How to rename and remove columns
The detected table comes with inferred column names, which are usually close and occasionally wrong. Renaming and removing columns before you extract costs seconds and saves cleaning a CSV later — particularly if you're merging results from several sites into one schema.
Takes about 2 min
Steps
Look at the detected columns
In the side panel, each detected field appears as a column with an inferred name.
Rename anything unclear
Give columns the names your spreadsheet or CRM expects. Decide a standard schema before you start if you'll be collecting from several sites.
Remove columns you don't need
Fewer columns means a cleaner export and less to clean up. It's also good data hygiene — don't collect what you have no use for.
Extract
The export uses your column names, not the inferred ones.
Worth knowing
- Consistent column names across sites are what make a multi-site collection mergeable. Merging fifty CSVs with different headers afterwards is the tedious part, and it's avoidable.
- Consider adding source and capture-date information to your own spreadsheet after export — provenance matters if you ever have to explain where a record came from.
Questions
Can I add a column that wasn't detected?
Column detection works from the repeating structure on the page. If a field you want is on each item's own detail page rather than the listing, use "follow detail pages" to pull it in and merge it into the table.