FDA Scraper for Drug Approvals, Recalls and Device Registries

FDA publishes far more than a browser can carry: thirty openFDA datasets on four different hosts, each on its own clock, none of them joined for you. We take the whole load.

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FDA Scraper
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Scoping an FDA scraping project: pick the datasets, then the join keys

A scoping call answers two questions. Which sets do you need - approvals and the Orange Book, the label corpus, recall enforcement reports, the device registries, the event streams, the warning letters and inspection results - and what do you want them joined on: application number, NDC, set id, product code, establishment identifier or firm name. From there we set a cadence per set rather than one schedule for all, backfill the history once and keep it current run by run.

The editorial and legacy hosts refuse plain automated clients, so anti-bot handling, proxy rotation and CAPTCHA solving are part of the service rather than a surcharge. We extract FDA data only from pages open to any visitor, at polite rates. Delivery is CSV, JSON, XLSX, a database drop or an FDA API of your own, with a run timestamp and source dataset on every row.

What one FDA record holds: approvals, labels, recalls, device registries

Approvals. A Drugs@FDA record is an application: the application number carrying its NDA, ANDA or BLA prefix, the sponsor name, an array of products and an array of submissions. Each product has a product number, brand name, active ingredients as name and strength pairs, dosage form, route, marketing status and a therapeutic equivalence code, plus reference drug and reference standard flags. Each submission has a type of ORIG or SUPPL, a number, a status and status date, a review priority, a class code such as Labeling or Efficacy, property codes such as Orphan, and application documents pointing at the approval letter and label PDFs. The Orange Book repeats the product with its equivalence codes, application type A or N and the approval date.

Labeling. A label record is a Structured Product Label: a set id that survives every revision, an id and version for the specific submission, an effective time, and named sections rather than free prose - boxed warning, indications and usage, dosage and administration, contraindications, warnings and cautions, adverse reactions, drug interactions, clinical pharmacology, use in specific populations, how supplied, the medication guide and the principal display panel. Consumer products carry their own set: purpose, do not use, stop use, keep out of reach of children.

Recalls. An enforcement report carries a recall number, an event id grouping products in one action, a classification of Class I, II or III, a status, the recalling firm and its full address, the reason for recall, the product description, code info such as lot and expiry, product quantity, distribution pattern, and four dates: initiation, classification, report and termination.

Devices. A cleared 510(k) is a K number with applicant, address, country code, device name, three-letter product code, advisory committee, clearance type, dates received and decided, and a decision code. A PMA adds supplement number, type and reason. A unique device identifier record is the deepest: primary and secondary identifiers with their issuing agency, brand name, version or model, labeler DUNS, GMDN terms with code and definition, product codes carrying regulation number and device class, sterilization and MRI safety, and flags for prescription, over the counter, kit and single use.

What one FDA record holds: approvals, labels, recalls, device registries
Warning letters, Form 483 citations and FDA inspection outcomes

Warning letters, Form 483 citations and FDA inspection outcomes

The enforcement record is the other half of the FDA picture. Warning letters sit in a filtered table with posted date, letter issue date, company name, issuing office, subject and links to the response and closeout letters; the table ran to roughly 3,700 rows in September 2026. Each letter page adds a MARCS-CMS number, a reference number such as 320-26-120, the delivery method, the recipient name and title, the ten-digit establishment identifier of the inspected site, the inspection dates and the cited parts of 21 CFR. Trade secrets are blanked in place as (b)(4), so the text is usable but gapped.

Inspection outcomes sit on the compliance dashboard, refreshed weekly and limited to final actions. Each row is a project area within an inspection, classified No Action Indicated, Voluntary Action Indicated or Official Action Indicated, so one visit can produce several classifications. Citations are published separately, keyed to the inspection and the establishment identifier, alongside Form 483 observations, compliance actions such as injunctions and seizures, and import refusals by country, port and product code.

Around the edges sit the sets people forget: complete response letters as OCR text of scanned PDFs, drug shortage entries with availability status, the national drug code directory and its NSDE package companion, UNII and substance records, tobacco product problem reports, cosmetic and food adverse events from CAERS, and animal drug events.

Inside fda.gov, accessdata and datadashboard: how the agency splits its data

FDA is the United States Food and Drug Administration, and its public record lives on several hosts that behave nothing alike. www.fda.gov is the editorial site, organized by eight regulated product areas - food, drugs, medical devices, radiation-emitting products, vaccines blood and biologics, animal and veterinary, cosmetics, tobacco - and carrying the warning letter and recall listings as filtered tables. accessdata.fda.gov holds the older search applications: Drugs@FDA, the Orange Book, the 510(k) and PMA databases, device classification, registration and listing, MAUDE. datadashboard.fda.gov is the compliance layer: inspections, citations, compliance actions, import refusals.

Addressing differs by host, and that shapes any FDA scraper. A warning letter is the company slug, the MARCS-CMS case number and the issue date, as in /warning-letters/jabil-inc-731037-08272026. accessdata pages are ColdFusion scripts driven by form parameters - KNumber, ProductCode, Applicant, DecisionDateFrom, Panel, Decision - so a device query is a form shape, not a path.

