Editing your products and variants in Shopify can be done easily through Shopify’s own bulk editor or through using a data management tool.
ThereBulk Editor in Shopify:
With the bulk editor, which is similar to a spreadsheet, you can edit multiple products and their variants at once from your Shopify admin. You can also use the bulk editor to edit collections, customers, and online store blog posts and pages.
The bulk editor works by adding parameters to URLs. This can result in URLs that exceed your browsers limitation for URL length, so using the bulk editor might lead to errors.
Data Management tool:
There are many different tools out there to help you with this. But when investing in tools its important to look at it’s different features. Functionality and the ability to be as dynamic as your data is. Most tools have limited features and can be used only for one purpose. Creating a software stack of many tools can be confusing and time consuming have to switch between each tool and plugin.
With all this in mind. The right choice is to adopt a data management tool, like Quidtree.
Take control of all your data – no black-box. Control every single aspect of what gets imported and what gets exported. Edit your data in bulk and compare and analyze your results. Implement your business logic directly into your data processing for a completely customizable business automation.
All of your data in a single overview – or multiple overviews, if you choose. Your data imports and exports are scheduled so they are always up to date.
Edit your import by defining a column that you would like to expand or collapse on. This makes creating grouped data sets or variations of your data as simple as clicking a button.
While our XML parser is advanced, sometimes XML files can be too complex to showcase in a grid view. In this case use our XML column picker to interact with your XML and select the tags you want imported as columns.
After your import you can edit your data, by adding rules to your columns. You can specify exactly which columns should be imported and which shouldn’t.
Sync your data tables together by defining a column with a common attribute. The merged tables are easily accessible and can be viewed together or separately. You can also create rules that reference a column from a synced table.
Create a mapping table that uses the unique values from your data sources and lets you map the data to a new value. Predefined taxonomies are given to make your data mapping go faster.
One large table to view all of data. Easily switch between your different import and exports. Sort your data, filter your data, customize your view and see a preview of changes made since your last import or export.