# Serious FDA FAERS Headache Reports

**Use case:** 

Search serious FDA FAERS reports that mention headache. See report details, reactions, drugs, dates, and seriousness data. Up to 100 reports.

## Input

```json
{
  "target": "reaction",
  "drugValues": [
    "ibuprofen"
  ],
  "reactionTerms": [
    "headache"
  ],
  "seriousOnly": true,
  "maxItems": 100
}
```

## Output

```json
{
  "reportId": {
    "label": "Report ID",
    "format": "string"
  },
  "reportVersion": {
    "label": "Report version",
    "format": "integer"
  },
  "dates": {
    "label": "Report dates",
    "format": "object"
  },
  "reportType": {
    "label": "Report type",
    "format": "string"
  },
  "seriousness": {
    "label": "Seriousness",
    "format": "object"
  },
  "patient": {
    "label": "Patient",
    "format": "object"
  },
  "geography": {
    "label": "Geography",
    "format": "object"
  },
  "reactions": {
    "label": "Reactions",
    "format": "array"
  },
  "drugs": {
    "label": "Drugs",
    "format": "array"
  },
  "reporter": {
    "label": "Reporter",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [FDA FAERS Adverse Events](https://apify.com/maximedupre/fda-faers) with a specific input configuration. Visit the [Actor detail page](https://apify.com/maximedupre/fda-faers) to learn more, explore other use cases, and run it yourself.


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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/maximedupre/fda-faers.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).