Each location refers to the address of a business' headquarters, retail stores, and pop-up stores. Retrieve the locations that a merchant has set up from their Shopify admin. Shopify Inventory Level Data Dictionary Location ![]() Each inventory level is associated to a single inventory item and location. Get or update the inventory level of an inventory item at a location. Shopify Inventory Item Data Dictionary Inventory Level List or update the inventory of a variant's inventory item.Each variant can have one inventory item, and each inventory item can have many locations.Each location can have many inventory items for many variants. ![]() Shopify Events Data Dictionary Inventory Inventory Item Shopify Discount Price Rule Data Dictionary Events EventsĮvents are generated by some Shopify resources when certain actions are completed, such as the creation of an article, the fulfillment of an order, or the addition of a product. You use entitlements and prerequisites to dynamically build these discounts. Using the PriceRule resource, you can create discounts that specify a discount as a percentage, a fixed amount, or free shipping. Shopify Discount Code Data Dictionary Discount Price Rule Merchants can distribute discount codes to their customers using a variety of means, such as an email or URL, and customers can apply these codes at checkout. Shopify Customer Saved Search Data Dictionary Discounts Discount Code Shopify Customers Data Dictionary CustomerSavedSearchĪ customer saved search is a search query that represents a group of customers defined by the shop owner. ![]() The Customer Endpoint contains information about a store's customers, including their addresses and whether they have an active customer account with the store. In the case of the billing_address data for an order, if you use the default destination, then Panoply would create a table called shopify_orders_billing_address to store the billing address information associated with the orders stored on the shopify_orders table. This is the classic solution for nested structures in relational databases, where the nested model is transformed into several flat tables that can be joined together. By default, Panoply transforms nested data into a set of many-to-many or one-to-many relationship tables. For complete information regarding the Shopify REST API, see Shopify's REST Admin API reference documentation.īecause some Shopify data is nested, such as the billing address details for an order (see the Order properties for details), you should be aware of what Panoply does with nested data. This article explains the details of that integration. Panoply uses Shopify's REST Admin API to ingest data into your Panoply data warehouse.
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