🥗 Open Food Facts Product Intelligence — Nutrition Data with AI Health Scoring

Extract food products with full nutrition facts, ingredients, allergens and environmental scores from Open Food Facts — enriched with an AI health score on every product. Search by name, look up exact barcodes, filter by Nutri-Score, processing level or allergens, and get a clean, ranked dataset of food products from around the world — no API key, no login. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

🥗 What is the Open Food Facts Product Intelligence?

It turns the open food database into a structured, health-ranked product dataset. Search a keyword (or pass a list of barcodes), apply optional filters for nutrition grade, NOVA processing group or allergens, and it returns each product with complete nutrition data plus a 0–100 health score that surfaces the healthiest options first — so nutrition apps, retailers, researchers and e-commerce teams can compare products and find better alternatives instantly.

What data does it extract?

• Product name, brand, categories and countries
• Barcode (EAN/UPC) for exact product matching
• Full ingredients list and allergen information
• Nutri-Score grade (A–E), NOVA group (1–4) and Eco-Score (A–E)
• Nutrition per 100 g — energy (kcal), fat, saturated fat, carbs, sugars, proteins, salt, fiber
• Additives count and product/nutrition images
• AI health score (0–100) ranking each product, sorted best-first

⬇️ Input

Run it two ways — search by keyword, or fetch exact products by barcode — and narrow down with optional health filters:

Field	Description
searchQuery	Search products by name or keywords, e.g. organic chocolate
barcodes	List of product barcodes (EAN/UPC) to fetch directly
minNutritionGrade	Minimum Nutri-Score: A–E (filters out lower grades)
maxNovaGroup	Maximum processing level (1 = unprocessed, 4 = ultra-processed)
excludeAllergens	Only return products without known allergens (default false)
maxResults	Cap the run (1–1000, default 100)
includeHealthScore	Calculate the AI health score (default true)

Example input

{
  "searchQuery": "breakfast cereal",
  "minNutritionGrade": "B",
  "maxNovaGroup": 3,
  "maxResults": 50,
  "includeHealthScore": true
}

⬆️ Output

Every product is one clean row (view as a table, or export JSON / CSV / Excel):

{
  "barcode": "737628064502",
  "product_name": "Organic Dark Chocolate",
  "brands": "Green & Black's",
  "categories": "Snacks, Sweet snacks, Cocoa and its products, Chocolates, Dark chocolates",
  "countries": "United Kingdom",
  "ingredients_text": "Organic cocoa mass, organic cane sugar, organic cocoa butter...",
  "allergens": "en:milk",
  "nutrition_grade": "b",
  "nova_group": 4,
  "ecoscore_grade": "c",
  "additives_count": 0,
  "energy_kcal_100g": 600,
  "fat_100g": 48,
  "saturated_fat_100g": 29,
  "carbohydrates_100g": 33,
  "sugars_100g": 29,
  "proteins_100g": 10,
  "salt_100g": 0.03,
  "fiber_100g": 12,
  "image_url": "https://images.openfoodfacts.org/...",
  "image_nutrition_url": "https://images.openfoodfacts.org/.../nutrition.jpg",
  "health_score": 71
}

The health score (0–100) combines four signals: Nutri-Score grade, NOVA processing group, Eco-Score and allergens/additives. Results are sorted highest-first so the healthiest products rise to the top of your dataset.

💡 Use cases

• 📱 Health & nutrition apps: power food trackers, meal planners and diet apps with real nutrition facts and health scores.
• 🛒 E-commerce & retail: enrich product listings with nutrition data, allergens and a comparable health ranking.
• 🔬 Dietary research: analyze nutritional patterns, processing levels and food trends across brands and categories.
• 🚫 Allergen & diet filtering: surface allergen-free, low-sugar or minimally-processed products for sensitive shoppers.

❓ FAQ

How do I get nutrition data for a product? Enter a searchQuery (or a list of barcodes), apply optional filters, then Run. You get structured products with nutrition facts, ingredients, allergens, scores and a health score.

Do I need an API key? No. It reads the public Open Food Facts database — just set your search and filters. No account, token or authentication required.

Can I look up products by barcode? Yes — pass a list of EAN/UPC barcodes to fetch those exact products, with or without a search query.

What is the health score? A transparent 0–100 score built from the Nutri-Score grade, NOVA processing group, Eco-Score and allergen/additive content. Higher scores indicate healthier, less-processed products.

Can I filter for healthy or unprocessed products? Yes — use minNutritionGrade to require an A/B grade, maxNovaGroup to exclude ultra-processed foods, and excludeAllergens to drop products with known allergens.

How many products can it return? Up to your maxResults cap (1–1000). Use a small cap for a quick comparison or a large one for category-wide research.

Can I export the data? Yes — download results as JSON, CSV or Excel, or pull them straight from the dataset via the Apify API.

Can I run it on a schedule or via API? Yes — schedule recurring runs in Apify, call it via the API/SDK, or connect it to Make, Zapier or n8n.

Is it legal? It uses Open Food Facts, a collaborative open database released under the Open Database License (ODbL). Use the data responsibly and credit Open Food Facts as the source; product brands remain the property of their owners.

🔗 You might also like

• Recipe Intelligence — recipes, ingredients & nutrition
• Ecommerce Price Monitor — track product prices across stores
• Cocktail Intelligence — cocktail recipes & ingredient data
• Amazon Product Scraper — Amazon product data

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Keywords: Open Food Facts API, food product data, nutrition data scraper, Nutri-Score, NOVA group, food barcode lookup, ingredients data, allergen data, Eco-Score, health score, food database, nutrition facts API, product intelligence, healthy food finder, food product enrichment.