France Company Search Scraper - SIREN & Leads

France Company Search Scraper - SIREN & Leads pulls structured data from API Recherche d'entreprises (data.gouv.fr) and returns it as a clean dataset you can export as JSON, CSV or Excel. It queries France's official company search API and returns one row per company with its SIREN, legal name, NAF activity code, category, head-office address, creation date and directors, so you can build a French B2B prospect list without an API key.

No API key, no login. Click Start and it works with the prefilled input.

What does France Company Search Scraper - SIREN & Leads do?

It queries API Recherche d'entreprises (data.gouv.fr) and returns one row per record, with only the fields that matter. Runs on the Apify platform, so you get an API endpoint, scheduling, monitoring and integrations (Zapier, Make, Google Sheets, webhooks) without maintaining any infrastructure.

Why use it?

• API Recherche d'entreprises (data.gouv.fr) data without the plumbing: no proxy setup, no pagination code, no scraping maintenance.
• Schedule it to monitor changes daily or weekly and trigger alerts on new records.
• Feed it straight into a spreadsheet, database, or an AI agent via the Apify API or MCP server.
• Runs in seconds and returns a typed dataset that is ready for analysis.

How to use it

1. Click Try for free / Start.
2. Leave the default input to see a sample run, or type your own values (see Input below).
3. Press Start and wait a few seconds.
4. Open the Output tab and download as JSON, CSV, Excel or HTML.

Input

Field	Type	Default	Description
query	string	"boulangerie"	Company name or keyword, e.g. boulangerie, garage, cabinet comptable.
departement	string	"75"	French department number, e.g. 75 (Paris), 69 (Rhone), 13 (Bouches-du-Rhone), 31 (Haute-Garonne).
maxResults	integer	25	Maximum number of companies to return.

Example input:

{
  "query": "boulangerie",
  "departement": "75",
  "maxResults": 5
}

Output

One item per record. Sample:

{
  "company_name": "BOULANGERIES PAUL",
  "legal_name": "BOULANGERIES PAUL",
  "siren": "403052111",
  "category": "ETI",
  "naf_code": "10.71A",
  "creation_date": "1995-12-07"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Field	Type	Meaning
company_name	string	Company
legal_name	string	Legal Name
siren	string	SIREN
category	string	Size Category
naf_code	string	NAF Activity Code
creation_date	string	Creation Date
status	string	Status
address	string	Head Office Address
city	string	City
postcode	string	Postcode
etablissements	integer	Establishments
dirigeants	string	Directors

How much does it cost to run?

This Actor uses pay-per-event pricing: you pay per result item pushed to the dataset, and nothing for an empty run. Each run is a few seconds of compute, so typical costs are fractions of a cent per run, and the Apify free tier covers plenty of testing.

Tips and advanced options

• Raise maxResults for a bigger pull; the Actor pages through the source for you.
• Schedule it (e.g. every morning) and combine with a webhook to get only the new records.
• Add the Actor to an AI agent through the Apify MCP server for natural-language queries.

FAQ, disclaimers and support

• Is this legal? It uses publicly available data from API Recherche d'entreprises (data.gouv.fr). You are responsible for how you use the data and for complying with the source's terms.
• It returned nothing? Use a French keyword and a department number, e.g. "boulangerie" / "75" (Paris) or "garage" / "13" (Marseille).
• Something broken? Open an issue on the Actor's Issues tab. Data sources change and get fixed quickly.
• Need a custom variant (extra fields, a different source, a scheduled report)? Get in touch through the Issues tab.