# SIRENE France Company Scraper: SIREN, NAF, Revenue, Status (`rowcraft/france-company-register`) Actor

French companies from the official Recherche d'entreprises API (INSEE SIRENE + INPI): SIREN and SIRET, legal form, NAF activity, head-office address, employee band, revenue and net income, labels, creation date and VAT number. Search by text, activity, area, radius or SIREN list. No personal data.

- **URL**: https://apify.com/rowcraft/france-company-register.md
- **Developed by:** [Rowcraft](https://apify.com/rowcraft) (community)
- **Categories:** Lead generation, Business
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 companies

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 France Company Scraper: SIREN, NAF, Revenue, Status

Export French companies from the **official French government company search API** (data from INSEE's SIRENE register and the INPI national company register, RNE). You get clean, flat JSON, CSV or Excel. The actor calls the public API directly, not a website, so it is fast, stable and does not break when a page changes.

Search by **activity (NAF/APE code)**, **department**, **region**, **postcode**, **employee band**, **legal form**, **revenue**, **net income**, **creation date** and **labels** (RGE, Qualiopi, ESS, organic and more), or around a point on the map. You can also paste SIREN or SIRET numbers and get each company's record.

**Past the 10,000-result cap.** The API returns at most 10,000 results per search. When your search matches more, the actor splits it automatically (by department, activity, employee band, then legal form) and merges the parts without duplicates.

**Companies only.** Sole traders (entrepreneurs individuels) are never delivered, and directors are never read. See the privacy section.

![Input form of SIRENE France Company Scraper: SIREN, NAF, Revenue, Status](https://api.apify.com/v2/key-value-stores/7hbQFQdGq61v2OZ2h/records/france-company-register-input.png)

### What you get

Each company becomes one row with about 60 fields:

- **Identity:** SIREN, SIRET of the head office, name, acronym, trade names and signs, legal form (code and label), status (active or closed), creation and closure dates
- **Activity:** main NAF code and label, the new NAF 2025 code, section (code and English label)
- **Size:** employee band (code and English label) and its year, employer or not, category (PME, ETI, GE), number of establishments and of open establishments
- **Head office:** street, postcode, city, INSEE city code, department and region (code and name), country, one-line address, latitude and longitude
- **Finances:** latest published revenue and net income with the year, plus every published year
- **VAT number**
- **Labels and registers:** ESS, RGE, organic, Qualiopi, training organisation, société à mission, SIAE, association (with RNA number), public administration, local authority, living heritage company (EPV), collective agreements (IDCC), Egapro index filed, greenhouse-gas report filed
- **Link** to the company's page on the official Annuaire des Entreprises, and the date the record was last updated
- Optional: the company's **establishments that match your place filters** (SIRET, address, coordinates, activity, employee band, status)

### Why this actor

- **Official source, no blocking.** The public API of the French State. No browser, no proxies, no API key.
- **All results, not only the first 10,000.** Automatic splitting of large searches, with duplicates removed.
- **Head office in your area.** The API matches a company when *any* of its establishments is in the place you chose. By default the actor keeps only companies whose **head office** is there, so a Paris search does not return companies with just one shop in Paris. Turn it off to get both.
- **Creation-date filter**, which the API itself does not offer.
- **Around a point:** latitude, longitude and a radius up to 50 km, with all the other filters still applied.
- **Labels in English** for sections and employee bands, with the French codes kept.
- **No personal data.** Sole traders are excluded at the source and directors are never requested.
- **You stay in control of cost.** Pay per company. The run stops cleanly when your maximum charge is reached.

### How to use it

1. Open the Actor and fill in **Search text** (the other fields are optional filters).
2. Set **Maximum companies** to a small number for a first try (the default is a safe start).
3. Optional: tick **Count only** and start once. You get the number of matching rows and the estimated cost, for free (only the start event is charged). Untick it to get the data.
4. Click **Start**. The status line shows progress; the run stops cleanly at your limit or at the charge limit you set in the run options.
5. Open the **Dataset** tab and download JSON, CSV, Excel, XML or HTML, or send the rows to Google Sheets, Slack, Make, n8n or Zapier with the Integrations tab.
6. To run it on a schedule, use **Schedules** in Apify Console and turn on **Only new rows since the last run** below: every run then costs only the new rows, and a webhook URL tells you when something new came in.

