Data
Conditions for reuse
Pangkalan data Open Food Facts telah tersedia di bawah Open Database License .
Kandungan-kandungan pangkalan data secara individu tersedia di bawah Database Contents License .
Imej-imej produk puls tersedia di bawah Creative Commons Attribution ShareAlike License.
Ia mungkin mengandungi unsur-unsur bergrafik yang tertakluk kepada hak cipta atau lain-lain hak, yang mungkin dalam beberapa kes boleh dihasilkan semula (hak sebutan atau penggunaan adil).
Sila baca Terma-terma dan syarat-syarat penggunaan dan penggunaan-semula sebelum menggunakan semula data.
Tell us about your reuse
Kami amat berminat mengetahui bagaimanakah data Open Food Food Facts digunakan. 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 Food Facts community. You can also fill this form to get a chance to get your app featured.
Eksport data Open Food Facts
Longgok pangkalan data dan eksport dijana setiap malam. The database is very big, so you can find different ways to use the data, depending on the export flavor.
Maklumat mengenai medan-medan berbeza untuk longgok MongoDB dan eksport CSV telah tersedia di https://world.openfoodfacts.org/data/data-fields.txt
Longgok MongoDB
Data untuk semua produk telah tersedia dalam longgok pangkalan data MongoDB.
- Pautan
- https://static.openfoodfacts.org/data/openfoodfacts-mongodbdump.gz
- sha256sum
- https://static.openfoodfacts.org/data/gz-sha256sum
- md5sum
- https://static.openfoodfacts.org/data/gz-md5sum
Eksport Delta
Eksport delta harian disediakan selama 14 hari sebelumnya. The list of currently available delta files can be found at https://static.openfoodfacts.org/data/delta/index.txt.
Setiap baris mewakili satu fail yang tersedia di https://static.openfoodfacts.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.
Harap maklum, disebabkan sifat mongoexport, fail-fail delta tidak dapat memberitahu anda berkenaan produk-produk yang terpadam. To remove deleted products from your database, you will need to import the full MongoDB dump.
JSONL data export
The whole database is also available in JSONL format (sometimes called LDJSON or NDJSON) where each line is a JSON object. It represents the same data as the MongoDB export. The file is compressed with gzip.
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 Food Facts database with DuckDB
Eksport Data 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.
Find more information in the Wiki, including guidelines for data reuse and example queries to get started.Eksport Data RDF
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
- Food: https://static.openfoodfacts.org/data/en.openfoodfacts.org.products.csv.gz (compressed CSV in GZIP format: ~ 0.9 Gb, uncompressed: ~ 9 Gb)
- Cosmetics: https://static.openbeautyfacts.org/data/en.openbeautyfacts.org.products.csv.gz
- Pet Food: https://static.openpetfoodfacts.org/data/en.openpetfoodfacts.org.products.csv.gz
- All other products: https://static.openproductsfacts.org/data/en.openproductsfacts.org.products.csv.gz
Pengekodan fail ialah Unicode UTF-8. Aksara yang memisahkan medan-medan ialah <tab> (penjadualan).
Eksport Data RDF
The database is also available in the RDF format (this is an experiment, not actively maintained anymore). You can read the announcement in French.
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
Satu API JSON juga tersedia untuk membaca data sesebuah produk. This API is in particular used in the Open Food Facts mobile app.
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.
Discover our APIContributing to improving our API and OpenAPI documentation
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.
XML API (unsupported)
You can also get the result in XML by using .xml
Example: https://world.openfoodfacts.org/api/v2/product/737628064502.xml
This API is not actively maintained, and not officially documented.Pembalut dan SDK
Kami mungkin mempunyai satu pembalut untuk bahasa pengaturcaraan kegemaran anda. Sekiranya ada, anda boleh menggunakan dan menambahbaiknya. Sekiranya tiada, anda boleh bantu membuatnya.
Anda dialu-alukan untuk mengguna-semula kod (ia sumber terbuka) dan bantu kami menambahbaiknya, untuk semua orang, di planet ini.
General principles to make your users happy
- You can search for information about products, including many useful computed values.
- DART: GitHub
- 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 Food Facts AI - Robotoff - will generate some derived data from the photos
- Over time, other apps, and the Open Food Facts community will fill the data gaps
Android/iPhone/Flutter mobile app
- Submit nutrition facts + category > get Nutri-Score
- Submit ingredients > get the NOVA group (about food ultra-processing), additives, allergens, normalized ingredients, vegan, vegetarian…
- Submit category + labels > soon get the Eco-Score (about environmental impact)
Android/iPhone/Flutter mobile app
The code for the official Open Food Facts mobile apps is available on GitHub Flutter Kotlin Android 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.
Anda dialu-alukan untuk mengguna-semula kod (ia sumber terbuka) dan bantu kami menambahbaiknya, untuk semua orang, di planet ini.
SDKs
| Icon | Language / Framework | Resources | Discussion |
|---|---|---|---|
| Cordova (Old App) | GitHub | N/A | |
| DART | GitHub pub.dev | N/A | |
| Elixir | GitHub | Slack Channel | |
| Go | GitHub | Slack Channel | |
| Java | GitHub | Slack Channel | |
| Spring Boot | GitHub | Slack Channel | |
| Kotlin | GitHub | Slack Channel | |
| NodeJS | GitHub | Slack Channel | |
| PHP | GitHub | Slack Channel | |
| PHP (Laravel) | GitHub | Slack Channel | |
| Python | GitHub | Slack Channel | |
| React Native | GitHub | Slack Channel | |
| Ruby | GitHub | Slack Channel | |
| Rust | GitHub | Slack Channel | |
| R | GitHub | Slack Channel | |
| Swift | GitHub | Slack Channel | |
| .NET/C# | GitHub | Slack Channel |
Perbincangan data, API dan eksport
You can look at common FAQ questions about the API and Data Exports and common Open Food Facts questions
You can join the Open Food 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