# Consumer Product Recalls Monitor: FDA, CPSC & NHTSA (`wintersworks/us-product-recalls-monitor`) Actor

Input: keywords and source filters. Output: a unified feed of official US product recalls (FDA food/drug/device, CPSC consumer products, NHTSA vehicles). $2 per 1,000 recalls. New-only mode for scheduled alerts.

- **URL**: https://apify.com/wintersworks/us-product-recalls-monitor.md
- **Developed by:** [Winters Works](https://apify.com/wintersworks) (community)
- **Categories:** News, Automation, 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 recall 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Consumer Product Recalls Monitor: FDA, CPSC & NHTSA

Track **official US product recalls** from one Actor: **FDA** food, drug and medical-device enforcement reports (openFDA), **CPSC** consumer product recalls (SaferProducts.gov) and **NHTSA** vehicle recalls. Results come back as one clean, flat, consistent dataset. Turn on **Only new recalls** and schedule it to get a recall alert feed that never repeats itself.

All data comes from free, official US government APIs. No scraping, no proxies, no login.

### Who uses it

- **Compliance and quality teams**: watch for recalls touching your ingredients, suppliers or product categories.
- **Retailers and grocers**: catch Class I food and consumer product recalls before shelves are affected.
- **Amazon, Walmart and eBay sellers**: monitor CPSC and FDA recalls on the product types you sell, and avoid listing recalled items.
- **Journalists and researchers**: pull every recall by firm, hazard or date range into CSV or JSON.
- **Law firms**: find new recalls (product liability, class actions) by manufacturer or keyword as they are published.
- **Insurers, importers, 3PLs, consumer apps**: feed recall data into your own systems via API.

### Features

- Five sources: `fda-food`, `fda-drug`, `fda-device`, `cpsc`, `nhtsa`.
- Date range or "last N days" (default 30).
- Keyword filter (product, description, reason, firm) and firm/manufacturer filter.
- FDA classification filter (Class I / II / III).
- NHTSA lookup by make, model and model year.
- **Only new mode**: remembers seen recall IDs in a named key-value store, so scheduled runs return only new recalls.
- Optional raw record for each result.

### Input example

```json
{
  "sources": ["cpsc", "fda-food"],
  "lastNDays": 14,
  "keywords": ["peanut", "undeclared", "lithium"],
  "fdaClassifications": ["Class I"],
  "maxResults": 200,
  "onlyNew": true
}
```

NHTSA example (make and model year are required, model optional):

```json
{ "sources": ["nhtsa"], "nhtsaMake": "Ford", "nhtsaModel": "F-150", "nhtsaModelYears": ["2020", "2021"] }
```

The default input (no changes) returns up to 100 recalls from the last 30 days across CPSC and FDA, in under a minute. NHTSA is queried per vehicle, so the date range is not applied to it.

### Output example

```json
{
  "source": "cpsc",
  "recallId": "27017",
  "date": "2026-10-08",
  "product": "Decathlon America Recalls Van Rysel GRVL AF Bicycles Due to Risk of Serious Injury or Death from Crash Hazard",
  "description": "This recall involves adult multi-terrain gravel bicycles ...",
  "reason": "The recalled bicycles' front lock nut can loosen during use, causing the front wheel to dislodge ...",
  "firm": "Decathlon America LLC, of San Francisco, California",
  "classification": "None reported",
  "distribution": "Recreational Equipment, Inc. (REI) ...",
  "remedy": "Consumers should stop using the recalled bicycles immediately ...",
  "url": "https://www.cpsc.gov/Recalls/2027/..."
}
```

Fields: `source, recallId, date, product, description, reason, firm, classification, distribution, remedy, url` (plus `raw` when enabled). For FDA, `classification` is Class I/II/III and `distribution` is the distribution pattern (states). For CPSC, `classification` holds reported injuries. For NHTSA it flags "Park it" / "Park outside" warnings.

### How to schedule recall alerts

1. Set your filters and tick **Only new recalls**.
2. Click **Schedule** (Actor page, top right) and pick a cron such as `0 8 * * *` for daily.
3. Add an integration (email, Slack, Google Sheets, webhook, Zapier, Make) triggered on run success.
4. Each run now returns only recalls not seen before. Use a different **State store name** per monitor.

### Pricing

Pay per result: about **$2 per 1,000 recalls** (event `recall-result`). You only pay for recalls actually returned; set Max results to cap spend. Only new mode keeps scheduled runs cheap.

### FAQ

**Where does the data come from?** Official US government APIs: openFDA (FDA enforcement reports), CPSC Recalls API and NHTSA recalls API.

