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Open Food Facts Scraper

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Open Food Facts Scraper

Open Food Facts Scraper

Scrape food product data from Open Food Facts covering 3M+ products worldwide. Get names, brands, barcodes, Nutri-Score grades, NOVA processing groups, full ingredient lists, nutrition facts per 100g, and allergen warnings. Filter by category, country, and nutrition grade.

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from $80.00 / 1,000 results

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ParseForge

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๐Ÿฅ— Open Food Facts Scraper

๐Ÿš€ Collect food product data from 3M+ items with names, brands, ingredients, Nutri-Score, NOVA groups, full nutrient profiles, allergens, and Eco-Score. Filter by category, country, and nutrition grade.

๐Ÿ•’ Last updated: 2026-04-17

Open Food Facts is the world's largest open food database, with over 3 million products from 180+ countries. This Actor queries that database and returns structured records with product names, brands, barcodes, full ingredient lists, Nutri-Score grades (A-E), NOVA processing groups (1-4), Eco-Score environmental grades, calorie and macronutrient values per 100g, allergen tags, certification labels, and packaging data. You can filter by category, country, Nutri-Score, NOVA group, and sort order.

Nutrition researchers, health app developers, dietitians, food industry analysts, and environmental researchers all need this data in a structured format. Rather than clicking through individual product pages, you get a clean dataset with thousands of records, complete with nutrient breakdowns, in a single run.

TargetOpen Food Facts
Use CasesNutrition analysis, health app databases, food industry research, allergen tracking

๐Ÿ“‹ What it does

  • ๐Ÿฅซ Product metadata. Names, brands, barcodes, quantities, serving sizes, and categories for every product.
  • ๐Ÿ… Nutri-Score grades. A through E nutritional quality ratings based on calories, sugar, fat, fiber, and protein.
  • ๐ŸŽ Full nutrient profiles. Calories, fat, saturated fat, carbohydrates, sugars, fiber, protein, and salt per 100g.
  • ๐Ÿญ NOVA groups. Food processing levels from 1 (unprocessed) to 4 (ultra-processed).
  • โš ๏ธ Allergen and label data. Allergen tags, trace warnings, ingredient lists, and certification labels.

Each record includes the product ID, name, brand, categories, quantity, Nutri-Score, NOVA group, Eco-Score, full ingredient list, detailed nutriments, allergens, labels, countries sold, image URL, product page URL, and scrape timestamp.

๐Ÿ’ก Why it matters: Manually browsing Open Food Facts for product data takes ages when you need hundreds of items. This Actor collects thousands of products with complete nutritional breakdowns in seconds.


๐ŸŽฌ Full Demo

๐Ÿšง Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset.


โš™๏ธ Input

InputTypeDefaultBehavior
categorystring"chocolate"Filter by food category (e.g., "chocolate", "pizza", "yogurt", "cereals").
querystring-Optional text search within the category.
countrystring-Filter by country: US, France, UK, Germany, Spain, Italy, or World.
nutriscorestring-Filter by Nutri-Score grade: A (healthiest) through E (least healthy).
novaGroupstring-Filter by NOVA processing group: 1 (unprocessed) through 4 (ultra-processed).
sortBystring-Sort by popularity, product name, or date created.
maxItemsinteger10Maximum products to return. Free users limited to 10. Paid users up to 1,000,000.

Example: Nutri-Score A chocolates in the US.

{
"category": "chocolate",
"country": "us",
"nutriscore": "a",
"maxItems": 50
}

Example: Ultra-processed cereals in France.

{
"category": "cereals",
"country": "fr",
"novaGroup": "4",
"maxItems": 100
}

โš ๏ธ Good to Know: Open Food Facts is community-maintained. Some products may have incomplete nutritional data or missing allergen information. Always verify critical allergen data against actual product packaging.


๐Ÿ“Š Output

Each record contains 30+ fields. Download as CSV, Excel, JSON, or XML.

๐Ÿงพ Schema

FieldTypeExample
๐Ÿ–ผ๏ธ imageUrlstring"https://images.openfoodfacts.org/images/products/..."
๐Ÿ“‹ productNamestring"Milka Alpine Milk"
๐Ÿท๏ธ brandsstring"Milka"
๐Ÿ—‚๏ธ categoriesstring"Snacks, Sweet snacks, Chocolates"
๐Ÿ“ quantitystring"100 g"
๐Ÿ… nutriscorestring"e"
๐Ÿญ novaGroupinteger4
๐ŸŒฟ ecoscorestring"d"
๐Ÿ“ ingredientsstring"Sugar, cocoa butter, skimmed milk powder..."
๐Ÿ”ฅ nutriments.energy_kcalnumber530
๐Ÿงˆ nutriments.fatnumber29.5
๐Ÿฌ nutriments.sugarsnumber58
๐Ÿ’ช nutriments.proteinsnumber6.3
โš ๏ธ allergensstring"en:milk, en:soybeans"
๐ŸŒ countriesstring"France, Germany, Belgium"

๐Ÿ“ฆ Sample records


โœจ Why choose this Actor

Capability
๐Ÿฅซ3M+ products. Access to the world's largest open food database.
๐Ÿ…Nutri-Score grades. A through E nutritional quality ratings included.
๐ŸญNOVA groups. Food processing levels from unprocessed to ultra-processed.
๐ŸŽFull nutrient data. Calories, macros, fiber, and salt per 100g.
โš ๏ธAllergen tracking. Allergen tags and traces for each product.
๐ŸŒGlobal coverage. Products from 180+ countries with country filtering.
๐Ÿ“ŠMultiple exports. Download as CSV, Excel, JSON, or XML.

