# France New Company Registrations (`leadsbrary/french-companies-search`) Actor Get freshly registered French companies with address, directors, SIREN, legal form, NAF activity code & employee size. Perfect for B2B lead generation, sales prospecting & market research. Filter by date. Up to 1,000 results per run. - **URL**: https://apify.com/leadsbrary/french-companies-search.md - **Developed by:** [Alexandre Manguis](https://apify.com/leadsbrary) (community) - **Categories:** Lead generation, News, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.80 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 New Company Registrations — B2B Leads, Directors & Business Data Get the freshest company registrations in France. Each run delivers a clean, structured dataset of newly incorporated businesses — including company name, registration number, legal form, NAF activity code, address, and optionally company leaders and workforce data. No setup needed. Just run and get results. --- ### What can you do with this actor? - Browse the **latest companies registered in France** (past days, weeks or months) - Filter by **registration date range** - Optionally include **company leaders** (directors, managers) - Optionally include **employee size** data - Use results directly for **B2B prospecting**, **market research**, or **competitive intelligence** --- ### How to use it #### 1. Set the number of companies Use **Number of companies** to control how many results you want (default: 10, max: 1000). #### 2. Filter by registration date (optional) Set **Created from** and/or **Created to** to restrict results to a specific time window. Leave both empty to get the most recently registered companies. #### 3. Choose enrichment options | Option | Default | What it adds | |---|---|---| | **Include company leaders** | ✅ On | Director names, roles, and appointment dates | | **Include employee data** | ✅ On | Employee size range (e.g. 1-2, 10-19, 50-99) | | **Include raw data** | ❌ Off | Raw source data for advanced use | --- ### Output Each company is saved as one item in the dataset: ```json { "siren": "123456789", "siret": "12345678900012", "companyName": "ACME FRANCE SAS", "legalForm": "SAS", "registrationDate": "2026-04-15", "activityCode": "6201Z", "activityLabel": "Computer programming activities", "status": "Active", "address": { "street": "12 RUE DE LA PAIX", "city": "PARIS", "postCode": "75001", "department": "75", "region": "Île-de-France", "country": "France" }, "employeeRange": "1-2", "leaders": [ { "name": "Jean Dupont", "role": "Président", "since": "2026-04-15" } ], "establishments": 1, "website": null } ```` *** ### Examples #### Get the 10 latest companies ```json { "maxResults": 10 } ``` #### Companies registered in April 2026 ```json { "maxResults": 50, "createdFrom": "2026-04-01", "createdTo": "2026-04-30", "includeCompanyLeaders": true, "includeEmployeeData": true } ``` #### Fast bulk export — no enrichment ```json { "maxResults": 500, "includeCompanyLeaders": false, "includeEmployeeData": false } ``` *** ### Common use cases - **Lead generation** — Find brand-new companies before your competitors do - **Market research** — Track new business creation by industry or region - **Sales prospecting** — Identify decision makers via leader information - **Competitive intelligence** — Monitor new entrants in your sector - **Legal & compliance** — Detect company creations and registrations over time *** ### Data freshness Results reflect the most recent company registrations available. Use the **Created from / Created to** filters to target a specific registration period. *** ### Keywords French companies, France company registry, new company registrations France, French startups, SIREN SIRET, entreprises françaises, nouvelles entreprises, création d'entreprise, lead generation France, B2B France, French business data, company directors France, legal form France, SAS SARL EI, French market research, NAF code, APE code, French company search, business intelligence France # Actor input Schema ## `maxResults` (type: `integer`): How many recently registered companies to retrieve. ## `createdFrom` (type: `string`): Only include companies registered on or after this date. Format: YYYY-MM-DD. Leave empty to get the most recent registrations. ## `createdTo` (type: `string`): Only include companies registered on or before this date. Format: YYYY-MM-DD. Defaults to today. ## `includeCompanyLeaders` (type: `boolean`): Include company leaders (directors, managers) when available. ## `includeEmployeeData` (type: `boolean`): Include employee size range when available. ## `includeRawData` (type: `boolean`): Advanced option: attach the full raw data to each result for custom processing. ## Actor input object example ```json { "maxResults": 10, "createdFrom": "2026-01-01", "createdTo": "2026-05-01", "includeCompanyLeaders": true, "includeEmployeeData": true, "includeRawData": false } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing all French company records (SIREN, name, legal form, registration date, address, leaders, activity…). # 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 = { "maxResults": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("leadsbrary/french-companies-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 = { "maxResults": 10 } # Run the Actor and wait for it to finish run = client.actor("leadsbrary/french-companies-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 '{ "maxResults": 10 }' | apify call leadsbrary/french-companies-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=leadsbrary/french-companies-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "France New Company Registrations", "description": "Get freshly registered French companies with address, directors, SIREN, legal form, NAF activity code & employee size. Perfect for B2B lead generation, sales prospecting & market research. Filter by date. Up to 1,000 results per run.", "version": "1.0", "x-build-id": "EjADfXy5imjApVZig" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/leadsbrary~french-companies-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-leadsbrary-french-companies-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/leadsbrary~french-companies-search/runs": { "post": { "operationId": "runs-sync-leadsbrary-french-companies-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/leadsbrary~french-companies-search/run-sync": { "post": { "operationId": "run-sync-leadsbrary-french-companies-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxResults": { "title": "Number of companies", "minimum": 1, "maximum": 1000, "type": "integer", "description": "How many recently registered companies to retrieve.", "default": 10 }, "createdFrom": { "title": "Created from (optional)", "type": "string", "description": "Only include companies registered on or after this date. Format: YYYY-MM-DD. Leave empty to get the most recent registrations." }, "createdTo": { "title": "Created to (optional)", "type": "string", "description": "Only include companies registered on or before this date. Format: YYYY-MM-DD. Defaults to today." }, "includeCompanyLeaders": { "title": "Include company leaders", "type": "boolean", "description": "Include company leaders (directors, managers) when available.", "default": true }, "includeEmployeeData": { "title": "Include employee data", "type": "boolean", "description": "Include employee size range when available.", "default": true }, "includeRawData": { "title": "Include raw data", "type": "boolean", "description": "Advanced option: attach the full raw data to each result for custom processing.", "default": false } } }, "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 } } } } } } } } } } ```