### Input

| Field | What it does |
|---|---|
| `query` | Name, brand or address words. Optional when you use filters |
| `nafCodes` | NAF codes or prefixes: `62.01Z`, `6201Z`, `62` (whole division), `56.10` |
| `sections` | Broad sectors A to U |
| `departments`, `regions`, `postcodes` | Place filters |
| `headOfficeInArea` | Keep only companies whose head office is in that place (default on) |
| `status` | `active` (default), `closed` or `any` |
| `legalForms` | INSEE legal-form codes, e.g. `5710` SAS, `5499` SARL, `5720` SASU, `6540` SCI, `9220` association |
| `employeeBands`, `companyCategories` | Size filters |
| `labels` | RGE, Qualiopi, ESS, organic, SIAE, société à mission and more; all chosen labels must apply |
| `revenueMin`, `revenueMax`, `netIncomeMin`, `netIncomeMax` | In euros, on the latest published accounts |
| `createdAfter`, `createdBefore` | `YYYY-MM-DD` |
| `sirenList` | Look up these SIREN or SIRET numbers (or links that contain them) instead of searching |
| `latitude`, `longitude`, `radiusKm` | Search around a point instead, up to 50 km |
| `maxItems` | Stop after this many companies. `0` = all matches. Default 500 |
| `includeEstablishments` | Add the matching establishments to each company |
| `countOnly`, `onlyNew`, `stateName`, `notifyUrl`, `notifyWhenEmpty` | Count before you pay, only new rows, notifications: see **Automation** below |

Example: software companies (NAF 62.01Z) with their head office in the Rhône department, 10 to 49 employees.

```json
{
  "nafCodes": ["62.01Z"],
  "departments": ["69"],
  "employeeBands": ["11", "12"],
  "maxItems": 0
}
```

Example: RGE-certified companies in Gironde with at least €1 million in revenue.

```json
{
  "departments": ["33"],
  "labels": ["rge"],
  "revenueMin": 1000000,
  "maxItems": 0
}
```

Example: restaurants within 1 km of a point in Lyon.

```json
{
  "latitude": "45.764",
  "longitude": "4.8357",
  "radiusKm": 1,
  "nafCodes": ["56.10A"]
}
```

### Output

59 fields per row. Empty values are `null`, never missing, so CSV and Excel columns are stable.

| Field | Type | Example |
|---|---|---|
| `siren` | string | 552032534 |
| `siretHeadOffice` | string | 55203253400646 |
| `name` | string | DANONE |
| `acronym` | string | Acronym |
| `tradeNames` | array | Trade names and signs |
| `legalFormCode` | string | 5599 |
| `legalForm` | string | SA à conseil d'administration (s.a.i.) |
| `status` | string | active |
| `creationDate` | string | 1955-01-01 |
| `closureDate` | string | Closed |
| `nafCode` | string | 70.10Z |
| `nafLabel` | string | Main activity label |
| `naf2025Code` | string | Main activity (NAF 2025) |
| `sectionCode` | string | M |
| `section` | string | Section |
| `employeeBandCode` | string | 41 |
| `employeeBand` | string | 500-999 employees |
| `employeeBandYear` | integer | Employee band year |
| `isEmployer` | boolean | Has employees |
| `companyCategory` | string | GE |
| `establishments` | integer | Establishments |
| `openEstablishments` | integer | Open establishments |
| `street` | string | Street |
| `addressComplement` | string | Address complement |
| `postcode` | string | 75009 |
| `city` | string | PARIS |
| `cityCode` | string | City code (INSEE) |
| `departmentCode` | string | 75 |
| `department` | string | Paris |
| `regionCode` | string | 11 |
| `region` | string | Île-de-France |
| `country` | string | Country |
| `address` | string | Full address |
| `addressHidden` | boolean | Address withheld by the owner (partial diffusion) |
| `latitude` | number | Latitude |
| `longitude` | number | Longitude |
| `vatNumber` | string | FR27552032534 |
| `revenue` | number | Revenue (EUR, latest year) |
| `netIncome` | number | Net income (EUR, latest year) |
| `financialYear` | integer | Financial year |
| `finances` | array | Revenue and net income by year |
| `isEss` | boolean | Social and solidarity economy |
| `isRge` | boolean | RGE certified |
| `isBio` | boolean | Organic certified |
| `isQualiopi` | boolean | Qualiopi |
| `isTrainingOrganisation` | boolean | Training organisation |
| `isMissionCompany` | boolean | Société à mission |
| `isSiae` | boolean | SIAE |
| `isAssociation` | boolean | Association |
| `isPublicAdministration` | boolean | Public administration |
| `isLocalAuthority` | boolean | Local authority |
| `isLivingHeritage` | boolean | Living heritage company |
| `collectiveAgreementIds` | array | Collective agreements (IDCC) |
| `associationId` | string | Association ID (RNA) |
| `egaproFiled` | boolean | Egapro index filed |
| `ghgReportFiled` | boolean | GHG report filed |
| `lastUpdated` | string | Last updated in the register |
| `url` | string | Annuaire des Entreprises page |
| `matchingEstablishments` | array | Matching establishments |

