Open Food Facts Scraper — Barcode, Nutrition & Labels

Look up food products by barcode, or pull products by category or brand — and get Nutri-Score, NOVA group, Eco-Score, nutrition facts (per 100g), ingredients, allergens, labels, countries and image. Clean JSON/CSV/Excel.

Powered by Open Food Facts (an open, collaborative food database). Keyless, no anti-bot — built for diet & nutrition apps, e-commerce, health tools and CPG research.

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What this Actor does

Give it barcodes, categories and/or brands, and for each product it returns:

• Identity — barcode, product name, brands, categories, quantity.
• Scores — Nutri-Score (A–E), NOVA processing group (1–4), Eco-Score (A–E).
• Nutrition per 100g — energy (kcal), fat, saturated fat, sugars, salt, proteins, fiber.
• Composition — ingredients text, allergens, labels (organic, vegan, gluten-free…).
• Context — countries sold in, stores, product image and the Open Food Facts page.

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Why use it

• Barcode → full nutrition. Turn a list of barcodes into a complete nutrition + labels dataset.
• Health & diet ready. Nutri-Score, NOVA, sugars, salt and allergens — exactly what diet, nutrition and health apps need.
• Category & brand sweeps. Pull every product in a category or for a brand for market/CPG research.
• Keyless and open. No API key, no anti-bot — the open Open Food Facts database.
• Images included. Product image URLs for every item that has one.

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Who it's for

• Diet, nutrition & health app developers needing structured food data.
• E-commerce & grocery teams enriching product catalogs by barcode.
• CPG & market researchers analyzing categories and brands.
• Data & AI builders powering food/nutrition assistants.

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Quick start

Run it in the console (no code)

1. Fill any of the fields:

   Barcodes:   3017620422003
   Brands:     lindt, coca-cola
   Categories: breakfast-cereals, sodas
   

2. Click Start, then export as JSON, CSV, Excel or HTML.

Leave everything empty for a demo (Nutella barcode).

Run it via API (Python)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "barcodes": ["3017620422003"],
    "brands": ["lindt"],
    "categories": ["chocolates"],
}

run = client.actor("YOUR_USERNAME/openfoodfacts-scraper").call(run_input=run_input)

for p in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{p['productName']} — Nutri {p['nutriscoreGrade'].upper()} — {p['energyKcal']} kcal — sugars {p['sugars']}")

Run it via API (JavaScript)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('YOUR_USERNAME/openfoodfacts-scraper').call({
    barcodes: ['3017620422003'],
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((p) => console.log(`${p.productName}: ${p.nutriscoreGrade} / NOVA ${p.novaGroup}`));

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Input

Field	Type	Description
Barcodes	array	Product barcodes (EAN/UPC), one per line. Empty-all = demo.
Categories	array	English category tags — chocolates, sodas, yogurts, breakfast-cereals.
Brands	array	Brand tags — lindt, coca-cola, nestle.
Max products per query	integer	Cap per category/brand (paginates by 100). Default 100.
Speed (parallel queries)	integer	Queries at once. Default 5.
Proxy configuration	object	Apify Proxy. On by default.

Note on search: Open Food Facts' free-text search is unreliable, so this Actor works by barcode and by category/brand tags (which are robust). For specific products, barcodes are the most precise input.

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Output

One record per product:

{
  "source": "3017620422003",
  "sourceType": "barcode",
  "barcode": "3017620422003",
  "productName": "Nutella",
  "brands": "Nutella, Ferrero",
  "categories": "Breakfast, Spreads, Hazelnut spreads, ...",
  "quantity": "400 g",
  "nutriscoreGrade": "e",
  "novaGroup": "4",
  "ecoscoreGrade": "unknown",
  "energyKcal": "539",
  "fat": "30.9",
  "saturatedFat": "10.6",
  "sugars": "56.3",
  "salt": "0.107",
  "proteins": "6.3",
  "fiber": "",
  "ingredientsText": "Sugar, palm oil, hazelnuts 13%, ...",
  "allergens": "milk, nuts, soybeans",
  "labels": "",
  "countries": "France, ...",
  "imageUrl": "https://images.openfoodfacts.org/...",
  "url": "https://world.openfoodfacts.org/product/3017620422003",
  "scrapedAt": "2026-10-10T12:00:00.000Z"
}

Field	Description
barcode / productName / brands / categories / quantity	Identity.
nutriscoreGrade	Nutri-Score A–E.
novaGroup	NOVA processing group 1–4 (4 = ultra-processed).
ecoscoreGrade	Eco-Score A–E (when available).
energyKcal / fat / saturatedFat / sugars / salt / proteins / fiber	Nutrition per 100g.
ingredientsText / allergens / labels	Composition, allergens, labels.
countries / stores / imageUrl / url	Context, image and link.
scrapedAt	ISO timestamp.

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Tips & notes

• Barcodes are most precise. For specific products, use barcodes; category/brand are best for sweeps.
• Category tags are English slugs. e.g. breakfast-cereals, carbonated-drinks, plant-based-foods.
• Data completeness varies. Open Food Facts is crowd-sourced — popular products are rich; some have gaps (that's the underlying data, passed through as-is).
• Per-100g nutrition. Values are normalized to 100g/100ml for easy comparison.
• Dedupe. The same product can appear via multiple queries — dedupe on barcode if needed.

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Frequently asked questions

Do I need an API key? No — Open Food Facts is a free, open database.

Can I look up specific products? Yes — paste barcodes (EAN/UPC) for precise lookups with full detail.

Can I pull a whole category or brand? Yes — add category or brand tags; the Actor paginates through the matches.

Does it include Nutri-Score and allergens? Yes — Nutri-Score, NOVA, Eco-Score, allergens, labels and per-100g nutrition.

Is free-text search supported? Open Food Facts' free-text search is unreliable, so this Actor uses barcodes and category/brand tags, which are robust.

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Export & integrate

Results are available as JSON, CSV, Excel, HTML and via the Apify API. Push to Google Sheets, a webhook, Make, Zapier or your database.

Data from Open Food Facts, a collaborative, free and open database.