# Pappers Enrichment Bundle: Full French Company Profile (`dltik/pappers-enrichment-bundle`) Actor One enriched record per French company combining identity (SIREN, SIRET, name, address, NAF), financials (CA, resultat net), dirigeants (officers), establishments and GPS. Premium one-call upsell over pappers-sirene-scraper. For KYC, B2B prospecting, CRM enrichment. - **URL**: https://apify.com/dltik/pappers-enrichment-bundle.md - **Developed by:** [dltik](https://apify.com/dltik) (community) - **Categories:** Business, Lead generation, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $12.00 / 1,000 company enricheds 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 ## Pappers Enrichment Bundle — Full French Company Profile in One Call Enrich any French company (SIREN/SIRET) with a single billable call: identity, address, NAF, financials, dirigeants (officers), establishments and GPS — all in **one combined record**. Built on the official open-gov API `recherche-entreprises.api.gouv.fr`. **HTTP-only, 256 MB. $12 / 1,000 companies enriched.** This is the **premium one-call upsell** over [`pappers-sirene-scraper`](https://apify.com/dltik/pappers-sirene-scraper). Use it when you need the whole profile in a single API hit instead of stitching together multiple lookups. > Found this useful? Click the **Bookmark** button at the top of [this page](https://apify.com/dltik/pappers-enrichment-bundle) — it helps the actor stay visible to others. Takes 1 click. --- ### Why this actor | Feature | Pappers Enrichment Bundle | pappers-sirene-scraper | Pappers.fr API | Societe.com | |---|---|---|---|---| | Identity (SIREN/SIRET, NAF, address) | Yes | Yes | Yes | Yes | | Financials (CA / resultat net history) | **Yes — full history** | Latest only | Yes (paid) | Yes (paid) | | Dirigeants (officers) array | **Yes — typed** | Yes | Yes (paid) | Yes (paid) | | Establishments (sites) array | **Yes** | No | Yes (paid) | No | | One call = one combined record | **Yes** | No | No | No | | Pay-as-you-go | **Yes — $12/1K** | $8/1K | $19-99 / month | Subscription | One row per company. One charge per row. No subscription. No surprise. --- ### Quick start #### Enrich a list of SIRENs (most common — KYC, CRM enrichment) ```json { "sirens": ["552032534", "552120222", "542065479"], "includeEstablishments": true, "establishmentsLimit": 10, "limit": 100 } ```` You pay only for SIRENs that resolved to a real company (`company-enriched` event). #### Discover + enrich in one run ```json { "query": "boulangerie", "departement": "75", "categorie_entreprise": "PME", "limit": 200 } ``` Returns up to 200 enriched company records — each a full profile. #### Filter SaaS companies (NAF 62.01Z) with 50-99 employees ```json { "activite_principale": "62.01Z", "tranche_effectif_salarie": "21", "limit": 500 } ``` *** ### What you get per company Each record contains, in a single row: - **Identity** — `siren`, `siret_siege`, `nom_complet`, `nom_raison_sociale`, `sigle`, `nom_commercial`, `enseignes`, `nature_juridique`, `categorie_entreprise`, `date_creation`, `date_fermeture`, `etat_administratif`. - **Classification** — `activite_principale` (NAF code), `activite_principale_naf25`, `section_activite_principale`, `caractere_employeur`, `tranche_effectif_salarie`. - **HQ address + GPS** — `siege_address`, `siege_code_postal`, `siege_commune`, `siege_departement`, `siege_region`, `siege_latitude`, `siege_longitude`. - **Financials block** — `ca_latest`, `resultat_net_latest`, `finances_year`, plus `finances_history` (year by year). - **Dirigeants array** — every officer with `type` (personne physique / morale), name, first names, year of birth, qualité, nationality. - **Establishments array** — HQ siege + matching sites with full address, NAF, employees, GPS. - **Compliance flags** — `is_qualiopi`, `is_rge`, `is_bio`, `is_ess`, `is_societe_mission`, `is_finess`, `is_uai`, `is_association`, `egapro_renseignee`, `convention_collective_renseignee`. - **Cross-links** — `url_pappers`, `url_annuaire_entreprises`. #### Limitations to know - Financials are only filed by companies