#### Example rows

Two real rows from a run (long texts shortened here, complete in the dataset):

```json
[
  {
    "siren": "478455793",
    "siretHeadOffice": "47845579305205",
    "name": "BOULANGERIES BG",
    "acronym": "B B G",
    "tradeNames": [],
    "legalFormCode": "5710",
    "legalForm": "SAS, société par actions simplifiée",
    "status": "active",
    "creationDate": "2004-08-25",
    "closureDate": null,
    "nafCode": "56.10C",
    "nafLabel": "Restauration de type rapide",
    "naf2025Code": "56.11J",
    "sectionCode": "I",
    "section": "Accommodation and food service",
    "employeeBandCode": "52",
    "employeeBand": "5,000-9,999 employees",
    "employeeBandYear": 2024,
    "isEmployer": true,
    "companyCategory": "GE",
    "establishments": 602,
    "openEstablishments": 580,
    "street": "615 AVENUE DE LA CHAFFINE",
    "addressComplement": null,
    "postcode": "13160",
    "city": "CHATEAURENARD",
    "cityCode": "13027",
    "departmentCode": "13",
    "department": "Bouches-du-Rhône",
    "regionCode": "93",
    "region": "Provence-Alpes-Côte d'Azur",
    "country": "FRANCE",
    "addressHidden": false,
    "address": "615 AVENUE DE LA CHAFFINE, 13160 CHATEAURENARD",
    "latitude": 43.8903640316375,
    "longitude": 4.82612901648503,
    "vatNumber": "FR94478455793",
    "revenue": null,
    "netIncome": null,
    "financialYear": null,
    "finances": [],
    "isEss": false,
    "isRge": false,
    "isBio": false,
    "isQualiopi": false,
    "isTrainingOrganisation": false,
    "isMissionCompany": false,
    "isSiae": false,
    "isAssociation": false,
    "isPublicAdministration": false,
    "isLocalAuthority": false,
    "isLivingHeritage": false,
    "collectiveAgreementIds": [
      "3255"
    ],
    "associationId": null,
    "egaproFiled": true,
    "ghgReportFiled": true,
    "lastUpdated": "2026-10-08T09:42:46",
    "url": "https://annuaire-entreprises.data.gouv.fr/entreprise/478455793"
  },
  {
    "siren": "403052111",
    "siretHeadOffice": "40305211102616",
    "name": "BOULANGERIES PAUL",
    "acronym": null,
    "tradeNames": [],
    "legalFormCode": "5710",
    "legalForm": "SAS, société par actions simplifiée",
    "status": "active",
    "creationDate": "1995-12-07",
    "closureDate": null,
    "nafCode": "10.71A",
    "nafLabel": "Fabrication industrielle de pain et de pâtisserie fraîche",
    "naf2025Code": "10.71G",
    "sectionCode": "C",
    "section": "Manufacturing",
    "employeeBandCode": "41",
    "employeeBand": "500-999 employees",
    "employeeBandYear": 2024,
    "isEmployer": true,
    "companyCategory": "ETI",
    "establishments": 315,
    "openEstablishments": 125,
    "street": "344 AVENUE DE LA MARNE",
    "addressComplement": "BATIMENT D.E",
    "postcode": "59700",
    "city": "MARCQ-EN-BARŒUL",
    "cityCode": "59378",
    "departmentCode": "59",
    "department": "Nord",
    "regionCode": "32",
    "region": "Hauts-de-France",
    "country": "FRANCE",
    "addressHidden": false,
    "address": "344 AVENUE DE LA MARNE, 59700 MARCQ-EN-BARŒUL",
    "latitude": 50.678029398,
    "longitude": 3.1169136021,
    "vatNumber": "FR32403052111",
    "revenue": 73611839,
    "netIncome": -2197350,
    "financialYear": 2024,
    "finances": [
      {
        "year": 2024,
        "revenue": 73611839,
        "netIncome": -2197350
      }
    ],
    "isEss": false,
    "isRge": false,
    "isBio": false,
    "isQualiopi": false,
    "isTrainingOrganisation": false,
    "isMissionCompany": false,
    "isSiae": false,
    "isAssociation": false,
    "isPublicAdministration": false,
    "isLocalAuthority": false,
    "isLivingHeritage": false,
    "collectiveAgreementIds": [
      "3255"
    ],
    "associationId": null,
    "egaproFiled": false,
    "ghgReportFiled": true,
    "lastUpdated": "2026-10-08T10:23:09",
    "url": "https://annuaire-entreprises.data.gouv.fr/entreprise/403052111"
  }
]
```

Results can be downloaded as JSON, CSV, Excel, XML or HTML from the Dataset tab, or read through the Apify API.

