SIRET Company Scraper

SIRET Scraper: French Company Data from the SIRENE Register

Look up French companies by name, SIREN or SIRET and get the official register data as a spreadsheet: SIREN and SIRET numbers, activity code (NAF/APE), legal form, size category, employee range, creation date, active or closed status, head-office address with coordinates, number of establishments, directors' names and roles, and official financials with VAT number when published. The data comes from the French government's public company register (SIRENE), so it's the same record your bank or accountant checks.

Who uses it

• B2B sales teams building lists of French companies by activity, department and size. Example: every active bakery in Paris.
• Compliance and finance teams checking that a supplier or customer exists and is still active (KYB).
• CRM and data teams filling in SIREN, activity code and size for a list of company names.

What you get

Active bakeries (boulangerie) with an establishment in Paris, on 15 November 2026:

Company	SIREN	Activity (NAF)	Head office	Created	Category	Establishments open
Boulangeries Paul	403052111	10.71A	Marcq-en-Barœul (59700)	1995	ETI	124
Boulangerie Lorette (Lorette Bac)	878050921	10.71C	Paris 13 (75013)	2019	PME	5
Boulangerie du Nil	812809234	10.71C	Paris (75002)	2015	PME	5
Boulangerie Chambelland	797515350	10.71C	Paris (75011)	2013	PME	3
Boulangerie Mozart	808518864	10.71C	Paris (75015)	2014	PME	2

The department filter keeps companies with at least one establishment there, which is why Paul shows up with its head office near Lille.

Each row also carries the head-office SIRET, full address and coordinates, legal form code, employee range and the year it refers to, the total number of establishments, whether the head office employs staff, the last update date, the directors' names and roles, and when available the latest revenue, net income, financial year and VAT number.

Three modes

Mode	What you get
search (default)	Companies matching a name, brand or keyword, with filters
detail	The record for each SIREN or SIRET you give it
monitor	Only companies that are new or changed (status, address, activity, size) since the last run

Price

$4 per 1,000 companies. There's no start fee. In monitor mode you pay only for new and changed companies. The five bakeries above cost $0.02.

How to run it

IT services companies around Lyon (Rhône, department 69) with "informatique" in their name, still active:

{
  "query": "informatique",
  "department": "69",
  "activityCode": "62.01Z",
  "legalStatus": "A",
  "maxItems": 500
}

Target companies in a specific postal code or commune (INSEE code), for example bakeries in Paris 13th (postal code 75013, commune 75113):

{
  "query": "boulangerie",
  "postalCode": "75013",
  "commune": "75113",
  "legalStatus": "A",
  "maxItems": 100
}

The search matches company names, brands and addresses, so start from a word the companies you want would use.

Check a list of suppliers:

{
  "mode": "detail",
  "sirenOrSiret": ["403052111", "87805092100013"]
}

For monitoring, save the list as a task with "mode": "monitor" and schedule it weekly. You'll hear about a company that closes, moves or changes activity.

Input

Field	Default	What it does
query	boulangerie	A company name, brand, address word, or a SIREN (9 digits) or SIRET (14 digits).
queries	none	Several searches or numbers in one run.
sirenOrSiret	none	A list of SIREN or SIRET numbers to fetch directly.
mode	search	search, detail or monitor.
department	all	A department code, for example 75, 13 or 2A.
postalCode	all	A postal code, for example 75013 or 13008.
commune	all	An INSEE commune code, for example 75113 for Paris 13th.
region	all	A region code, for example 11 for Île-de-France.
activityCode	all	A NAF code, for example 10.71C for bakeries.
legalStatus	all	A (active) or C (closed).
employeeRange	all	An INSEE size code, for example 11 (10 to 19 employees) or 12 (20 to 49).
companyCategory	all	PME, ETI or GE.
maxItems	50	The most companies per search.

Output fields

siren, siret, companyName, commercialName, status, creationDate, activityCode, activityCodeNaf25, activitySection, legalFormCode, companyCategory, employeeRange, employeeYear, headOfficeAddress, headOfficePostalCode, headOfficeCity, headOfficeDepartment, headOfficeRegion, headOfficeCountry, headOfficeStatus, headOfficeIsEmployer, latitude, longitude, revenue, netIncome, financialYear, vatNumber, totalEstablishments, openEstablishments, directorCount, directorNames, lastUpdate, url.

FAQ

Where does the data come from? From SIRENE, the French national company register run by INSEE, through the government's public company search. It's free public data; you pay for the clean, filtered export.

