Shopify App : S‑BULK Excel Like Product Edit

Excel like spreadsheet editing metafields, csv, import, export

About S‑BULK Excel Like Product Edit

Clear and easy online editing : Excel-like spreadsheet interface enables you to quickly locate and change any product property or meta. Rich filter and data edit options.

Custom csv/xlsx exporting : Choose xlsx or CSV format and specify output column names as you need. Export meta fields. Save export sets like "for Amazon", "for FB"...

Smart import with preview : Smart import with "Preview" option. Recognizes a variety of input file formats. Imports everything including images, collect. and metas


S-BULK Excel Like Product Edit is an app that lets the users manage their products in a spreadsheet manner using an Excel-like interface.

This type of interface is preferred by most people because it gives natural in-control feeling over data and they understand it right away. Product/variant data is searchable/accessible and all editing means are concentrated on a single screen.

Features in general

  • LIVE data updates - if any product/variant property is changed outside of the APP, or by your colleague that also works on your shop in the APP, while you work changes will appear to you instantly.
  • GOOGLE SHOPPING SUPPORT (official meta list provided)
  • Fast product/variant management and import, export
  • Powerful & smart IMPORT parser (XLSX|CSV|ODT) - can parse various formats
  • IMPORT PREVIEW! - you see what will happen before commit
  • Export to XLSX or CSV. Ability to export only what is filtered
  • Best and easiest METAFILED editing tool (import | export | calculate )
  • Add/Edit/Delete products & variants
  • Mass add variant to filtered products
  • 5 days backward time-machine (if app was present)
  • Edit any property of product or variant
  • Search/Replace description and other text fields for a mass of products
  • Mass update price (DISCOUNT option). Price / Compare price can be increased or decreased by percent or fixed amount
  • Drag-down | up cell value set and DRAG-&-DROP images!
  • Apply mass actions to a filtered set of products
  • FILTER by any column you see (default set or calculated or metafield)
  • MASS-process filtered products & variants
  • TRIGGERS - you can program a trigger to calculate some value after some product/variant property update.
  • CALCULATED COLUMNS - filterable! Similarly to Google Spreadsheets Triggers/Calculated columns language is JavaScript (NOT VBA), current row object is $R. Most of columns may trigger even on server side while you don't use the APP.

Operations, like adding a product to the collection, editing meta fields, copy-pasting images for products or variants, are significantly easier​ using this type of data entry.

This APP that gives the best interface for the edit of product and variant metafields - JUST TYPE INTO CELL AND THATS IT! .

Ability to automatically add meta-fields on front-end product page.

Spreadsheet GUI supports columns data sorting, re-sizing, re-order, hiding, variable number of frozen columns, column re-naming.

FILTERING * you can type "> 100" in filter corresponding to numeric column to filter only items with a value greater than 100. * you can use combine multiple conditions with ||, for example to get ones between 100 and 500 * use ! at start for negation, = for exact match on text columns * when exporting you will get what is filtered in a exported file

App Images
Launch date
November 30, 2016
App rating
Top features

Up-to-date tech: works with the latest themes

Speed tested: low impact to your online store

Social media links

About the Author

Matej Kontros

Matej Kontros is an E-Commerce expert and app developer with over a decade of professional experience in IT.

Matej has worked for organisations of all types and sizes, including global players, startups, and agencies. He designed, developed, and maintained complex projects.

Matej's expertise includes e-commerce, software engineering, web development, systems administration, internet security, managing projects, and building teams.

Visit his website at [ Web Linkedin ] or contact him at