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The Shopify Excel Add-In is a powerful tool that allows you to connect with live Shopify data, directly from Microsoft Excel.

Use Excel to read, write, and update Shopify Customers, Products, Orders, Transactions, etc. Perfect for mass imports / exports / updates, data cleansing & de-duplication, Excel based data analysis, and more!

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Excel Spreadsheet Automation with the QUERY Formula


Pull data, automate spreadsheets, and more with the QUERY formula.

The CData Excel Add-In for Shopify provides formulas that can edit, save, and delete Shopify data. The following three steps show how you can automate the following task: Search Shopify data for a user-specified value and then organize the results into an Excel spreadsheet.

The syntax of the CDATAQUERY formula is the following: =CDATAQUERY(Query, [Connection], [Parameters], [ResultLocation]);

This formula requires three inputs:

  • Query: The declaration of the Shopify data records you want to retrieve or the modifications to be made, written in standard SQL.

  • Connection: Either the connection name, such as ShopifyConnection1, or a connection string. The connection string consists of the required properties for connecting to Shopify data, separated by semicolons.

    To make use of all the features of the data provider, provide the AppId, Password, and ShopUrl connection properties.

    To obtain these values, see the Getting Started section in the help documentation to register the data provider as an application with Shopify.

  • ResultLocation: The cell that the output of results should start from.

Pass Spreadsheet Cells as Inputs to the Query

The procedure below results in a spreadsheet that organizes all the formula inputs in the first column.

  1. Define cells for the formula inputs. In addition to the connection inputs, add another input to define a criterion for a filter to be used to search Shopify data, such as FirstName.
  2. In another cell, write the formula, referencing the cell values from the user input cells defined above. Single quotes are used to enclose values such as addresses that may contain spaces.
    3. =CDATAQUERY("SELECT * FROM Customers WHERE FirstName = '"&B4&"'","AppId="&B1&";Password="&B2&";ShopUrl="&B3&";Provider=Shopify",B5)
  3. Change the filter to change the data.