![Results of SIRENE France Company Scraper: SIREN, NAF, Revenue, Status in the Apify dataset view](https://api.apify.com/v2/key-value-stores/7hbQFQdGq61v2OZ2h/records/france-company-register-results.png)

### Pricing

**Pay per result.** You pay for each company delivered to your dataset, nothing else: no subscription, no minimum, no charge for rows your filters drop or for the requests behind them.

| Your Apify plan | Price per 1,000 rows | Price per row |
|---|---|---|
| Free plan | **$3.00** | $0.003 |
| Starter plan | **$2.67** | $0.00267 |
| Scale plan | **$2.33** | $0.00233 |
| Business plan and above | **$2.00** | $0.002 |

Example: 1,000 companies cost $3.00 on the Free plan and $2.00 on the Business plan. The Apify platform usage of a run (compute, storage) is small for this actor — well under one cent per 1,000 rows — and is billed by Apify separately, as for every Actor.
A start event of $0.00005 is charged once per run (Apify default).
**Cap your spend:** set *Maximum total charge* in the run options. The actor stops cleanly when the cap is reached and you keep everything delivered until then. The run summary (`RUN_SUMMARY` in the key-value store) says why a run stopped.
**Check before you pay:** turn on **Count only** to see how many rows match and what they would cost at your tier. That run delivers nothing and costs only the start event.

### Automation: only new rows, notifications, schedules

**Only new rows since the last run.** Turn on `onlyNew` and the actor remembers every company it delivered to you (in a key-value store named `rowcraft-france-company-register-state` in your Apify account). The next run with the same `stateName` skips what you already have and you pay only for new rows. The first run delivers everything that matches. Use a different `stateName` for each schedule or search so they keep separate memories.

**Notification when the run ends.** Put a webhook address in `notifyUrl` and the actor sends one JSON POST with the number of new rows, links to the dataset (JSON and CSV) and the run. It works out of the box with Slack and Discord incoming webhooks (the message is in `text` and `content`), with Make, n8n and Zapier catch hooks, and with your own endpoint. By default it is sent only when there is at least one new row; `notifyWhenEmpty` sends it every time.

**Schedules.** Create a schedule in Apify Console (hourly, daily, weekly or cron) with `onlyNew` on. A daily schedule gives you a feed of new companies for the price of the new rows only.

**Integrations.** Send the results to Make, n8n, Zapier, Google Sheets, Slack, Google Drive, Airtable or any webhooks from the Integrations tab of the Actor, with no code. Apify also offers native actions for Make, n8n and Zapier.

**API, SDKs and AI agents.** Every run is available through the Apify API and the official JavaScript and Python clients; the Actor can also be called by AI agents through the Apify MCP server. The example input in the API tab is a working call.

**Count only.** `countOnly` returns the number of matching companies and the estimated cost without delivering anything, so you can size a job before paying for it.

### Use cases

- **B2B prospecting lists:** every company of a trade in a department or region, sized by employees and revenue, with a head-office address and coordinates for mapping.
- **Market sizing:** how many companies of which activity, size and legal form exist where.
- **Supplier and partner search:** RGE, Qualiopi, organic, ESS or SIAE companies near a site.
- **Enrichment and checks:** paste SIREN or SIRET numbers to get status, activity, size, VAT number and published finances.
- **New-company watch:** filter by creation date inside a department or activity and schedule the run.

Ready-made examples, each with the input filled in (open one and press Start, or save it as your own task):

- [Find software companies in Paris with 50+ employees](https://apify.com/rowcraft/france-company-register/examples/software-companies-paris-50-employees)
- [Find restaurants in Paris with 10+ employees](https://apify.com/rowcraft/france-company-register/examples/restaurants-paris-10-employees)
- [Find companies in Lyon with revenue over €10 million](https://apify.com/rowcraft/france-company-register/examples/companies-lyon-revenue-over-10m)
- [Find RGE-certified renovation companies in France](https://apify.com/rowcraft/france-company-register/examples/rge-certified-renovation-companies)

### What this actor does not do

- Sole traders (entrepreneurs individuels) and other legal forms made of natural persons: excluded by design.
- Directors and officers: never requested.
- Documents (statuts, published accounts as PDF): not delivered; the published revenue and net income figures are.
- Companies outside France.

