How do I connect Open Food Facts to Lodol?

Authenticate Open Food Facts once from your workspace and every action and trigger it supports becomes available to drop into a workflow. There is no glue code to write or maintain.

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Open Food Facts

Fitness

Look up food products by barcode in the Open Food Facts database using the free, keyless v3 API — no account or API key required for reads. Get product details plus computed values like the Nutri-Score, NOVA group, Green-Score, ingredients, and allergens, and fetch taxonomy autocomplete suggestions. Data is contributed by volunteers and is provided under the Open Database License without any guarantee of accuracy or completeness, so verify it before relying on it for dietary or allergen decisions. Disclaimer: this is an independent integration with the community-run Open Food Facts project (openfoodfacts.org); it is not affiliated with, endorsed by, or sponsored by Open Food Facts or the non-profit that operates it.

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3 actions

Actions

Steps your workflow can run in Open Food Facts.

Get a product by barcodeLook up a food product in the Open Food Facts database by its barcode using the v3 API. Returns the product's details along with computed values such as the Nutri-Score, NOVA processing group, Green-Score, nutrient levels, ingredients, and allergens (when Open Food Facts has enough data to compute them). A barcode that isn't in the database yet comes back as a not-found result rather than an error, so a workflow can branch on it. By default a curated set of the most useful fields is returned; pass a comma-separated Fields list to choose your own, or 'all' for the complete record.

Get taxonomy suggestionsGet autocomplete suggestions from an Open Food Facts taxonomy — for example matching category, label, or brand names as a user types. Useful for offering valid tag values when building or filtering product data.

List attribute groupsList the attribute-group definitions Open Food Facts uses to rate products — nutritional quality (Nutri-Score), food processing (NOVA), allergens, labels, and more. Handy for building preference-based scoring or filtering.