dataclean.to

Clean Etsy Shop Product Data

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

Etsy shop data reflects the handmade and vintage marketplace's unique structure: listings have tags instead of categories, variations replace traditional product variants, and personalization fields add complexity to order data. dataclean.to processes Etsy CSV exports to normalize these Etsy-specific structures into standard product data fields.

The Problem

Etsy exports include up to 13 tags per listing stored in separate columns, variation options with pricing adjustments that do not appear in the base price column, shipping profiles referenced by ID rather than details, and production partner information embedded in listing data. Personalization options create text fields with buyer-entered content that is difficult to parse. Titles often include SEO keywords separated by commas or pipes rather than natural language. Etsy CSV download help documentation

How to Fix It

1
Download your Etsy shop CSV
Go to Etsy Shop Manager, navigate to Settings, then Options, and download your listings CSV. This includes all active, inactive, and draft listings with their attributes.
2
Upload to dataclean.to
Import the Etsy CSV file. The platform recognizes Etsy's column structure including tag columns, variation fields, and Etsy-specific attributes like who_made and when_made.
3
Normalize tags and titles
Consolidate the 13 tag columns into a clean comma-separated list. Remove keyword stuffing from titles. Standardize capitalization and fix common Etsy title patterns like excessive comma separation.
4
Fix pricing and variations
Calculate final prices by applying variation price adjustments to base prices. Standardize variation option names (S/M/L vs Small/Medium/Large). Normalize currency values across listings.
5
Export clean product data
Download standardized product data as CSV. Use it for analytics, platform migration, or inventory management with consistent, parseable data across all listings.

Frequently Asked Questions

How are Etsy variation prices reflected in the export?
Etsy exports include base price and variation price adjustments as separate values. dataclean.to can calculate the final price per variation or keep them separate, depending on your needs.
Can I use cleaned Etsy data to list on other platforms?
Yes. After cleaning, the product data is platform-agnostic. You will need to map Etsy-specific fields (who_made, when_made) to the target platform's equivalent attributes.
What happens to personalization fields?
Personalization option text exports as a plain text column. dataclean.to preserves this data and can flag listings with personalization enabled so you handle them appropriately in your target system.

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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