### Limits and fair use

- One request per second by default; each request returns up to 25 companies, so up to about 1,500 companies per minute. You can slow it down; you cannot go below 250 ms.
- **The creation-date filter is applied after reading**, because the API cannot filter by date. Over a large search (a whole activity across France) the actor reads many companies to find the recent ones; only matches are charged. Narrow it with a department or activity.
- **Around a point**, the API applies only the activity filters, so the actor applies the others itself after reading.
- If one part of a split search still has 10,000+ results at the finest level, only its first 10,000 are read and the run summary says so.
- Revenue and net income exist only for companies whose accounts are published.
- Some companies asked INSEE not to publish their address. For them street, postcode and coordinates are empty and `addressHidden` is `true`; the city and department stay.

### Data source and licence

Source: the public API Recherche d'entreprises (`recherche-entreprises.api.gouv.fr`), run by the French government's digital agency (DINUM), with data from **INSEE (SIRENE)** and **INPI (RNE)**. The data is published under the **Licence Ouverte / Open Licence 2.0**, which allows commercial reuse provided the source and the date of the last update are mentioned. Each row carries `lastUpdated` and a link to its official page for that purpose. This actor is independent and not affiliated with or endorsed by DINUM, INSEE or INPI.

### Privacy: no personal data

Rowcraft actors are built not to collect personal data. This actor copies only company fields:

- **Sole traders** (entrepreneurs individuels) and legal forms made of natural persons (indivisions, de facto partnerships between people) are excluded. In a SIREN lookup they are reported as excluded, not delivered.
- **Directors, officers and elected officials** are never requested from the API.
- Address complements that name a person ("chez M. …", "c/o …") are dropped.
- E-mail addresses and phone numbers that appear in names or addresses are masked.

You are responsible for using the data in line with the law that applies to you, including the GDPR and French rules on direct marketing.

### Other Rowcraft actors

All Rowcraft actors read official or public sources, deliver flat rows without personal data and support only-new runs and notifications:

