Skip to content

Exporting Order Data

Export order information for accounting, analysis, reporting, and compliance purposes.

Why export orders:

  • 📊 Financial reporting and accounting
  • 📈 Sales analysis and trends
  • 📋 Customer data management
  • 🧾 Tax documentation
  • 🔍 Audit and compliance
  • 📬 Email marketing lists
  • 💼 Business intelligence

  1. Go to Orders page
  2. Apply filters (optional):
    • Date range
    • Status
    • Product
    • Customer
  3. Click Export button
  1. Choose format:

    • CSV (Excel/spreadsheet)
    • JSON (developer/API)
    • PDF (report/printing)
  2. Download file


CSV (Comma-Separated Values):

Best for: Excel, Google Sheets, accounting software
Opens in: Microsoft Excel, Numbers, Google Sheets
File size: Small
Encoding: UTF-8

JSON (JavaScript Object Notation):

Best for: Developers, API integrations, custom tools
Opens in: Code editors, API tools
File size: Medium
Use case: Technical analysis, automation

PDF (Portable Document Format):

Best for: Reports, printing, sharing
Opens in: Any PDF reader
File size: Large
Use case: Management reports, presentations

Example CSV export:

Order Number,Date,Customer Name,Customer Email,Product,Status,Downloads,Total,Files
#1045,2024-01-15 15:42,John Smith,john@example.com,Course Bundle,Approved,2/5,$49.99,5
#1046,2024-01-15 16:20,Jane Doe,jane@example.com,Template Pack,Approved,1/5,$29.99,3
#1047,2024-01-16 09:15,Bob Johnson,bob@example.com,eBook,Pending,0/5,$19.99,1

Standard columns included:

Order Information:

  • Order Number
  • Order Date
  • Order Time
  • Order Total
  • Currency

Customer Information:

  • Customer Name
  • Customer Email
  • Customer ID (Shopify)
  • Customer Since
  • Total Customer Orders

Product Information:

  • Product Name(s)
  • Product SKU
  • Variant
  • Quantity
  • Price

Download Information:

  • Download Status
  • Downloads Used/Limit
  • Link Created Date
  • Link Expiry Date
  • Days Until Expiry
  • Last Download Date
  • Total Downloads

Files:

  • Number of Files
  • Total File Size
  • File Names (comma-separated)

Status & Fraud:

  • Order Status
  • Fraud Risk Level
  • Fraud Score
  • Approval Date
  • Approved By

Microsoft Excel:

  1. Open Excel
  2. File → Open
  3. Select CSV file
  4. Data imports automatically

Google Sheets:

  1. File → Import
  2. Upload CSV
  3. Import data

Issues with special characters:

Ensure UTF-8 encoding selected
Fixes: é, ñ, ü, etc.

Example JSON export:

[
{
"order_number": "1045",
"date": "2024-01-15T15:42:00Z",
"customer": {
"name": "John Smith",
"email": "john@example.com",
"id": "123456789"
},
"products": [
{
"name": "Complete Course Bundle",
"price": 49.99,
"quantity": 1
}
],
"download": {
"status": "approved",
"downloads_used": 2,
"downloads_limit": 5,
"link_expires": "2024-03-15T15:42:00Z"
},
"files": [
{
"name": "01-Introduction.pdf",
"size": 15728640
}
]
}
]

API Integration:

Import into custom CRM
Feed data to analytics platform
Automate reporting workflows

Data Analysis:

Python/R scripts
Data science workflows
Machine learning

Custom Tools:

Build internal dashboards
Create custom reports
Automate tasks

Professional PDF report includes:

Report sections:

  1. Cover page with date range
  2. Executive summary
  3. Order list table
  4. Charts and visualizations:
    • Orders over time
    • Status breakdown
    • Top products
    • Customer distribution
  5. Detailed order information
  6. Appendix (if needed)

Report options:

Include:
☑ Order summary table
☑ Charts and graphs
☑ Customer details
☐ Download history per order
☐ Fraud analysis details
☑ Company logo/branding

Page layout:

Orientation: Portrait | Landscape
Page size: Letter | A4
Margins: Normal | Narrow | Wide

Choose specific columns:

  1. Click Export Options
  2. Select columns to include:
Order Information:
☑ Order Number
☑ Date
☐ Time
☑ Total
☐ Currency
Customer:
☑ Name
☑ Email
☐ Phone
☐ Address
☐ Customer Since
Downloads:
☑ Status
☑ Download Count
☐ IP Addresses
☐ Device Information
Fraud:
☐ Risk Level
☐ Fraud Score
☐ Indicators
  1. Export with selected columns only

Predefined ranges:

○ Today
○ Yesterday
○ Last 7 days
○ Last 30 days
● Last 90 days
○ This month
○ Last month
○ This year
○ Last year
○ All time
○ Custom range: [From] [To]

Custom range:

From: January 1, 2024
To: January 31, 2024
[Export]

Export matches current filters:

Example workflow:

  1. Filter by:
    Status: Approved only
    Product: Complete Course Bundle
    Date: Last 30 days
  2. Click Export
  3. Export includes only filtered orders
  4. File name reflects filters:
    orders-approved-course-bundle-2024-01.csv

Set up recurring exports:

  1. Go to SettingsExports
  2. Click New Scheduled Export
  3. Configure:
Export Schedule:
Frequency: ○ Daily ● Weekly ○ Monthly
Day: Monday
Time: 9:00 AM (shop timezone)
Export Settings:
Format: CSV
Include: All approved orders
Date Range: Previous 7 days
Delivery:
Email to: accounting@shop.com
Also: Upload to Dropbox (optional)
  1. Save schedule

