datagrit › Company data › French Company Finder - Sirene Financials

French Company Finder - Sirene Financials

French company lead lists from Sirene screened by net result and revenue, with net margin, size, matching establishment and optional directors.

French Company Finder searches the official Sirene register of French companies and returns each company as a clean record: identity, legal form, activity code, size, employer flag, head office address with coordinates, and the latest published financials. Beyond a plain lookup you can screen companies by profitability: filter on net result (profitable or loss-making) as well as revenue, and every record comes with the net margin already calculated. Location filters are checked on every record, so a company is returned only when it has an open establishment in the place you asked for. Export the data as JSON, CSV or Excel, call it through the Apify API, or plug it into n8n, Make and AI agents through MCP.

Who is it for?

• Sales and business development teams building lists of French prospects by activity, region, size and financial strength.
• Compliance, KYB and procurement teams verifying a counterparty by SIREN or SIRET, including companies that have ceased activity.
• Investors and analysts screening for profitable or loss-making companies in a sector.
• Data teams enriching customer or supplier lists with size, activity and address data.

How to use it

1. Add search terms such as an activity or a name, paste SIREN or SIRET numbers, or use filters alone (for example a department and a size category, with no search term).
2. Narrow the search with filters: department, region, postal code, NAF activity code, size category, employee band, legal form, revenue and net result ranges, employers only, social and solidarity economy only.
3. Choose whether to include the directors listed in the register. This is off by default because it contains personal data.
4. Set the maximum number of results and run the Actor.

Fields you leave out stay neutral: a SIREN lookup called through the API returns only that company, and a filter-only call searches with the filters alone. Only an input with no search term, no number and no filter at all runs a small example search (boulangerie in department 75, not charged per result), and the status message says so.

What data do you get?

Each record contains the SIREN, names and acronym, active or closed status with creation and closure dates, legal form with a label for the common codes, NAF activity code and section, size category, employee band with its label, the number of establishments (total and open), the head office SIRET, address, postal code, city, department, region and coordinates, the VAT number, and the latest published financials: revenue, its year, net result and net margin. Flags show social economy, organic, employer and association status. The employer flag is true when the head office is registered as an employer or the company employee band shows at least one employee. Directors, with their roles, are available on request.

Revenue and net result exist only for companies that publish their accounts, and the register exposes the latest published year only.

How do location filters work?

The Sirene register matches a location against every establishment of a company, including establishments closed decades ago. In a sample of 450 companies returned by the register for eight departments on 2026-09-30, 128 had only closed establishments in the requested department. The Actor therefore checks every record itself: with Only active companies on (the default), a company is returned only when it has an open establishment in the location, and the status message counts the companies it skipped. The head office is checked first, because the register does not always list it among the matching establishments.

Each record carries the establishment that matched (SIRET, address, postal code, city, department, region, open or closed, closure date) next to the head office address, and the number of establishments of the company in the location. The Actor asks the register for up to 100 matching establishments per company, so a count of 100 means 100 or more. Switch off Only active companies to also get closed companies and companies whose only establishment in the location is closed. Switch on Head office only when you want companies whose head office itself is in the location. Without a location filter the matched establishment fields stay empty.

Is it legal to scrape this data?

The Actor reads only open data that the French state publishes through its public company search API. It does not log in or bypass any access control. Company data is open data; directors' names are personal data, so they are off by default and you are responsible for using them in line with data protection law. This description is not legal advice.

Output fields

Every result is one flat record, so it drops straight into a spreadsheet, a database or a CRM.

Sample record

{
  "query": "boulangerie",
  "siren": "403052111",
  "name": "BOULANGERIES PAUL",
  "legalName": "BOULANGERIES PAUL",
  "acronym": null,
  "isActive": true,
  "creationDate": "1995-12-07",
  "closureDate": null,
  "legalFormCode": "5710",
  "legalForm": "Simplified joint-stock company (SAS)",
  "activityCode": "10.71A",
  "sectionCode": "C",
  "companySize": "ETI",
  "employeeBandCode": "41",
  "employeeBand": "500-999 employees",
  "employeeBandYear": 2023,
  "establishments": 315,
  "establishmentsOpen": 125,
  "headOfficeSiret": "40305211102616",
  "address": "344 AVENUE DE LA MARNE 59700 MARCQ-EN-BARŒUL",
  "postalCode": "59700",
  "city": "MARCQ-EN-BARŒUL",
  "departmentCode": "59",
  "regionCode": "32",
  "latitude": 50.678029398,
  "longitude": 3.1169136021,
  "vatNumber": "FR32403052111",
  "revenue": 73611839,
  "revenueYear": 2024,
  "netResult": -2197350,
  "netMarginPct": -3,
  "isSocialEconomy": false,
  "isOrganic": false,
  "isEmployer": true,
  "isAssociation": false,
  "matchedEstablishmentSiret": "32868651400105",
  "matchedEstablishmentAddress": "17 AV CHARLES DE GAULLE 69370 SAINT-DIDIER-AU-MONT-D OR",
  "matchedEstablishmentPostalCode": "69370",
  "matchedEstablishmentCity": "SAINT-DIDIER-AU-MONT-D OR",
  "matchedEstablishmentDepartment": "69",
  "matchedEstablishmentRegion": "84",
  "matchedEstablishmentIsHeadOffice": false,
  "matchedEstablishmentIsActive": true,
  "matchedEstablishmentClosureDate": null,
  "matchedEstablishmentsListed": 1,
  "directorCount": 4,
  "directors": null,
  "sourceUrl": "https://annuaire-entreprises.data.gouv.fr/entreprise/403052111",
  "updatedAt": "2026-09-17T04:38:04",
  "found": true,
  "scrapedAt": "2026-09-30T08:00:00.000Z"
}

Input

Call it from your code

Run the Actor and get the results in one request. Replace YOUR_APIFY_TOKEN with the token from your Apify account settings.

curl -X POST "https://api.apify.com/v2/acts/datagrit~french-company-finder/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["logiciel"],"departments":["69"],"minRevenue":1000000,"maxItems":25}'

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('datagrit/french-company-finder').call({
  "queries": [
    "logiciel"
  ],
  "departments": [
    "69"
  ],
  "minRevenue": 1000000,
  "maxItems": 25
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, items[0]);

from apify_client import ApifyClient
import os

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("datagrit/french-company-finder").call(run_input={
  "queries": [
    "logiciel"
  ],
  "departments": [
    "69"
  ],
  "minRevenue": 1000000,
  "maxItems": 25
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(len(items), items[0] if items else None)

Frequently asked questions

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