- [Ashby Jobs Scraper – Job Postings with Salary Ranges](https://apify.com/rowcraft/ashby-jobs-scraper) — Job postings from Ashby job boards (jobs.ashbyhq.com) by company: title, department, team, locations with country, employment and workplace type, published salary range, full text.
- [Broken Link Checker – Find 404s and Dead Links API](https://apify.com/rowcraft/broken-link-checker) — Pay per crawled page, not per link: crawl a site within robots.txt and check every link on each page for 404s, 5xx errors, DNS and TLS failures and redirects.
- [Career Site Jobs Scraper: Greenhouse, Lever, Ashby, Workday](https://apify.com/rowcraft/career-site-jobs-scraper) — Job listings from the career pages of the companies you choose on Greenhouse, Lever, Ashby, Workday, Workable, Personio, Recruitee, Teamtailor and Gem, in one run and one format: title, locations, department, salary when published, full text.
- [Chrome Web Store Scraper: Users, Ratings & Versions](https://apify.com/rowcraft/chrome-web-store-scraper) — Reads public Chrome Web Store listing pages with no login, no proxy and no personal data: users, rating, category, version, update date, permissions and company developers.
- [Domain Email and DNS Checker API: MX, SPF, DMARC, Providers](https://apify.com/rowcraft/domain-email-dns-checker) — Find which email provider, sending services and DNS host each domain uses, from public DNS records only.
- [Gem Jobs Scraper – Job Board Listings from jobs.gem.com](https://apify.com/rowcraft/gem-jobs-scraper) — Job listings from Gem job boards (jobs.gem.com) by company: title, department, offices with country, employment type, remote, hybrid or on-site, requisition ID, publication date and full ad text, from the public Gem Job Board API.
- [Google Play Apps Scraper: App Details, Installs, Ratings](https://apify.com/rowcraft/google-play-apps-scraper) — Public Google Play app details as flat rows: installs, rating, number of ratings, price, version, last update, minimum Android, ads and in-app purchases.
- [Greenhouse Jobs Scraper – Job Listings by Company Board](https://apify.com/rowcraft/greenhouse-jobs-scraper) — Job listings from Greenhouse job boards by company: title, departments, offices, publication date, full ad text, published pay ranges.
- [Himalayas Jobs Scraper: Remote Jobs API with Salaries](https://apify.com/rowcraft/himalayas-jobs-scraper) — Remote jobs from Himalayas through its public jobs API: title, company, salary range, seniority, categories, the countries and time zones open to candidates, full description and job link.
- [KRS Poland Companies Scraper: Register Data, PKD, Status](https://apify.com/rowcraft/krs-poland-companies) — Polish companies from the official KRS register API of the Ministry of Justice: name, KRS, NIP and REGON numbers, legal form, status, address, PKD activity codes, share capital, branches and registration dates.
- [LEI Records Scraper: Legal Entity Identifier Lookup API](https://apify.com/rowcraft/lei-records-scraper) — Legal Entity Identifier (LEI) records from the Global LEI Index, read through the public GLEIF API: legal name, legal form, register number, addresses, status, renewal date and parent companies.
- [Lever Jobs Scraper – Job Postings from jobs.lever.co](https://apify.com/rowcraft/lever-jobs-scraper) — Job postings from Lever career pages (jobs.lever.co) by company: title, team, department, location, commitment, workplace type, salary range when published, description, requirements and benefits.
- [Norway Company Register Scraper: Brønnøysund Business Data](https://apify.com/rowcraft/norway-company-register-scraper) — Norwegian companies from the Central Coordinating Register for Legal Entities (Brønnøysund, NLOD open data): organisation number, legal form, industry, employees, share capital, addresses, website, VAT and bankruptcy status.
- [Personio Jobs Scraper: Job Listings, Salaries, Departments](https://apify.com/rowcraft/personio-jobs-scraper) — Job ads from any company's Personio careers feed: title, department, office, employment type, schedule, seniority, salary when published, keywords and the full description in the language you choose.
- [Platsbanken Scraper: Sweden Jobs, Employers, Org Numbers](https://apify.com/rowcraft/platsbanken-jobs-scraper) — Every job ad on Platsbanken (Arbetsförmedlingen) from the official JobTech API: headline, employer and organisation number, occupation codes, municipality, coordinates, salary type, deadline and full text.
- [Recruitee Jobs Scraper – Job Listings by Company Career Site](https://apify.com/rowcraft/recruitee-jobs-scraper) — Job listings from Recruitee career sites by company: title, department, locations with country, employment type, remote flag, published salary and full text, one request per company.
- [Robots.txt and AI Crawler Access Checker API](https://apify.com/rowcraft/robots-ai-crawler-checker) — Check which AI and search crawlers a website lets in: GPTBot, ClaudeBot, PerplexityBot, Google-Extended and more, read from robots.txt by the RFC 9309 rules.
- [RSS Feed Finder and Reader – Blog and News Article API](https://apify.com/rowcraft/rss-feed-finder-reader) — Find the RSS, Atom and JSON feeds of any website and read their newest articles, from a domain name alone.
- [SEO Audit Tool: Titles, Meta Tags, Headings and Links API](https://apify.com/rowcraft/seo-audit-tool) — Audit the on-page SEO of any list of pages or websites: titles, meta descriptions, headings, canonicals, indexing, links, images and structured data, with a score and the issues found per page.
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- [Sitemap URL Extractor: Every Page with Last-Modified Dates](https://apify.com/rowcraft/sitemap-url-extractor) — Get every page a site lists in its sitemaps, with last-modified dates, from robots.txt through sitemap indexes and .gz files.
- [SSL Certificate and Security Headers Checker API](https://apify.com/rowcraft/ssl-security-headers-checker) — Check the TLS certificate and the HTTP security headers of every domain in one run, with an A+ to F grade and the exact issues to fix.
- [Store Products Scraper – Shopify, WooCommerce, VTEX](https://apify.com/rowcraft/store-products-scraper) — Export the product catalogue of any Shopify, WooCommerce or VTEX store from its public catalogue endpoint: title, brand, prices, discounts, stock, categories, images and links, one row per product, the same columns on every platform.
- [Structured Data Extractor: JSON-LD, Schema.org, Open Graph](https://apify.com/rowcraft/structured-data-extractor) — Pull the schema.org JSON-LD, Microdata, RDFa and Open Graph of any page list into flat rows: types, product price, availability, ratings, organization, breadcrumbs, with validation issues.
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- [TED Tenders Scraper: EU Public Procurement Notices API](https://apify.com/rowcraft/ted-tenders-scraper) — EU public procurement notices from TED (Tenders Electronic Daily), the official EU tenders portal, through its public Search API: title, buyer, country, CPV codes, values, deadlines, lots and document links.
- [UK Companies House Scraper: Company Search & Profiles API](https://apify.com/rowcraft/uk-companies-house-scraper) — UK companies from the official Companies House API with your free key: search by name, status, type, SIC code, date or location, or look up company numbers.
- [UK Tenders Scraper: Find a Tender + Contracts Finder API](https://apify.com/rowcraft/uk-tenders-scraper) — UK public procurement notices from Find a Tender and Contracts Finder, the official UK government portals, through their open OCDS APIs: title, buyer, region, CPV codes, values, deadlines, notice type and links.
- [Bulk URL Status and Redirect Chain Checker API](https://apify.com/rowcraft/url-status-redirect-checker) — Check the status code, redirect chain, canonical and indexing signals of every URL in a list, with the final destination and a loop flag.
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- [WooCommerce Products Scraper – Store API Export](https://apify.com/rowcraft/woocommerce-products-scraper) — Export every product of a WooCommerce store through its public Store API: title, SKU, prices and sale prices, stock, categories, tags, attributes, ratings, images and links, one row per product.
- [Workable Jobs Scraper: Job Listings from Career Pages](https://apify.com/rowcraft/workable-jobs-scraper) — Job listings from any company's Workable career page: title, department, location, remote or on-site, employment type, description, requirements, benefits and salary when published.
- [Workday Jobs Scraper – Jobs from myworkdayjobs.com Sites](https://apify.com/rowcraft/workday-jobs-scraper) — Job listings from Workday career sites (myworkdayjobs.com) by company: title, locations, country, posting date, time type, requisition ID and the full description.

