# France Restaurant Hygiene Ratings API (Alim'confiance) (`jet_mythology/france-food-hygiene-inspections`) Actor

Official hygiene inspection results of French restaurants, bakeries, butchers and food plants (Alim'confiance): rating, date, SIRET, address and GPS. Filter by rating, activity and area, or get daily alerts on new inspections.

- **URL**: https://apify.com/jet_mythology/france-food-hygiene-inspections.md
- **Developed by:** [jet_mythology](https://apify.com/jet_mythology) (community)
- **Stats:** 2 total users, 1 monthly users, 91.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 inspection returneds

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

## France Restaurant Hygiene Ratings API (Alim'confiance)

**Every official hygiene inspection of French restaurants and food businesses, with SIRET and GPS.** Find the establishments rated « à améliorer » near you the day they are published, or add hygiene ratings to your app or map.

**No code needed:** click *Start*, then download the results as **Excel, CSV or JSON**, or send them to Google Sheets, Make, Zapier or n8n. Developers can call it as an **API** or schedule it daily.

### Sample output

```json
{
  "inspectionDate": "2026-10-08",
  "rating": "good",
  "ratingLabel": "Satisfaisant",
  "inspectionContext": "Re-contrôle",
  "name": "INTER PIZZA",
  "siret": "53293848700024",
  "activity": "Restaurants",
  "destination": "Restauration rapide",
  "address": {
    "street": "RUE BERTIN LALANDE",
    "postalCode": "33510",
    "city": "Andernos-les-Bains",
    "department": "33"
  },
  "geo": {
    "lat": 44.744672,
    "lon": -1.092849
  }
}
```

*Real result from 8 October 2026 (abridged).*

### Details

Get the **official hygiene inspection results of French restaurants, bakeries, butchers, caterers, canteens, supermarket counters and food plants** — the data behind the Alim'confiance smiley ratings — as clean JSON: rating, inspection date, establishment name, SIRET, activity, address and GPS.

### Who uses it

- **Hygiene consultants and HACCP trainers**: find establishments rated "A améliorer" or "A corriger de manière urgente" in your area, the day the result is published.
- **Food suppliers, equipment and cleaning companies**: build lists of active food businesses by activity and area.
- **Delivery platforms, review sites and insurers**: enrich restaurant listings or risk scores with the official rating.
- **Journalists and local media**: map inspection results by city.

### What you get

| Field | Description |
|---|---|
| `inspectionDate`, `inspectionId` | Date and official inspection number |
| `rating`, `ratingCode`, `ratingLabel` | `very-good` (1), `good` (2), `to-improve` (3), `urgent` (4), with the official French label |
| `overallAssessment`, `followUp`, `inspectionContext` | Assessment, follow-up action, planned inspection or re-check |
| `name`, `legalName`, `brand`, `siret`, `siren` | Establishment identity |
| `activity`, `activityType`, `destination`, `sector` | What the establishment does |
| `address`, `geo` | Street, postal code, city, INSEE code, département, region, latitude/longitude |
| `approvalNumber` | Sanitary approval number of food plants, when relevant |

### Examples

**Establishments to be corrected urgently in Gironde in the last 90 days**

```json
{ "ratings": ["urgent", "to-improve"], "departments": ["33"], "lastNDays": 90 }
```

**All inspected bakeries in Paris**

```json
{ "activities": ["boulangerie"], "postalCodes": ["750"], "lastNDays": 365 }
```

**Weekly alert on poor results for a hygiene consultant**

```json
{ "ratings": ["to-improve", "urgent"], "departments": ["33", "24", "47"], "monitorNewInspections": true, "monitorKey": "sud-ouest", "lastNDays": 30 }
```

### Pricing

Pay per result: you pay for each inspection returned, nothing for those filtered out. In monitor mode you only pay for new inspections. Set a maximum cost per run to cap spending.

### Good to know

- The official dataset covers about the last 12 months of inspections and is refreshed weekly.
- By default only the latest inspection of each establishment is returned (`latestPerEstablishment`).
- A rating reflects the situation on the inspection day.

### Source and licence

Résultats des contrôles officiels sanitaires — dispositif Alim'confiance, Ministère de l'Agriculture (DGAL), published on data.gouv.fr under Licence Ouverte. This Actor is independent and not affiliated with the French administration.

# Actor input Schema

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

Time window. Ignored if 'Inspected since' is set. The official dataset covers roughly the last 12 months.

## `inspectedSince` (type: `string`):

Only inspections on or after this date (YYYY-MM-DD).

## `ratings` (type: `array`):

Keep only these hygiene levels. Empty = all.

## `activities` (type: `array`):

Partial match, in French: 'restaurant', 'boulangerie', 'boucherie', 'restauration collective', 'traiteur', 'rayon'…

## `departments` (type: `array`):

Codes such as '33', '75', '2A', '974'.

## `postalCodes` (type: `array`):

Full postal codes or prefixes ('750' for Paris).

## `cities` (type: `array`):

Exact city names (case- and accent-insensitive).

## `nameKeywords` (type: `array`):

Matches the establishment name, legal name or brand.

## `sirets` (type: `array`):

Check specific companies (14-digit SIRET or 9-digit SIREN).

## `latestPerEstablishment` (type: `boolean`):

Off = every inspection, including older ones of the same place.

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

Upper limit of inspections output (and charged) per run.

## `monitorNewInspections` (type: `boolean`):

Remembers the inspections already output and returns only new ones next time. Schedule it daily or weekly.

## `monitorKey` (type: `string`):

Use one name per saved search you monitor.

## `monitorFirstRun` (type: `string`):

What to do the first time a monitor runs.

## Actor input object example

```json
{
  "lastNDays": 90,
  "departments": [
    "33"
  ],
  "latestPerEstablishment": true,
  "maxResults": 1000,
  "monitorNewInspections": false,
  "monitorKey": "default",
  "monitorFirstRun": "outputAll"
}
```

# Actor output Schema

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

No description

## `summary` (type: `string`):

No description

# 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 = {
    "departments": [
        "33"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("jet_mythology/france-food-hygiene-inspections").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 = { "departments": ["33"] }

# Run the Actor and wait for it to finish
run = client.actor("jet_mythology/france-food-hygiene-inspections").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 '{
  "departments": [
    "33"
  ]
}' |
apify call jet_mythology/france-food-hygiene-inspections --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jet_mythology/france-food-hygiene-inspections"
        }
    }
}
```

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/Vady2O7HBTYNwDjfj/builds/XQQ9mykNo7FgJsuLq/openapi.json