Devart Connector for Shopify from Excel
Devart s.r.o.
Devart Connector for Shopify from Excel
Devart s.r.o.
Devart Connector for Shopify from Excel
Devart s.r.o.
Connect to Shopify Directly from Excel
Connect Shopify to Excel Using Add-In
Connect to Shopify Directly from Excel
To connect Excel to Shopify you just need to specify the Shopify store and enter the Access Token from API credentials tab of the Apps and sales channel section of your Shopify app configuration.
Connection information may optionally be stored in the Excel file, or you may reenter it whenever necessary.
Use Query Builder or SQL to Import Data You Need
Visual Query Builder allows you to choose a table to import data from, select the columns from this table and related tables, and set filter conditions and data ordering options visually. If you need to select data more precisely, you can use SQL to select data you need.
Devart Excel Add-in for Shopify provides advanced SQL support for Shopify, and allows you to use complex SQL queries to get exactly the data you need.
Before finally importing data you can preview data and verify the query in a Data Preview window.
Instantly Refresh Data Whenever You Need
It's very convenient to always have fresh data from Shopify right in your workbook. Imagine, you have performed data analysis in your Excel workbook, built some charts for your Shopify data, and you can re-read data from the source and update all this to the current state by just clicking a button on the ribbon whenever you need.
Edit Shopify Data Like Usual Excel Spreadsheets
To edit Shopify data in Excel you need just to click the Edit Mode button on the ribbon before editing, and then you can edit data just like you usually do it - add or delete rows, modify cell values, etc. All the changes are highlighted so you can easily see which data is changed.
After you finish editing, simply click Commit to write changes to Shopify or Rollback to cancel changes.
Instant Data Validation
Devart Excel Add-in for Shopify instantly validates entered data and highlights errors, such as incorrect dates, duplicate primary key values, etc.