# France INPI Company Scraper — Identity, Management & SIRET (`neuralverge/neuralverge-inpi-company`) Actor Scrape any French company from the INPI/RNE register by SIREN — legal name, SIREN, legal form, registration date, head-office address, share capital, APE code, management/directors and establishments with SIRET. No API key. Structured JSON for KYB. Pay only for matches. - **URL**: https://apify.com/neuralverge/neuralverge-inpi-company.md - **Developed by:** [NeuralVerge](https://apify.com/neuralverge) (community) - **Categories:** Automation, Developer tools, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 INPI Company Scraper — Identity, Management & SIRET ✅ No API Key Scrape any French company from the **INPI / RNE register** (data.inpi.fr) by SIREN — legal name, SIREN, legal form, registration date, head-office address, share capital, APE activity code, management & directors, establishments with SIRET, observations and filed documents. Powered by the Neuralverge API. **No API key or account required**, and **you only pay for companies we actually find**. Ideal for KYC/KYB, due diligence, compliance, lead enrichment and feeding company data to AI agents. ### ✨ Why this Actor - 🇫🇷 **Full INPI/RNE profile** — identity, management, establishments (SIRET), observations and documents in one structured object. - 💸 **Pay only for the companies you get** — unresolved SIRENs are skipped and never billed. Misses are free; no empty, billable rows. - 🔑 **No API key or account** — extraction runs on the Neuralverge backend. - ⚡ **Real-time & structured** — fresh data each run and one predictable JSON schema. ### 🔧 How it works 1. **Provide a 9-digit French SIREN** (e.g. `832601074`) — or an advanced full data.inpi.fr profile URL. 2. **Run the Actor.** Fetching and AI-structuring the profile happens on the Neuralverge backend. 3. **Get one dataset row per company** — the source `url`, the extraction `settings` (including the JSON schema) and the structured `machine` object. Export to CSV, JSON or Excel, or pull it over the Apify API. If the company can't be resolved, it's logged and **skipped without charge**. ### Input One company per run. | Field | Type | Notes | |---|---|---| | `companyNumber` | string | The 9-digit French SIREN, e.g. `832601074`. | | `companyUrl` | string | Advanced: a full data.inpi.fr profile URL to use instead of the SIREN. | ```json { "companyNumber": "832601074" } ```` ### What you'll receive Each dataset row mirrors the Neuralverge system output and has three top-level blocks: - **`url`** — the data.inpi.fr profile URL that was scraped. - **`settings`** — the extraction settings, including the full JSON schema used, at `settings.extract_schema_json`. - **`machine`** — the structured result with these sections: `identity` (siren, denomination\_sociale, forme\_juridique, date\_immatriculation, adresse\_siege\_social, capital\_social, activite\_principale), `management_and_direction`, `establishments` (with SIRET), `observations` and `documents`. > **Nulls & empty sections are normal.** Only data present on the profile is filled — > e.g. director `nationalite`/`adresse` can be `null`, and `documents` may be empty. > Labels and values follow the register and are kept in the original French. #### Example output (real run) A real dataset row from `https://data.inpi.fr/entreprises/832601074`, shown **in full** — including the complete extraction **schema** (`settings.extract_schema_json`) and the full **machine-readable result** (`machine`). The `human` markdown summary is produced by the system but omitted from the dataset. ```json { "url": "https://data.inpi.fr/entreprises/832601074", "settings": { "has_schema": true, "country_code": "us", "extract_schema_json": { "type": "object", "properties": { "identity": { "type": "object", "description": "Core identification details of the company.", "properties": { "siren": { "type": "string", "description": "The 9-digit SIREN number, the unique identifier for the company." }, "denomination_sociale": { "type": "string", "description": "The legal name of the company." }, "forme_juridique": { "type": "string", "description": "The legal form of the company (e.g., SAS, SARL)." }, "date_immatriculation": { "type": "string", "description": "Date of registration in the Trade and Companies Register (RCS)." }, "adresse_siege_social": { "type": "string", "description": "Full address of the company's head office." }, "capital_social": { "type": "string", "description": "The share capital of the company, including