France Company Data — SIRENE (INSEE) 🇫🇷

foXLabs European company-registry series: UK · Estonia · Latvia · Czechia · Poland · Slovakia · Slovenia · Denmark · Norway · Finland

🎉 Turn the French SIRENE registry into clean, structured company data — no login, no API key, one row per entity, with the SIREN/SIRET, legal form, NAF industry, employee band and address. Built for B2B sales, lead generation, KYB / compliance and market-research teams.

🔍 What is the France Company Data — and when should you use it?

Give this actor company names or SIREN / SIRET numbers and it returns matching companies from the French SIRENE registry (INSEE open API) — as clean, deduplicated rows you can filter, export or feed to an AI agent. Every run reads the source live.

Use it when you need: a company list for outreach; a quick profile before a call; or a starting point for account research.

Use something else when: you need firmographics the registry doesn’t hold (revenue, headcount, website, email) — pair this with an enrichment actor from Fox Labs.

🤖 Use with AI agents

Already on the Apify MCP server? Ask for this Actor by name: foxlabs/france-company-data.

Your agent can pay for its own runs. This Actor is pay-per-event with agentic payments, so an agent can discover it, run it and settle the bill over x402 (USDC on Base) or Skyfire — no Apify account or API token of its own. Billing is the same either way: per delivered record, never for errors.

Otherwise paste this into Claude, ChatGPT, Cursor or any MCP-enabled assistant:

I want to pull France company records using the Apify Actor `foxlabs/france-company-data`.
Input: `companyNames`, `sirenNumbers`, `nafCode`, `department` and more — see the Input table below. `maxResults` caps how many results are returned.
Start with: {"companyNames":["Doctolib","BlaBlaCar"],"maxResults":100}
Ask me what to look up, run the Actor, then summarise the rows as a table.

The machine-readable API, MCP config and OpenAPI definition live at apify.com/foxlabs/france-company-data.md.

📋 Overview

Everything you need to turn the French SIRENE registry (INSEE open API) into clean, structured data — in one actor, with no login, cookies or API key.

Why teams pick this actor:

• ✅ Whole registry, one call — name or ID in, matching companies out.
• 🧹 No empty-promise columns — only fields this registry actually fills; degenerate columns are removed.
• 🔗 Stable identifiers — every row carries the source's own IDs, ready to join across runs and to other Fox Labs actors.
• 💰 Per-row pricing — a minimal price per delivered row, no subscription.
• 🤖 Agent-ready — MCP + x402 agentic payments.

✨ Features

• 🔍 Name or ID lookup — relevance-ranked name search or exact registry-ID lookup.
• 🏢 Full entity profile — status, legal form, formation date, address and the registry’s own contact fields.
• 🧹 Clean schema — deduplicated camelCase rows, ready for CSV/Excel/JSON.

🎬 Quick Start

curl -X POST "https://api.apify.com/v2/acts/foxlabs~france-company-data/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companyNames":["Doctolib","BlaBlaCar"],"maxResults":100}'

🚀 Getting Started (3 steps)

1. Choose your targets — company names or SIREN / SIRET numbers.
2. Set the cap — maxResults limits how many results are returned.
3. Run and export — get a clean dataset as JSON, CSV or Excel.

📥 Input

{"companyNames":["Doctolib","BlaBlaCar"],"maxResults":100}

Field	Type	Description
companyNames	array	Search French companies by name (full-text). E.g. "Doctolib", "BlaBlaCar".
sirenNumbers	array	Exact lookup by 9-digit SIREN or 14-digit SIRET. The most precise input.
nafCode	string	Browse by NAF/APE activity code, e.g. "62.01Z" = Computer programming. Works without a name — combine with Department to browse a sector within a region. Leave…
department	string	French department (registered office / siège). Returns companies HEADQUARTERED in this department — not just those with a branch here. Combine with NAF to browse…
companyCategory	string	INSEE size class filter. PME = small & medium, ETI = mid-market, GE = large enterprise.
includeInactive	boolean	By default only active companies are returned. Enable to also include ceased (cessée) entities.
maxResults	integer	Hard cap on records (1–10000). The source API returns at most 10,000 per query — narrow with filters for larger sectors.
proxyConfiguration	object	Leave OFF (default). The official open-data API accepts direct connections but rejects the shared datacenter proxy pool (HTTP 503) — only enable a proxy if you…

📤 Output

One row per result, saved to the dataset. Every row carries scrapedAt. Lookups that cannot be completed are reported in the run log rather than silently dropped.

