# Product Recall Check: CPSC, FDA & RappelConso (US + France) (`calcio_you/product-recall-check`) Actor

Is this product recalled? Searches official US CPSC, openFDA (food, drugs, devices) and France RappelConso recall notices by keyword, brand or exact EAN/UPC barcode, normalised into one list. Built for shopping agents and marketplaces. Pay per check.

- **URL**: https://apify.com/calcio_you/product-recall-check.md
- **Developed by:** [Novarithm](https://apify.com/calcio_you) (community)
- **Categories:** E-commerce, AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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

## Product Recall Check: CPSC, FDA & RappelConso (US + France)

**Is this product recalled?** One call searches the official recall notices of the **US CPSC** (consumer products), **openFDA** enforcement reports (food, drugs, medical devices) and France's **RappelConso** (DGCCRF / DGAL), and returns one normalised list: date, product, brand, reason, hazard, what the consumer should do, identifiers and the official link.

Two checks:

1. **Recall search** by product, brand or model (e.g. `stroller`, `peanut butter`, `Facom`), filtered by market (US, France or both) and period.
2. **Barcode check**: validates the EAN / UPC / GTIN check digit and returns **exact barcode matches** across the three sources.

Data is fetched **live** from the official public sources.

### Use cases

- A shopping agent checks a product before recommending or buying it.
- A marketplace screens new listings and resale items for recalled products.
- A customer-service agent answers "is my product affected?".
- A compliance or quality team monitors recalls on its brands.

### Input

| Field | What it does |
|---|---|
| `searches` | Products, brands or models to search. |
| `gtins` | Barcodes (8, 12, 13 or 14 digits). |
| `market` | `all` (default), `us` or `fr` for searches. |
| `days` | Look-back period in days (default 365). |
| `limit` | Max results per source (default 10). |
| `queries` | Advanced: `[{"endpoint": "recall_search", "params": {"query": "salmonella", "market": "us", "days": 90}}]` |
| `maxQueries` | Safety cap on checks per run (default 1000). |

Example:

```json
{
  "searches": ["stroller"],
  "gtins": ["3662424096594"],
  "market": "all"
}
```

### Output

One dataset item per check. Shortened example from a real check:

```json
{
  "endpoint": "gtin_recall",
  "input": {"gtin": "3662424096594"},
  "ok": true,
  "result": {
    "recalled": true,
    "count": 1,
    "results": [{
      "source": "RappelConso (FR)",
      "date": "2026-10-22",
      "title": "tournevis facom atp2x125vepb",
      "brand": "facom",
      "hazard": "choc électrique",
      "consumer_action": "ne plus utiliser le produit; rapporter le produit au point de vente",
      "url": "https://rappel.conso.gouv.fr/fiche-rappel/23911/interne"
    }],
    "sources_checked": ["RappelConso (FR)", "CPSC (US)", "openFDA (US)"],
    "note": "Exact barcode match. A recall often targets specific lots / dates: check 'title', 'identifiers' and the official notice."
  },
  "charged_event": "gtin-recall",
  "price_usd": 0.01
}
```

French notices keep their original wording (as published by RappelConso).

### Pricing

Pay per successful check, **$0.01** per search or barcode. Invalid barcodes, invalid input and source errors are **never charged**.

### Limits (honest)

- US and France only (EU Safety Gate, UK and Canada: next version).
- Keyword search is text matching: check model, lot and dates before stating that an item is affected.
- openFDA covers enforcement reports, not every safety alert.

Also available pay-per-call over x402 (USDC on Base) and MCP: https://gogeta2-u35175.vm.elestio.app/agents/catalog. Contact: contact@novarithm.com

***

Want this whole store under your brand? → https://gogeta2-u35175.vm.elestio.app/agents/clones/en/cases/api-store-for-ai-agents/

# Actor input Schema

## `searches` (type: `array`):

Product, brand or model (e.g. stroller, peanut butter, Facom). One charged search per entry.

## `gtins` (type: `array`):

8, 12, 13 or 14-digit barcodes, check digit validated (invalid barcodes are not charged). One charged check per barcode.

## `market` (type: `string`):

Which official sources the keyword searches query.

## `days` (type: `integer`):

Only recalls published in the last N days (keyword searches).

## `limit` (type: `integer`):

Per source, per search.

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

e.g. \[{"endpoint": "recall_search", "params": {"query": "salmonella", "market": "us", "days": 90}}, {"endpoint": "gtin_recall", "params": {"gtin": "3017620422003"}}]

## `maxQueries` (type: `integer`):

Safety cap: only the first N checks of the input are processed.

## Actor input object example

```json
{
  "searches": [
    "stroller"
  ],
  "gtins": [
    "3662424096594"
  ],
  "market": "all",
  "days": 365,
  "limit": 10,
  "maxQueries": 1000
}
```

# Actor output Schema

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

All result items in the default dataset (JSON).

# 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 = {
    "searches": [
        "stroller"
    ],
    "gtins": [
        "3662424096594"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("calcio_you/product-recall-check").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 = {
    "searches": ["stroller"],
    "gtins": ["3662424096594"],
}

# Run the Actor and wait for it to finish
run = client.actor("calcio_you/product-recall-check").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 '{
  "searches": [
    "stroller"
  ],
  "gtins": [
    "3662424096594"
  ]
}' |
apify call calcio_you/product-recall-check --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,calcio_you/product-recall-check"
        }
    }
}
```

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/PCY2ppcWUxuHsXfdx/builds/YirEGk47PclCd0mRd/openapi.json