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FDA NDC Product Directory

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from $13.40 / 1,000 fda ndc product directories

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FDA NDC Product Directory

FDA NDC Product Directory

One drug_product_record per product in the official FDA National Drug Code (NDC) Directory via openFDA — keyless, logged-out.

Pricing

from $13.40 / 1,000 fda ndc product directories

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NexGen Watch

NexGen Watch

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🛡️ FDA NDC Product Directory

One drug_product_record per product in the official FDA National Drug Code (NDC) Directory via openFDA — keyless, logged-out.

Difference: One record per NDC product with two-level product/package normalization: labeler, generic/brand name, dosage form, route, marketing category, product type, application number, pharm class and listing expiration, plus the packaging levels (package NDC, description, marketing dates) and active ingredients (name + strength) as structured lists. Distinct from fleet-1's label/safety, Orange Book, and approvals actors — this is the product/package directory.

Output is one fda_ndc_product row per result; billing is pay-per-event, the value event being one fda ndc product directory (a $0.02 start fee per run, then $0.02 per fda ndc product directory). Source: api.fda.gov.

No login, no API key and no CAPTCHA solving are involved: the source is read logged-out with an identified contact User-Agent.

📊 Sample Output

FDA NDC Product Directory sample output — a table of real fda ndc product directory rows (product_ndc, product_id, generic_name, brand_name) from run AjT2wClUEV14dNrTG on build 0.1.7

Real rows from run AjT2wClUEV14dNrTG on build 0.1.7 (2026-09-18), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

product_ndcproduct_idgeneric_namebrand_namelabeler_nameproduct_type
76420-83376420-833_1f9dd2b3-12f6-c5c3-e063-6294a90a8065AmoxicillinAmoxicillinAsclemed USA, Inc.HUMAN PRESCRIPTION DRUG
76472-404876472-4048_0fccc8c3-140a-46cf-e063-6394a90a255dDULCAMARADULCAMARA 30CSEVENE USAHUMAN OTC DRUG
77338-30777338-307_1bbb6d64-77d3-86e2-e063-6294a90abdc4White PetrolatumAstonea Vitamin A and DASTONEA LABS PRIVATE LIMITEDHUMAN OTC DRUG
78518-00778518-007_46e05ccb-82a8-f692-e063-6294a90a079aZINC OXIDECreamMONAT GLOBAL CORPHUMAN OTC DRUG
76168-11976168-119_6c30260f-b9e7-58c3-e053-2991aa0a818cAcetaminophen PMPain Relief PMVelocity PharmaHUMAN OTC DRUG
76282-72076282-720_054af266-c850-45c8-b027-d810d7d5f0aeLANREOTIDE ACETATELANREOTIDE ACETATEEXELAN PHARMACEUTICALS, INC.HUMAN PRESCRIPTION DRUG
76420-08476420-084_ead317e5-93f1-fd8d-e053-2995a90adbf6LIDOCAINE HYDROCHLORIDELidocaine HydrochlorideAsclemed USA, Inc.HUMAN PRESCRIPTION DRUG
76420-52376420-523_412ebee3-8ea7-9e7a-e063-6394a90aa63aprazosin hydrochlorideprazosin hydrochlorideASCLEMED USA INC.HUMAN PRESCRIPTION DRUG

The run finished with the status message: NORMAL: 50 unique rows (0 duplicates collapsed). billable=50

✅ What you get

Each row is flat JSON with these fields (from the dataset schema and the sample run; a field the source does not publish for a given row is null):

  • record_type (string) — e.g. fda_ndc_product
  • product_ndc (string/null) — e.g. 76420-833
  • product_id (string/null) — e.g. 76420-833_1f9dd2b3-12f6-c5c3-e063-6294a90a8065
  • generic_name (string/null) — e.g. Amoxicillin
  • brand_name (string/null) — e.g. Amoxicillin
  • labeler_name (string/null) — e.g. Asclemed USA, Inc.
  • product_type (string/null) — e.g. HUMAN PRESCRIPTION DRUG
  • dosage_form (string/null) — e.g. CAPSULE
  • route (string/null) — e.g. ["ORAL"]
  • marketing_category (string/null) — e.g. ANDA
  • marketing_start_date (string/null) — e.g. 20051109
  • listing_expiration_date (string/null) — e.g. 20261231
  • application_number (string/null) — e.g. ANDA065271
  • pharm_class (string/null) — e.g. ["Penicillin-class Antibacterial [EPC]", "Penicillins [CS]"]
  • active_ingredients (string/null) — e.g. [{"name": "AMOXICILLIN", "strength": "500 mg/1"}]
  • packaging (string/null) — e.g. [{"package_ndc": "76420-833-01", "description": "100 CAPSULE in 1 BOTTLE (76420-
  • package_count (string/null) — e.g. 5
  • spl_id (string/null) — e.g. 1f9dd2b3-12f6-c5c3-e063-6294a90a8065
  • fda_disclaimer (string/null) — e.g. Listing in the FDA NDC Directory is not FDA approval or endorsement and does not
  • source (string/null) — e.g. fda-ndc-product-directory
  • release_date (string/null) — null in every sample row
  • source_url (string/null) — e.g. https://api.fda.gov/drug/ndc.json
  • observed_at (string/null) — e.g. 2026-09-18T21:40:44Z
  • license (string/integer/null) — e.g. openFDA — U.S. Food & Drug Administration public data
  • attribution (string/integer/null) — e.g. Source: openFDA NDC Directory (api.fda.gov). Listing is not FDA approval.
  • terminal (string/integer/null) — null in every sample row
  • reported_total (string/integer/null) — null in every sample row
  • raw_seen (string/integer/null) — null in every sample row
  • duplicates (string/integer/null) — null in every sample row
  • unique_found (string/integer/null) — null in every sample row
  • delivered (string/integer/null) — null in every sample row
  • scope (string/integer/null) — null in every sample row
  • note (string/integer/null) — null in every sample row

