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Drug intel is scattered across three federal systems. One actor shouldn't be.
FDA labeling lives in openFDA. Trials live in ClinicalTrials.gov. Gene context lives in MedlinePlus / NCBI. Three systems, three response shapes, three "read the docs" rabbit holes — and none of them talk to each other. You just want: "what's the trial + label + gene picture for pembrolizumab?"
Pharma / Biotech Intelligence Pack fuses all three into one actor with one flat record shape. Search by drug, add a gene, get a unified typed dataset.
Sources & what you get
| Source | What you get |
|---|---|
| FDA (openFDA) | Drug labeling: brand/generic/ingredient match, indications, warnings, adverse events |
| ClinicalTrials.gov v2 | Studies by condition/intervention: title, recruitment status, phase, conditions |
| MedlinePlus Genetics (NCBI Gene) | Gene summary linked to MedlinePlus for a symbol like BRCA1 |
Example output
{
"query": "pembrolizumab + BRCA1",
"source": "ClinicalTrials.gov",
"title": "A Study to Investigate the Safety of Pembrolizumab",
"status": "RECRUITING",
"phase": "PHASE1",
"detail": "Neoplasms",
"sourceUrl": "https://clinicaltrials.gov",
"attribution": "ClinicalTrials.gov (NLM, public domain)"
}Every run also emits a RUN_SUMMARY row reporting per-source hit counts, so an empty result is explicit ("no matches") rather than a silent source failure.
Why this over the websites?
- One query, three sources — FDA labels, trials, and gene context in a single pull. No tab-switching.
- Typed, flat output — one record shape across all sources; drop it into a sheet or pipeline.
- Schedulable + webhook — run weekly, pipe new trials/labels into your watchlist automatically.
- No API key, no proxy — all three are free US government / open endpoints.
- Attribution per row — every record carries its real source credit for open-data reuse.
Use cases
- Competitive / pipeline intel — map the trial + label landscape for a compound or indication.
- Investor & BD diligence — frame a pipeline before a deal.
- Academic groundwork — gather structured context for a study.
- Drug-safety monitoring — track indications and adverse-event language.
Try it: Pharma / Biotech Pack on Apify — three sources, one schema, keyless, schedulable.