# openFDA Scraper — example run

**Use case:** 

Ready-to-run openFDA Scraper. Query openFDA for adverse event reports, enforcement actions and recalls across drugs, devices, food and tobacco. Filter by…

## Input

```json
{
  "domain": "drug",
  "endpoint": "event",
  "productNames": [
    "ibuprofen"
  ],
  "searchQuery": "patient.reaction.reactionmeddrapt:\"nausea\"",
  "fromDate": "2024-01-01",
  "toDate": "2025-12-31",
  "maxResults": 100
}
```

## Output

```json
{
  "recordId": {
    "label": "Report / recall ID"
  },
  "productName": {
    "label": "Product"
  },
  "manufacturer": {
    "label": "Manufacturer"
  },
  "reactions": {
    "label": "Reactions"
  },
  "seriousness": {
    "label": "Seriousness"
  },
  "classification": {
    "label": "Recall class"
  },
  "receiveDate": {
    "label": "Date"
  }
}
```

## About this Actor

This example demonstrates how to use [openFDA Scraper: Drug Events, Recalls & Device Reports](https://apify.com/arman-bd/openfda-adverse-events-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/arman-bd/openfda-adverse-events-scraper) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/arman-bd/openfda-adverse-events-scraper.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).