ Clean data imported into Google Sheets
✅ Full processing report generated
🎯 Why Use This?
Stop wasting time manually cleaning CSVs.
Ensure high-quality, import-ready data every time.
Works with any dataset: leads, contacts, e-commerce exports, logs, surveys.
Completely free — a must-have utility in your automation toolbox.
⚡ Upload dirty CSV → Get clean, validated, standardized data instantly!
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