Glossary
Product Data Feed · Catalogue Feed · Inventory Feed
A product feed is a structured file — usually CSV, XML, or JSON, or an API payload — that lists all of your products and their attributes (title, description, price, GTIN, stock, images, category) in the exact format a marketplace or sales channel expects. It is how your catalogue is transmitted, kept in sync, and turned into live listings.
At its core a product feed is a table. Each row (or record) represents one sellable product or variant, and each column is an attribute the receiving channel understands — a unique product ID, the title, a longer description, the price and currency, stock availability, the brand, a GTIN or EAN, one or more image URLs, and a category value. Marketplaces and shopping channels read this file automatically to build, update, or remove listings without anyone editing them by hand.
The exact fields differ by channel. Google Shopping expects attributes such as id, title, description, link, image_link, price, availability, gtin and google_product_category. Amazon and Kaufland use their own flat-file or API schemas with category-specific fields. Allegro, bol.com and eMAG each define their own required and optional attributes. A feed that satisfies one channel will usually need remapping before another channel will accept it.
A feed can be delivered as a hosted file the channel fetches on a schedule (a URL it polls), as a file you upload, or — most reliably — through a direct API connection that pushes changes as they happen. Scheduled feeds are simple but introduce lag; API connections allow near real-time updates to price and inventory, which matters when you are avoiding overselling across many marketplaces at once.
Because the same product is usually sold on several channels, the practical job is taking one source catalogue (from Shopify or WooCommerce, for example) and generating a separate, correctly formatted feed for each destination. Tools that automate this map your source fields to each marketplace's schema, transform values where needed, and re-send the feed whenever stock or price changes so every channel reflects the same truth.
A Shopify store selling a coffee grinder generates a Google Shopping feed row with id "CG-200", title "Burr Coffee Grinder 200W", price "49.90 EUR", availability "in stock", gtin "5012345678900" and a google_product_category value. The same product is pushed to Kaufland through an API feed using Kaufland's own category and attribute names — same product, two differently structured feeds.
Marqetir uses AI to generate, translate, and sync compliant listings across Allegro, Kaufland, Amazon, eMAG, bol.com and more.
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