# Food recalls, including undeclared allergens

**Use case:** 

US food recalls published by the FDA since June 2026, with the recalling firm, the product, the reason and the risk class. Undeclared allergens are the single most common cause and the one that moves fastest, because a mislabelled product can reach a shelf before anyone notices. Grocers, importers and food producers use this to check their own catalogue against what the FDA has just pulled.

## Input

```json
{
  "feeds": [
    "food-recalls"
  ],
  "since": "2026-06-01",
  "firm": "",
  "product": "",
  "classification": "",
  "includeRaw": false,
  "maxItems": 100
}
```

## Output

```json
{
  "reportedDate": {
    "label": "Reported",
    "format": "string"
  },
  "feedLabel": {
    "label": "Feed",
    "format": "string"
  },
  "firm": {
    "label": "Recalling firm",
    "format": "string"
  },
  "product": {
    "label": "Product",
    "format": "string"
  },
  "classification": {
    "label": "Class",
    "format": "string"
  },
  "reason": {
    "label": "Reason",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "state": {
    "label": "State",
    "format": "string"
  },
  "recallNumber": {
    "label": "Recall #",
    "format": "string"
  },
  "sourceUrl": {
    "label": "FDA database",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [openFDA Recalls Scraper — Drug, Device & Food Safety](https://apify.com/publicdata/openfda-recalls-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/publicdata/openfda-recalls-scraper.md) 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/publicdata/openfda-recalls-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).