dataclean.to

Clean Product Data for Google Shopping

✓ Tested Works with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-13

Google Shopping listings reach buyers at the highest point of purchase intent. But getting your products to appear requires a data feed that meets Google's exacting format requirements. Messy spreadsheets with inconsistent pricing, missing identifiers, and non-standard field values lead to disapproved products and wasted ad spend. dataclean.to cleans your product data specifically for Google Shopping compliance, fixing the formatting issues that cause the most disapprovals.

The Problem

Google Shopping feeds fail for predictable, fixable reasons. A price column formatted as "$1,299.00" needs to become "1299.00 USD" — no symbols, no commas, currency code appended. Availability must be one of four exact strings: "in_stock", "out_of_stock", "preorder", or "backorder" — and Google rejects "In Stock" or "available." Product identifiers (GTIN, MPN, brand) have specific combination requirements depending on your product category. Image URLs must point to live images meeting minimum resolution requirements. When these issues affect even 10% of your feed, you're leaving significant revenue on the table. Google Shopping product data specification

How to Fix It

1
Upload your product data file
Import your product spreadsheet, database export, or existing feed file into dataclean.to. Supported formats include CSV, Excel, and TSV. The platform handles files with thousands of product rows.
2
Identify Shopping-specific data issues
dataclean.to scans your data against Google Shopping's requirements and flags specific problems: invalid GTIN checksums, prices with formatting characters, non-standard availability values, titles exceeding 150 characters, missing required attributes, and image URLs returning errors.
3
Normalize prices and identifiers
Automatically fix the most impactful issues. Prices are converted to plain decimal numbers with currency codes. GTINs are validated and reformatted. MPNs are trimmed and deduplicated. Brand names are standardized for consistency across your catalog.
4
Standardize text and categorical fields
Clean product titles by removing excessive capitalization and promotional language. Standardize color names, size values, material descriptions, and condition labels to match Google's accepted vocabulary. Ensure descriptions are plain text without HTML.
5
Export your Google Shopping-ready feed
Download the cleaned data as a properly formatted feed file ready for Google Merchant Center upload. Column headers match Google's expected attribute names, and all values use the formats that pass feed processing validation.

Frequently Asked Questions

How many products can I clean at once for Google Shopping?
dataclean.to processes feeds with thousands of product rows. Small feeds are processed directly in the browser, while larger feeds (over 10,000 rows or 2MB) are routed to dedicated processing infrastructure for faster handling without timeout issues.
Does dataclean.to assign Google Product Categories?
dataclean.to focuses on cleaning and normalizing the data you already have. If your product data includes a category or product_type column, it will be cleaned and standardized. Assigning the correct Google Product Category taxonomy ID is a mapping decision that depends on your specific products.
Can I use cleaned data for both Google Shopping and Facebook ads?
Yes, but the output formats differ slightly. Google and Facebook have different field name conventions and value requirements. You can clean your source data once in dataclean.to and export separate feeds formatted for each platform, avoiding duplicate data entry.

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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