Automatic email with export:

To: accounting@shop.com
Subject: Weekly Order Export - Jan 15-22, 2024
Attachment: orders-2024-01-15-to-2024-01-22.csv
Body:
Attached is your weekly order export for Jan 15-22, 2024.
Summary:
- Total Orders: 143
- Approved: 138
- Pending: 5
- Total Revenue: $6,842.00
View detailed report: [Link to Dashboard]

Recommended export:

Format: CSV
Columns:
- Order Number
- Date
- Customer Name
- Customer Email
- Product Name
- Order Total
- Status
- Payment Method (from Shopify)
Frequency: Weekly or Monthly
Filter: Approved orders only

Import into:

  • QuickBooks
  • Xero
  • FreshBooks
  • Excel spreadsheets

Tax export setup:

Columns needed:
- Order Date
- Order Number
- Customer Name
- Customer State/Province
- Customer Country
- Product Name
- Order Subtotal
- Tax Charged
- Order Total
- Status
Date Range: Tax year (Jan 1 - Dec 31)
Filter: Approved orders only

Customer list export:

Columns:
- Customer Name
- Customer Email
- Order Count
- Last Order Date
- Total Spent
Purpose: Import into Mailchimp, Klaviyo, etc.
Filter: Approved orders, last 90 days

Analysis export:

Columns:
- Order Date
- Product Name
- Order Total
- Downloads Used
- Customer Email
- Fraud Risk Level
Purpose: Excel pivot tables, BI tools
Date Range: Last 12 months

For 10,000+ orders:

Split exports:

Export 1: Jan 1 - Mar 31 (Q1)
Export 2: Apr 1 - Jun 30 (Q2)
Export 3: Jul 1 - Sep 30 (Q3)
Export 4: Oct 1 - Dec 31 (Q4)

Performance tips:

  • Limit date range to 3 months
  • Export during off-peak hours
  • Use JSON for faster processing
  • Consider database export for very large datasets

System limits:

CSV: Up to 50,000 orders per export
JSON: Up to 50,000 orders per export
PDF: Up to 1,000 orders (performance reasons)
File size: Up to 100 MB
Processing time: Up to 5 minutes

If exceeding limits:

  • Use date ranges to split
  • Export via API (unlimited)
  • Contact support for custom export

For developers:

API endpoint:

GET /api/orders/export
Parameters:
- format: csv|json
- start_date: YYYY-MM-DD
- end_date: YYYY-MM-DD
- status: approved|pending|rejected|all
- limit: 1-50000
- offset: 0

Example request:

Terminal window
curl -X GET \
'https://your-app.com/api/orders/export?format=json&start_date=2024-01-01&end_date=2024-01-31&status=approved' \
-H 'Authorization: Bearer YOUR_API_KEY'

Customer data export:

When customer requests data:
1. Export their specific orders
2. Include all personal data
3. Provide in machine-readable format (CSV/JSON)
4. Deliver within 30 days

Anonymized exports:

For general analysis:
☑ Remove customer names
☑ Hash email addresses
☑ Remove IP addresses
☐ Keep order numbers

Best practices:

  • Don’t email exports with sensitive data
  • Use secure file sharing (encrypted)
  • Delete exports after use
  • Limit access to exports
  • Password-protect sensitive exports

Excel password protection:

File → Info → Protect Workbook → Encrypt with Password

Possible causes:

  • No orders match filters
  • Date range has no orders
  • Export processing failed

Solution:

  • Clear filters
  • Expand date range
  • Try different format
  • Refresh and retry

Possible causes:

  • Too many orders (>50,000)
  • Network timeout
  • Server busy

Solution:

  • Reduce date range
  • Export during off-peak hours
  • Try CSV instead of PDF
  • Contact support

Problem:

Expected: José García
Shows: José GarcÃa

Cause: Encoding issue

Solution:

  • Ensure UTF-8 encoding when opening
  • In Excel: Data → Get Data → From CSV → UTF-8
  • Use Google Sheets (handles UTF-8 automatically)

Excel auto-formatting dates:

CSV: 2024-01-15
Excel shows: 1/15/2024 or 15/01/2024 (depends on locale)

Solution:

  • Format cells as “Text” before import
  • OR accept Excel’s date formatting
  • OR use JSON for consistent formatting

Establish routine:

  • Weekly: Recent orders
  • Monthly: All orders for accounting
  • Quarterly: Analysis and reporting
  • Yearly: Tax reporting

Good file names:

✅ orders-2024-01-15-to-2024-01-31-approved.csv
✅ customer-list-2024-Q1.csv
✅ accounting-export-january-2024.csv

Bad file names:

❌ export.csv
❌ orders(1).csv
❌ data.csv

Keep copies of:

  • Monthly exports (at least 1 year)
  • Annual exports (7+ years for tax)
  • Customer data exports (for compliance)

Storage:

  • Cloud storage (Dropbox, Google Drive)
  • Local backup
  • Accounting software

After export:

  • Spot-check 5-10 random orders
  • Verify totals match dashboard
  • Check date ranges correct
  • Ensure all columns populated

Keep log:

Date: Jan 31, 2024
Export: orders-2024-01.csv
Purpose: January accounting reconciliation
Delivered to: Accountant (email)
Contains: 143 approved orders