currency." }, "activite_principale": { "type": "string", "description": "The main declared activity of the company (APE code and description)." } }, "required": [ "siren", "denomination_sociale" ] }, "management_and_direction": { "type": "array", "description": "List of individuals in management and directional roles.", "items": { "type": "object", "properties": { "nom": { "type": "string", "description": "Last name of the individual." }, "prenoms": { "type": "string", "description": "First name(s) of the individual." }, "role": { "type": "string", "description": "Role or title within the company (e.g., Président, Gérant, Directeur général)." }, "date_de_naissance": { "type": "string", "description": "Date of birth of the individual." }, "nationalite": { "type": "string", "description": "Nationality of the individual." }, "adresse": { "type": "string", "description": "Full address of the individual." } }, "required": [ "nom", "prenoms", "role" ] } }, "establishments": { "type": "array", "description": "List of all company establishments, including the head office and any secondary locations.", "items": { "type": "object", "properties": { "type_etablissement": { "type": "string", "description": "The type of establishment (e.g., Siège social, Etablissement secondaire)." }, "siret": { "type": "string", "description": "The 14-digit SIRET number, the unique identifier for the establishment." }, "adresse": { "type": "string", "description": "The full address of the establishment." }, "activite": { "type": "string", "description": "The activity conducted at this establishment." }, "date_debut_activite": { "type": "string", "description": "The start date of activity for this establishment." } }, "required": [ "type_etablissement", "siret", "adresse" ] } }, "observations": { "type": "array", "description": "A list of observations or special mentions recorded for the company.", "items": { "type": "string", "description": "An individual observation or remark." } }, "documents": { "type": "array", "description": "List of legal documents filed, such as acts or statutes.", "items": { "type": "object", "properties": { "type_document": { "type": "string", "description": "The type of document filed (e.g., Acte, Statuts mis à jour)." }, "nom_document": { "type": "string", "description": "The name or title of the document." }, "date_depot": { "type": "string", "description": "The date the document was filed." }, "numero_depot": { "type": "string", "description": "The filing reference number for the document." } }, "required": [ "type_document", "date_depot" ] } } }, "required": [ "identity" ] } }, "machine": { "identity": { "siren": "832601074", "denomination_sociale": "REVOLUT LTD", "forme_juridique": "Société commerciale étrangère immatriculée au RCS", "date_immatriculation": "12/10/2022", "adresse_siege_social": "30 SOUTH COLONNADE 99000 E14 5HX LONDON ROYAUME-UNI", "capital_social": "5.91 GBP", "activite_principale": "7010Z - Activités des sièges sociaux" }, "management_and_direction": [ { "nom": "Thakur", "prenoms": "SIDDHARTH, NANDAN", "role": "Autre", "date_de_naissance": "06/1991", "nationalite": null, "adresse": null }, { "nom": "Storonskiy", "prenoms": "NIKOLAY", "role": "Autre", "date_de_naissance": "07/1984", "nationalite": null, "adresse": null }, { "nom": "Sherwood", "prenoms": "MICHAEL, SIDNEY", "role": "Autre", "date_de_naissance": "07/1965", "nationalite": null, "adresse": null }, { "nom": "Gilbert", "prenoms": "MARTIN, JAMES", "role": "Autre", "date_de_naissance": "07/1955", "nationalite": null, "adresse": null }, { "nom": "Siewright", "prenoms": "JOHN, PHIMISTER", "role": "Autre", "date_de_naissance": "02/1955", "nationalite": null, "adresse": null }, { "nom": "Yatsenko", "prenoms": "VLADYSLAV", "role": "Autre", "date_de_naissance": "08/1983", "nationalite": null, "adresse": null }, { "nom": "Wilson", "prenoms": "IAN, DOUGLAS", "role": "Autre", "date_de_naissance": "04/1964", "nationalite": null, "adresse": null }, { "nom": "Britton", "prenoms": "CAROLINE, LOUISE", "role": "Autre", "date_de_naissance": "02/1965", "nationalite": null, "adresse": null }, { "nom": "LE TONQUÈZE", "prenoms": "Romain, Pierre, Louis", "role": "Dirigeant en France d’une personne morale étrangère", "date_de_naissance": "09/1995", "nationalite": null, "adresse": "Ploeren" } ], "establishments": [ { "type_etablissement": "Premier établissement en France (d'une société étrangère)", "siret": "83260107400038", "adresse": "10 AVENUE KLEBER 75016 , PARIS - FRANCE", "activite": "6202A - Conseil en systèmes