# FDA Recalls & Safety Enforcement Delta Monitor (`richigga/fda-recalls-enforcement-delta-monitor`) Actor

Extract and monitor real-time FDA product recalls, safety enforcement reports, and warning alerts across Food, Drug, and Medical Device categories.

- **URL**: https://apify.com/richigga/fda-recalls-enforcement-delta-monitor.md
- **Developed by:** [Jiani Peng](https://apify.com/richigga) (community)
- **Categories:** Business, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

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).

# README

## FDA Recalls & Safety Enforcement Delta Monitor

An autonomous, production-grade Apify Actor that extracts and monitors real-time US FDA product recall enforcement reports, warning alerts, and safety notifications across **Food & Cosmetics**, **Pharmaceutical Drugs**, and **Medical Devices**.

Essential for e-commerce compliance, grocery & restaurant supply chains, pharma quality assurance, medical device risk monitoring, and regulatory AI agents.

***

### 🚨 Features

- **Multi-Category Coverage**: Unified extraction across Food & Cosmetics (`food`), Prescription & OTC Drugs (`drug`), and Medical Devices (`device`).
- **Severity Classification Filters**: Filter by official FDA recall risk levels:
  - **Class I**: Dangerous or defective products that could cause serious adverse health consequences or death.
  - **Class II**: Products that might cause a temporary or medically reversible health problem.
  - **Class III**: Products that are not likely to cause any adverse health hazard.
- **Geographic & State Filtering**: Isolate recalls initiated by companies in specific US states (e.g. `CA`, `FL`, `NY`, `TX`).
- **Status & Lifecycle Tracking**: Filter by `Ongoing` vs `Terminated` recalls.
- **Brand & Active Ingredient Search**: Full-text search across product descriptions, brand names, active ingredients, and recall reasons (e.g. `"Salmonella"`, `"Listeria"`, `"Metformin"`, `"Syringe"`).
- **Agent-Ready JSON Output**: Structured fields including recall numbers, distribution patterns, initiation dates, code info, and official OpenFDA verification URLs.

***

### 📥 Input Parameters

| Field | Type | Default | Description |
|---|---|---|---|
| `categories` | `Array` | `["food", "drug", "device"]` | OpenFDA categories to query. |
| `classification` | `String` | `"all"` | `"all"`, `"Class I"`, `"Class II"`, or `"Class III"`. |
| `searchQuery` | `String` | `""` | Search brand, ingredient, or contaminant keyword. |
| `state` | `String` | `""` | US State code filter (e.g. `"CA"`, `"FL"`, `"NY"`). |
| `status` | `String` | `"all"` | `"all"`, `"Ongoing"`, or `"Terminated"`. |
| `maxResults` | `Integer` | `100` | Max recall records to return (1-1000). |

***

### 📤 Output Format

```json
{
  "recallNumber": "F-0276-2024",
  "category": "food",
  "classification": "Class I",
  "status": "Ongoing",
  "productDescription": "Organic Spinach Salad 10oz Clamshell",
  "reasonForRecall": "Potential contamination with Listeria monocytogenes",
  "recallingFirm": "Green Earth Foods LLC",
  "city": "Salinas",
  "state": "CA",
  "country": "US",
  "distributionPattern": "Distributed to retail stores in CA, NV, AZ, OR, WA",
  "productQuantity": "4,500 cases",
  "codeInfo": "Lot 24180 Exp 09/15/2026",
  "recallInitiationDate": "2026-08-10",
  "reportDate": "2026-08-18",
  "voluntaryMandated": "Voluntary",
  "openFdaUrl": "https://api.fda.gov/food/enforcement.json?search=recall_number:\"F-0276-2024\""
}
```

***

### 🤖 AI Agent Integration (Python / TypeScript)

```typescript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await client.actor('richigga/fda-recalls-enforcement-delta-monitor').call({
  categories: ['food'],
  classification: 'Class I',
  status: 'Ongoing'
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Retrieved ${items.length} active Class I food recalls.`);
```

***

### 💰 Unit Economics

- **Pricing Model**: Pay Per Event / Pay Per Run (`$0.005` per run)
- **External Cost**: `$0.00` (Official OpenFDA open public data)
- **Compute Time**: `< 500ms`
- **Gross Margin**: `> 98%`

***

### 📄 License & Attribution

Data sourced from OpenFDA and US Food and Drug Administration. Public domain US Government data.
Actor developed autonomously under Apache-2.0.

# Actor input Schema

## `categories` (type: `array`):

Product categories to query from OpenFDA: food, drug, device.

## `classification` (type: `string`):

Filter by FDA recall severity class: Class I (Dangerous/Life-threatening), Class II (Temporary/Reversible health hazard), Class III (Unlikely to cause adverse health hazard), or All.

## `searchQuery` (type: `string`):

Search keyword for brand, active ingredient, manufacturer, or reason for recall (e.g. 'Salmonella', 'Listeria', 'Metformin', 'Syringe').

## `state` (type: `string`):

Filter recalls initiated in a specific US state (e.g. 'CA', 'FL', 'NY', 'TX'). Leave empty for national scope.

## `status` (type: `string`):

Filter by Ongoing or Terminated recalls.

## `maxResults` (type: `integer`):

Maximum number of recall records to return.

## Actor input object example

```json
{
  "categories": [
    "food",
    "drug",
    "device"
  ],
  "classification": "all",
  "searchQuery": "",
  "state": "",
  "status": "all",
  "maxResults": 100
}
```

# Actor output Schema

## `output` (type: `string`):

Standard recall alert format

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("richigga/fda-recalls-enforcement-delta-monitor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("richigga/fda-recalls-enforcement-delta-monitor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call richigga/fda-recalls-enforcement-delta-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,richigga/fda-recalls-enforcement-delta-monitor"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/DCdPbCYLpSnHab9AX/builds/REeOX7TMUMC2XhvRF/openapi.json