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from $18.00 / 1,000 result items

openFDA Drug Adverse Events Scraper

Export FAERS drug adverse-event reports from openFDA. Search 20M+ post-market safety records by drug name, reaction term (MedDRA), and received-date range. Pull report ID, patient demographics, drugs, reactions, outcomes, and source country.

Pricing

from $18.00 / 1,000 result items

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ParseForge

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💊 openFDA Drug Adverse Events Scraper

🚀 Export the official FDA drug-safety dataset in seconds. Pull 20,000,000+ post-market adverse-event reports filtered by drug name, reaction term, date range, or seriousness. No login, no daily quota juggling, no schema guesswork.

The openFDA Drug Adverse Events Scraper exports FAERS (FDA Adverse Event Reporting System) post-market safety reports and returns 26 fields per record, including report identifiers, patient demographics, full drug list, MedDRA reaction terms, outcomes, seriousness flags, and reporter geography. FAERS is the foundation of U.S. pharmacovigilance and is referenced by regulators, manufacturers, and safety researchers worldwide.

The catalog covers every FAERS submission published by the FDA, from the early 2000s to last week. This Actor turns the live safety feed into a downloadable dataset as CSV, Excel, JSON, or XML in under five minutes. Filtering happens at source, so you skip the paging and field-name spelunking entirely.

🎯 Target Audience	💡 Primary Use Cases
Pharmacovigilance teams, drug-safety researchers, regulatory affairs, medical-affairs analysts, academic epidemiologists, health journalists	Signal detection, post-market surveillance, comparator-drug benchmarks, literature reviews, dashboards for drug safety committees, investigative reporting on adverse events

📋 What the openFDA Drug Adverse Events Scraper does

Four filtering workflows in a single run:

💊 Drug-name filter. Restrict to one medicinal product, e.g. ASPIRIN, METFORMIN, or LIPITOR.
🤕 Reaction-term filter. Limit to one MedDRA term, e.g. NAUSEA, RASH, or DEATH.
📅 Date-range filter. Bound the report received date with YYYYMMDD from/to values.
⚠️ Serious-only filter. Return only reports flagged for death, hospitalization, disability, life-threatening, congenital anomaly, or other serious outcomes.

Each record includes the safety report ID and version, three FAERS date fields, six seriousness flags, patient sex and age, the structured drugs array with indication and dose, MedDRA reactions, patient outcomes, reporter country, qualification, and report-source metadata.

💡 Why it matters: drug safety signals hide in the long tail. Building a parser yourself means handling 25+ years of submission format drift, MedDRA upgrades, and shifting field names. This Actor skips that work and keeps the dataset fresh on every run.

📊 Data fields

Each record includes: companyNumber, drugs, fulfillExpediteCriteria, occurCountry, outcomes, patientAge, patientAgeUnit, patientSex, primarySourceCountry, reactions, receiptDate, receiveDate, receiver, reporterCountry, reporterQualification, reportType, safetyReportId, safetyReportVersion, scrapedAt, sender, serious, seriousnessDeath, seriousnessDisabling, seriousnessOther, transmissionDate. 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

📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
🌐 Open the Actor. Go to the openFDA Drug Adverse Events Scraper page on the Apify Store.
🎯 Set input. Pick a drug name, reaction term, or date range, and set maxItems.
🚀 Run it. Click Start and let the Actor collect your data.
📥 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.

🔗 Recommended Actors

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🏥 openFDA Medical Device Events Scraper - MAUDE post-market device adverse events
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💡 Pro Tip: browse the complete ParseForge collection for more healthcare and life-sciences scrapers.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the U.S. Food and Drug Administration. All trademarks mentioned are the property of their respective owners. Only publicly available openFDA records are collected. Safety reports do not establish causation and should not be interpreted as clinical conclusions.

🆘 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.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.

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