✅ What you get

  • record_type (string) — e.g. fda_ndc_product
  • product_ndc (string/null) — e.g. 76420-833
  • product_id (string/null) — e.g. 76420-833_1f9dd2b3-12f6-c5c3-e063-6294a90a8065
  • generic_name (string/null) — e.g. Amoxicillin
  • brand_name (string/null) — e.g. Amoxicillin
  • labeler_name (string/null) — e.g. Asclemed USA, Inc.
  • product_type (string/null) — e.g. HUMAN PRESCRIPTION DRUG
  • dosage_form (string/null) — e.g. CAPSULE
  • route (string/null) — e.g. ["ORAL"]
  • marketing_category (string/null) — e.g. ANDA
  • marketing_start_date (string/null) — e.g. 20051109
  • listing_expiration_date (string/null) — e.g. 20261231
  • application_number (string/null) — e.g. ANDA065271
  • pharm_class (string/null) — e.g. ["Penicillin-class Antibacterial [EPC]", "Penicillins [CS]"]
  • active_ingredients (string/null) — e.g. [{"name": "AMOXICILLIN", "strength": "500 mg/1"}]
  • packaging (string/null) — e.g. [{"package_ndc": "76420-833-01", "description": "100 CAPSULE in 1 BOTTLE (76420-
  • package_count (string/null) — e.g. 5
  • spl_id (string/null) — e.g. 1f9dd2b3-12f6-c5c3-e063-6294a90a8065
  • fda_disclaimer (string/null) — e.g. Listing in the FDA NDC Directory is not FDA approval or endorsement and does not
  • source (string/null) — e.g. fda-ndc-product-directory
  • release_date (string/null) — null in every sample row
  • source_url (string/null) — e.g. https://api.fda.gov/drug/ndc.json
  • observed_at (string/null) — e.g. 2026-09-18T20:58:28Z
  • license (string/integer/null) — e.g. openFDA — U.S. Food & Drug Administration public data
  • attribution (string/integer/null) — e.g. Source: openFDA NDC Directory (api.fda.gov). Listing is not FDA approval.
  • terminal (string/integer/null) — null in every sample row
  • reported_total (string/integer/null) — null in every sample row
  • raw_seen (string/integer/null) — null in every sample row
  • duplicates (string/integer/null) — null in every sample row
  • unique_found (string/integer/null) — null in every sample row
  • delivered (string/integer/null) — null in every sample row
  • scope (string/integer/null) — null in every sample row
  • note (string/integer/null) — null in every sample row

What you get

One drug_product_record per record, deduplicated on its natural key. A run_receipt row carries the source URL, scope, license, attribution, and totals.

⚙️ Sample inputs

1. Quick start — the Store example (this is what the sample above came from)

{
"maxRecords": 50
}

The sample run charged exactly: 1 × $0.02 apify-actor-start + 50 × $0.02 drug_product_record = $1.02 on the Free tier — every delivered row was billed.

2. A smaller, narrowed run

{
"maxRecords": 5
}

Caps the run at 5 rows — about $0.12 on the Free tier ($0.02 start + 5 × $0.02).

3. A full-size run

{
"maxRecords": 5000
}

Up to 5000 rows (the schema default for maxRecords) — about $100.02 on the Free tier ($0.02 start + 5000 × $0.02) if the source has that many.

🧾 JSON sample record

One real record from run AjT2wClUEV14dNrTG, exactly as it lands in the dataset (emails masked, long text shortened):

