# France SIRENE Company Scraper (`ivosandoval/france-sirene-scraper`) Actor

Scrape French company data from the INSEE SIRENE register. Get establishment details, legal units, and business activity codes.

- **URL**: https://apify.com/ivosandoval/france-sirene-scraper.md
- **Developed by:** [Ivo Sandoval](https://apify.com/ivosandoval) (community)
- **Categories:** Automation, Lead generation, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 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/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

## France SIRENE Company Scraper

> Scrape French company and establishment data from the SIRENE register via the open data API.
> Search by company name, SIREN, SIRET, activity code, or department. Optional Pappers.fr enrichment.

### Data Source

- **API**: `https://recherche-entreprises.api.gouv.fr/search`
- **Origin**: INSEE SIRENE register (updated daily by data.gouv.fr)
- **Auth required**: No (open data API, no credentials needed)
- **Rate limits**: Reasonable use (no hard documented limit)

### Enrichment (optional)

- **Pappers.fr**: https://www.pappers.fr/api/documentation
- **Data**: Financial statements (revenue, capital), headcount, principal officer
- **Auth**: Freemium API key

### Output Example

```json
{
    "siren": "443061841",
    "siret": "44306184100015",
    "denomination": "GOOGLE FRANCE",
    "categorie_juridique": "5710",
    "activite_principale": "62.01Z",
    "tranche_effectifs": "51",
    "date_creation": "2002-03-21",
    "etat_administratif": "A",
    "adresse": "8 RUE DE LONDRES 75009 PARIS 9",
    "code_postal": "75009",
    "commune": "PARIS 9",
    "departement": "75",
    "etablissement_siege": true,
    "categorie_entreprise": "GE",
    "dirigeant_principal": "SEBASTIEN MISSOFFE",
    "nombre_etablissements": 4,
    "tva_intracommunautaire": "FR27443061841"
}
```

### Output Schema

| Field | Type | Description |
|-------|------|-------------|
| siren | string | SIREN number (9 digits, legal unit) |
| siret | string | SIRET number (14 digits, establishment) |
| denomination | string | Company name |
| categorie\_juridique | string | Legal category code |
| activite\_principale | string | NAF/APE activity code |
| tranche\_effectifs | string | Employee count bracket |
| date\_creation | string | Creation date |
| etat\_administratif | string | Administrative status (A=active, C=closed) |
| adresse | string | Full address |
| code\_postal | string | Postal code |
| commune | string | City |
| departement | string | Department code |
| etablissement\_siege | boolean | Whether this is the headquarters |
| categorie\_entreprise | string | Company category (PME, ETI, GE) |
| dirigeant\_principal | string | Principal officer name |
| nombre\_etablissements | integer | Number of open establishments |
| tva\_intracommunautaire | string | EU VAT number |

With Pappers enrichment enabled:

| Field | Type | Description |
|-------|------|-------------|
| chiffre\_affaires | number | Revenue (EUR) |
| effectif | integer | Headcount |
| capital | number | Capital (EUR) |

### Input Parameters

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| search\_query | string | No | Company name, SIREN, or SIRET to search |
| siren\_numbers | array | No | Specific SIREN numbers to fetch |
| siret\_numbers | array | No | Specific SIRET numbers to fetch |
| activite\_principale | string | No | Filter by NAF/APE code (e.g. `62.01Z`) |
| departement | string | No | Filter by department code (e.g. `75` for Paris) |
| enrich\_with\_pappers | boolean | No | Enable Pappers enrichment (default: false) |
| pappers\_api\_key | string | No | API key for Pappers.fr enrichment |
| max\_results | integer | No | Max results (default: 100, max: 10000) |
| database\_url | string | No | PostgreSQL URL for persistence |
| proxy\_configuration | object | No | Apify proxy config |

### Database

- **Database name**: `datamon_france_sirene`
- **Tables**: `unites_legales`, `etablissements`
- **Upsert**: by `siren` (legal units) and `siret` (establishments)

### Running

#### Via Apify CLI

```bash
cd actors/france-sirene
python3.12 -m venv .venv && .venv/bin/pip install -r requirements.txt
apify run --purge
```

#### Local runner (no Apify dependency)

```bash
cd actors/france-sirene

## Print to stdout (no DB)
.venv/bin/python runner.py --search-query "Total" --max-results 10 --no-db

## Search by SIREN numbers
.venv/bin/python runner.py --siren-numbers 443061841,356000000 --no-db

## Filter by department (Paris)
.venv/bin/python runner.py --departement 75 --max-results 20 --no-db

## Persist to PostgreSQL
DATABASE_URL="postgresql+asyncpg://user:pass@host:5432/datamon_france_sirene" \
    .venv/bin/python runner.py --search-query "Renault" --max-results 50
```

#### Cron (daily at 07:00)

```cron
0 7 * * * cd /opt/datamon/actors/france-sirene && set -a && source .env && set +a && .venv/bin/python runner.py --search-query "*" --max-results 1000 >> /var/log/datamon/sirene.log 2>&1
```

### Pricing (Apify Store)

- **Model**: Pay-per-event (PPE)
- **Price**: $2.00 / 1,000 results

### Status

- \[x] Scraper implementation (recherche-entreprises.api.gouv.fr, search, SIREN/SIRET lookup)
- \[x] Database models + migrations
- \[x] Input/output schemas
- \[x] DB persistence (persist.py with upsert on two tables)
- \[x] Local runner (runner.py - no Apify dependency)
- \[x] Injectable logger (scraper works with Apify or stdlib logging)
- \[x] Optional Pappers.fr enrichment (financial data, officers)
- \[ ] Tests
- \[ ] Apify Store listing

# Actor input Schema

## `search_query` (type: `string`):

Company name, SIREN, or SIRET number to search

## `siren_numbers` (type: `array`):

List of specific SIREN numbers to fetch

## `siret_numbers` (type: `array`):

List of specific SIRET (establishment) numbers to fetch

## `activite_principale` (type: `string`):

Filter by NAF/APE activity code (e.g. 62.01Z for programming)

## `departement` (type: `string`):

Filter by French department code (e.g. 75 for Paris)

## `enrich_with_pappers` (type: `boolean`):

Fetch additional data from Pappers.fr API (requires pappers\_api\_key)

## `pappers_api_key` (type: `string`):

API key for Pappers.fr enrichment (freemium)

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

Maximum number of establishments to return

## `database_url` (type: `string`):

PostgreSQL connection string to persist results. Format: postgresql+asyncpg://user:pass@host:port/dbname

## `proxy_configuration` (type: `object`):

Apify proxy configuration

## Actor input object example

```json
{
  "enrich_with_pappers": false,
  "max_results": 100
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("ivosandoval/france-sirene-scraper").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("ivosandoval/france-sirene-scraper").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 '{}' |
apify call ivosandoval/france-sirene-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ivosandoval/france-sirene-scraper"
        }
    }
}

```

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/HrMOi3keqp43O9pCT/builds/ZsWEhmnPfSDYAaTCK/openapi.json