### FAQ

**Is this web scraping?** No. It uses the official public API of the French government. No login or API key is needed.

**What is the difference between SIREN and SIRET?** SIREN (9 digits) identifies the company; SIRET (14 digits) identifies one establishment. The actor returns one row per company with the head office SIRET, and optionally the matching establishments.

**Why are sole traders not included?** Because a sole trader is a person. Rowcraft actors do not collect personal data.

**Why do I get fewer companies with a department filter than on other sites?** By default the actor keeps only companies whose head office is in that department. Set `headOfficeInArea` to `false` to also get companies with only an establishment there.

**Can I get every company in France?** Yes in principle: leave `maxItems` at `0` and use a broad filter. The actor splits the search as needed. Large exports take time at one request per second.

**How much does it cost?** $3.00 per 1,000 companies on the Free plan, less on paid plans (see Pricing). You pay only for rows delivered to your dataset; set a maximum total charge in the run options to cap a run.

**Can I pay only for new companies?** Yes. Turn on **Only new rows since the last run**: the actor remembers what it delivered to you and later runs with the same state name deliver (and charge) only the new rows.

**How do I get the results into Slack, Google Sheets, Make, n8n or Zapier?** Use the Integrations tab of the Actor for the data, and the `notifyUrl` field for a message when a run ends (Slack and Discord webhooks work directly; catch hooks of Make, n8n and Zapier too).

**Can I call it from code or from an AI agent?** Yes: through the Apify API, the JavaScript and Python clients, and the Apify MCP server. The API tab shows a working example with the input of this Actor.

**Is it legal to use this data?** The actor reads the official API described in the Data source section and delivers company and job data without personal data. The licence of the source is described above. How you use the data is your responsibility under the law that applies to you.

**Does it collect personal data?** No. Contact persons, e-mails and phone numbers are removed and fields about people are never requested. See the Privacy section.

**The run finished with 0 rows. Did I pay?** No: with no rows delivered nothing is charged apart from the start event. Check the run summary (`RUN_SUMMARY`) for warnings, widen the filters, or run with **Only new rows** off if everything matching was already delivered to you.

### Support and reviews

**Problems, missing fields, questions:** open an issue on the **Issues** tab of this Actor. We answer within one working day and fix confirmed bugs in the next release; the changelog lists every change.

If this Actor saved you time, a short review on its page helps other users find it and helps us keep improving it.

# Changelog

This Actor's version history is a separate document: https://apify.com/rowcraft/france-company-register/changelog.md

# Actor input Schema

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

Company name, brand or address words, e.g. "boulangerie", "Decathlon", "rue de Rivoli". Leave empty to use the filters only.

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

NAF codes or prefixes: "62.01Z", "6201Z", "62" (all of division 62), "56.10". All 732 codes are recognised.

## `sections` (type: `array`):

Broad sectors (A to U), e.g. F Construction, J Information and communication.

