dataclean.to

Clean BigCommerce Product Export Data

✓ Tested Works with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12

BigCommerce stores accumulate product data issues as catalogs grow: variant option values become inconsistent, custom fields contain mixed formats, and product descriptions carry over formatting from copy-paste imports. dataclean.to processes your BigCommerce CSV export and fixes these issues so your catalog data is clean whether you are migrating, syncing, or analyzing your products.

The Problem

BigCommerce product exports use a flat CSV structure where variants repeat parent product data across rows. Option values like sizes ('S', 'Small', 'SM') vary by who entered them. Custom field names are inconsistent across products. Weight and dimension fields mix metric and imperial units. Product images reference both BigCommerce CDN URLs and original source URLs, and some links are broken. BigCommerce product import/export documentation

How to Fix It

1
Export products from BigCommerce
Go to BigCommerce admin, navigate to Products, and export your catalog as a CSV file. Include all product fields, variants, custom fields, and images.
2
Upload to dataclean.to
Import the BigCommerce CSV. The platform recognizes BigCommerce's export format including variant rows, option columns, and custom field structures.
3
Normalize variant options
Standardize size values (S/M/L vs Small/Medium/Large), color names, and other option values so each variant uses consistent naming across your catalog.
4
Fix custom fields and units
Ensure custom field names are uniform across all products. Convert weights and dimensions to a single unit system. Validate image URLs and flag broken links.
5
Export clean BigCommerce data
Download a cleaned CSV compatible with BigCommerce's import format. Re-import to update your catalog, or use the cleaned data for migration to another platform.

Frequently Asked Questions

Will the cleaned CSV work with BigCommerce's import tool?
Yes. dataclean.to preserves BigCommerce's expected column structure and format. The cleaned CSV can be re-imported through BigCommerce admin's product import without manual column mapping.
How are product variants handled in the cleaning?
BigCommerce exports variants as separate rows linked by Product ID. dataclean.to maintains these relationships while normalizing option values, prices, and weights across all variant rows.
Can I clean BigCommerce data for migration to Shopify?
Yes. After cleaning, you can export the data in a format compatible with Shopify's product import CSV. The key product fields (title, description, price, SKU, variants) map between platforms.

Example: Input → Output

nameskupricebrandrating
Wireless Headphones ProWHP-001$89.99SoundTech4.5
wireless headphones proWHP00189.99soundtech4.5/5

Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Wireless Headphones Pro",
  "sku": "WHP-001",
  "offers": {"@type": "Offer", "price": "89.99", "priceCurrency": "USD"},
  "brand": {"@type": "Brand", "name": "SoundTech"},
  "aggregateRating": {"@type": "AggregateRating", "ratingValue": "4.5"}
}
💡 How it works: Product schema enables rich results with price, availability, and star ratings in Google Shopping.

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