et logiciels informatiques", "date_debut_activite": null }, { "type_etablissement": "Siège", "siret": "83260107400012", "adresse": "30 SOUTH COLONNADE 99000 , E14 5HX LONDON - ROYAUME-UNI", "activite": "7010Z - Activités des sièges sociaux", "date_debut_activite": null }, { "type_etablissement": "Secondaire fermé", "siret": "83260107400020", "adresse": "3 RUE DE STOCKHOLM 75008 , PARIS - FRANCE", "activite": "6202A - Conseil en systèmes et logiciels informatiques", "date_debut_activite": null } ], "observations": [ "LEGISLATION APPLICABLE Royaume-Uni, n° d'immatriculation : 0884411" ], "documents": [] } } ``` > Genuine output from a live run — REVOLUT LTD, with nine management entries and three > establishments (with SIRET) resolved. ### Pricing Pay per result — **$0.005 per company** ($5 per 1,000) returned to the dataset. **You pay only for rows returned — misses are free.** | Event | Price | |---|---| | Actor start | Free | | Company returned (per dataset row) | **$0.005** | SIRENs that can't be resolved are **not billed**. Pricing is on top of your Apify platform usage. ### Integrations & API Results are stored in a standard Apify dataset — export as CSV, JSON, XML or Excel, or fetch on demand through the [Apify API](https://docs.apify.com/api). The Actor also plugs into Apify's integrations (Make, Zapier, n8n, webhooks) and can be called from any [MCP](https://mcp.apify.com/) client. ### FAQ **Do I need an account or API key?** No. Extraction runs on the Neuralverge backend. **What identifier do I use?** The 9-digit French SIREN, e.g. `832601074`. You can also pass a full data.inpi.fr profile URL. **Am I charged if a company isn't found?** No. You're billed only for rows returned to the dataset. *** **Disclaimer:** This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by INPI or the Institut National de la Propriété Industrielle. Data originates from the public data.inpi.fr / RNE register. # Actor input Schema ## `companyNumber` (type: `string`): The 9-digit French SIREN number to look up, e.g. 832601074. ## `companyUrl` (type: `string`): Optional. A full data.inpi.fr company URL to use instead of the SIREN, e.g. https://data.inpi.fr/entreprises/832601074. ## Actor input object example ```json { "companyNumber": "832601074" } ``` # Actor output Schema ## `results` (type: `string`): Structured INPI/RNE company data (identity, management, establishments, observations), one row per matched company. # 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 = { "companyNumber": "832601074" }; // Run the Actor and wait for it to finish const run = await client.actor("neuralverge/neuralverge-inpi-company").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 = { "companyNumber": "832601074" } # Run the Actor and wait for it to finish run = client.actor("neuralverge/neuralverge-inpi-company").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 '{ "companyNumber": "832601074" }' | apify call neuralverge/neuralverge-inpi-company --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=neuralverge/neuralverge-inpi-company", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "France INPI Company Scraper — Identity, Management & SIRET", "description": "Scrape any French company from the INPI/RNE register by SIREN — legal name, SIREN, legal form, registration date, head-office address, share capital, APE code, management/directors and establishments with SIRET. No API key. Structured JSON for KYB. Pay only for matches.", "version": "0.1", "x-build-id": "ASh5oBFC2iebrsNpC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/neuralverge~neuralverge-inpi-company/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-neuralverge-neuralverge-inpi-company", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/neuralverge~neuralverge-inpi-company/runs": { "post": { "operationId": "runs-sync-neuralverge-neuralverge-inpi-company", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/neuralverge~neuralverge-inpi-company/run-sync": { "post": { "operationId": "run-sync-neuralverge-neuralverge-inpi-company", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "companyNumber": { "title": "SIREN", "type": "string", "description": "The 9-digit French SIREN number to look up, e.g. 832601074." }, "companyUrl": { "title": "Company profile URL (advanced)", "type": "string", "description": "Optional. A full data.inpi.fr company URL to use instead of the SIREN, e.g. https://data.inpi.fr/entreprises/832601074." } } }, "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 } } } } } } } } } } ```