# French Company Data Enricher (SIREN, Dirigeants, Sirene) (`fit_melon/french-company-data-enricher-siren-dirigeants-sirene`) Actor
Turn SIREN, SIRET or company names into full official French company profiles: directors' names & roles, address, NAF, headcount, VAT, financials. Government open data — 100% reliable, no scraping.
- **URL**: https://apify.com/fit\_melon/french-company-data-enricher-siren-dirigeants-sirene.md
- **Developed by:** [D N](https://apify.com/fit_melon) (community)
- **Categories:** Automation, E-commerce, SEO 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 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
## French Company Data Enricher 🇫🇷 (SIREN · SIRET · Dirigeants)
Turn a list of **SIREN, SIRET numbers or company names** into complete, official French company profiles — **directors' names, registered address, NAF code, headcount, VAT number, creation date, latest financials** — in seconds.
Powered by **official French government open data** (DINUM — Annuaire des Entreprises, INSEE Sirene, RNE). No scraping, no proxies, no blocking: this Actor is as reliable as the French administration's own database, updated daily.
### 💡 What can you do with it?
- **Enrich your CRM** — paste your SIREN/SIRET column, get back director names, activity codes and headcounts ready to import.
- **Find the decision-maker** — every record includes the *dirigeants* (president, gérant, DG) with names and roles: the gold of B2B prospecting.
- **KYB & compliance** — verify a company is active (état administratif), check its legal form, VAT number and registration data.
- **Qualify leads by size** — filter on employee brackets (INSEE tranches) and company category (PME / ETI / GE).
- **Complete your scraping pipelines** — pairs perfectly with the [French Legal Notices Scraper](https://apify.com/fit_melon/french-legal-notices-scraper-mentions-legales): extract SIRETs from websites, then enrich them here.
### ⚙️ How it works
1. Feed it a list of queries — **SIREN** (9 digits), **SIRET** (14 digits) or **free-text company names** (add a city for sharper matching). Formats with spaces or dots are handled.
2. The Actor queries the official government search API with polite rate-limiting and automatic retries.
3. Each query returns one flat, CRM-ready record. When you query a specific SIRET, the record describes **that establishment's address**, not just the HQ.
#### Data you get per company
| Field | Example |
|---|---|
| companyName, sigle | BOULANGERIES PAUL |
| siren / siretSiege / tvaIntra | 403052111 / 40305211102616 / FR32403052111 |
| legalFormLabel | SAS, SARL, EURL, SASU, SCI… |
| mainDirector + role | FRANCIS HOLDER — Président de SAS |
| dirigeants (full list) | individuals & legal entities, with roles |
| naf + section | 10.71A |
| employeesLabel | 500 à 999 salariés (INSEE brackets) |
| address, postalCode, city, lat/lng | geocoded HQ or matched establishment |
| isActive / etatAdministratif | administrative status |
| categorieEntreprise | PME / ETI / GE |
| dateCreation, nbEstablishments | 1995-12-07, 315 |
| lastFinancials | { year: 2023, revenue: 75 869 141, netIncome: … } |
| labels | RGE, Qualiopi, Bio, ESS, association |
Statuses are explicit: `found`, `not_found`, or `error` — one record per query, always.
### 📥 Input example
```json
{
"queries": [
"403052111",
"510 909 807 00032",
"Boulangerie Martin Lille"
],
"maxResultsPerQuery": 1,
"includeClosedCompanies": false
}
````
### ❓ FAQ
**Is this legal?**
Yes — the data comes from the French government's open-data API (Licence Ouverte 2.0). Non-diffusible companies are excluded at the source by the administration itself.
**How fresh is the data?**
The government index is updated daily from INSEE Sirene and the RNE registry.
**How is this different from Pappers or societe.com?**
Same public sources, but self-service and bulk-oriented: paste 10,000 identifiers, export a CSV. No subscription, no API keys — pay only per record returned.
**Rate limits?**
The Actor automatically respects the API's limits (max 7 requests/second) with backoff and retries. For very large lists, it simply takes a bit longer — reliably.
