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France SIRENE Company Registry Scraper

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France SIRENE Company Registry Scraper

France SIRENE Company Registry Scraper

πŸ‡«πŸ‡· Extract French SIRENE company and establishment records by name, SIREN/SIRET, location, NAF code, and active status.

Pricing

Pay per event

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Developer

Stas Persiianenko

Stas Persiianenko

Maintained by Community

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2

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1

Monthly active users

5 days ago

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Extract French company and establishment records from the official SIRENE / Recherche Entreprises API.

Use this actor to build verified B2B lead lists, enrich SIREN or SIRET numbers, check company status, and export structured French registry data to JSON, CSV, Excel, or your own API workflow.

What does France SIRENE Company Registry Scraper do?

France SIRENE Company Registry Scraper searches the public French company registry and saves clean records to an Apify dataset.

It can search by:

  • πŸ”Ž company name or keyword
  • πŸ†” SIREN number
  • 🧾 SIRET number
  • πŸ“ postal code
  • πŸ—ΊοΈ department or region code
  • 🏭 NAF / APE activity code
  • βœ… active or inactive administrative status

The source is the official public French government search API, so the actor does not need a browser, login, or private token.

Who is it for?

Sales and lead generation teams

Find French companies in a city, department, region, or activity category and export leads for outreach.

KYB and compliance teams

Check whether a French business is active, verify its SIREN/SIRET identifiers, and capture registry metadata for onboarding.

Market researchers

Measure company presence by industry, geography, establishment count, and administrative status.

Data enrichment teams

Append legal names, addresses, activity codes, and public registry URLs to an existing list of SIREN or SIRET numbers.

No-code automation users

Connect the actor to Google Sheets, Make, Zapier, Slack, or your CRM using Apify integrations.

Why use this actor?

  • βœ… Uses the official public SIRENE search API
  • βœ… HTTP-only, fast, and cost-efficient
  • βœ… Supports direct SIREN/SIRET lookup
  • βœ… Supports geographic and activity filters
  • βœ… Exports structured fields instead of raw API blobs
  • βœ… Includes source URLs for verification
  • βœ… Works well for recurring lead enrichment jobs

Data you can extract

FieldDescription
siren9-digit company identifier
siret14-digit establishment identifier
legalNameRegistered legal name
fullNameFull public registry name
tradeNameCommercial name when available
companyStatusCompany administrative status
establishmentStatusEstablishment administrative status
isActiveBoolean active/inactive flag
activityCodeNAF / APE code
activityCodeNaf25NAF 2025 code when available
legalFormCodeFrench legal-form code
companyCategoryCompany size category
employeeRangeCompany employee band
addressEstablishment address
postalCodePostal code
communeNameCommune name
departmentDepartment code
regionRegion code
latitude / longitudeGeolocation when published
sourceUrlPublic Annuaire Entreprises URL
sourceApiUrlAPI request URL used for the record
scrapedAtTimestamp of extraction

How much does it cost to scrape France SIRENE company records?

The actor uses pay-per-event pricing.

  • A small one-time start event is charged when the run starts.
  • A record-pack event is charged once for each started pack of 4 companies or establishments saved.
  • The BRONZE reference price is $0.0001 per 4-record pack, which is about $0.000025 per record (about $0.025 per 1,000 records) when records are returned in full packs, with tier discounts on larger Apify plans.
  • The final price is visible before you run the actor on Apify.

Because the scraper uses an official JSON API and no browser, it is designed to stay inexpensive for lead-generation and enrichment workloads.

Input options

queries

Search terms such as:

  • boulangerie Paris
  • restaurant Lyon
  • sociΓ©tΓ© conseil informatique
  • plomberie Marseille

identifiers

Direct SIREN or SIRET lookup values.

Examples:

  • 830998175
  • 83099817500012

maxResults

Maximum number of records to save.

Start with a small value such as 25 or 50 when testing.

activeStatus

Choose:

  • all
  • active
  • inactive

establishmentMode

Choose:

  • headquarters β€” one row per company head office
  • matchingEstablishments β€” rows for matching establishments returned by the API

Geographic filters

Use one or more of:

  • postalCodes
  • departments
  • regions

Activity filters

Use activityCodes for NAF / APE codes such as:

  • 56.10A restaurants
  • 47.11D supermarkets
  • 62.01Z software publishing

Example input

{
"queries": ["boulangerie Paris"],
"maxResults": 50,
"activeStatus": "active",
"establishmentMode": "headquarters",
"departments": ["75"],
"resultsPerPage": 25,
"requestDelayMs": 200
}

Example output

{
"query": "boulangerie Paris",
"siren": "123456789",
"siret": "12345678900012",
"legalName": "EXAMPLE BOULANGERIE",
"tradeName": "BOULANGERIE EXAMPLE",
"companyStatus": "A",
"isActive": true,
"activityCode": "10.71C",
"address": "1 RUE EXEMPLE 75001 PARIS",
"postalCode": "75001",
"communeName": "PARIS",
"department": "75",
"sourceUrl": "https://annuaire-entreprises.data.gouv.fr/entreprise/123456789",
"scrapedAt": "2026-06-10T00:00:00.000Z"
}

How to run

  1. Open the actor on Apify.
  2. Enter one or more search terms or SIREN/SIRET numbers.
  3. Add optional location or activity filters.
  4. Set maxResults.
  5. Click Start.
  6. Export the dataset as CSV, Excel, JSON, XML, or RSS.

