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Clean CSV data and flag duplicate customer rows

Normalize CSV headers, types, dates, and email validation while flagging duplicate customer records.

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CSV & Excel Data Quality Cleaner
CSV & Excel Data Quality Cleanerautomation-lab/csv-excel-data-quality-cleaner
Source row
Valid
Duplicate
Issues
+1 field
Text
Number
Boolean
List
Object

Input

Inline CSV:Customer ID, Full Name ,Email,Amount,Order Date C-001, Alice Smith ,alice@acme.com,1250.50,2026-08-01 C-001,Alice Smith,alice@acme.com,1250.50,2026-08-01 C-002, Bob Jones ,not-an-email,-5,invalid-date
Column conversion and validation rules
Input column(required):email+2
Data type:string+2
Required:true+2
Regular expression:^[^@\s]+@[^@\s]+\.[^@\s]+$
Duplicate key columns:customer_id+1
Duplicate action:flag
Maximum rows:100

Output fields

Source row
Valid
Duplicate
Issues
Validation findings

How it works

Sign up on Apify or log in

The CSV & Excel Data Quality Cleaner Actor is ready to run with the inputs already set for "Clean CSV data and flag duplicate customer rows". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Clean CSV data and flag duplicate customer rows" task

The CSV & Excel Data Quality Cleaner Actor will start running based on the input automatically. You can also change all the input fields, like inline csv, column conversion and validation rules, and more, to match your specific use case.

Receive the "Clean CSV data and flag duplicate customer rows" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as source row, valid, duplicate, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Clean CSV data and flag duplicate customer rows" task via API.

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