# SIRENE Scraper: French Company Leads (`polunga/sirene-scraper`) Actor

Build lists of French companies from the official SIRENE register: filter by NAF code, département, headcount, revenue and creation date. Optionally find each company's website, emails and phones. No account needed.

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

## Pricing

Pay per event

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

## SIRENE Scraper: French Company Leads with Website, Emails & Phones

**SIRENE Scraper** builds **targeted lists of French companies** straight from the **official SIRENE register** (26M+ companies) and, optionally, **finds their website, generic emails, phone numbers and social profiles**.

- ✅ **Official, legal source**: INSEE SIRENE + national company register (RNE) open data. No Pappers or Societe.com scraping, no account, no ban.
- 🎯 **Precise targeting**: NAF/APE code, département, postal code, region, headcount, company category, legal form, revenue, creation date, labels (RGE, Bio, Qualiopi, ESS…).
- 🆕 **New business prospecting**: filter on *Created after* to get the companies registered last month.
- 🌐 **Website + contacts**: domain discovery verified against the SIREN, name and address, then email, phone and social extraction.

### Who is it for?

- **B2B sales teams and SDRs**: build prospect lists by sector and area, e.g. every web agency in Lyon.
- **Agencies and freelancers**: find newly created companies that need a website, an accountant or insurance.
- **Lead-generation and data providers**: enrich CRM records with SIREN, SIRET, VAT number and NAF code.
- **Market researchers**: count and map companies by sector, size and region.

### How much does it cost?

You pay **per company returned**, plus a small extra event **only when a website is found and enriched** (see the *Pricing* tab for the exact prices).

| Use case | Companies | Websites found | Cost |
|---|---|---|---|
| 100 companies, register data only | 100 | — | $0.20 |
| 1,000 companies, register data only | 1,000 | — | $2 |
| 1,000 SMEs with *Find website* on (about 2 in 3 have a website) | 1,000 | ~650 | ~$5.90 |

Apify's free plan includes monthly credits, which are enough for a first test of a few hundred companies.

### How to get a list of French companies

1. Choose your filters: NAF codes, départements or region, headcount, creation date.
2. Optionally add a keyword (company name or activity).
3. Turn on **Find website and contacts** if you need emails and phone numbers.
4. Click **Start**, then download the list as Excel, CSV or JSON.
5. To get new companies every month, [schedule](https://docs.apify.com/platform/schedules) the run with *Created after* set to last month.

#### Examples

**Web agencies in Lyon created since 2024:**

```json
{ "nafCodes": ["73.11Z", "62.01Z"], "departements": ["69"], "createdAfter": "2024-01-01", "maxResults": 500, "findWebsite": true }
```

**RGE-certified heating installers in Brittany with 10+ employees:**

```json
{ "nafCodes": ["43.22B"], "regions": ["53"], "employeeRanges": ["11", "12", "21"], "flags": ["est_rge"] }
```

### Output

| Field | Example |
|---|---|
| `name`, `legalName`, `tradeNames` | ACME, LES ATELIERS ACME, Acme Studio |
| `siren`, `siret`, `vatNumber` | 732829320, 73282932000074, FR44732829320 |
| `nafCode`, `nafCode2025`, `legalForm`, `category` | 62.01Z, 62.10Y (new NAF 2025 code), 5710 (SAS), PME |
| `employees`, `isEmployer` | 20-49, true |
| `creationDate`, `active` | 2015-03-01, true |
| `address`, `postalCode`, `city`, `latitude`, `longitude` | 1 rue X 75001 Paris (head office) |
| `matchedEstablishment` | the local branch that matched your geographic filter when the head office is elsewhere, otherwise null |
| `revenue`, `netIncome`, `financialYear` | when accounts are published |
| `labels` | rge, bio, qualiopi… |
| `executives` | role, name, birth year (public register data) |
| `website`, `websiteConfidence` | https://acme.fr, `high` (SIREN found on site), `medium` (name + address found) or `low` (company name is the site title, check it) |
| `primaryEmail`, `emails`, `phones`, `socials` | contact@acme.fr, +33123456789, LinkedIn page… |

In our tests, a website was found for about **13 in 20 SMEs** with 10 to 49 employees. Very young companies (micro-entrepreneurs) often have no website at all.

### Integrations and API

- Run it from your code with the [Apify API](https://docs.apify.com/api/v2) or the JavaScript and Python clients.
- Send new companies to **Google Sheets, HubSpot, Pipedrive, Make, Zapier or n8n** with [integrations](https://docs.apify.com/platform/integrations).
- AI agents can find and run it through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp).