***
*Data source: République Française — DINUM / Annuaire des Entreprises (INSEE Sirene, RNE), Licence Ouverte 2.0.*
*Keywords: SIREN API, SIRET lookup, dirigeants entreprise, enrichissement SIREN, Pappers alternative, societe.com data, INSEE Sirene, KBIS data, French company enrichment, B2B leads France, TVA intracommunautaire, effectifs entreprise.*
# Actor input Schema
## `queries` (type: `array`):
One query per line. Accepts SIREN (9 digits), SIRET (14 digits) or a company name (add a city for better matching, e.g. "Boulangerie Martin Lille"). Spaces and dots in identifiers are OK.
## `maxResultsPerQuery` (type: `integer`):
For company-name searches only: how many best matches to return per query (identifier lookups always return exactly one). Each returned record is billed as one result.
## `includeClosedCompanies` (type: `boolean`):
By default, name searches only return administratively active companies. SIREN/SIRET lookups always return the company with its status flag.
## `requestsPerSecond` (type: `integer`):
Rate limit towards the government API (hard limit: 7/s). Lower it if you see 429 errors.
## `includeRawData` (type: `boolean`):
Attach the full raw API response to each record (advanced users).
## Actor input object example
```json
{
"queries": [
"510909807",
"403052111",
"Airbus"
],
"maxResultsPerQuery": 1,
"includeClosedCompanies": false,
"requestsPerSecond": 4,
"includeRawData": false
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"queries": [
"510909807",
"403052111",
"Airbus"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("fit_melon/french-company-data-enricher-siren-dirigeants-sirene").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "queries": [
"510909807",
"403052111",
"Airbus",
] }
# Run the Actor and wait for it to finish
run = client.actor("fit_melon/french-company-data-enricher-siren-dirigeants-sirene").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 '{
"queries": [
"510909807",
"403052111",
"Airbus"
]
}' |
apify call fit_melon/french-company-data-enricher-siren-dirigeants-sirene --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=fit_melon/french-company-data-enricher-siren-dirigeants-sirene",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "French Company Data Enricher (SIREN, Dirigeants, Sirene)",
"description": "Turn SIREN, SIRET or company names into full official French company profiles: directors' names & roles, address, NAF, headcount, VAT, financials. Government open data — 100% reliable, no scraping.",
"version": "0.0",
"x-build-id": "dVihfISyMWZVe077x"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/fit_melon~french-company-data-enricher-siren-dirigeants-sirene/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-fit_melon-french-company-data-enricher-siren-dirigeants-sirene",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/fit_melon~french-company-data-enricher-siren-dirigeants-sirene/runs": {
"post": {
"operationId": "runs-sync-fit_melon-french-company-data-enricher-siren-dirigeants-sirene",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/fit_melon~french-company-data-enricher-siren-dirigeants-sirene/run-sync": {
"post": {
"operationId": "run-sync-fit_melon-french-company-data-enricher-siren-dirigeants-sirene",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"queries"
],
"properties": {
"queries": {
"title": "SIREN, SIRET or company names",
"type": "array",
"description": "One query per line. Accepts SIREN (9 digits), SIRET (14 digits) or a company name (add a city for better matching, e.g. \"Boulangerie Martin Lille\"). Spaces and dots in identifiers are OK.",
"items": {
"type": "string"
}
},
"maxResultsPerQuery": {
"title": "Max results per name search",
"minimum": 1,
"maximum": 10,
"type": "integer",
"description": "For company-name searches only: how many best matches to return per query (identifier lookups always return exactly one). Each returned record is billed as one result.",
"default": 1
},
"includeClosedCompanies": {
"title": "Include closed companies in name searches",
"type": "boolean",
"description": "By default, name searches only return administratively active companies. SIREN/SIRET lookups always return the company with its status flag.",
"default": false
},
"requestsPerSecond": {
"title": "Requests per second",
"minimum": 1,
"maximum": 6,
"type": "integer",
"description": "Rate limit towards the government API (hard limit: 7/s). Lower it if you see 429 errors.",
"default": 4
},
"includeRawData": {
"title": "Include raw API data",
"type": "boolean",
"description": "Attach the full raw API response to each record (advanced users).",
"default": false
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```