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title: How to Build a Food-Products Dataset Without a Paid Catalog
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# How to Build a Food-Products Dataset Without a Paid Catalog

**[Medium](https://daily.dev/sources/medium_js)** · 3 min read · 0 upvotes · 0 comments

## Summary

Building a food-products dataset without paying for a commercial catalog is possible using Open Food Facts, a free open-data project with millions of products including barcodes, nutrition facts, ingredients, and more. The post covers when to use the bulk data dump versus a targeted API-based collector, how to normalize and clean crowd-sourced data (handling missing fields, casting nutrition values, splitting ingredient lists), and how to comply with the ODbL license. The author discloses they built a paid scraper tool but recommends the free official exports for whole-corpus needs.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@ninhothedev/how-to-build-a-food-products-dataset-without-a-paid-catalog-7011aa081ce3>

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---

Tags: [#data-science](https://daily.dev/tags/data-science), [#data-analysis](https://daily.dev/tags/data-analysis), [#crawling](https://daily.dev/tags/crawling)

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