### FAQ

**Is it legal?** SIRENE and RNE are official open data published by the French State. **GDPR**: executives' names come from the public register. Generic business contacts (contact@, switchboard) can generally be used for B2B prospecting under legitimate interest, with an opt-out in every message. You remain responsible for how you use the data.

**How many companies can I get?** The register API returns at most 10,000 companies per search. For bigger extractions, split by département or NAF code.

**How is the website found?** The Actor guesses likely domains (`name.fr`, `name.com`…) and keeps a site only if it mentions the SIREN, or the company name with its postal code or city. Companies with generic names or without a website will often have none.

**Why is the address in another département?** The address is the head office. When a branch matches your filter, it is in `matchedEstablishment`.

### En français

**Extraire des entreprises de la base SIRENE** par code NAF (APE), département, région, effectif, chiffre d'affaires ou date de création, avec SIREN, SIRET, numéro de TVA, dirigeants et, en option, **site web, email et téléphone**. Idéal pour la prospection B2B, trouver les entreprises nouvellement créées ou enrichir un fichier clients. Export Excel ou CSV. Source officielle (INSEE, RNE), sans compte.

### Support

Questions or a missing filter? Open an issue in the **Issues** tab, I usually reply within 24 h.

# Actor input Schema

## `query` (type: `string`):

Optional free text: activity, company name, city... e.g. "plombier", "agence web".

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

Activity codes, e.g. 62.01Z (software), 43.22A (plumbing), 56.10A (restaurants), 68.31Z (real estate agencies).

## `nafSections` (type: `array`):

Broad sectors, letters A to U (e.g. F = construction, J = information & communication).

## `departements` (type: `array`):

Département codes, e.g. 75, 69, 13, 2A.

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

5-digit postal codes.

## `regions` (type: `array`):

INSEE region codes, e.g. 84 (Auvergne-Rhône-Alpes), 11 (Île-de-France).

## `employeeRanges` (type: `array`):

00 = 0, 01 = 1-2, 02 = 3-5, 03 = 6-9, 11 = 10-19, 12 = 20-49, 21 = 50-99, 22 = 100-199, 31 = 200-249, 32 = 250-499, 41 = 500-999, 42 = 1000-1999, 51+ = 2000+.

## `companyCategory` (type: `string`):

PME (SMB), ETI (mid-size), GE (large).

## `legalForms` (type: `array`):

INSEE legal category codes, e.g. 5710 (SAS), 5499 (SARL), 1000 (sole trader).

## `flags` (type: `array`):

Only companies with these labels.

## `minRevenue` (type: `integer`):

Only companies that published accounts.

## `maxRevenue` (type: `integer`):

Only companies that published accounts.

## `createdAfter` (type: `string`):

YYYY-MM-DD. Great for new-business prospecting.

## `createdBefore` (type: `string`):

YYYY-MM-DD.

## `onlyActive` (type: `boolean`):

Skip closed companies.

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

Maximum companies to return (the register allows up to 10,000 per search).

## `includeExecutives` (type: `boolean`):

Names and roles of legal representatives as published in the public register.

## `findWebsite` (type: `boolean`):

Look for each company's website (verified against SIREN, name and address) and extract generic emails, phones and social profiles. Slower, charged as an extra event when a website is found.

## `extractContacts` (type: `boolean`):

Only used when Find website is on.

## `onlyWithContacts` (type: `boolean`):

Drop companies without any contact found.

## Actor input object example

```json
{
  "nafCodes": [
    "73.11Z"
  ],
  "departements": [
    "69"
  ],
  "onlyActive": true,
  "maxResults": 50,
  "includeExecutives": true,
  "findWebsite": false,
  "extractContacts": true,
  "onlyWithContacts": false
}
```

# Actor output Schema

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

French companies from the SIRENE register with legal data, executives and, when found, website, emails and phones, shown in the overview table.

# 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 = {
    "nafCodes": [
        "73.11Z"
    ],
    "departements": [
        "69"
    ],
    "maxResults": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("polunga/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 = {
    "nafCodes": ["73.11Z"],
    "departements": ["69"],
    "maxResults": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("polunga/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 '{
  "nafCodes": [
    "73.11Z"
  ],
  "departements": [
    "69"
  ],
  "maxResults": 50
}' |
apify call polunga/sirene-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,polunga/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/6JzqbseHlZXuame9I/builds/rcb8s9lZc8pJ9ReJz/openapi.json