**How fresh is it?** As fresh as the agencies publish. FDA enforcement reports update weekly; CPSC and NHTSA update as recalls are posted.

**Do I need an API key?** No. An optional openFDA key raises rate limits for very large pulls.

**Why did NHTSA return nothing?** NHTSA needs a make and at least one model year. Leave model empty to check every model of that make and year.

**Is this legal advice or medical advice?** No. Data is provided as published by agencies and may be incomplete. Verify with the source URL before acting.

**Can I get the full original record?** Enable **Include raw record**.

Built by Winters Works. Issues and feature requests are welcome in the Issues tab.

### Is it legal? (public data only)

Yes, in the sense that it only reads public or official data: official US government APIs (openFDA, CPSC, NHTSA). It does not log in, bypass paywalls or access private data. You remain responsible for how you use the results, including privacy, copyright and marketing laws. Not affiliated with or endorsed by the data sources.

### Quick start and cost

Run it with the prefilled input to see sample output in seconds; the default run costs only a few cents at most. Then adjust the input and schedule it.

### Use from code and AI agents

Call it from any language with the Apify API, or let an AI agent find and run it through the [Apify MCP server](https://mcp.apify.com).

```python
from apify_client import ApifyClient
run = ApifyClient("<YOUR_APIFY_TOKEN>").actor("wintersworks/us-product-recalls-monitor").call(run_input={"sources": ["cpsc", "fda-food", "fda-drug", "fda-device"], "lastNDays": 30, "maxResults": 10})
items = ApifyClient("<YOUR_APIFY_TOKEN>").dataset(run["defaultDatasetId"]).list_items().items
```

Results land in the run's dataset (JSON, CSV, Excel). Set a maximum charge per run in the run options to cap spend.

### About

Built and maintained by Winters Works. Questions or feature requests: open an issue on the Actor page or email wintersworks.shop@gmail.com.

# Actor input Schema

## `sources` (type: `array`):

Which recall databases to query. NHTSA (vehicles) additionally needs a make and model year below.

## `lastNDays` (type: `integer`):

Return recalls from the last N days. Ignored if Date from is set. Not applied to NHTSA (which is queried by vehicle).

## `dateFrom` (type: `string`):

YYYY-MM-DD. Overrides Last N days.

## `dateTo` (type: `string`):

YYYY-MM-DD. Defaults to today.

## `keywords` (type: `array`):

Keep recalls whose product, description, reason or firm contains ANY of these words (case-insensitive). Leave empty for all.

## `firms` (type: `array`):

Keep recalls whose recalling firm or manufacturer contains ANY of these names.

## `fdaClassifications` (type: `array`):

Class I = most serious. Leave empty for all classes. Applies to FDA sources only.

## `nhtsaMake` (type: `string`):

e.g. Ford. Required for NHTSA.

## `nhtsaModel` (type: `string`):

e.g. F-150. If empty, all models of the make are checked.

## `nhtsaModelYears` (type: `array`):

e.g. 2020, 2021. Required for NHTSA.

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

Maximum number of recalls to return (you are charged per result).

## `onlyNew` (type: `boolean`):

Remember recall IDs in a named key-value store and emit only recalls not seen in earlier runs. Ideal for scheduled alerts.

## `stateStoreName` (type: `string`):

Named key-value store used by Only new mode. Use different names for different monitors.

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

Add the original API record in a 'raw' field.

## `fdaApiKey` (type: `string`):

Raises openFDA rate limits. Free at open.fda.gov.

## Actor input object example

```json
{
  "sources": [
    "cpsc",
    "fda-food",
    "fda-drug",
    "fda-device"
  ],
  "lastNDays": 30,
  "maxResults": 10,
  "onlyNew": false,
  "stateStoreName": "recalls-monitor-seen",
  "includeRaw": false
}
```

# Actor output Schema

## `results` (type: `string`):

All result items from the run's default dataset.

# 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 = {
    "sources": [
        "cpsc",
        "fda-food",
        "fda-drug",
        "fda-device"
    ],
    "maxResults": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("wintersworks/us-product-recalls-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 = {
    "sources": [
        "cpsc",
        "fda-food",
        "fda-drug",
        "fda-device",
    ],
    "maxResults": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("wintersworks/us-product-recalls-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 '{
  "sources": [
    "cpsc",
    "fda-food",
    "fda-drug",
    "fda-device"
  ],
  "maxResults": 10
}' |
apify call wintersworks/us-product-recalls-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,wintersworks/us-product-recalls-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/PH5AV8J71rxNSFWBZ/builds/kyM24jGzhEZdMgRzG/openapi.json