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

French departments (01 Ain … 75 Paris … 976 Mayotte).

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

French regions, e.g. Île-de-France, Auvergne-Rhône-Alpes.

## `postcodes` (type: `array`):

5-digit postcodes, e.g. "75008", "69002".

## `headOfficeInArea` (type: `boolean`):

On (default): keep only companies whose head office is in the chosen departments, regions or postcodes. Off: also companies with only a branch there (the API matches any establishment).

## `status` (type: `string`):

Active companies (default), closed ones, or both.

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

INSEE legal-form codes, e.g. 5710 SAS, 5499 SARL, 5720 SASU, 6540 SCI, 9220 Association. Sole traders are never included.

## `employeeBands` (type: `array`):

Headcount bands as reported to INSEE.

## `companyCategories` (type: `array`):

PME (SME), ETI (mid-size) or GE (large). Small units often have no category.

## `labels` (type: `array`):

Keep only companies that have all the chosen labels.

## `revenueMin` (type: `integer`):

Latest published revenue (chiffre d'affaires). Only companies that publish accounts have one.

## `revenueMax` (type: `integer`):

Latest published revenue.

## `netIncomeMin` (type: `integer`):

Latest published net income (résultat net).

## `netIncomeMax` (type: `integer`):

Latest published net income.

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

YYYY-MM-DD. The API cannot filter by date, so this filter is applied to the matching companies after reading; combine it with other filters.

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

YYYY-MM-DD, applied after reading.

## `sirenList` (type: `array`):

Look up these companies instead of searching: 9-digit SIREN, 14-digit SIRET, or a link that contains one. Spaces are fine.

## `latitude` (type: `string`):

Search around a point instead: latitude, e.g. 45.764 (Lyon).

## `longitude` (type: `string`):

Longitude, e.g. 4.8357.

## `radiusKm` (type: `number`):

Up to 50 km. Default 5.

## `maxItems` (type: `integer`):

Stop after this many companies. 0 = all matches (the actor splits searches past the API's 10,000-result cap).

## `includeEstablishments` (type: `boolean`):

Adds the company's establishments that match the place filters (SIRET, address, coordinates, activity, headcount band).

## `countOnly` (type: `boolean`):

Only count how many rows match your filters and estimate the cost at your price tier. Nothing is delivered and nothing is charged apart from the start event. Turn it off to get the data.

## `onlyNew` (type: `boolean`):

Remember the rows already delivered to you (in a key-value store in your Apify account) and deliver only rows that appeared since the last run with the same state key. The first run delivers everything that matches; later runs cost only the new rows. Ideal for schedules.

## `stateName` (type: `string`):

Name of the memory used by "Only new rows". Use a different name for each schedule or search (for example `stockholm-python`) so they do not share one memory.

## `notifyUrl` (type: `string`):

A webhook address that receives one JSON POST with the number of new rows and links to the dataset: a Slack or Discord incoming webhook, a Make, n8n or Zapier catch hook, or your own endpoint. The message is also in the `text` (Slack) and `content` (Discord) fields.

## `notifyWhenEmpty` (type: `boolean`):

By default the notification is sent only when at least one row was delivered.

## `requestIntervalMs` (type: `integer`):

Default 1000 ms (one request per second); each request returns up to 25 companies. Minimum 250.

## Actor input object example

```json
{
  "nafCodes": [
    "62.01Z"
  ],
  "departments": [
    "69"
  ],
  "headOfficeInArea": true,
  "status": "active",
  "maxItems": 50,
  "includeEstablishments": false,
  "countOnly": false,
  "onlyNew": false,
  "stateName": "default",
  "notifyWhenEmpty": false,
  "requestIntervalMs": 1000
}
```

# Actor output Schema

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

All delivered rows in the default dataset (JSON, CSV, Excel and other formats via the dataset API).

## `runSummary` (type: `string`):

Counts, warnings and why the run stopped (RUN_SUMMARY record in the default key-value store).

# 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": [
        "62.01Z"
    ],
    "departments": [
        "69"
    ],
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("rowcraft/france-company-register").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": ["62.01Z"],
    "departments": ["69"],
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("rowcraft/france-company-register").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": [
    "62.01Z"
  ],
  "departments": [
    "69"
  ],
  "maxItems": 50
}' |
apify call rowcraft/france-company-register --silent --output-dataset

```

## MCP server setup

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

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/QJ3rP5pAqqbdL5Bc0/builds/gWGNNdqwIJTNnhvoC/openapi.json