# France Company Search — INSEE SIRENE Official Registry (`agoradelmediterraneo/france-company-search`) Actor Search 25M French companies from official INSEE SIRENE registry. Filter by NAF sector, department, region, legal form and employee size. Returns SIREN, SIRET, TVA number, address, directors and financials. Source: api.gouv.fr open data (CC0). - **URL**: https://apify.com/agoradelmediterraneo/france-company-search.md - **Developed by:** [Agora](https://apify.com/agoradelmediterraneo) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## France Company Search & B2B Leads — Official SIRENE Data Search and extract data on **25 million French companies** directly from the official French government registry (INSEE SIRENE), via the Recherche-Entreprises API (api.gouv.fr). Filter by sector, location, legal form, and company size. Returns company name, SIREN, SIRET, address, directors, VAT number, and latest financials. **Data source:** Recherche-Entreprises API (api.gouv.fr) — official French government open data. No scraping. CC0 license. No API key required. --- ### Why This Actor? Most existing France company actors scrape **Pappers.fr** or similar third-party aggregators — introducing fragility, rate limits, and legal uncertainty. This actor queries the **official INSEE SIRENE registry directly** through the government API, giving you: - **Official data** — same source as the French tax authority - **25 million companies** — all registered French entities, not a subset - **Rich profiles** — directors, VAT number, financials, coordinates, NAF sector - **Stable access** — government API with no scraping restrictions - **Zero cost per query** — CC0 open data --- ### Use Cases #### 1. B2B Lead Generation Build targeted prospect lists by combining sector (NAF code) + location (department/region) + company size. Extract directors' names for personalized outreach. ```` NAF 62.01Z (software) + Île-de-France region → 10,000 software companies in Paris area NAF 41.20A (construction) + dept 33 (Bordeaux) → all active construction firms in Gironde ```` #### 2. VAT & KYB Verification Get a company's TVA intracomm number, SIREN, and active status for Know Your Business compliance checks before signing contracts. #### 3. Market Research Map your total addressable market in France by sector. Count companies by legal form, employee range, and region. Track where activity is concentrated. #### 4. Sales Territory Planning Filter companies by department and employee range (e.g., 10-49 employees) for SMB outreach campaigns. Get coordinates for geographic visualization. #### 5. Integration with n8n / Make / Zapier Feed this actor into automated enrichment pipelines: company name → full profile → CRM enrichment → personalized email draft. --- ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `query` | string | — | Search by company name, address, or director name | | `nafCode` | string | — | NAF activity code (e.g. `62.01Z` software, `47.11B` supermarkets, `41.20A` construction) | | `nafSection` | string | — | NAF section letter: `J`=IT/Telecom, `K`=Finance, `M`=Consulting, `F`=Construction, `G`=Commerce, `I`=Hotels, `Q`=Health | | `departement` | string | — | Department code: `75`=Paris, `69`=Rhône, `13`=Bouches-du-Rhône, `33`=Gironde | | `region` | string | — | Region code: `11`=Île-de-France, `84`=Auvergne-Rhône-Alpes, `93`=PACA | | `legalForm` | string | — | Legal form: `sas`, `sarl`, `sa`, `sasu`, `eurl`, `ei`, `sci`, `snc` | | `employeeRange` | string | — | Employee count: `0`, `1-2`, `3-5`, `6-9`, `10-19`, `20-49`, `50-99`, `100-199`, `500+` | | `activeOnly` | boolean | true | Return only active companies | | `maxItems` | integer | 200 | Max results (1–1,000) | #### Example: Software companies in Paris ```json { "nafCode": "62.01Z", "departement": "75", "activeOnly": true, "maxItems": 500 } ```` #### Example: SMBs in Lyon area (10-49 employees, all sectors) ```json { "departement": "69", "employeeRange": "10-19", "activeOnly": true, "maxItems": 200 } ``` #### Example: Search by company name ```json { "query": "Renault", "maxItems": 10 } ``` *** ### Output Format Each result contains: | Field | Description | |-------|-------------| | `siren` | Unique