Data Overview
Coupler.io's Shopify source pulls structured e-commerce data directly from your Shopify store via the GraphQL API. You select one data entity per data flow and choose which columns to include (for order-related entities).
What data is available?
Entities are organized into two groups.
Basics
Orders
Order-level data — totals, status, customer info, payment gateway, tags
Daily sales reports, revenue dashboards
Products
Product catalog — title, vendor, status, published/updated dates
Product management, catalog sync
Inventory
SKU-level stock quantities across locations
Inventory tracking, reorder alerts
Customers
Customer records — name, email, total spent, last order info
Customer lists, marketing segments, CRM sync
Order & product breakdowns
Products with variants
Products split by variant — one row per variant with price, SKU, inventory
Variant-level pricing, SKU analysis
Orders with line items
Orders split by line item — one row per product in each order
Product sales analysis, SKU-level reporting
Order fulfillments with line items
Orders with fulfillment details — tracking info, delivery dates, line items
Shipping and logistics tracking
Orders with shipping lines
Orders with shipping method details — carrier, cost, delivery category
Shipping cost analysis
Orders refunds transactions
Orders with refund and transaction details — refund amounts, gateway, status
Refund analysis, financial reconciliation
Column selection
For all order-related entities (Orders, Orders with line items, Order fulfillments, Orders with shipping lines, Orders refunds transactions), you can choose exactly which columns to include. Columns are organized into groups:
Order
All order entities
Order name, Created at, Financial status, Fulfillment status, Tags, Discount codes
Customer
All order entities
Customer name, Amount spent
Billing address
All order entities
Country
Customer journey
All order entities
Customer order index, Days to conversion
Order totals in shop currency
All order entities
Current order total, Net payment, Discounts, Tax, Shipping, Duties
Line items
Orders with line items
SKU, Quantity, Line item name
Line items totals
Orders with line items
Discounted total, Original total, Unit price
Fulfillment
Order fulfillments
Fulfillment name, Status, Created/Delivered/In-transit dates, Tracking info
Fulfillment line item
Order fulfillments
Line item name, SKU, Quantity, Unfulfilled quantity
Shipping line
Orders with shipping lines
Code, Title, Source, Delivery category
Shipping line totals
Orders with shipping lines
Original price, Discounted price
Refund
Orders refunds transactions
Refund created at, Note, Total refund amount
Refund transaction
Orders refunds transactions
Account number, Gateway, Status, Amount
The Store name, Entity ID (e.g., Order ID), and Updated At columns are always included regardless of your column selection.
Filtering parameters
Created after / before
Filter by record creation date
All entities except Inventory
Changed after / before
Filter by last update date
All entities
Filter after ID
Export records with ID greater than a value
All entities except Inventory
Status
Filter orders by status (Any, Open, Closed, Cancelled)
Order entities
Financial status
Filter by payment status (Paid, Pending, Refunded, etc.)
Orders, Orders with line items, Orders with shipping lines, Order fulfillments
Fulfillment status
Filter by fulfillment (Shipped, Unshipped, Partial, etc.)
Orders, Orders with line items, Orders with shipping lines, Orders refunds transactions
Product status
Filter by product status (Active, Archived, Draft)
Products, Products with variants
Common data combinations
Daily sales dashboard
Orders
Created after = last 30 days, Financial status = Paid
Product-level sales report
Orders with line items
Select SKU, Quantity, and Line item totals columns
Refund analysis
Orders refunds transactions
Financial status = Refunded or Partially refunded
Inventory snapshot
Inventory
Changed after = yesterday for recent changes
Shipping performance
Order fulfillments with line items
Select Fulfillment status, Delivered at, In transit at
Customer lifetime value
Customers
Default columns include Total spent and Last order
Use cases by role
Track daily revenue, average order value, and top-selling products. Use Orders with line items to build SKU-level sales reports. Combine with advertising data (Facebook Ads, Google Ads) to calculate true ROAS by matching order revenue to ad spend.
Monitor fulfillment status and shipping timelines using Order fulfillments with line items. Track inventory levels across locations with the Inventory entity. Set up daily refreshes to catch stock-outs early.
Reconcile order totals, refunds, and net payments using Orders refunds transactions. Export to BigQuery or Google Sheets for month-end close. Use date filters to scope each run to the relevant period.
Build customer segments using the Customers entity — filter by total spent, order count, or recency. Use the Customer journey columns (Days to conversion, Customer order index) to analyze first-time vs. repeat buyer behavior.
Platform-specific notes
GraphQL vs. REST — The current Shopify source uses Shopify's GraphQL API. Legacy sources (REST-based) are deprecated and labeled "Shopify (legacy)" in the UI. Some column names differ between versions — see the migration article if you're switching.
Column selection — Only available for order-related entities. Products, Inventory, and Customers always return all available columns.
Customer journey data — New in v4. Includes Customer order index (is this their 1st, 2nd, 5th order?) and Days to conversion. Available in all order entities.
Shopify reports and analytics are not available — Coupler.io pulls raw entity data from Shopify, not Shopify's built-in reports or analytics dashboards. Metrics like conversion rate, sessions, and traffic sources are not accessible via the Shopify API.
Metafields — Standard product and variant fields are included. Custom metafields (e.g., wholesale price, custom attributes) are not currently available as separate columns in the export.
Date filter timezone — Date filters use your browser's timezone, not Shopify's store timezone. If they differ, orders near the day boundary may appear in unexpected date ranges.
Test orders — By default, test orders created by Shopify's Bogus Gateway are included in exports. Filter them out using the "Is Test Order?" column in your destination or transformations.
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