# Consumer Product Recall & Safety Intelligence — CPSC (`nexgendata/consumer-product-recall-intelligence`) Actor

Track US consumer product recalls from official CPSC data — product, hazard, injuries, manufacturers, and retailers. For retailers/marketplaces (delist recalled items), product-liability attorneys, and compliance teams.

- **URL**: https://apify.com/nexgendata/consumer-product-recall-intelligence.md
- **Developed by:** [NexGenData](https://apify.com/nexgendata) (community)
- **Categories:** Business, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$100.00 / 1,000 recall records

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

## Consumer Product Recall & Safety Intelligence — CPSC

Track **U.S. consumer product recalls** — products, hazards, manufacturers, and retailers — from the official CPSC (Consumer Product Safety Commission) database. No key, no scraping.

### What you get

For each recall:

- **Recall number & title**, **recall date**
- **Products** recalled and product types
- **Hazard** and reported **injuries**
- **Manufacturers** and **retailers** involved
- Remedy and a link to the official recall notice

### Who uses it

- **Retailers & marketplaces** — pull recalled products to delist and stay compliant
- **Product-liability & class-action attorneys** — sourcing recall events
- **Safety, compliance & QA teams** — monitor recalls in your category
- **Insurers & supply-chain risk** — exposure tracking

A clean, official alternative to manual recall monitoring.

### Inputs

`keyword`, `lookback_days`, `max_results`, `include_raw`

### 📊 Sample Output

![Sample output](https://api.apify.com/v2/key-value-stores/8gLgXMBveEI1tTz1z/records/consumer-product-recall-intelligence-sample)

Real recent CPSC recalls — portable vaporizers, a children's doll-stroller set, and pyrotechnics — with product, hazard, and retailers.

### 🔗 Related Actors

Part of the NexGenData official-data intelligence suite:

- **[Medical Device Intelligence](https://apify.com/nexgendata/medical-device-fda-intelligence)** — FDA device clearances & recalls
- **[Federal Litigation Intelligence](https://apify.com/nexgendata/federal-litigation-intelligence)** — product-liability dockets

### Sources & legal

Official public data from CPSC SaferProducts.gov. Public recall data only. Not legal advice.

# Actor input Schema

## `keyword` (type: `string`):

Keep only recalls matching this term (product, brand, retailer, or hazard — e.g. battery, stroller, Amazon). Empty = all.

## `lookback_days` (type: `integer`):

How far back to pull recalls (by recall date).

## `max_results` (type: `integer`):

Maximum recalls to return.

## `include_raw` (type: `boolean`):

Attach the raw CPSC record.

## Actor input object example

```json
{
  "lookback_days": 180,
  "max_results": 25,
  "include_raw": 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 = {
    "lookback_days": 180,
    "max_results": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/consumer-product-recall-intelligence").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 = {
    "lookback_days": 180,
    "max_results": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/consumer-product-recall-intelligence").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 '{
  "lookback_days": 180,
  "max_results": 25
}' |
apify call nexgendata/consumer-product-recall-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nexgendata/consumer-product-recall-intelligence",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/n0NzXYZLdgdzlZ2YO/builds/l2prbjSm1olqkIPdw/openapi.json