Shopify Google Sheets Integration: Export & Sync Data (2025)

Google Sheets integration enables custom reporting, data analysis, and team collaboration with your Shopify data. This guide covers all connection methods.

Shopify

integrates with

Google Sheets

Analytics

2025 Snapshot

Related: connect Shopify with Zapier, Shopify Google Analytics 4 Integration: Complete Setup Guide (2025), Internal Link Finder.

Why Connect Shopify to Google Sheets?

Benefits of sheets integration:

Common exports:

• Daily/weekly order summary
• Product performance report
• Customer list with history
• Inventory tracking
• Financial reconciliation

Integration Methods

Related: Shopify Slack Integration: Real-Time Store Notifications (2025).

Method 1: Zapier (Easiest)

Best for: Automatic order/customer sync

Pros:

• No coding required
• Real-time sync
• Reliable

Cons:

• Task limits on free tier
• Per-row sync (not bulk)

Method 2: Dedicated Apps

Options: Sheetgo, Coefficient, EZ Exporter

Best for: Bulk exports, scheduled reports

Pros:

• Bulk data export
• Scheduled sync
• Two-way sync (some)

Cons:

• Monthly fees
• Learning curve

Method 3: Google Apps Script

Best for: Custom solutions, developers

Pros:

• Free
• Fully customizable
• Direct API access

Cons:

• Requires coding
• Maintenance needed

Data Modeling in Google Sheets

Before you sync anything, decide what level of detail (grain) you want in Sheets. Most problems (duplicates, slow sheets, confusing dashboards) come from mixing grains in one tab.

Recommended structure: keep a “raw” tab for each dataset (append-only), then build dashboards/pivots in separate tabs. When you change column order or rename headers, most automations break—so treat your raw schema like an API contract.

Scaling Notes for Larger Stores

For small stores, a per-order Zap is simple and reliable. For larger stores (or when you need backfills), you’ll want a more robust approach:

• Avoid duplicates: always store order_id (or order_number) and dedupe before insert. If your tool supports “find or create”, use it.
• Backfills: export historical windows (e.g., last 90 days) in batches and stamp each row with synced_at so you can audit what was imported.
• API limits and pagination: Apps Script or custom code should use incremental sync (since last run) and paginate results. Don’t fetch “all orders” every hour.
• Sheet performance: archive old rows monthly/quarterly, and keep your dashboard formulas referencing smaller ranges when possible.

Security note: if you’re using API-based sync, create a dedicated Shopify custom app with the smallest required scopes (for example, read-only access to orders/products). Don’t hardcode API keys in a shared spreadsheet—store credentials in script properties and rotate tokens if you suspect exposure.

Zapier Setup

Step 1: Create Zap

1. Go to zapier.com
2. Create new Zap
3. Choose Shopify trigger

Step 2: Configure Trigger

Popular triggers:
├── New Order → Track all orders
├── New Paid Order → Only completed
├── New Customer → Customer list
├── Updated Order → Order changes
└── New Product → Product catalog

Step 3: Add Google Sheets Action

1. Select Google Sheets
2. Choose “Create Spreadsheet Row”
3. Connect Google account
4. Select spreadsheet and sheet

Step 4: Map Fields

Field mapping example:
Shopify Field → Sheet Column
───────────────────────────
Order Number → A
Customer Name → B
Email → C
Total → D
Products → E
Date → F

Step 5: Test and Activate

1. Test with sample data
2. Verify row appears in sheet
3. Turn on Zap

Apps for Google Sheets

Sheetgo

Scheduled data sync:

Coefficient

Live data connection:

EZ Exporter

Shopify-focused exports:

Building Reports

Order Summary Report

Columns:
A: Date
B: Order Count
C: Revenue
D: Average Order Value
E: Refunds
F: Net Revenue

Formula examples:
Revenue: =SUMIF(Orders!D:D,A2,Orders!E:E)
AOV: =C2/B2

Product Performance

Columns:
A: Product Name
B: Units Sold
C: Revenue
D: Avg Sale Price
E: Return Rate
F: Profit Margin

