US Dietary Supplement Label Ingredients

Every US dietary-supplement product and what's actually in it, in one clean long table - the 200k+ label catalog nobody sells cleanly. The NIH Office of Dietary Supplements' Label Database has no bulk download and a search API that caps every result window at ~10k rows, so assembling the whole thing is genuinely tedious; we enumerate it exhaustively (slicing by entry-year × product-type) and explode each label into one row per (product × ingredient) with brand, product name, product type, market status and entry year. Answer 'which supplements contain ashwagandha / melatonin / creatine?' or 'what does brand X put in its multivitamins?' with a single query. Keyed by DSLD id. Public domain (U.S. Government work, NIH ODS).

What's included

• One row per (supplement product × ingredient) - 200k+ labels exploded to their ingredients
• Brand, product name, product type, on/off-market status, entry year on every row
• Ingredient name, ingredient group and category - the queryable 'what's in it' layer
• Rescued from a 10k-capped API with no bulk export (the reason no clean version exists)
• Query supplements by ingredient, brand by formulation, or the market by product type
• Public domain (NIH Office of Dietary Supplements) - product-label facts only, no personal data
• Source: National Institutes of Health, Office of Dietary Supplements - DSLD

Schema

Sample & preview

Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: NIH ODS (redistributable open data; attribution passes through - see our Licence).

import pandas as pd
df = pd.read_parquet("us-supplement-label-ingredients_sample.parquet")
df.info()   # typed columns, gap-aware, ready to join