above the publication threshold (typically SA, SAS, SARL above certain revenue). Smaller / individual companies will have empty `finances_history`. - The free gov API exposes the **HQ siege** for every company, plus any **matching establishments** when discovery filters target site-level fields (postal code, NAF). For pure SIREN lookups, only the HQ is included — the actor never fakes data. *** ### Pricing - `company-enriched` — **$0.012** per enriched company (one combined record). - Only counted on successful pushes (an unresolved SIREN costs nothing). Pay-as-you-go. No subscription. No minimum. *** ### See also - [`pappers-sirene-scraper`](https://apify.com/dltik/pappers-sirene-scraper) — identity-only at $8/1K, ideal for high-volume prospecting. - [`mcp-server-data-gouv`](https://apify.com/dltik/mcp-server-data-gouv) — MCP server exposing French open-gov data (DPE, DVF, BAN, INSEE) to AI agents. - [`mcp-server-pappers`](https://apify.com/dltik/mcp-server-pappers) — MCP tool-call interface to the same Sirene API. - [`mcp-server-bodacc`](https://apify.com/dltik/mcp-server-bodacc) — BODACC legal announcements (distress, M\&A, new businesses). *** ### Tech & limits - Source: `recherche-entreprises.api.gouv.fr` (Etalab open API, no auth). - Rate limit: 7 req/sec — handled internally with retries on 429/5xx. - 256 MB memory, HTTP-only, no proxy needed. Built by [`dltik`](https://apify.com/dltik) — French-data actor portfolio. # Actor input Schema ## `sirens` (type: `array`): List of SIREN (9 digits) or SIRET (14 digits, will be truncated to SIREN). When provided, each entry is enriched and counted as one billable enrichment. ## `query` (type: `string`): Free text used to discover companies if no sirens list is provided. Searches name, address, dirigeant. Example: 'boulangerie Lyon', 'Anthropic'. ## `departement` (type: `string`): Two-digit French department code (e.g. '75' for Paris, '69' for Rhône, '13' for Bouches-du-Rhône). Combine with query for narrower discovery. ## `code_postal` (type: `string`): 5-digit postal code (e.g. '75009', '69002') for discovery mode. ## `activite_principale` (type: `string`): NAF/APE activity code for discovery mode (e.g. '62.01Z' for software, '56.10A' for restaurants). ## `section_activite_principale` (type: `string`): Single-letter NAF section for discovery mode (A=agriculture, C=manufacturing, F=construction, G=trade, J=info/comm, K=finance, M=consulting, Q=health). ## `categorie_entreprise` (type: `string`): Discovery filter: PME (small/medium), ETI (intermediate), GE (large enterprise). ## `tranche_effectif_salarie` (type: `string`): INSEE employee bracket code for discovery (e.g. '11'=10-19, '21'=50-99, '31'=200-249, '41'=500-999). ## `etat_administratif` (type: `string`): A = Active company, C = Ceased. Defaults to active companies only. ## `ca_min` (type: `integer`): Discovery filter: minimum CA (chiffre d'affaires) in euros. Only matches companies that filed accounts. ## `ca_max` (type: `integer`): Discovery filter: maximum CA in euros. ## `includeEstablishments` (type: `boolean`): When true, request up to N matching establishments from the gov API and include them in each enriched record. Only populated when a discovery query matches specific sites (siege HQ is always included). ## `establishmentsLimit` (type: `integer`): Hard cap on the number of matching establishments included per company when discovery filters match site fields. ## `limit` (type: `integer`): Maximum number of companies enriched in one run. Counts as one billable company-enriched event per row. ## Actor input object example ```json { "sirens": [], "etat_administratif": "A", "includeEstablishments": true, "establishmentsLimit": 10, "limit": 50 } ``` # 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("dltik/pappers-enrichment-bundle").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("dltik/pappers-enrichment-bundle").