# French Company Intelligence (`innocent_goodness/french-company-intel`) Actor Extract French company data from official government APIs (INSEE, INPI, BODACC). Search by name, SIREN lookup, or batch enrich. Identity, financials, directors, establishments, legal announcements. All free sources. - **URL**: https://apify.com/innocent\_goodness/french-company-intel.md - **Developed by:** [luc guerin](https://apify.com/innocent_goodness) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.005 / result This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Company Intelligence Extract comprehensive French company data from **official government sources** (INSEE, INPI, BODACC). No API keys needed — all data comes from free, authoritative French government APIs. ### What it does Search, lookup, or batch-enrich French companies with: - **Identity**: SIREN, SIRET, legal name, legal form, creation date, status - **Activity**: NAF/APE code, activity description, employee range - **Location**: Full address, postal code, commune, department, region, GPS coordinates - **Financials**: Revenue (chiffre d'affaires), net result, fiscal year - **Directors**: Names, roles, types (person or legal entity) - **Establishments**: All locations with addresses and status - **Legal Announcements**: BODACC — creations, modifications, sales, collective procedures - **Certifications**: Qualiopi, RGE, Bio, FINESS, EGAPRO, Convention Collective ### Search Modes #### 1. Search by Name/Filters Search by company name with optional filters: postal code, department, NAF code, employee range, legal form, active/closed status. #### 2. Single SIREN Lookup Direct lookup by 9-digit SIREN number. Fastest mode for known companies. #### 3. Batch SIREN Lookup Bulk enrichment — paste multiple SIREN numbers (comma, newline, or space separated). Ideal for CRM enrichment workflows. ### Data Sources | Source | Data | Cost | |--------|------|------| | recherche-entreprises.api.gouv.fr | Company identity, financials, directors, establishments | Free | | BODACC (bodacc-datadila.opendatasoft.com) | Legal announcements | Free | All sources are **official French government APIs** — data is authoritative and regularly updated. ### Use Cases - **B2B Lead Generation**: Find companies by sector, location, and size - **CRM Enrichment**: Batch-enrich your company database with SIREN lookups - **Due Diligence**: Full company profile with financials, directors, and legal history - **Compliance**: Verify company status, legal form, certifications - **Market Research**: Analyze companies in a specific sector or region - **M&A Research**: Corporate structure, financials, and legal announcements ### Output Example ```json { "siren": "123456789", "nom_complet": "DATA VALUE CONSULTING", "nature_juridique_libelle": "Entrepreneur individuel", "activite_principale": "62.02A", "activite_principale_libelle": "Conseil en systemes et logiciels informatiques", "chiffre_affaires": 150000, "resultat_net": 45000, "dirigeants": [ { "nom": "GUERIN", "prenom": "Luc", "qualite": "Gerant" } ], "adresse_siege": "49 rue de Ponthieu, 75008 Paris", "bodacc_announcements": [ { "date_parution": "2024-03-15", "type_avis": "Creation", "tribunal": "Paris" } ] } ```` ### Pricing **$0.005 per company** — cheaper than alternatives, powered by free government APIs. ### Built by [Data Value Consulting](https://dvc-analytics.com) — Data & Analytics consultancy specializing in AI agents, data pipelines, and business intelligence. # Actor input Schema ## `mode` (type: `string`): How to search for companies ## `query` (type: `string`): Company name, keywords, or partial name to search for (mode: search) ## `siren` (type: `string`): 9-digit SIREN number for direct lookup (mode: siren\_lookup) ## `sirenList` (type: `string`): List of SIREN numbers for batch lookup (mode: batch\_siren). One per line or comma-separated. ## `filters` (type: `object`): Optional filters for search mode ## `maxResults` (type: `integer`): Maximum number of companies to return (search mode) ## `includeBodacc` (type: `boolean`): Fetch legal announcements (BODACC) for each company. Adds creation, modification, sale, and collective procedure announcements. ## `includeFinancials` (type: `boolean`): Include revenue (CA), net result, and financial history when available. ## `includeDirectors` (type: `boolean`): Include company directors/executives (dirigeants) with roles. ## `includeEstablishments` (type: `boolean`): Include all establishment addresses (sieges + secondary locations). ## Actor input object example ```json { "mode": "search", "query": "Data Value Consulting", "maxResults": 25, "includeBodacc": false, "includeFinancials": true, "includeDirectors": true, "includeEstablishments": false } ``` # 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 = { "mode": "search", "query": "Data Value Consulting" }; // Run the Actor and wait for it to finish const run = await client.actor("innocent_goodness/french-company-intel").