BigCommerce Orders CSV Validator

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Validate Complete

Validation Report Format
valid rows

Check your BigCommerce orders CSV export for errors before importing to accounting software. Detect missing columns, invalid data, and formatting issues.

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Download Correct Sample

Example valid BigCommerce orders CSV

Download Correct Sample

Download Error Sample

Example with intentional validation errors

Download Error Sample

Tool Rating

4.8 / 5 (34 votes)

Validation Questions Answered

What does this validator check?

It validates against BigCommerce's standard order export schema: required columns (order_id, customer_email, date_created, total), valid order statuses, numeric amounts without currency symbols, valid date formats, and email format. Also checks for zero quantities and negative totals.

What if I use a custom export template?

The validator checks for minimum required columns. If your custom template doesn't include order_id, customer_email, or date_created, validation will fail. Add those columns to your BigCommerce export template.

Can I validate before converting to QuickBooks?

Yes, that's the recommended workflow. Validate your BigCommerce export first, fix any errors, then use our converter tools to transform to QuickBooks format. This prevents conversion failures.

How Validation Works

1

Export from Bigcommerce

Admin → Orders → Export Orders

2

Upload CSV

Upload your Orders Export export file

3

Review Validation Results

Check your Bigcommerce data for errors and warnings

Issues are flagged inline with clear fix suggestions — review and correct before you import.

How People Use This

Our BigCommerce store uses a custom export template and we kept getting silent failures when importing to NetSuite. The validator caught that our template was missing the customer_email column entirely. One check saved us from a batch of 800 orders importing without customer attribution.

Priya T.
E-commerce Manager · 1,200 orders/month

I run pre-flight validation on every BigCommerce orders export before it enters our data pipeline. Last month it flagged 23 rows with zero-quantity line items and 5 orders with currency symbols in the total column. Those would have broken our QuickBooks import and thrown off inventory counts.

Aaron D.
Data Analyst · validates exports across 3 storefronts

I was burned by a BigCommerce export that had invalid date formats on 60 orders — QuickBooks accepted them but posted everything to January 1st. Now I validate every file first. The tool checked 3,400 orders last quarter and caught 11 date format errors before they became an accounting mess.

Janet W.
Accountant · reconciles $450K monthly in orders

Why Validate BigCommerce Exports?

Export Template Variations

BigCommerce allows custom export templates with different column sets. Before converting to QuickBooks or NetSuite, validate that your template includes all required fields: order_id, customer_email, date_created, total.

What Gets Validated

This tool checks your BigCommerce export against expected schema: - Required columns exist (order_id, customer_email, date_created) - Valid order status values - Numeric amounts (no currency symbols) - Valid date formats - Customer email format - Non-zero quantities for line items

Your Data Stays Private During Validation

Every Row Checked

Each record is validated against format rules. Catch errors before they reach your platform.

Runs in Your Browser

Validation happens locally. Your data never leaves your browser.

GDPR Compliant

No files uploaded, no data retained. Full EU privacy compliance.

More credits - more savings

Buy bundles and get up to 60% off. Perfect for recurring monthly conversions.

Why Validate Before Importing?

Required Column Check

Verifies order_id, customer_email, date_created, and total columns exist

Status Validation

Checks order status against BigCommerce valid values

Amount Validation

Ensures totals and line items are valid positive numbers

Email Format Check

Validates customer email addresses have proper format

Row-Level Errors

Shows exactly which rows have issues with specific error codes

Export Locally

Download validation report as CSV for your records

Common Target Import Errors

Issues you might encounter when importing Source data to Target - and how we solve them

Missing Order ID

The 'order_id' column is required for order identification

(blank order_id)
1001

Order ID is auto-generated; ensure export includes ID column

Re-export from BigCommerce with ID column included

Invalid Order Status

Order status not in recognized values

status: 'Delivered' (invalid)
status: 'Completed' (valid)

BigCommerce uses specific status values

Valid statuses: Pending, Awaiting Payment, Awaiting Fulfillment, Shipped, Completed, Cancelled

Invalid Customer Email

Customer email format is invalid

email: 'invalid-email' (no @)
email: 'customer@example.com'

Email must be valid format with @ and domain

Verify customer email addresses in BigCommerce

Negative Order Total

Order total is negative (unusual for forward sales)

order_total: -100.00
order_total: 100.00

Check for data export errors or refund orders

Refunds should be handled separately, not as negative orders

Zero or Negative Quantity

Line item quantity is zero or negative

quantity: 0
quantity: 1

Quantity must be positive integer

Check product quantities in order details

Invalid Date Format

Date created is not in valid datetime format

date_created: 'INVALID-DATE'
date_created: '2025-01-15 14:30:00'

Date must be YYYY-MM-DD HH:MM:SS format

Ensure BigCommerce export includes proper date format

Frequently Asked Questions

Your data never leaves your device. All files are processed entirely in your browser using client-side JavaScript - no data is stored on our servers or sent anywhere. There's no account to hack, no database storing your files, and no API connections to your bank or accounting software. You upload, convert, download, and we forget it immediately.
No payment or signup required. You can upload your file, see a free preview of the conversion results, and verify everything looks correct before paying anything. If it doesn't work for your files, you haven't wasted any money. We only charge when you're satisfied and ready to download the final converted file.
You can, but free scripts and AI often miss edge cases that break real-world data: missing SKUs, currency formatting quirks, tax calculation errors, or date format mismatches. We have battle-tested validators specifically designed for accounting software imports that catch these issues before they corrupt your books. Plus, you get instant browser-based conversion without installing Python or managing dependencies.
It validates against BigCommerce's standard order export schema: required columns (order_id, customer_email, date_created, total), valid order statuses, numeric amounts without currency symbols, valid date formats, and email format. Also checks for zero quantities and negative totals.
No, this is a validator only. It identifies errors and tells you which rows have problems. You need to fix the data in BigCommerce (or edit the CSV manually), then re-export and re-validate.
The validator checks for minimum required columns. If your custom template doesn't include order_id, customer_email, or date_created, validation will fail. Add those columns to your BigCommerce export template.
Yes, that's the recommended workflow. Validate your BigCommerce export first, fix any errors, then use our converter tools to transform to QuickBooks format. This prevents conversion failures.
Missing data usually occurs when columns are in the wrong order or the template isn't configured for multiple product types. Use 'Create one row per sub item' setting for orders with multiple products.
Keep CSV files under 512MB and ideally under 1,000 lines per file to avoid processing failures or stuck exports.
No, BigCommerce doesn't support importing orders via CSV. Orders are export-only; you can only import tracking information (order number, tracking number, carrier).
Special characters like semicolons and non-standard symbols can corrupt CSV formatting. Ensure your data contains only standard alphanumeric characters and basic punctuation.
Use 'Date Modified' for more reliable order capture, as it updates immediately when orders are placed. 'Date Added' may miss orders not yet marked for fulfillment.
No, BigCommerce datestamps export data, so files exported on one date won't import again even with no changes. Create fresh exports each time.