How to Automatically Sync Shopify Orders to Google Sheets with Make and XPA

Introduction

If you run an online store on Shopify, you probably spend too much time exporting orders to a spreadsheet and manually reformatting data for the team. The pain is real: order details arrive by email, data is copied blind from one system to another, and reporting lags behind. With Cross-Platform Automation (XPA) you can connect Shopify directly to Google Sheets, so every new order automatically appears in a sheet in the right format. By the end of this guide you will have a working Make workflow that eliminates hours of manual admin every week.

This post shows a practical, no-fluff setup you can copy for your store. You’ll learn how to trigger on a new Shopify order, map essential fields to a Google Sheet, and keep a clean sheet with minimal maintenance. This is the kind of automation I build daily for clients who demand fast, reliable data without touching the code. And yes, this is exactly the sort of workflow we call Cross-Platform Automation (XPA). You can read more about XPA here: Cross-Platform Automation (XPA).

What You’ll Need

• A Shopify store with a paid plan that supports webhooks or order events
• A Google account with a Google Sheet ready to receive data
• A Make.com account with a standard plan sufficient for the workflow (free tier may be limiting depending on run frequency)
• Basic permission to create apps and connections in Shopify and Google Sheets

How It Works (The Logic)

Trigger: A new order is created in Shopify. Action 1: Make reads the order details and formats the data. Action 2: Make writes a new row in Google Sheets with key fields such as order_id, customer_name, total_price, currency, line_items, shipping_address, and order_status. Optional Action 3: Send a Slack notification or email digest when a new order is added. The flow is simple but powerful: Shopify → Make → Google Sheets, with an optional alert to your team.

Step-by-Step Setup

1. Create a new scenario in Make.com and name it Shopify Orders to Sheets. 2) Add Shopify as the trigger module. Choose the trigger event New Order. Connect your Shopify account and select the store. 3) Add a Google Sheets module and choose Create a Row. Connect your Google account and select the target spreadsheet and worksheet. 4) Map fields from Shopify to Google Sheets. Common mappings include:

• order_id → A2 (or a dedicated column labeled Order ID)
• created_at → B2 (Date/Time column)
• customer_full_name → C2
• total_price → D2
• currency → E2
• order_status → F2
• line_items → G2 (you may need to convert to a clean string, or expand into multiple columns if you want itemized lines)
• shipping_address → H2 (or create separate columns for street, city, country)

5. If you want an alert, add a Slack or Email module as a post-action. For Slack, post to a channel like #store-orders with a concise summary template: “New Shopify order {order_id} from {customer_name} for {total_price} {currency}.” 6) Set up a data format check to keep your sheet clean. For example, ensure total_price is numeric and not empty before appending.
6. Turn on the scenario and run a test with a real or sandbox order. Check that the new row appears with correctly mapped fields and no extra columns. 8) Add a refresh or retry policy in Make to handle transient API hiccups. 9) Optionally, protect the sheet with proper permissions so only Make’s service account can append rows. 10) Document the workflow in your internal playbook so teammates know where Shopify orders land and how to troubleshoot.

Common gotchas:

• Field formats: Shopify uses string representations for some fields. Normalize dates and prices in the Make module before writing to Sheets.
• Line items complexity: If you sell multiple items per order, decide whether to store a simple concatenated line item list or expand into multiple rows per order.
• Timezone alignment: Shopify timestamps are in UTC by default. Convert to your local timezone if your reporting relies on local times.
• Permissions: The Google Sheets connection must have write access to the target sheet; otherwise the scenario will fail at the Create Row step.

Real-World Business Scenario

A fashion retailer used Shopify → Make → Google Sheets to replace manual exports. Before, their ops team spent 45 minutes daily exporting orders and reconciling with the e commerce backend. After implementing this simple XPA, new orders auto-populated into a master sheet, with Slack alerts for high-value orders. The result was a dramatic reduction in manual work and faster order visibility for the warehouse team.

Common Variations

• Extend the workflow to automatically create a summary row in a separate Google Sheet that aggregates daily orders by status.
• Add a second step to push order data into a Zapier or Notion database for a more comprehensive CRM view.
• Use a filter to only log orders above a certain value or from specific products.

Keeping It Live and Up to Date

This setup demonstrates a straightforward, reliable XPA that keeps data in sync across Shopify and Google Sheets with Make. If you need a more advanced version, we routinely tailor these flows to include tax calculations, discount reconciliation, or shipment tracking updates.

Olmec Dynamics builds these exact automations for businesses every day. If you want a tailor-made version for your store, we can design and implement it for you. Learn more at Olmec Dynamics.