# France Business Failures by Sector & Region (INSEE) (`france-open-data/france-business-failures`) Actor

Official monthly/quarterly business failures (défaillances d'entreprises) in France by sector, region and department: latest value, 12-month total, year-on-year change. INSEE BDM open data.

- **URL**: https://apify.com/france-open-data/france-business-failures.md
- **Developed by:** [France Open Data](https://apify.com/france-open-data) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 one area × sector time series

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 Business Failures by Sector & Region (INSEE / Banque de France)

### What it does

Returns one row per area × sector series: latest period and value, latest 12-month total, same figure one year earlier, % change, and the full time series. Monthly series are rolling 12-month totals by date of judgement (as published by INSEE).

**Who it's for:** Credit insurers, B2B risk and debt-collection firms, accountants, economic journalists, sector analysts.

All numbers come straight from the official source at run time. Nothing is estimated or modelled; field names are neutral and every item carries `source` and `source_url`.

### Input

Defaults work out of the box. Example:

```json
{"areas": ["FE", "R11"], "sectors": ["ENS", "FZ", "I"], "frequency": "M", "periods": 24}
```

### Free sample output

Real item from a run on 2026-10-24 (series truncated to the last 3 points):

```json
{
 "idbank": "001656098",
 "title": "Business failures by date of judgement - 12-month cumulative raw data - France - Accommodation and food service activities",
 "title_fr": "Nombre de défaillances d'entreprises par date de jugement - Cumul brut glissant sur 12 mois - France - Hébergement et restauration",
 "area_code": "FE",
 "sector_code": "I",
 "sector": "Accommodation and food services",
 "frequency": "M",
 "value_type": "rolling 12-month total",
 "adjustment": "BRUT",
 "latest_period": "2026-07",
 "latest_value": 9721.0,
 "latest_12m_total": 9721.0,
 "same_period_prior_year_12m_total": 9687.0,
 "change_vs_prior_year_pct": 0.4,
 "series": [
  {
   "period": "2026-05",
   "value": 9544.0
  },
  {
   "period": "2026-06",
   "value": 9689.0
  },
  {
   "period": "2026-07",
   "value": 9721.0
  }
 ],
 "last_update": "2026-10-20",
 "source": "INSEE BDM, dataflow DEFAILLANCES-ENTREPRISES (source data: Banque de France / Fiben), Licence Ouverte 2.0",
 "source_url": "https://www.insee.fr/fr/statistiques/serie/001656098"
}
```

Export as JSON, CSV, Excel or via the Apify API. Fields: `idbank, title, title_fr, area_code, sector_code, sector, frequency, value_type, adjustment, latest_period, latest_value, latest_12m_total, same_period_prior_year_12m_total, change_vs_prior_year_pct, series, last_update, source, source_url`.

### Pricing

Pay per event: **$0.005 per result row ($5 per 1,000)**, charged only for successful rows (event `series-row`). Errors are returned with an `error` field and are not charged. Apify free-plan credits cover thousands of rows.

### Data source & licence

INSEE Banque de Données Macro-économiques (BDM), SDMX dataflow DEFAILLANCES-ENTREPRISES (source: Banque de France, Fiben), public endpoint bdm.insee.fr, Licence Ouverte 2.0.

### Limits

Failures = opening of a judicial procedure (redressement or liquidation). Recent months are revised. INSEE publishes with ~2-3 months delay. Official APIs/open data files only, no scraping, no personal data.

# Actor input Schema

## `areas` (type: `array`):

FE = France; regions R11, R24, R27, R28, R32, R44, R52, R53, R75, R76, R84, R93, R94; departments D01..D95; ALL = everything.

## `sectors` (type: `array`):

NAF sector groups.

## `frequency` (type: `string`):

Monthly series published by INSEE are rolling 12-month totals.

## `adjustment` (type: `string`):

Adjusted series only exist for some national series.

## `periods` (type: `integer`):

How many latest observations per series.

## Actor input object example

```json
{
  "areas": [
    "FE",
    "R11",
    "R84"
  ],
  "sectors": [
    "ENS",
    "FZ",
    "I"
  ],
  "frequency": "M",
  "adjustment": "BRUT",
  "periods": 36
}
```

# Actor output Schema

## `results` (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 = {
    "areas": [
        "FE",
        "R11",
        "R84"
    ],
    "sectors": [
        "ENS",
        "FZ",
        "I"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("france-open-data/france-business-failures").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 = {
    "areas": [
        "FE",
        "R11",
        "R84",
    ],
    "sectors": [
        "ENS",
        "FZ",
        "I",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("france-open-data/france-business-failures").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 '{
  "areas": [
    "FE",
    "R11",
    "R84"
  ],
  "sectors": [
    "ENS",
    "FZ",
    "I"
  ]
}' |
apify call france-open-data/france-business-failures --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,france-open-data/france-business-failures"
        }
    }
}
```

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/zL3Bj4SaO2ozT2Py2/builds/RuBO72E1cCNfQgog1/openapi.json