# French Establishments · All Sites by SIREN (`corent1robert/french-establishments-scraper`) Actor Turn SIRENs into a full list of establishments — every branch, office and site with its SIRET, address, NAF code, headcount band, and status. One row per establishment, export-ready. No API key needed - **URL**: https://apify.com/corent1robert/french-establishments-scraper.md - **Developed by:** [Corentin Robert](https://apify.com/corent1robert) (community) - **Categories:** Developer tools, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $4.99 / 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 ## French Establishments · All Sites by SIREN **Get every branch, office, and site for any French company in minutes.** Paste SIRENs — get a clean dataset with one row per establishment (SIRET): address, NAF activity code, headcount band, open/closed status, and GPS coordinates. **No API key. No login. Public register only.** > **Companion actor:** Need to find SIRENs first? Use the [French Companies Scraper](https://apify.com/corent1robert/recherche-entreprises-scraper) to search by industry, region, or NAF code — then paste the SIRENs here. --- ### What you get | Field | Description | |---|---| | `siren` | Parent company identifier (9 digits) | | `siret` | Establishment identifier (14 digits) | | `nic` | Last 5 digits — unique per establishment | | `nom_complet` | Legal name of the parent company | | `nom_commercial` | Trade name of this specific site | | `est_siege` | `true` if this is the registered headquarters | | `etat_administratif` | `A` = Active, `F` = Closed | | `activite_principale` | NAF/APE code for this site | | `libelle_activite_principale` | Human-readable NAF label | | `adresse` | Full postal address | | `code_postal` | Postal code | | `ville` | City name | | `departement_nom` | Department name | | `region_nom` | Region name | | `latitude` / `longitude` | GPS coordinates | | `date_creation` | Establishment creation date | | `tranche_effectif_salarie` | INSEE headcount band code | | `effectif_salarie` | Human-readable headcount (e.g. "10 à 19 salariés") | | `caractere_employeur` | `O` = employer, `N` = non-employer | --- ### Quick start 1. Open the Actor in the Apify Console. 2. Paste one or more SIRENs (one per line) — find them on [Pappers](https://www.pappers.fr), [annuaire-entreprises.data.gouv.fr](https://annuaire-entreprises.data.gouv.fr), or from the French Companies Scraper. 3. Optionally filter to **active establishments only** (default: on). 4. Click **Start** and download your dataset as CSV or JSON. --- ### Input parameters | Parameter | Type | Default | Description | |---|---|---|---| | `sirens` | array of strings | — | SIREN numbers to enrich (9 digits each; leading zeros are padded automatically) | | `activeOnly` | boolean | `true` | Keep only active establishments (`etat_administratif = A`) | | `includeHeadquarter` | boolean | `true` | Always include the registered headquarters, even if closed | | `maxPerSiren` | integer | `0` (all) | Cap the number of establishments returned per SIREN. Use `5` for a quick test | **API-only:** To disable the `activeOnly` filter via the API, pass `"activeOnly": false` in your JSON input. #### Example JSON input ```json { "sirens": ["552032534", "380129866"], "activeOnly": true, "maxPerSiren": 0 } ```` *** ### How it works 1. For each SIREN, resolve the company name via the official `recherche-entreprises.api.gouv.fr` API. 2. Fetch all matching establishments using the company name and the `limite_matching_etablissements` parameter. 3. Apply active/HQ filters, transform fields, and push to the dataset. *** ### Output sample ```json { "siren": "552032534", "siret": "55203253400703", "nic": "00703", "nom_complet": "DANONE", "est_siege": true, "etat_administratif": "A", "activite_principale": "70.10Z", "libelle_activite_principale": "Activités des sièges sociaux", "adresse": "59 RUE LA FAYETTE 75009 PARIS", "code_postal": "75009", "ville": "PARIS", "departement": "75", "departement_nom": "Paris", "region": "11", "region_nom": "Île-de-France", "latitude": 48.876352, "longitude": 2.343536, "date_creation": "2025-08-19", "tranche_effectif_salarie": "NN", "effectif_salarie": "Non employeur", "caractere_employeur": "O" } ``` *** ### Limitations - **Establishments cap:** The official API returns up to **25 establishments per request**. For companies with more than 25 sites, the actor paginates automatically — but very large groups (500+ sites) may take longer or hit the API's pagination limits. For exhaustive exports of large retail networks, consider the INSEE SIRENE bulk