How to map attributes - Migrate/Synchronize Shopify data

Created by Nicolas Wussler, Modified on Wed, 17 Aug 2022 at 04:11 PM by Igor Galic

Step 1: 


Login to your SyncSpider account and click on ‘create a new task’ located at the upper right side of the screen as shown below.


Step 2: 


Search for ‘Shopify’ application in the search box, enter the integration name, description and click on ‘next’.


Step 3: 


Copy the Shop URL, API and password from your Shopify account and click ‘finish’.




Note : You can now more about integrating Shopify with SyncSpider easily by following this link here. 


Step 4:  


Now, to set up the 'source integration', select what you want to get from source from the drop-down list. Here, we are selecting ‘product’. Click ‘next’.


Step 5:  


Now, we need to select the 'target integration'. The target can be anything ranging from a Google Sheet, Prestashop etc.


Step 6: 


We do not need to filter any data, so we click ‘next’ to move to the next step.  


Step 7: 


Now, we will configure the target. For this, we will upload the file with the attributes, enter a suitable name and then add columns which we need.


Step 8:


We will add the columns we need (you can add the columns as per your need, as its Shopify, we will add the ones displayed here) and then click ‘next’.


Step 9: 

Now, we will map the fields as shown to match it. 


In Shopify there are separate SKUs for each size(shown below) as compared to other shopping platforms which have subcategory for sizes, but not separate SKU. 


Thus, for the SKU field to be mapped, we will click the ‘inventory (collections)’ as it would be having all the fields for it and select ‘SKU’ from it.


As it’s a collection field, we will select the corresponding field as shown and map for the rest of the elements, and click ‘next’.


Step 10: 


Now, we will enter a suitable task name, set the trigger as 'hourly' and click ‘finish’.



Step 11: 


We will execute the task now, by clicking on the ‘activate task’ symbol.


Step 12: 


After the task gets successfully executed, we can view the excel file now with the fields we need and the entries accordingly.


Thus, the attributes are mapped successfully.




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