# FDA Top Recalling Device Firms Analytics

**Use case:** 

Aggregate FDA device recalls into firm rankings: dataset, endpoint, field, term, count. Counts recalling firms since 2025 instead of listing every recall.

## Input

```json
{
  "searchType": "deviceRecalls",
  "outputMode": "analytics",
  "countField": "recalling_firm",
  "keyword": "insulin",
  "classification": "",
  "recallStatus": "",
  "seriousOnly": false,
  "dateFrom": "2025-01-01",
  "maxResults": 200,
  "deduplicateResults": true,
  "monitorMode": false,
  "monitorKey": "default",
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "urlsFromFile": ""
}
```

## Output

```json
{
  "type": {
    "label": "Type"
  },
  "dataset": {
    "label": "Dataset"
  },
  "endpoint": {
    "label": "Endpoint"
  },
  "field": {
    "label": "Field"
  },
  "term": {
    "label": "Value"
  },
  "count": {
    "label": "Count"
  }
}
```

## About this Actor

This example demonstrates how to use [FDA Scraper - Recalls, Adverse Events & Device Data](https://apify.com/scrapesage/fda-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapesage/fda-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/scrapesage/fda-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).