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Connector Improvement: Access to attributed_staff Data in Shopify Connector

Completed
Tommy Tan User

One of our business users requires access to the attributed_staff data from Shopify. I’ve reviewed the current Shopify connector and ERD, and it appears that this field is not currently available.

From Shopify’s GraphQL API and the JSON page, this information is surfaced within the Order Line Items table (see attached screenshot). The id shown corresponds to the correct user_id that our business user needs.

This data is important because our business user attributes staff users to orders through the Shopify POS system (reference: Shopify POS Sales Attribution).

 

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Comments

2 comments

Date Votes
  • Official comment
    Sandeep Preetam Saila User

    Hi Tommy,

    The staff_member_id field is now in the ORDER_LINE table of the Shopify GraphQL schema. We're rolling out this schema gradually. If you need access sooner, we can enable it on your new Shopify connections. Let me know if you'd like this done.

    Best,  
    Sandeep

  • Sandeep Preetam Saila User

    Hi Tommy,

    We just introduced a GraphQL Schema toggle in the Shopify connector setup flow. Enabling this toggle allows you to create a new Shopify connection using our GraphQL schema, which provides access to many newer Shopify fields and tables that are not available in the Legacy schema.

    Since the requested field/table is available only in the GraphQL schema, it will not appear in an existing Legacy schema connection. To sync this data, you'll need to create a new Shopify connection with the GraphQL Schema toggle enabled. Existing connections cannot be switched from the Legacy schema to the GraphQL schema.

    Before creating a new connection, we recommend reviewing the following documentation:

    Since the requested field/table is now supported through the GraphQL schema, we are considering this feature request complete. If you have any questions about setting up a new GraphQL schema connection, please let us know.

    Best
    Sandeep