💊 DailyMed FDA Drug Labels Scraper

🚀 Export FDA-approved drug prescribing information in seconds. Pull 30 structured fields per label from the NLM DailyMed catalog of 140,000+ Structured Product Labeling (SPL) records. No login, no PDF parsing, no XML wrangling.

The DailyMed Drug Labels Scraper turns the NLM's official drug label database into clean, downloadable records. Each output includes brand name, generic name, manufacturer, dosage form, route, active and inactive ingredients with strengths, NDC codes, indications, dosage instructions, warnings, adverse reactions, contraindications, clinical pharmacology, storage, and the canonical link to the source SPL document. DailyMed is operated by the U.S. National Library of Medicine and reflects the FDA's authoritative prescribing information.

Coverage spans the entire FDA SPL corpus: prescription drugs, over-the-counter monograph products, controlled substances scheduled C-I through C-V, biosimilars, animal drugs, homeopathic products, and dietary supplements registered with the FDA. New labels and revisions appear in DailyMed within days of FDA action, and every run of this Actor pulls the current published version.

🎯 Target Audience	💡 Primary Use Cases
Clinical decision support teams, pharma SaaS builders, regulatory affairs, drug-safety analysts, telehealth platforms, formulary managers, e-prescribing vendors, medical AI developers	Drug label databases, NDC lookups, prescribing-info APIs, controlled-substance audits, ingredient cross-references, formulary enrichment, pharmacovigilance feeds

📋 What the DailyMed Drug Labels Scraper does

Seven filtering workflows in a single run:

• 💊 Search by drug name. Brand, generic, or partial match (e.g. ibuprofen, lipitor, metformin).
• 🧪 Search by active ingredient. Pull every label that contains a given substance.
• 🏷️ Search by NDC. Resolve a specific National Drug Code to its full label.
• 🏭 Filter by manufacturer. Restrict output to a single labeler (Pfizer, Mylan, Teva, etc.).
• 💉 Filter by DEA schedule. Controlled substances C-I through C-V.
• ✅ Filter by marketing status. NDA, ANDA generics, OTC monographs, unapproved, dietary supplements.
• 📅 Filter by publish date. Only pull labels updated on or after a given date.

Each record includes identifiers (SetID, SPL version, NDC list), product attributes (brand, generic, dosage form, route, DEA schedule, marketing status), composition (active and inactive ingredients with strengths), clinical content (indications, dosage, warnings, adverse reactions, contraindications, precautions, clinical pharmacology, how supplied, storage), and direct links to the official SPL page and PDF.

💡 Why it matters: building a drug-label pipeline yourself means parsing HL7 v3 SPL XML, decoding LOINC section codes, joining NDC product-package hierarchies, and refreshing nightly. This Actor returns flat, ready-to-load records on every run.

📊 Data fields

Each record includes: activeIngredients, brandName, dosageAndAdministration, dosageForm, effectiveDate, genericName, inactiveIngredients, indications, labelerName, manufacturer, marketingCategory, marketingStatus, ndcCodes, pdfUrl, publishedDate, route, scrapedAt, setId, splUrl, splVersion, storageAndHandling, title, warnings. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the DailyMed FDA Drug Labels Scraper page on the Apify Store.
3. 🎯 Set input. Pick a drug name, ingredient, NDC, or manufacturer and set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your labels.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the U.S. National Library of Medicine, the FDA, or any drug manufacturer. All trademarks mentioned are the property of their respective owners. Only publicly available drug label data is collected.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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