Nothing sits behind a login, and a sitemap index fans out into dozens of child files. Every record described below is open to any visitor.

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dev_w
25

Developers

customers
500+

Customers worldwide

pages
1 500 000 000+

Pages extracted

stime
15000+

Hours saved for our clients

Plans

FDA Scraping Plans and Pricing

Airplane

€199 / one-time

setup fee - included

Data limits100,000
Frequencyone-time
Run timeup to 5 days
Data storing7 days

Helicopter

€169 / mo

setup fee €499

Data limits250,000
Frequencymonthly
Run timeup to 5 days
Data storing14 days

Glasses

€229 / mo

setup fee €499

Data limits1,000,000
Frequencyweekly
Run timeup to 5 days
Data storing30 days

DNA

€549 / mo

setup fee €799

Data limits3,000,000
Frequency3 times daily
Run timesame day
Data storing90 days

Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.

Full plan details →

Public data, hard delivery: deep records, refresh clocks and joins

Nothing here is locked, which is exactly why it gets underestimated. The records are deep and nested - an application carries arrays of products and submissions, a label its named sections from boxed warning to principal display panel, a unique device identifier record its GMDN terms, product codes and safety flags - and each host addresses them differently, so each needs its own collector.

The clocks are the second trap. Approvals and the drug directory refresh on working days, labels, recalls and device event reports weekly, clearances and classifications monthly, and the drug, food and animal event sets quarterly with a stated lag of three months or more. Scrape FDA sources on one schedule and half the feed is stale while the other half re-downloads unchanged rows. Coverage windows differ too: approvals reach back to 1939, device clearances to 1976, recalls and drug adverse events to 2004, unique device identifiers to 2013.

Then the joins. The harmonized block carrying the application number, NDC codes, UNII, RxCUI and pharmacologic class is attached only where the agency could match it: about a third of label records have it, and fewer than one drug recall in five. Everything else has to be matched on firm name, product description and lot text. There is no FDA price field anywhere in these sets either - money is a dimension you bring yourself, keyed on NDC or application number.

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Who builds and runs your FDA data feed

ScrapeIt runs the whole job as a managed service. We design the collectors, schedule them per dataset, monitor the runs, and repair them when a table, a form or a field name changes. Your side receives files or an endpoint and keeps no scraping engineers of its own.

We are not affiliated with FDA or any part of the Department of Health and Human Services. Nothing behind a login is touched. Adverse event reports describe patients only in de-identified form - age, sex, outcome, coded reaction - and we work with those public sets exactly as published and never try to re-identify anyone.

FAQ

Do you offer an FDA API for drug, device and recall data?

Yes. The ScrapeIt FDA API returns application numbers, SPL label sections, recall classifications, 510(k) decisions and warning letters as JSON from an endpoint we host, refreshed on the cadence you set for each dataset. The same data also comes as CSV or XLSX files or straight into your database, with approvals, labels, recalls, device registries and the enforcement record on one schema.

How often is FDA data refreshed, and which sets move fastest?

Each set has its own clock. Approvals and the national drug code directory refresh on working days; labels, recall enforcement reports, device adverse events, device recalls and unique device identifiers weekly; 510(k) clearances, premarket approvals, classifications, registration and listing and the Orange Book monthly; drug, food and animal adverse events quarterly, with the agency itself warning that the drug event set can lag a quarter or more. We poll each one on its own cadence and stamp every row with the update date of the set it came from, so a diff between two runs is real movement and not re-delivery.

Which FDA fields do you extract, and how do the datasets join together?

Identifiers first, because they are what make the sets one graph: application number, product and package NDC, SPL set id and version, UNII and RxCUI, product code, K number, PMA number, device identifier with its issuing agency, recall number and event id, establishment identifier. Then the payload - ingredients and strengths, marketing status, therapeutic equivalence codes, label sections, recall classification and reason, decision codes and dates, GMDN terms. Where the harmonised block is missing, and on labels and drug recalls it usually is, we match on firm, product description and lot text and flag the confidence.

Can you backfill FDA history and keep it current, and in which formats?

Yes, and usually you want both. We backfill the history once - approvals back to 1939, device clearances to 1976, recalls and drug adverse events to 2004, unique device identifiers to 2013 - and keep it current with scheduled runs on each set's own clock. We normalize history and updates into one schema and deliver CSV, JSON, XLSX, Parquet, a database drop or a hosted endpoint. Nested arrays such as products, submissions, reactions and identifiers can be shipped nested or flattened into child tables, whichever your warehouse wants.

Is scraping FDA data legal, and do you touch patient information?

Yes. Approvals, labels, recalls, device registries, warning letters and inspection outcomes are published for any visitor. We collect only publicly available data - everything a visitor can see on the FDA websites - and we collect it legally. On people: the public event sets are de-identified by design, we take them as published, and we do not attempt to re-identify anyone.

How does it Work?

Step 1 - Make a Request

You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.

Step 2 - Configuring Custom Web Crawlers

Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.

Step 3 - Collect and Deliver

Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.

Step 4 - Maintain and Support

Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.

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FDA data from €169/month. Free project assessment, reply within 1 business day.

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