Customer Analytics

Columns:
A: Customer Segment
B: Count
C: Total Spent
D: Avg Order Value
E: Order Frequency
F: LTV Estimate

Google Apps Script Method

Basic Order Export Script

function getShopifyOrders() {
  const sheet = SpreadsheetApp.getActiveSpreadsheet().getSheetByName('Orders');
  const apiKey = 'your-api-key';
  const password = 'your-password';
  const store = 'your-store.myshopify.com';

  const url = `https://${apiKey}:${password}@${store}/admin/api/2024-01/orders.json?status=any`;

  const response = UrlFetchApp.fetch(url);
  const orders = JSON.parse(response.getContentText()).orders;

  orders.forEach(order => {
    sheet.appendRow([
      order.name,
      order.created_at,
      order.customer?.email,
      order.total_price,
      order.financial_status
    ]);
  });
}

Scheduled Trigger

function createTrigger() {
  ScriptApp.newTrigger('getShopifyOrders')
    .timeBased()
    .everyHours(1)
    .create();
}

Two-Way Sync

Updating Shopify from Sheets

Use cases:

• Bulk price updates
• Inventory adjustments
• Product descriptions
• Tags and collections

Methods

Matrixify app:

• Import/export via Excel/Sheets
• Bulk operations
• Scheduled imports

Custom Apps Script:

• API calls to update Shopify
• Custom logic
• Requires development

Best Practices

Data Organization

Spreadsheet structure:
├── Dashboard (summary view)
├── Orders (raw data)
├── Products (catalog)
├── Customers (CRM data)
├── Inventory (stock levels)
└── Reports (analysis sheets)

Naming Conventions

• Use clear sheet names
• Date format: YYYY-MM-DD
• Consistent column headers
• Add data validation

Performance

• Limit historical data
• Archive old data
• Use efficient formulas
• Regular cleanup

Common Formulas

Revenue Calculations

Total Revenue:
=SUM(D:D)

This Month:
=SUMIFS(D:D,A:A,">="&DATE(YEAR(TODAY()),MONTH(TODAY()),1))

By Product:
=SUMIF(E:E,"Product Name",D:D)

Date Formulas

Orders Today:
=COUNTIF(A:A,TODAY())

Last 30 Days:
=COUNTIFS(A:A,">"&(TODAY()-30))

Analytics

Average Order Value:
=AVERAGE(D:D)

Customer LTV:
=SUMIF(Customers!B:B,A2,Orders!D:D)

Troubleshooting

Data Not Syncing

Causes:

• Connection broken
• API rate limits
• Credential expired

Solutions:

1. Reconnect accounts
2. Check Zapier status
3. Verify API access
4. Review app settings

Duplicate Data

Causes:

• Zap running twice
• Missing deduplication

Solutions:

1. Add order ID column
2. Use conditional checks
3. Implement unique constraints

Slow Performance

Causes:

• Too much data
• Complex formulas
• Large sheets

Solutions:

1. Archive old data
2. Simplify formulas
3. Split into multiple sheets
4. Use Google Sheets limits wisely

Alternatives

Next Steps

After setup:

1. Start with orders - Most common use case
2. Build dashboard - Summary view
3. Add formulas - Calculate metrics
4. Schedule reports - Weekly/monthly
5. Share with team - Collaborate

# List the 5 most recent orders (GraphQL)
curl -X POST "https://your-store.myshopify.com/admin/api/2025-01/graphql.json" \
  -H "X-Shopify-Access-Token: $SHOPIFY_ADMIN_TOKEN" \
  -H "Content-Type: application/json" \
  -d "{\"query\":\"{ orders(first: 5, sortKey: CREATED_AT, reverse: true) { edges { node { id name createdAt totalPriceSet { shopMoney { amount currencyCode } } customer { email } } } } }\"}"

For more automation, see Shopify Zapier integration. For accounting exports, check QuickBooks integration.

Sources

• SyncWith Google Sheets, Looker (Shopify App Store listing)
• Shopify + Google Sheets integration (Zapier)
• Zapier Pricing
• Shopify Help Center: Export orders