Datadory notebook

How Developers Builders Use Drug Retail Data: Dataset Structure and Field Coverage

Datadory delivers how developers builders use drug retail data covering comprehensive field definitions, entity mappings, and historical time series — structured for direct analytics and delivered on demand.

1,744 datasets. Pick your catch.

Where does a builder start in this slice?

Quality runs high enough to build on without hedging: scores span 5 to 10 with a mean of 8.19, three records hold perfect 10s, and for this persona specifically the catalog tags 14 records in this industry as relevant to developers and data-product builders, 11 of them strong fits. That is enough depth to ship a product, not just a demo - the persona-ranked version of this shortlist lives on our drug retail data page for developers builders.

What can you build on top of 261,996 drug labels?

openFDA Drug Label API (Structured Product Labeling) is the content engine, and it also scores 10: 261,996 SPL label records for prescription and OTC drugs, each carrying section-level text arrays for indications, dosage, warnings, contraindications, ingredients and packaging. Because sections arrive as arrays rather than one flattened blob, extraction stays deterministic - split the array, index the section name, serve the text. Coverage mostly runs from June 2009 onward, refreshes weekly, and the full archive ships as 14 zipped JSON partitions totaling about 1.77 GB under commercial delivery terms.

How do you add drug-name autocomplete without signing anything?

NLM Clinical Table Search Service is the best developer experience in the pool (quality score 8): key-free, registration-free autocomplete JSON APIs over about 25 clinical tables. Point type-ahead search at roughly 9,300 RxTerms drug names carrying strengths, forms and routes; normalize messy user input against 2,342 ingredients; resolve providers against the 9.37 million-record NPI registry; and code diagnoses against ~75,000 ICD-10-CM entries and ~109,000 LOINC rows. Most tables sit less than a month behind their upstream releases - RxTables 202608, NPI dated 2026-08-10, ICD-10-CM FY2026 - so your autocomplete stays current without a maintenance contract.

Two operating notes belong in your runbook. Stay under the advised soft limit of 25 requests per second, and contact NLM above 50,000 calls per day. And keep PHI out of request strings entirely - the service terms forbid it and provide no availability guarantee, so cache aggressively and degrade gracefully.

Which feeds power safety, recall and approval features?

  1. openFDA FAERS Adverse Event API (quality score 9) - 20,692,690 safety reports from 2004 Q1 onward with patient demographics, suspect and concomitant drugs, indications, routes and MedDRA-coded reactions, nested drug-and-reaction JSON you can consume directly or land as ~113.7 GB across 1,767 quarterly partitions in a warehouse. Quarterly refreshes lag three or more months, reports are voluntary and unvalidated, so disproportionality counts measure reporting behavior, not causality.
  2. openFDA Drug Enforcement / Recall API (quality score 9) - the only recall feed in the slice: 17,876 enforcement reports since 2004 with classification, status, recalling firm, distribution pattern and reason for recall, refreshed weekly (last_updated 2026-08-12) and downloadable as one ~3.8 MB JSON file. Screen your SKU table against it nightly; its terms bar issuing public alerts from it.
  3. openFDA Drugs@FDA API (quality score 9) - the official approval record: 29,273 applications dating to 1939 (documents mostly since 1998) with sponsors, submissions, marketing status and therapeutic equivalence codes, refreshed daily Monday-Friday beside a ~8.9 MB one-file bulk export - the dataset for modeling generic entry and pricing pressure.

What does a working integration stack look like end to end?

The ranked shortlist that falls out of this build:

Pick up where this leaves off

Every one of these ships with sample rows before you commit to anything.

Drug Retail United States market

openFDA NDC Directory API

Drug Retail United States

openFDA Drug Label API (Structured Product Labeling)

Drug Retail United States - US clinical terminologies and the national…

NLM Clinical Table Search Service

DISPLAY_NAME · DISPLAY_NAME_SYNONYM · STRENGTHS_AND_FORMS …+4 more

Drug Retail Global submissions to the US FDA - United States and foreign…

openFDA FAERS Adverse Event API

Drug Retail United States regulatory perimeter

openFDA Drug Enforcement / Recall API

center_classification_date

Drug Retail United States regulatory perimeter - approvals gating American…

openFDA Drugs@FDA API

Want rows instead of a pitch? Name the datasets.

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Questions worth asking

How do I add drug-name autocomplete without an integration key?

The NLM Clinical Table Search Service serves key-free, registration-free autocomplete JSON over about 25 clinical tables, including roughly 9,300 RxTerms drug names with strengths, forms and routes, 2,342 ingredients, and the 9.37 million-record NPI registry. Stay under the advised soft limit of 25 requests per second; contact NLM beyond 50,000 calls per day.

How much FAERS data do I need to store locally?

The full openFDA FAERS archive spans about 113.7 GB zipped across 1,767 quarterly JSON partitions covering 20,692,690 reports since 2004 Q1. If you only need interactive queries, the API serves the same records as nested JSON under the shared openFDA quota of 240 requests per minute per IP, or 120,000 per day with a free key.