CSV files look simple, but import errors are surprisingly common.

A single malformed row, inconsistent header, duplicate entry, or empty column can break imports into:

databases

dashboards

APIs

CRMs

automation workflows

Over time I noticed that most CSV import problems come from the same small set of issues.

This is the workflow I now use before importing any CSV file into a system.

✅ 1. Validate the CSV structure first

Before doing anything else, make sure the file structure is valid.

Common CSV structure problems include:

inconsistent column counts

broken delimiters

malformed quotes

unexpected line breaks

corrupted exports

If the structure itself is invalid, cleanup later becomes much harder.

A quick validation step can save a lot of debugging time.

🧹 2.…