Standardize CSV column names from a public file URL

Created by

Automation Lab

Actor

CSV & Excel Data Quality Cleaner

Fetch a public country code CSV file, normalize its schema, and validate required name and code fields.

Try for free

CSV & Excel Data Quality Cleanerautomation-lab/csv-excel-data-quality-cleaner

Source row

Valid

Duplicate

Issues

+1 field

Input

CSV or XLSX file URL:https://datahub.io/core/country-list/_r/-/data.csv

File format:csv

Column conversion and validation rules

Input column(required):name+1

Data type:string+1

Required:true+1

Duplicate key columns:code

Duplicate action:remove

Maximum rows:250

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 "Standardize CSV column names from a public file URL". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Standardize CSV column names from a public file URL" 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 CSV or XLSX file URL, file format, and more, to match your specific use case.

Receive the "Standardize CSV column names from a public file URL" 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 "Standardize CSV column names from a public file URL" task via API.