company identifier (9 digits) | | `siret_siege` | SIRET of registered office (14 digits) | | `nom` | Company name | | `nom_commercial` | Trade name (if different) | | `etat` | Status: `A`=Active, `C`=Closed | | `date_creation` | Incorporation date (YYYY-MM-DD) | | `nature_juridique` | Legal form code | | `naf_code` | Primary NAF/APE activity code | | `naf_section` | NAF section letter | | `naf_section_nom` | NAF section human-readable name | | `effectif_tranche` | Employee range code | | `adresse` | Full registered address | | `code_postal` | Postal code | | `commune` | City name | | `departement` | Department code | | `region` | Region code | | `latitude` / `longitude` | Coordinates | | `tva_intracomm` | EU VAT number (e.g. `FR50380474494`) | | `dirigeants` | Array of directors with name, title, type | | `finances` | Latest available financials (revenue, net income, year) | | `nb_etablissements` | Number of active establishments | | `fuente` | Link to official government profile | #### Sample Output ```json { "siren": "849239587", "siret_siege": "84923958700199", "nom": "SNAPDESK SAS", "nom_commercial": "SNAPDESK", "etat": "A", "date_creation": "2019-03-15", "nature_juridique": "5710", "naf_code": "62.01Z", "naf_section": "J", "naf_section_nom": "Information et communication", "effectif_tranche": "11", "adresse": "8 BOULEVARD DE STRASBOURG 75010 PARIS", "code_postal": "75010", "commune": "PARIS", "departement": "75", "region": "11", "latitude": "48.8701296506237", "longitude": "2.35494374973319", "tva_intracomm": "FR96849239587", "dirigeants": [ { "nom": "MARTIN", "prenoms": "JEAN-PIERRE", "qualite": "Président de SAS", "type": "personne physique" } ], "finances": { "ca": 2036401, "resultat_net": 88231, "annee": "2021" }, "nb_etablissements": 3, "fuente": "https://annuaire-entreprises.data.gouv.fr/entreprise/849239587" } ``` *** ### Coverage - **25+ million** total registered companies (all French legal entities) - **Active companies:** ~4.5 million - **With financials:** ~1 million companies with at least one year of filed accounts - **With directors:** majority of SAS, SA, SARL entities - **Geographic:** all 101 departments, all 18 regions, including DOM-TOM *** ### Pricing **Pay Per Result:** $0.001 per company extracted + $0.00005/run base cost. Extracting 500 companies costs **$0.50**. A weekly automated enrichment run of 1,000 companies costs **~$1**. *** ### Combine With Other Actors For full European coverage, use together with: - [Spain New Companies BORME](https://apify.com/agoradelmediterraneo/spain-new-companies-borme) — Spain official registry - UK Companies House actors for United Kingdom data *** ### FAQ **Is this data legal to use?** Yes. The Recherche-Entreprises API is published by the French government under CC0 open data license via data.gouv.fr. **How often is the data updated?** The SIRENE registry updates daily. Director changes, new incorporations, and status changes appear within 1-3 business days. **What is the API rate limit?** The api.gouv.fr endpoint is public and generous. The actor handles pagination automatically. **Can I filter by multiple NAF codes?** Currently one NAF code per run. For multi-sector extraction, run the actor multiple times with different codes. **What if I need more than 1,000 results?** Pagination is capped at 1,000 per run. For larger extractions, split by department or run multiple times with different filters. # Actor input Schema ## `query` (type: `string`): Search by company name, address, or director name. Leave empty to use filters only. ## `nafCode` (type: `string`): Filter by specific NAF activity code (e.g. '62.01Z' for software, '47.11B' for supermarkets, '41.20A' for construction). Takes precedence over nafSection. ## `nafSection` (type: `string`): Filter by NAF section letter: J=IT/Telecom, K=Finance, M=Consulting/Engineering, F=Construction, G=Commerce, I=Hotels/Restaurants, Q=Health. Leave empty for all sectors. ## `departement` (type: `string`): Filter by French department code (2 digits): 75=Paris, 69=Rhône, 13=Bouches-du-Rhône, 31=Haute-Garonne, 33=Gironde, 59=Nord, 06=Alpes-Maritimes. Leave empty for all France. ## `region` (type: `string`): Filter by region code: 