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 dltik/pappers-enrichment-bundle --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dltik/pappers-enrichment-bundle", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Pappers Enrichment Bundle: Full French Company Profile", "description": "One enriched record per French company combining identity (SIREN, SIRET, name, address, NAF), financials (CA, resultat net), dirigeants (officers), establishments and GPS. Premium one-call upsell over pappers-sirene-scraper. For KYC, B2B prospecting, CRM enrichment.", "version": "1.0", "x-build-id": "wQ0cBLI50n5Rtuidb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dltik~pappers-enrichment-bundle/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dltik-pappers-enrichment-bundle", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dltik~pappers-enrichment-bundle/runs": { "post": { "operationId": "runs-sync-dltik-pappers-enrichment-bundle", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dltik~pappers-enrichment-bundle/run-sync": { "post": { "operationId": "run-sync-dltik-pappers-enrichment-bundle", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 / SIRET batch list", "type": "array", "description": "List of SIREN (9 digits) or SIRET (14 digits, will be truncated to SIREN). When provided, each entry is enriched and counted as one billable enrichment.", "items": { "type": "string" }, "default": [] }, "query": { "title": "Text query (alternative to sirens)", "type": "string", "description": "Free text used to discover companies if no sirens list is provided. Searches name, address, dirigeant. Example: 'boulangerie Lyon', 'Anthropic'." }, "departement": { "title": "Department code", "type": "string", "description": "Two-digit French department code (e.g. '75' for Paris, '69' for Rhône, '13' for Bouches-du-Rhône). Combine with query for narrower discovery." }, "code_postal": { "title": "Postal code", "type": "string", "description": "5-digit postal code (e.g. '75009', '69002') for discovery mode." }, "activite_principale": { "title": "NAF code", "type": "string", "description": "NAF/APE activity code for discovery mode (e.g. '62.01Z' for software, '56.10A' for restaurants)." }, "section_activite_principale": { "title": "NAF section", "type": "string", "description": "Single-letter NAF section for discovery mode (A=agriculture, C=manufacturing, F=construction, G=trade, J=info/comm, K=finance, M=consulting, Q=health)." }, "categorie_entreprise": { "title": "Company size category", "enum": [ "PME", "ETI", "GE" ], "type": "string", "description": "Discovery filter: PME (small/medium), ETI (intermediate), GE (large enterprise)." }, "tranche_effectif_salarie": { "title": "Employee bracket", "type": "string", "description": "INSEE employee bracket code for discovery (e.g. '11'=10-19, '21'=50-99, '31'=200-249, '41'=500-999)." }, "etat_administratif": { "title": "Administrative status", "enum": [ "A", "C" ], "type": "string", "description": "A = Active company, C = Ceased. Defaults to active companies only.", "default": "A" }, "ca_min": { "title": "Revenue minimum (EUR)", "minimum": 0, "type": "integer", "description": "Discovery filter: minimum CA (chiffre d'affaires) in euros. Only matches companies that filed accounts." }, "ca_max": { "title": "Revenue maximum (EUR)", "minimum": 0, "type": "integer", "description": "Discovery filter: maximum CA in euros." }, "includeEstablishments": { "title": "Include establishments array", "type": "boolean", "description": "When true, request up to N matching establishments from the gov API and include them in each enriched record. Only populated when a discovery query matches specific sites (siege HQ is always included).", "default": true }, "establishmentsLimit": { "title": "Establishments per company (max)", "minimum": 1, "maximum": 100, "type": "integer", "description": "Hard cap on the number of matching establishments included per company when discovery filters match site fields.", "default": 10 }, "limit": { "title": "Max companies to enrich", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of companies enriched in one run. Counts as one billable company-enriched event per row.", "default": 50 } } }, "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 } } } } } } } } } } ```