Why manual url cleaner fails on real files

Links exported from an ad platform arrive with utm_source, fbclid and three tracking parameters glued on. Pasted into a spreadsheet, they make every row too wide to read and break later comparison.

You see this most often in affiliate reports, campaign exports, link audits. Find-and-replace on "utm_" leaves orphaned ampersands and query separators behind.

What actually goes wrong

Manual handling fails in a specific way: it does not produce obviously broken output, it produces output that is almost right. Find-and-replace on "utm_" leaves orphaned ampersands and query separators behind. The mistake survives review because nothing looks wrong until an importer rejects the file or a report is quietly incorrect.

A cheaper habit

Check the file before it leaves your machine. That is the entire purpose of URL Cleaner — it reads the data you paste, applies the same rules an importer would, and shows the row that will break, rather than a summary of how many rows broke.

Business parameters such as color, size or page survive the pass, because deleting every query string breaks real links. The list is processed in one go, so a 400-row campaign export does not turn into 400 copy-paste operations.

For the full picture — imports, feeds, variants, identifiers — see the pillar guide: Shopify product data management.

Try it on your own file

Open URL Cleaner and paste a sample. It is free, it does not store anything, and you do not need an account. If the file is sensitive, save the page locally and run it offline.

Questions people ask

Does it remove everything?

No — only known tracking keys (utm_*, fbclid, gclid and similar). Business parameters stay.

Does it work on malformed URLs?

It reports them as invalid instead of guessing what you meant.