# SIRENE Company Enricher France (`apikiy/sirene-company-enricher`) Actor

Enrich French companies with official SIRENE/open enterprise data. Search by name, SIREN, SIRET, postal code, department or NAF code.

- **URL**: https://apify.com/apikiy/sirene-company-enricher.md
- **Developed by:** [Julien ApiKiy](https://apify.com/apikiy) (community)
- **Categories:** Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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

## SIRENE Company Enricher France

Enrich French companies and establishments using official open data from recherche-entreprises.api.gouv.fr / SIRENE.

### Features

- Search by company name, SIREN, SIRET, postal code, department, or NAF code
- Returns company identity, address, activity, active status and public source link
- Stable open-data source, no fragile browser scraping or anti-bot dependency

### Pricing

Pay-per-use, no monthly fee: recommended $0.01 per start + $0.01 per dataset item.

### Data source

Official French open data. Attribution: recherche-entreprises.api.gouv.fr / SIRENE — Licence Ouverte v2.0.

# Actor input Schema

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

Company names or keywords to search, e.g. boulangerie Nancy, plomberie Paris.

## `sirens` (type: `array`):

Optional list of 9-digit SIREN numbers to enrich directly.

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

Optional list of 14-digit SIRET numbers to enrich directly.

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

Optional French postal codes to search.

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

Optional French department codes, e.g. 54, 75, 13.

## `nafCodes` (type: `array`):

Optional activity codes, e.g. 6201Z for software publishing.

## `includeInactive` (type: `boolean`):

When disabled, only active legal units are returned.

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

Maximum enriched companies to return.

## `perPage` (type: `integer`):

Page size for the official API. Keep 25 for best reliability.

## Actor input object example

```json
{
  "queries": [
    "boulangerie Nancy"
  ],
  "sirens": [],
  "sirets": [],
  "postalCodes": [],
  "departments": [],
  "nafCodes": [],
  "includeInactive": false,
  "maxResults": 50,
  "perPage": 25
}
```

# Actor output Schema

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

Enriched companies dataset

# 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("apikiy/sirene-company-enricher").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("apikiy/sirene-company-enricher").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 '{}' |
apify call apikiy/sirene-company-enricher --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=apikiy/sirene-company-enricher",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/2anFMO1QWanvf3Rmr/builds/DNP260klSv6tfgOX8/openapi.json