How to bulk edit products in Shopify (complete guide)
The three ways to change many Shopify products at once — the admin bulk editor, CSV import and a bulk app — and when each one makes sense.
The Bulkvane team · · 2 min read
Three ways to edit many products
- Shopify admin bulk editor — select products, edit fields in a grid.
- Shopify's product CSV import — export, edit in a spreadsheet, import.
- A bulk app such as Bulkvane — export and import with a preview, error checks and undo.
The admin bulk editor
Good for quick changes to a few dozen products. It gets slow with large catalogues, and there's no formula, find-and-replace or undo.
CSV import
Handles thousands of rows and lets you use spreadsheet formulas. The downsides: CSV only, one sample product in the preview, and errors that can be hard to decode. If something goes wrong, there's no undo.
Bulk apps
Apps work with Excel files directly and add checks the built-in tools don't have. With Bulkvane, the flow is:
- Export the products you want to change to Excel or CSV.
- Edit the columns you need. Leave the ID columns alone.
- Upload the file and review the preview: every changed field, old and new side by side.
- Press Apply. A snapshot is saved first, so you can undo the import for 30 days.
Rather not handle files at all? Bulkvane's spreadsheet editor lets you edit products in a grid inside Shopify — paste from Excel, fill down — and the changes go through the same preview and undo.
Which one should you use?
- Under 50 products, one field: the admin bulk editor.
- Hundreds or thousands of products, one-off: CSV import — after exporting a backup.
- Regular changes, supplier files, or anything you'd hate to get wrong: a bulk app with preview and undo.
Keep reading
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Scientific-notation IDs, decimal commas, missing handles: the seven import mistakes we see most, how to spot them before they go live, and how to recover.
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Shopify product spreadsheet: every column explained
What each column in a Shopify product export means, which ones you can change on import, and which are read-only — with examples.
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