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Clean Ecommerce Product Data from Notion Databases

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

Notion databases offer a flexible way to manage product catalogs with rich properties, relations, and rollups. But when you export this data, Notion's relational structure flattens into CSV columns filled with page references, comma-separated relation values, and rollup calculations that may not match the live data. dataclean.to processes Notion exports and converts them into clean, flat product data.

The Problem

Notion CSV exports replace page references with page titles, which may not be unique. Relation fields export as comma-separated page names rather than structured data. Rollup fields may show stale calculated values. Multi-select properties export with commas, making them hard to parse when individual values also contain commas. Date properties include time zones that vary by the exporter's location. Files and media properties export as Notion's internal URLs that expire. Notion export documentation

How to Fix It

1
Export your Notion product database
Open your Notion product database, click the three-dot menu, and select Export as CSV. Alternatively, use the Notion API to export records with all properties.
2
Upload to dataclean.to
Import the Notion CSV. The platform identifies Notion-specific patterns including relation fields, rollup values, multi-select formatting, and expiring file URLs.
3
Resolve relation and rollup data
Convert relation fields from page title references to clean values. Flag rollup fields where calculations may be stale. Replace Notion file URLs with stable alternatives or flag them for manual download.
4
Normalize property values
Parse multi-select values correctly even when individual options contain commas. Standardize date formats across properties. Convert checkbox values from true/false text to proper booleans.
5
Export clean product data
Download flat, structured product data as CSV. All Notion-specific formatting is removed, producing data ready for ecommerce platforms, spreadsheets, or other databases.

Frequently Asked Questions

Why do Notion exports have duplicate page names in relation columns?
Notion exports relations as page titles, not unique IDs. If multiple pages share the same title, the export becomes ambiguous. dataclean.to flags these duplicates so you can resolve them manually.
Do Notion file URLs in exports work permanently?
No. Notion's S3-signed URLs in CSV exports expire after a period. dataclean.to flags file URL columns so you know to download the actual files before the URLs expire.
Can I push cleaned data back to Notion?
The cleaned CSV can be imported into a new Notion database. For updating existing databases, you would need to use the Notion API, as Notion does not support CSV import into existing databases natively.

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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