# Fda Drug Recalls (`jeeves_is_my_copilot/fda-drug-recalls`) Actor

Public data actor with normalized output.

- **URL**: https://apify.com/jeeves\_is\_my\_copilot/fda-drug-recalls.md
- **Developed by:** [Alexander Abernathy](https://apify.com/jeeves_is_my_copilot) (community)
- **Categories:** Business, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## 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

## OpenFDA Drug Recalls

Fetch FDA drug recall and enforcement action data from the OpenFDA public API.

### Best for

This actor retrieves drug recall information, safety alerts, and enforcement actions from the FDA's OpenFDA database.

### Input

| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `queries` | string\[] | Yes | - | Search queries for drug recalls |
| `maxItemsPerQuery` | integer | No | 100 | Max records per query (1-1000) |
| `includeRaw` | boolean | No | false | Include raw payload in output |

#### Example Queries

- `"drug recall"` - General drug recalls
- `"safety alert"` - Safety-related recalls or enforcement actions
- `"ACE inhibitor recall"` - Therapeutic-class-specific recall search

### Output

| Field | Type | Description |
|-------|------|-------------|
| `source` | string | Always `openfda_drug_recalls` |
| `query` | string | Original search query |
| `recordType` | string | `recall` or `error` |
| `title` | string | Drug/product name |
| `identifier` | string | FDA recall number |
| `date` | string | Recall initiation date (`YYYY-MM-DD` when available) |
| `url` | string | Link to FDA recall page |
| `summary` | string | Recall reason and details |
| `company` | string | Recalling firm when available |
| `recallClass` | string | Structured FDA recall classification (`Class I/II/III`) |
| `status` | string | Recall status when available |
| `apiStatus` | string | `ok`, `error`, or omitted |

### Example input

```json
{
  "queries": ["drug recall", "ACE inhibitor recall"],
  "maxItemsPerQuery": 50,
  "includeRaw": false
}
```

### Example output

```json
[
  {
    "source": "openfda_drug_recalls",
    "query": "ACE inhibitor recall",
    "recordType": "recall",
    "title": "Lisinopril 10mg Tablets",
    "identifier": "D-1234-2024",
    "date": "2024-02-15",
    "url": "https://www.fda.gov/safety/recalls",
    "summary": "Recall: D-1234-2024 | Classification: Class II | Firm: PharmaCorp Inc. | Reason: Overfill detected | Status: Ongoing",
    "company": "PharmaCorp Inc.",
    "recallClass": "Class II",
    "status": "Ongoing"
  }
]
```

### Notes

- Data sourced from the OpenFDA public API.
- The actor preserves broad queries like `drug recall`, but more specific phrases can narrow results.
- Check <https://www.fda.gov/safety/recalls> for official recall notices and context.

***

**Version:** 0.2.0\
**Author:** OpenClaw/Apify

# Actor input Schema

## `queries` (type: `array`):

Search queries for OpenFDA drug recall data (e.g., 'drug recall', 'medication safety alert').

## `maxItemsPerQuery` (type: `integer`):

Maximum number of recall records to return per query.

## `includeRaw` (type: `boolean`):

If true, include raw source payloads in output items.

## Actor input object example

```json
{
  "queries": [
    "drug recall",
    "medication safety alert"
  ],
  "maxItemsPerQuery": 100,
  "includeRaw": false
}
```

# 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 = {
    "queries": [
        "drug recall",
        "medication safety alert"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("jeeves_is_my_copilot/fda-drug-recalls").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 = { "queries": [
        "drug recall",
        "medication safety alert",
    ] }

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

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

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

```

## CLI example

```bash
echo '{
  "queries": [
    "drug recall",
    "medication safety alert"
  ]
}' |
apify call jeeves_is_my_copilot/fda-drug-recalls --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=jeeves_is_my_copilot/fda-drug-recalls",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/RK38Hv1j0mUaDydnS/builds/EYQsLNDXLep7Qtn1j/openapi.json