Field Mapping

Map and normalise your data

Connect any source format to Vendably's standard schema. Auto-discovery suggests mappings, value mapping normalises enums, and custom fields preserve your data.

Auto-Discovery

Suggested mappings from your data

Vendably inspects your source and suggests field mappings using 40+ field aliases. Case-insensitive matching finds title, product_name, label, and heading — you approve or override.

40+ Standard Fields

One schema for every platform

Id, title, description, brand, price, sale_price, availability, condition, google_product_category, custom labels, and more. Unmapped fields stay in the data overflow for rules and custom feeds.

Value Mapping

Translate source values

"In Stock" → in_stock, "Brand New" → new. Define value translations per field so your data matches platform requirements. HTML entity cleaning and smart quote normalisation built in.

Custom Fields

Add your own fields

Create vcCustomField_* mappings for attributes not in the standard schema. Use them in rules and pass through to custom feed formats.

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