Field	Description
siren	Siren
name	Name
legalName	Legal Name
acronym	Acronym
status	active / inactive / dissolved
legalFormCode	Legal-form code
legalFormLabel	Legal Form Label
companyCategory	Company Category
nafCode	Naf Code
industrySection	Industry Section
employeeRange	Employee Range
dateCreated	Date Created
establishmentsCount	Establishments Count
address	Principal address
street	Street
postalCode	Postal code
city	City
department	Department
region	Region
latitude	Latitude
longitude	Longitude
directors	Directors
directorsCount	Directors Count
latestRevenue	Latest Revenue
latestRevenueCurrency	Latest Revenue Currency
latestRevenueFormatted	Latest Revenue Formatted
latestRevenueExact	Latest Revenue Exact
latestNetResult	Latest Net Result
latestFinancialYear	Latest Financial Year
financials	Financials
isNonprofit	Is Nonprofit
isESS	Is E S S
isMissionCompany	Is Mission Company
vatNumber	Vat Number
source	Source
sourceUrl	Public registry URL for the record

💼 Use cases

1. France B2B lead lists — active French companies by name or industry. Input: name searches. Output: entities + NAF + employee band. Use: a ready sales list.

2. Firmographic enrichment — attach legal form, industry and size to a SIREN. Input: SIREN/SIRET numbers. Output: the SIRENE record. Use: enrich a CRM.

3. KYB / due diligence — verify a French company by SIREN. Input: the SIREN or name. Output: the canonical SIRENE record. Use: confirm existence and status.

🔗 Integration

JavaScript / Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('foxlabs/france-company-data').call({"companyNames":["Doctolib","BlaBlaCar"],"maxResults":100});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('foxlabs/france-company-data').call(run_input={"companyNames":["Doctolib","BlaBlaCar"],"maxResults":100})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

Automation (n8n / Zapier / Make): schedule or webhook → HTTP request to the actor API with your input → handle the JSON dataset → push to a sheet, CRM or dashboard.

📊 Pricing

Pay-per-event: per delivered record. Empty or failed lookups are never billed. View current pricing.

❓ FAQ

Do I need an account, login or API key? No. This reads the French SIRENE registry (INSEE open API).

What do I search by? Company names or SIREN / SIRET numbers.

How current is the data? Every run queries the source live, so results are as fresh as the registry.

Why are firmographics like revenue or website missing? A public business registry doesn’t hold them; we don’t ship empty columns. Pair with an enrichment actor from Fox Labs.

Can I export to CSV / Excel / JSON? Yes — directly from the Apify dataset.

🐛 Troubleshooting

• Fewer rows than expected — raise maxResults, or refine the input.
• A name returns an unexpected entity — it matched a similar registered name; search the exact registry ID.
• No rows for a name — try the entity’s exact legal name or its registry ID.

⚖️ Is it legal to scrape this data?

This actor reads a public government business registry published as open data. Results can still contain personal data (e.g. a registered agent’s name); personal data is protected by the GDPR and similar laws, so only process it with a legitimate basis. See Apify’s blog post on the legality of web scraping.

🤝 Support & contact

• 🌐 Website: data.foxlabs.com.tr
• 📧 Email: info@foxlabs.com.tr
• 🐛 Issues: open a ticket in the Actor’s Issues tab
• 🧰 More clean B2B data actors: Fox Labs on Apify

Changelog

0.1.21 — 2026-09-20 — README examples corrected against the real input schema

• The README's code examples did not match this Actor. They used queries and maxResultsPerQuery — keys that do not exist in this Actor's input schema — with a placeholder value, and the input table listed those same phantom fields. Anyone who copied the AI-agent, cURL, JavaScript or Python example got a failing run. Every example now uses the real schema and matches the Console prefill: {"companyNames":["Doctolib","BlaBlaCar"],"maxResults":100}
• The input table is regenerated from input_schema.json, so it lists the fields the Actor actually accepts.
• Removed claims carried over from the same generator template where present: "formation / status monitoring", "a canonical registry record for KYB and due diligence", "every row carries query", and industry described as a NACE code.
• No code, output field or pricing change.

0.1 — 2026-09-07

• Enabled AI-agent payments (x402) + rebuilt the README to the full standard (What-is / when, AI-agents + x402 agentic payments + MCP, Overview, Features, Use cases, Integration, FAQ, Troubleshooting, Support & contact).

0.0

• Initial release: data from the French SIRENE registry (INSEE open API) by name or registry ID.