FDA FAERS Adverse Event Signal Report

Per-drug pharmacovigilance summary from FDA FAERS: report volume, seriousness, outcomes, top reactions and yearly trend.

Data source: openFDA FAERS adverse event API. Official public data, no API key, no login and no scraping of protected pages. Results are returned as clean, flat JSON that is ready for spreadsheets, databases, BI tools and AI agents.

What can you use it for?

• Pharmacovigilance signal screening
• Medical affairs and safety reviews
• Competitive safety comparisons between drugs
• AI agent tool for adverse event questions
• Use it as a tool from AI agents through the Apify MCP server, or schedule it and send new results to Slack, Google Sheets or a webhook

Input

Field	Name	Description
drugs	Drug names	Drug names as reported in FAERS
topReactions	Top reactions	How many reactions to return

Example input

{
  "drugs": [
    "metformin",
    "semaglutide"
  ],
  "topReactions": 10
}

Output

Each result is one dataset item with these fields: drug, totalReports, seriousReports, deathReports, seriousPct, topReactions, reportsByYear, disclaimer, generatedAt.

Example output (real result, long fields shortened)

{
  "drug": "metformin",
  "totalReports": 439104,
  "seriousReports": 293750,
  "deathReports": 36189,
  "seriousPct": 66.9,
  "topReactions": [
    {
      "reaction": "NAUSEA",
      "reports": 30159,
      "pctOfReports": 6.87
    },
    {
      "reaction": "DIARRHOEA",
      "reports": 28197,
      "pctOfReports": 6.42
    },
    {
      "reaction": "BLOOD GLUCOSE INCREASED",
      "reports": 27577,
      "pctOfReports": 6.28
    },
    {
      "reaction": "DRUG INEFFECTIVE",
      "reports": 22744,
      "pctOfReports": 5.18
    }
  ],
  "reportsByYear": {
    "2001": 1,
    "2003": 2,
    "2004": 1935,
    "2005": 2955,
    "2006": 6365,
    "2007": 7464,
    "2008": 7508,
    "2009": 7809,
    "2010": 9426,
    "2011": 11861,
    "2012": 14156,
    "2013": 14855,
    "2014": 18847,
    "2015": 29843,
    "2016": 30651,
    "2017": 29447,
    "2018": 34565,
    "2019": 34692,
    "2020": 32300,
    "2021": 27594,
    "2022": 26840,
    "2023": 26629,
    "2024": 25369,
    "2025": 25549,
    "2026": 12441
  },
  "disclaimer": "FAERS reports are unverified and do not establish causation.",
  "generatedAt": "2026-10-28T05:28:26.000Z"
}

Download the results as JSON, CSV, Excel or XML, or read them through the Apify API.

Pricing

This Actor uses pay-per-event pricing. You pay $0.05 per drug report returned, plus standard Apify platform usage, which is small because the Actor only calls lightweight APIs. You are never charged for results that are not returned. To cap spending, set a maximum cost per run in the run options.

Tips

• Start with a small max-results value to check your filters, then scale up.
• Schedule the Actor (for example daily) with a "since" date filter where available to get change alerts.
• The data comes straight from the official source, so its freshness and completeness depend on that publisher.

Disclaimer

This Actor is not affiliated with or endorsed by the data publisher. Verify critical decisions against the official source.