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 = { "mode": "search", "query": "Data Value Consulting", } # Run the Actor and wait for it to finish run = client.actor("innocent_goodness/french-company-intel").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 '{ "mode": "search", "query": "Data Value Consulting" }' | apify call innocent_goodness/french-company-intel --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=innocent_goodness/french-company-intel", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "French Company Intelligence", "description": "Extract French company data from official government APIs (INSEE, INPI, BODACC). Search by name, SIREN lookup, or batch enrich. Identity, financials, directors, establishments, legal announcements. All free sources.", "version": "1.0", "x-build-id": "C8qRJgMTIshmkMXUn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/innocent_goodness~french-company-intel/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-innocent_goodness-french-company-intel", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/innocent_goodness~french-company-intel/runs": { "post": { "operationId": "runs-sync-innocent_goodness-french-company-intel", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/innocent_goodness~french-company-intel/run-sync": { "post": { "operationId": "run-sync-innocent_goodness-french-company-intel", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Search Mode", "enum": [ "search", "siren_lookup", "batch_siren" ], "type": "string", "description": "How to search for companies", "default": "search" }, "query": { "title": "Search Query", "type": "string", "description": "Company name, keywords, or partial name to search for (mode: search)" }, "siren": { "title": "SIREN Number", "pattern": "^[0-9]{9}$", "type": "string", "description": "9-digit SIREN number for direct lookup (mode: siren_lookup)" }, "sirenList": { "title": "SIREN List", "type": "string", "description": "List of SIREN numbers for batch lookup (mode: batch_siren). One per line or comma-separated." }, "filters": { "title": "Search Filters", "type": "object", "description": "Optional filters for search mode", "properties": { "code_postal": { "title": "Postal Code", "description": "Filter by postal code (e.g. 75008 for Paris 8th)", "type": "string" }, "departement": { "title": "Department Code", "description": "Filter by department number (e.g. 75 for Paris, 13 for Marseille)", "type": "string" }, "activite_principale": { "title": "NAF/APE Code", "description": "Filter by NAF/APE activity code (e.g. 62.02A for IT consulting)", "type": "string" }, "section_activite_principale": { "title": "Activity Section", "description": "Filter by activity section letter (e.g. M for professional services)", "type": "string" }, "tranche_effectif_salarie": { "title": "Employee Range Code", "description": "Filter by INSEE employee range code (e.g. 11 for 10-19 employees)", "type": "string" }, "nature_juridique": { "title": "Legal Form Code", "description": "Filter by legal form code (e.g. 5710 for SAS, 5599 for SARL)", "type": "string" }, "etat_administratif": { "title": "Administrative Status", "description": "Filter by company status: A (active) or C (closed/ceased)", "type": "string", "enum": [ "A", "C" ], "enumTitles": [ "Active", "Closed" ] } } }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of companies to return (search mode)", "default": 25 }, "includeBodacc": { "title": "Include BODACC", "type": "boolean", "description": "Fetch legal announcements (BODACC) for each company. Adds creation, modification, sale, and collective procedure announcements.", "default": false }, "includeFinancials": { "title": "Include Financials", "type": "boolean", "description": "Include revenue (CA), net result, and financial history when available.", "default": true }, "includeDirectors": { "title": "Include Directors", "type": "boolean", "description": "Include company directors/executives (dirigeants) with roles.", "default": true }, "includeEstablishments": { "title": "Include Establishments", "type": "boolean", "description": "Include all establishment addresses (sieges + secondary locations).", "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 } } } } } } } } } } ```