Search tips

  • Use French business terms for better coverage.
  • Combine keywords with location filters for cleaner leads.
  • Use SIREN/SIRET lookup when enriching a known list.
  • Use activeStatus: active for prospecting.
  • Use matchingEstablishments when you need branch-level locations.
  • Keep resultsPerPage at 25 for efficient pagination.

Common use cases

  • Build a list of restaurants in a department.
  • Find active construction companies by NAF code.
  • Enrich CRM rows with SIREN and SIRET identifiers.
  • Verify whether a French supplier is still active.
  • Create a local-business database for market analysis.
  • Monitor changes in public company availability.

Integrations

You can connect results to:

  • Google Sheets for lead lists
  • Make for no-code automations
  • Zapier for CRM workflows
  • Slack for status notifications
  • Webhooks for enrichment pipelines
  • Apify API for scheduled data jobs

API usage

Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/france-sirene-company-registry-scraper').call({
queries: ['restaurant Lyon'],
maxResults: 25,
activeStatus: 'active'
});
console.log(run.defaultDatasetId);

Python

from apify_client import ApifyClient
client = ApifyClient('MY-APIFY-TOKEN')
run = client.actor('automation-lab/france-sirene-company-registry-scraper').call(run_input={
'queries': ['restaurant Lyon'],
'maxResults': 25,
'activeStatus': 'active',
})
print(run['defaultDatasetId'])

cURL

curl -X POST 'https://api.apify.com/v2/acts/automation-lab~france-sirene-company-registry-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"queries":["restaurant Lyon"],"maxResults":25,"activeStatus":"active"}'

MCP usage

Use this actor from Claude Desktop, Claude Code, or any MCP-compatible client through Apify MCP Server.

MCP server URL:

https://mcp.apify.com/?tools=automation-lab/france-sirene-company-registry-scraper

Claude Code setup:

$claude mcp add apify-france-sirene "https://mcp.apify.com/?tools=automation-lab/france-sirene-company-registry-scraper"

Claude Desktop JSON config:

{
"mcpServers": {
"apify-france-sirene": {
"url": "https://mcp.apify.com/?tools=automation-lab/france-sirene-company-registry-scraper"
}
}
}

Example prompts:

  • "Find 25 active bakeries in Paris from the SIRENE registry."
  • "Enrich these SIREN numbers with legal names and addresses."
  • "Export active restaurants in department 69 with SIRET and address fields."

Scheduling

Schedule the actor to refresh a French company lead list weekly or monthly.

Recommended recurring setup:

  • Keep a stable query and filters.
  • Export the dataset to your warehouse.
  • Deduplicate by SIRET.
  • Track changes in companyStatus, address, or activityCode.

Data quality notes

The actor returns fields published by the public registry API.

Some companies may not publish every optional field. For example, geolocation, employee range, or trade name may be missing for some records.

Use siren for company-level deduplication and siret for establishment-level deduplication.

Legality

This actor uses public French government registry data. You are responsible for using exported data lawfully, including respecting GDPR, ePrivacy, anti-spam rules, and contractual obligations that apply to your use case.

Do not use the data for unlawful profiling, harassment, or unsolicited communications that violate applicable law.

FAQ

Is this an official French government actor?

No. The actor is built by Automation Lab and uses the public official Recherche Entreprises / SIRENE API as its data source.

Can I search only active companies?

Yes. Set activeStatus to active to request active registry records.

Can I deduplicate results?

Yes. Use siret for establishment-level deduplication or siren for company-level deduplication.

Troubleshooting

Why did I get fewer records than requested?

The source may have fewer matching records for your query and filters, or duplicates may be removed by SIRET.

Why are some fields empty?

The public API does not publish every optional attribute for every company or establishment.

Why did a SIREN lookup return one company but no branch rows?

Use establishmentMode: matchingEstablishments to return matching establishment rows when the API exposes them.

Explore other Automation Lab actors for company, lead-generation, and public registry workflows:

Support

If you need a field that exists in the public SIRENE API but is not exported yet, open an issue with an example SIREN/SIRET and the field name.

Changelog

Initial version:

  • Search by keyword or identifier
  • Location and NAF filters
  • Active/inactive status filter
  • Headquarters or matching-establishments mode
  • Structured output dataset