Help us inform millions of consumers around the world about what they eat

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Please give to our 2024 Fundraiser

Your donations fund the day-to-day operations of our non-profit association:

  • keeping our database open & available to all,
    • technical infrastructure (website/mobile app) & a small permanent team

  • remain independent of the food industry,

  • engage a community of committed citizens,

  • support the advancement of public health research.

Each donation counts! We appreciate your support in bringing further food transparency in the world.

Dades

Conditions for reuse

The Open Beauty Facts database is available under the Open Database License.
The individual contents of the database are available under the Database Contents License.
Products images are available under the Creative Commons Attribution ShareAlike licence. Poden contenir elements gràfics subjectes a drets d'autor o altres drets, que en alguns casos es poden reproduir (drets de cotització o ús raonable).

Please read Terms and conditions of use and re-use before re-using the data.

Tell us about your reuse

We are very interested in learning what the Open Beauty Facts data is used for. It is not mandatory, but we would very much appreciate it if you tell us about your re-uses so that we can share them with the Open Beauty Facts community. You can also fill this form to get a chance to get your app featured.

Open Beauty Facts data exports

Els abocaments de bases de dades i les exportacions es generen cada nit. The database is very big, so you can find different ways to use the data, depending on the export flavor.

Information on the different fields for the MongoDB dump and CSV exports is available at https://world.openbeautyfacts.org/data/data-fields.txt

Abocador de MongoDB

Les dades de tots els productes estan disponibles en un bolcat de base de dades a MongoDB.

Enllaç
https://static.openbeautyfacts.org/data/openbeautyfacts-mongodbdump.gz
sha256sum
https://static.openbeautyfacts.org/data/gz-sha256sum
md5sum
https://static.openbeautyfacts.org/data/gz-md5sum

Exportació Delta

Les exportacions delta diàries es proporcionen durant els 14 dies anteriors. The list of currently available delta files can be found at https://static.openbeautyfacts.org/data/delta/index.txt.

Each line represents a file that is available at https://static.openbeautyfacts.org/data/delta/{filename}.

The filename contains UNIX timestamp of the first and the last change contained in the JSON file, so that the delta files can be imported (after extraction) with mongoimport in alphabetical order.

Tingueu en compte que a causa de la naturalesa de mongoexport, els fitxers delta no us poden informar sobre els productes suprimits. To remove deleted products from your database, you will need to import the full MongoDB dump.

Exportació de dades JSONL

Tota la base de dades també està disponible en format JSONL (de vegades anomenat LDJSON o NDJSON) on cada línia és un objecte JSON. Representa les mateixes dades que l'exportació de MongoDB. El fitxer està comprimit amb gzip.

Enllaç
https://static.openbeautyfacts.org/data/openbeautyfacts-products.jsonl.gz

A suitable way to exploit the database is to use DuckDB, an in-process analytical tool designed to process large amount of data in a fraction of seconds. You can read our blog post where we walk you through exploring and processing the Open Beauty Facts database with DuckDB

Exportació de dades CSV

A simplified version of the JSONL dump is also available in the Parquet format. During the conversion, we filtered columns that contains duplicated information, are used for internal debugging, or are simply irrelevant for users.

The Parquet format has proved to be handy:

  • Data is organized by column, rather than by row, which saves storage space and speeds up analytics queries, i.e. you can select just the columns you care about, optimizing query performances, even on entry-level computers.
  • Highly efficient data compression and decompression, making it good for storing and sharing big datasets of any kind,
  • Supports complex data types and advanced nested data structures.

The dataset is available on Hugging Face, a collaborative Machine Learning ecosystem where developers and researchers can share models and datasets.

Enllaç
https://huggingface.co/datasets/openfoodfacts/product-database/resolve/main/beauty.parquet?download=true

Find more information in the Wiki, including guidelines for data reuse and example queries to get started.

Exportació de dades CSV

Data for all products, or some of the products, can be downloaded in the CSV format (readable with LibreOffice, Excel and many other spreadsheet software) through the advanced search form.

Links
https://static.openbeautyfacts.org/data/en.openbeautyfacts.org.products.csv.gz (compressed CSV in GZIP format: ~ 0.9 Gb, uncompressed: ~ 9 Gb)

La codificació del fitxer és Unicode UTF-8. The character that separates fields is <tab> (tabulation).

RDF Data Export

The database is also available in the RDF format. You can read the announcement in French.

Enllaç
https://world.openbeautyfacts.org/data/en.openbeautyfacts.org.products.rdf.gz

Image Data Export

All images and OCR results can either be downloaded from our server or from AWS (through the AWS Open Data Program). Check out our documentation to learn more about how to download images.

OpenAPI Documentation for the JSON API

A JSON API is also available to read the data for a product. This API is in particular used in the Open Beauty Facts mobile app for iPhone and Android.

We improve the API over-time but we are careful to keep backwards compatibility. Please get in touch if you use it, so that we can tell you about potential changes.

URL to read data for a product: https://world.openbeautyfacts.org/api/v2/product/[barcode].json

The app for Android is developed in Kotlin.

Note that if the output is too overwhelming, you can filter it - as described in the API documentation.

OpenAPI help wanted

We're eager to finish the documentation of the API, add use-cases, and automate SDK generation. If you are an OpenAPI connoisseur, you are very welcome to help.

You are very welcome to use the API for production cases, as long as 1 API call = 1 real scan by a user. Any attempt to scrape the database using the API will very likely be blocked, as full daily exports are available on this very page.

Also, sending an HTTP header with your API call is a good way we can get in touch, should any issue arise.

If you are unsure about anything, or have any question (there is no silly question), feel free to ask it on the #api channel on Slack :-)

Experimental XML API

You can also get the result in XML by using .xml

Example: https://world.openbeautyfacts.org/api/v2/product/737628064502.xml

This API is not actively maintained, and not officially documented.

Wrappers and SDKs

We probably have a wrapper for your favorite programming language. If we do, you can use it and improve it. If we don't, you can help create it.

They will let you consume data, as well as let your users contribute new data

General principles to make your users happy

  • You can search for information about products, including many useful computed values.
  • DART: GitHub (Open Food Facts only at the moment)
  • You can also implement the complete flow so that they get immediately the result with some effort on their side.

If your users do not expect a result immediately (e.g. Inventory apps)

  • Submit photos (front/nutrition/ingredients): most painless thing for your users
  • The Open Beauty Facts AI - Robotoff - will generate some derived data from the photos
  • Over time, other apps, and the Open Beauty Facts community will fill the data gaps

If your users expect a result immediately (e.g. Allergy apps)

  • Submit ingredients + category > get Ingredient analysis, additives, allergens, normalized ingredients, vegan, vegetarian…
  • Submit labels for added value

Android/iPhone/Flutter mobile app

The code for the Open Beauty Facts mobile app is available on GitHub (Flutter, Kotlin Android and Swift iOS).

We look to turn the deprecated Kotlin and Swift codebases into Kotlin and Swift SDKs, help welcome :-)

The app allows users to scan the barcode of products, to view the product information, and to take and submit pictures and data for missing products.

You are welcome to reuse the code (it's open source) and help us improve it, for everyone, on all the planet.

SDKs

Discussing data, API and exports

You can look at common FAQ questions about the API and Data Exports and common Open Food Facts questions

You can join the Open Beauty Facts Slack chatroom which is the preferred way to ask questions and discuss the API. Please ask your questions in the #api channel

You can open a thread on our API documentation repository

For any question regarding the data, you can contact us at reuse@openfoodfacts.org