dataclean.to

Clean Magento Product Export Data

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

Magento's powerful product catalog system creates complex export files. Configurable products, grouped products, attribute sets, and multi-store views produce CSV files with hundreds of columns and intricate row relationships. dataclean.to parses Magento's export structure and cleans the underlying product data without breaking the relationships that Magento requires for re-import.

The Problem

Magento product exports include columns for every attribute set, leaving most cells empty for any given product type. Configurable product relationships use internal SKU references across rows. Multi-store values create additional rows per product with store-specific overrides. Media gallery URLs are comma-separated in a single column. Custom options export as serialized data. The export format differs between Magento 2 versions, making migration cleanup unpredictable. Magento/Adobe Commerce data export documentation

How to Fix It

1
Export products from Magento admin
Navigate to System > Data Transfer > Export in your Magento admin. Select the Products entity type and export as CSV with all attributes included.
2
Upload to dataclean.to
Import the Magento CSV. The platform recognizes Magento's column structure including attribute sets, configurable product relationships, and multi-store view rows.
3
Clean product attributes
Remove columns that are empty for all products. Normalize attribute values across product types. Fix inconsistent option values in dropdown and multiselect attributes.
4
Fix configurable and grouped relationships
Validate SKU references between configurable parent products and their simple children. Flag orphaned child products. Ensure associated product SKU lists are correctly formatted.
5
Export clean Magento data
Download a cleaned CSV in Magento's expected import format. Re-import to fix data quality issues, or use the cleaned data for migration to another platform.

Frequently Asked Questions

Will the cleaned CSV import back into Magento?
Yes. dataclean.to preserves Magento's import format including required columns, product type identifiers, and attribute set naming. The cleaned CSV can be imported through Magento's standard import tool.
How are multi-store view products handled?
Magento exports create additional rows for each store view with store-specific overrides. dataclean.to maintains this row structure and flags conflicts where store-specific values contradict the default view.
Can I clean Magento data for migration to Shopify?
Yes. After cleaning, you can export a simplified version with standard product fields (title, description, price, images, variants) that maps to Shopify's import format. Magento-specific attributes are preserved for reference but can be excluded from the export.

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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