11=Île-de-France, 84=Auvergne-Rhône-Alpes, 93=PACA, 32=Hauts-de-France, 44=Grand Est, 75=Nouvelle-Aquitaine, 76=Occitanie. Leave empty for all France. ## `legalForm` (type: `string`): Filter by legal form: sas, sarl, sa, sasu, eurl, ei, sci, snc. Leave empty for all forms. ## `employeeRange` (type: `string`): Filter by employee count: 0, 1-2, 3-5, 6-9, 10-19, 20-49, 50-99, 100-199, 200-249, 250-499, 500+. Leave empty for all sizes. ## `activeOnly` (type: `boolean`): If true, returns only companies with active legal status (recommended). ## `maxItems` (type: `integer`): Maximum number of companies to return (1–1000). ## Actor input object example ```json { "query": "", "nafCode": "", "nafSection": "", "departement": "", "region": "", "legalForm": "", "employeeRange": "", "activeOnly": true, "maxItems": 200 } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("agoradelmediterraneo/france-company-search").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("agoradelmediterraneo/france-company-search").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call agoradelmediterraneo/france-company-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agoradelmediterraneo/france-company-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "France Company Search — INSEE SIRENE Official Registry", "description": "Search 25M French companies from official INSEE SIRENE registry. Filter by NAF sector, department, region, legal form and employee size. Returns SIREN, SIRET, TVA number, address, directors and financials. Source: api.gouv.fr open data (CC0).", "version": "0.1", "x-build-id": "1xzF5Gj692ntu9CYT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agoradelmediterraneo~france-company-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agoradelmediterraneo-france-company-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/agoradelmediterraneo~france-company-search/runs": { "post": { "operationId": "runs-sync-agoradelmediterraneo-france-company-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/agoradelmediterraneo~france-company-search/run-sync": { "post": { "operationId": "run-sync-agoradelmediterraneo-france-company-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "query": { "title": "Text search", "type": "string", "description": "Search by company name, address, or director name. Leave empty to use filters only.", "default": "" }, "nafCode": { "title": "NAF/APE code", "type": "string", "description": "Filter by specific NAF activity code (e.g. '62.01Z' for software, '47.11B' for supermarkets, '41.20A' for construction). Takes precedence over nafSection.", "default": "" }, "nafSection": { "title": "NAF section (broad sector)", "type": "string", "description": "Filter by NAF section letter: J=IT/Telecom, K=Finance, M=Consulting/Engineering, F=Construction, G=Commerce, I=Hotels/Restaurants, Q=Health. Leave empty for all sectors.", "default": "" }, "departement": { "title": "Department code", "type": "string", "description": "Filter by French department code (2 digits): 75=Paris, 69=Rhône, 13=Bouches-du-Rhône, 31=Haute-Garonne, 33=Gironde, 59=Nord, 06=Alpes-Maritimes. Leave empty for all France.", "default": "" }, "region": { "title": "Region code", "type": "string", "description": "Filter by region code: 11=Île-de-France, 84=Auvergne-Rhône-Alpes, 93=PACA, 32=Hauts-de-France, 44=Grand Est, 75=Nouvelle-Aquitaine, 76=Occitanie. Leave empty for all France.", "default": "" }, "legalForm": { "title": "Legal form", "type": "string", "description": "Filter by legal form: sas, sarl, sa, sasu, eurl, ei, sci, snc. Leave empty for all forms.", "default": "" }, "employeeRange": { "title": "Employee range", "type": "string", "description": "Filter by employee count: 0, 1-2, 3-5, 6-9, 10-19, 20-49, 50-99, 100-199, 200-249, 250-499, 500+. Leave empty for all sizes.", "default": "" }, "activeOnly": { "title": "Active companies only", "type": "boolean", "description": "If true, returns only companies with active legal status (recommended).", "default": true }, "maxItems": { "title": "Max results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of companies to return (1–1000).", "default": 200 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```