What's the difference between SIREN and SIRET? SIREN (9 digits) identifies the company. SIRET (14 digits) identifies one establishment of that company: the SIREN plus 5 digits.

What do PME, ETI and GE mean? INSEE's size categories: PME is a small or medium business, ETI a mid-sized company, GE a large company.

Do I get phone numbers or emails? No. The register doesn't hold them, and we don't add them.

Something looks wrong in my results. Open an issue on the Issues tab with your input and we'll look at it.

En français

Recherchez des entreprises françaises par nom, SIREN ou SIRET et obtenez les données officielles du répertoire SIRENE dans un tableur : SIREN, SIRET, code NAF, forme juridique, catégorie, tranche d'effectif, date de création, statut, adresse du siège, nombre d'établissements et dirigeants.

Use it from AI agents (MCP) and Python

AI agents. Add this Actor as a tool in Claude, Cursor, VS Code or any MCP client through the Apify MCP server. The agent reads the input schema, so a plain request is enough.

{
  "mcpServers": {
    "siret-company-scraper": {
      "url": "https://mcp.apify.com?tools=redomic/siret-company-scraper",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Python. pip install apify-client, then:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("redomic/siret-company-scraper").call(run_input={"query": "boulangerie", "maxItems": 5, "mode": "search"})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

More from us

• Allabolag Scraper - Swedish Company Data: Scrape allabolag.se for Swedish company financials, industry, status and board role titles by search, org number or URL
• Ashby Jobs Scraper with Salaries: Ashby jobs scraper for any startup careers board (OpenAI, Ramp, Notion and thousands more), with salary ranges as numbers: min, max, currency, period, plus equity and bonus flags
• ATS Jobs Search: Greenhouse, Lever & Ashby Jobs API: Search 300,000+ open jobs from 11,000+ companies on Greenhouse, Lever and Ashby in one run
• Blocket Scraper: Car Monitor: Blocket scraper: each run returns up to 2,500 Blocket Bil and Torget listings as flat rows with price, make, model, year, mileage, VIN, inspections and seller
• Closed Jobs Tracker: Filled Roles & Time-to-Fill: Search closed jobs from 11,000+ companies with closedOn, daysOpen and time-to-fill signals
• Google Jobs Scraper - Job Postings API: Google Jobs and job postings scraper: get job title, company, location, posted date, salary, full description and every apply link for any search
• Google Trends API: Trending Now & Interest Over Time: Trending-now searches and new-trends alerts/monitoring per country with the news behind them, plus interest over time, interest by region, and related and rising queries for any keyword
• GovDeals Scraper: Search and monitor GovDeals government surplus auctions
• Greenhouse Jobs Monitor & Scraper: Monitor Greenhouse jobs from any company careers board (Airbnb, Stripe, Discord and thousands more)
• Job Postings Dataset: 320k+ Open Jobs, Updated Daily: 320,000+ open jobs from 10,000+ company career sites (Greenhouse, Lever, Ashby), updated daily with first-seen and closed dates
• Lever Jobs Scraper with Salaries: Lever jobs scraper for any company's careers page (Palantir, Spotify, Zoox, Shield AI and thousands more): flat rows with title, team, location, workplace, commitment, apply link, salary as numbers and the full description merged
• Marktplaats.nl Scraper: Scrape Marktplaats.nl listings into clean rows: title, price in EUR, condition, seller, location, images
• Otodom Scraper: Poland Property Listings & Price Monitor: Scrape Otodom.pl property listings in Poland
• Otomoto.pl Scraper: Scrape Otomoto.pl Polish car listings: one run returns used-car rows with price, make, model, year, mileage, fuel, gearbox, seller and URL
• Personio Jobs Scraper: Scrape open jobs from Personio company career pages (jobs.personio.de/.com XML feeds)
• Salary Data API: Pay Ranges by Job Title & Level: Get salary benchmarks (p10-p90, annualised, with n) and pay ranges from 150,000+ employer-posted jobs across 11,000+ companies, updated daily
• SUUMO Scraper - Japan Property Listings: Scrape SUUMO Japan property listings from search URLs for rentals and sales
• Talabat Scraper — Menus, Prices & Delivery Fees: Talabat menus, prices and delivery fees as flat rows in 8 MENA markets
• Workday Jobs Scraper: Search and monitor public Workday (myworkdayjobs.com) job postings