download. - **Diffusibility:** Some establishments marked `[NON-DIFFUSIBLE]` in the register may have masked addresses. The `adresse` field will reflect the raw API value. - **No proxy required:** Data comes from France's official public register — no residential proxy is needed. *** ### Local development ```bash cd french-establishments-scraper npm install ## Edit input.json with your test SIRENs node src/main.js ## Or with the Apify CLI: apify run --input-file=./input.json ``` Tests: ```bash npm test ``` *** ### Related actors - [French Companies Scraper](https://apify.com/corent1robert/recherche-entreprises-scraper) — search companies by keyword, filters, or GPS radius; enrich SIRENs with directors, financials, VAT, and address - [French Legal Announcements Scraper (BODACC)](https://apify.com/corent1robert/bodacc-announcements-scraper) — monitor registrations, insolvencies, and business sales published on the official BODACC register, filtered by date or SIREN *** ### Support Contact for custom scrapers or tailored automation. # Actor input Schema ## `sirens` (type: `array`): One SIREN per line (9 digits). Short numbers are padded automatically; duplicates are skipped. ## `activeOnly` (type: `boolean`): Keep only establishments with status **Active** (etat\_administratif = A). Closed or dormant sites are excluded. ## `includeHeadquarter` (type: `boolean`): Always include the registered headquarters (siège social) even if it is administratively closed. ## `maxPerSiren` (type: `integer`): Cap how many establishments to collect per SIREN. Leave at **0** to collect all. Useful for large groups — set to **25** for a quick preview. ## Actor input object example ```json { "sirens": [ "552032534", "380129866" ], "activeOnly": true, "includeHeadquarter": true, "maxPerSiren": 0 } ``` # Actor output Schema ## `dataset` (type: `string`): One row per establishment — SIRET, address, NAF, headcount, status, coordinates. # 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 = { "sirens": [ "552032534", "380129866" ] }; // Run the Actor and wait for it to finish const run = await client.actor("corent1robert/french-establishments-scraper").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 = { "sirens": [ "552032534", "380129866", ] } # Run the Actor and wait for it to finish run = client.actor("corent1robert/french-establishments-scraper").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 '{ "sirens": [ "552032534", "380129866" ] }' | apify call corent1robert/french-establishments-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=corent1robert/french-establishments-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "French Establishments · All Sites by SIREN", "description": "Turn SIRENs into a full list of establishments — every branch, office and site with its SIRET, address, NAF code, headcount band, and status. One row per establishment, export-ready. No API key needed", "version": "1.0", "x-build-id": "JDjsOL3mMycgwGrC0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/corent1robert~french-establishments-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-corent1robert-french-establishments-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/corent1robert~french-establishments-scraper/runs": { "post": { "operationId": "runs-sync-corent1robert-french-establishments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/corent1robert~french-establishments-scraper/run-sync": { "post": { "operationId": "run-sync-corent1robert-french-establishments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "sirens": { "title": "SIREN numbers", "type": "array", "description": "One SIREN per line (9 digits). Short numbers are padded automatically; duplicates are skipped.", "items": { "type": "string" }, "default": [ "552032534", "380129866" ] }, "activeOnly": { "title": "Active establishments only", "type": "boolean", "description": "Keep only establishments with status **Active** (etat_administratif = A). Closed or dormant sites are excluded.", "default": true }, "includeHeadquarter": { "title": "Always include the headquarters", "type": "boolean", "description": "Always include the registered headquarters (siège social) even if it is administratively closed.", "default": true }, "maxPerSiren": { "title": "Max establishments per SIREN", "minimum": 0, "type": "integer", "description": "Cap how many establishments to collect per SIREN. Leave at **0** to collect all. Useful for large groups — set to **25** for a quick preview.", "default": 0 } } }, "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 } } } } } } } } } } ```