{
"record_type": "fda_ndc_product",
"product_ndc": "76420-833",
"product_id": "76420-833_1f9dd2b3-12f6-c5c3-e063-6294a90a8065",
"generic_name": "Amoxicillin",
"brand_name": "Amoxicillin",
"labeler_name": "Asclemed USA, Inc.",
"product_type": "HUMAN PRESCRIPTION DRUG",
"dosage_form": "CAPSULE",
"route": "[\"ORAL\"]",
"marketing_category": "ANDA",
"marketing_start_date": "20051109",
"listing_expiration_date": "20261231",
"application_number": "ANDA065271",
"pharm_class": "[\"Penicillin-class Antibacterial [EPC]\", \"Penicillins [CS]\"]",
"active_ingredients": "[{\"name\": \"AMOXICILLIN\", \"strength\": \"500 mg/1\"}]",
"packaging": "[{\"package_ndc\": \"76420-833-01\", \"description\": \"100 CAPSULE in 1 BOTTLE (76420-833-01)\", \"marketing_start_date\": \"20240814\", \"marketing_end_date\": null}, {\"package_ndc\": \"76420-833-05\", \"description\": \"500 CAPSULE in 1 BOTTLE (76420-833-05",
"package_count": "5",
"spl_id": "1f9dd2b3-12f6-c5c3-e063-6294a90a8065",
"fda_disclaimer": "Listing in the FDA NDC Directory is not FDA approval or endorsement and does not certify the information is correct.",
"source": "fda-ndc-product-directory",
"release_date": null,
"source_url": "https://api.fda.gov/drug/ndc.json",
"observed_at": "2026-09-18T21:40:44Z",
"license": "openFDA — U.S. Food & Drug Administration public data",
"attribution": "Source: openFDA NDC Directory (api.fda.gov). Listing is not FDA approval."
}

🔧 How it works

Source. The actor reads api.fda.gov — endpoints: https://api.fda.gov/drug/ndc.json. Public pages and feeds only; nothing behind a login.

Transport. Plain HTTPS from the Apify platform, no proxy. robots.txt is read first and a disallowed path is never fetched. Every request carries an identified contact User-Agent.

Charging. Each fda ndc product directory is charged at the moment it is pushed (drug_product_record); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

🔧 How it works

How it behaves

The openFDA NDC endpoint is paged at the 1,000-record page law; each product carries the FDA disclaimer that listing is NOT approval. Bounded.

Source

https://api.fda.gov/drug/ndc.json

Attribution

Source: openFDA NDC Directory (api.fda.gov), U.S. FDA public data. Listing in the NDC Directory is not FDA approval and does not certify the information is correct.

What is not done. No login, no cookie or CAPTCHA bypass, no private or personal-account data, no browser automation.

💰 Pricing example

EventFreeBronzeSilverGold
Actor Start (apify-actor-start)$0.02$0.02$0.02$0.02
FDA NDC Product Directory (drug_product_record)$0.02$0.018$0.016$0.0134

Worked at the live Free-tier price:

  • 8 fda ndc product directorys: $0.02 start + 8 × $0.02 = $0.18
  • 25 fda ndc product directorys: $0.02 start + 25 × $0.02 = $0.52
  • 5000 fda ndc product directorys: $0.02 start + 5000 × $0.02 = $100.02

A run that delivers zero rows charges the $0.02 start fee only. A BLOCKED run (source refused) fails loud and charges no value event. The start fee is charged once per GB of run memory; the default run memory is 4096 MB.

Yield on the sample run: NORMAL: 50 unique rows (0 duplicates collapsed). billable=50. maxRecords is a hard ceiling on what is delivered and billed, never a target.

This actor reads public, logged-out pages and feeds published by api.fda.gov. It collects only what the source publishes to any visitor, keeps to the source's robots rules (checked on every run), identifies itself with a contact User-Agent, and does not access accounts, private data or anything behind authentication. Use the output in line with the source's terms and your local law; the intended use is B2B research and monitoring.

❓ FAQ

Q: Do I need an API key or a login?
A: No. The source (api.fda.gov) is read logged-out; the input schema has no key field and the actor carries no secrets.

Q: Why did my run return 0 rows?
A: Read the run's status message. GENUINE_EMPTY means the source was read and had nothing in scope for your input; BLOCKED means the source refused and the run failed without billing a value event — retry later or narrow the input. A zero-row run bills the start fee only.

Q: How many rows can one run return?
A: Up to maxRecords (default 5000). Raise the cap for a bigger run; you pay per delivered row.

Q: How fresh is the data?
A: Every run reads the source live at run time; nothing is cached between runs. Put it on a schedule for a continuous feed.

Q: What formats can I export?
A: The dataset downloads as JSON, CSV, Excel, XML or RSS from the run's Dataset tab or the Apify API, and any run can push to a webhook or integration.

Q: How is this different from the other product safety and approvals scrapers actors?
A: Same output shape and billing model; this one covers api.fda.gov. The siblings under Related Actors cover the other sources or slices — run several on one schedule for a combined feed.

Q: Are there rate limits?
A: The actor paces itself against the source and honours its robots rules; there is no per-buyer limit beyond your Apify plan's concurrency.

🆘 Troubleshooting

  • Run FAILED with BLOCKED → the source refused the request or changed its page shape → nothing was billed beyond the start fee; retry after a while, and if it persists open an Issue with the run id.
  • Status says CAPPED → your cap (maxRecords) was reached → raise it for a bigger run.
  • Input validation error on start → a field is outside the schema's allowed values → start from the Quick start block and change one field at a time.
  • Run TIMED-OUT → a very wide request on a slow day → raise the run timeout in Run options or narrow the input; what was delivered before the timeout is still in the dataset.

⭐ Found this useful?

If this actor saved you a manual check, a quick review on the Apify Store helps other teams find it. Feature request or a source that changed? Open it from the Issues tab — every one is read.