Open Food Facts contains over 3 million products contributed by a global community, covering everything from snacks and beverages to dairy, grains, and frozen foods.


๐Ÿ“ˆ How it compares to alternatives

ApproachCostCoverageRefreshSetup
โญ Open Food Facts Scraper (this Actor)$5 free credit, then pay-per-use3M+ productsLive per runโšก 2 min
Manual browsingFreeLimited by timeManual checks๐Ÿ• Hours
Open Food Facts APIFreeFull databasePer request๐Ÿ”ง 1-2 hours
Third-party nutrition databases$100-500/moVariesMonthly๐Ÿ“‹ Onboarding

Pick this Actor when you want structured food product data with Nutri-Score, NOVA, and full nutrient profiles without building your own API integration.


๐Ÿš€ How to use

  1. ๐Ÿ“ Sign up. Create a free account with $5 credit (takes 2 minutes).
  2. ๐ŸŒ Open the Actor. Go to the Open Food Facts Scraper page on the Apify Store.
  3. ๐ŸŽฏ Set input. Choose a food category, country, nutrition filters, and set your max items.
  4. ๐Ÿš€ Run it. Click Start and let the Actor collect your data.
  5. ๐Ÿ“ฅ Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

โฑ๏ธ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.


๐Ÿ’ผ Business use cases

๐Ÿ”ฌ Nutrition Research

  • Analyze nutritional profiles across food categories
  • Study ultra-processed food prevalence by country
  • Compare Nutri-Score distributions across brands
  • Build datasets for nutrition epidemiology studies

๐Ÿ“ฑ Health App Development

  • Populate food databases with nutrient data
  • Build ingredient and allergen lookup features
  • Create Nutri-Score and NOVA-based food ratings
  • Feed barcode scanning apps with product data

๐Ÿช Food Industry Analysis

  • Track competitors' product formulations
  • Analyze labeling trends (organic, non-GMO, etc.)
  • Compare nutritional quality across market segments
  • Monitor new product launches by category

๐ŸŒฟ Environmental Research

  • Study Eco-Score distributions across food categories
  • Analyze packaging materials and recyclability
  • Compare environmental impact by product type
  • Track sustainability labeling trends


๐ŸŒŸ Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

๐ŸŽ“ Research and academia

  • Empirical datasets for papers, thesis work, and coursework
  • Longitudinal studies tracking changes across snapshots
  • Reproducible research with cited, versioned data pulls
  • Classroom exercises on data analysis and ethical scraping

๐ŸŽจ Personal and creative

  • Side projects, portfolio demos, and indie app launches
  • Data visualizations, dashboards, and infographics
  • Content research for bloggers, YouTubers, and podcasters
  • Hobbyist collections and personal trackers

๐Ÿค Non-profit and civic

  • Transparency reporting and accountability projects
  • Advocacy campaigns backed by public-interest data
  • Community-run databases for local issues
  • Investigative journalism on public records

๐Ÿงช Experimentation

  • Prototype AI and machine-learning pipelines with real data
  • Validate product-market hypotheses before engineering spend
  • Train small domain-specific models on niche corpora
  • Test dashboard concepts with live input

๐Ÿค– Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

โ“ Frequently Asked Questions

๐Ÿ’ณ Do I need a paid Apify plan to run this actor?

No. You can start right now on the free Apify plan, which includes $5 in free monthly credit. That is enough to run this actor several times and explore the output before committing to anything. Paid plans unlock higher limits, more concurrent runs, and larger datasets. Create a free Apify account here to get started.

๐Ÿšจ What happens if my run fails or returns no results?

Failed runs are not charged. If the source site changes, proxies get rate-limited, or a specific input matches nothing, re-run the actor or open our contact form and we will investigate. You can also check the run log in the Apify console to see why the run stopped.

๐Ÿ“ How many items can I scrape per run?

Free users are limited to 10 items per run so you can preview the output and confirm the actor works for your use case. Paid users can raise maxItems up to 1,000,000 per run. Upgrade here if you need full scale.

๐Ÿ•’ How fresh is the data?

Every run fetches live data at the moment of execution. There is no cache or delay: the records you get reflect what the source returned at that moment. Schedule the actor to maintain a rolling snapshot of the data you need.

๐Ÿง‘โ€๐Ÿ’ป Can I call this actor from my own code?

Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for Node.js and Python. You can start a run, read the dataset, and handle webhooks from your own app in a few lines. All you need is your Apify API token.

๐Ÿ“ค How do I export the data?

Every Apify dataset can be downloaded in one click from the console as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the Apify API or stream them into BigQuery, S3, and other destinations through built-in integrations.

๐Ÿ“… Can I schedule the actor to run automatically?

Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make.


๐Ÿ”Œ Automating Open Food Facts Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

  • ๐ŸŸข Node.js. Install the apify-client NPM package.
  • ๐Ÿ Python. Use the apify-client PyPI package.
  • ๐Ÿ“š See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval. Run it monthly to catch new products and updated nutritional data in your target categories.

๐Ÿ”Œ Integrate with any app

Open Food Facts Scraper connects to any cloud service via Apify integrations:

  • Make - Automate multi-step workflows
  • Zapier - Connect with 5,000+ apps
  • Slack - Get run notifications
  • Airbyte - Pipe data into your warehouse
  • GitHub - Trigger runs from commits
  • Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes.


๐Ÿ’ก Pro Tip: browse the complete ParseForge collection for more data scrapers and tools.


๐Ÿ†˜ Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.


โš ๏ธ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Open Food Facts or its contributors. All trademarks mentioned are the property of their respective owners. Only publicly available data is collected.