# RNA Associations France Scraper: 1.5M+ French Nonprofits (`dltik/rna-associations-fr`) Actor Search the French RNA (Repertoire National des Associations): 1.5M+ nonprofits loi 1901. Get RNA id, SIREN, name, address, department, region, creation date, status, legal category, dirigeants. Filter by name, theme, department. For lead gen, CRM, grant tools. $5/1K. - **URL**: https://apify.com/dltik/rna-associations-fr.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 $5.00 / 1,000 association scrapeds 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 ## RNA Associations France Scraper - 1.5M+ French Nonprofits Search the **French RNA (Repertoire National des Associations)** - every declared association loi 1901 in France (~1.5M+ active nonprofits). Get the **RNA id (W + 9 digits)**, SIREN, legal name, head-office address, department, region, creation date, status, legal category and dirigeants. The cheapest way to build or enrich a French nonprofit database. **HTTP-only, 256MB. $5 per 1,000 associations. Pay only what you use.** Built for fundraising / grant tools, nonprofit CRMs, agencies targeting the associative sector, and data journalists. > Found this useful? Click the **Bookmark** button at the top of [this page](https://apify.com/dltik/rna-associations-fr) - it helps the scraper stay visible to others who need it. Takes 1 click. No signup beyond your existing Apify account. --- ### Why this actor Almost every French registry scraper targets **companies** (SIREN/SIRET). Associations are underserved - yet there are 1.5M+ of them and they are prime B2B targets for fundraising platforms, grant-management software, insurers and agencies. | Feature | This actor | annuaire-entreprises.data.gouv.fr | data.gouv.fr RNA dump | |---|---|---|---| | 1.5M+ French associations | Yes | Yes | Yes | | Search by name / theme / department / region | Yes | Manual, one by one | No (raw dump) | | RNA id (W-number) on every row | Yes | Yes | Yes | | Clean flat JSON ready for CRM | Yes | No | No (multi-GB CSV) | | Pay-as-you-go API | Yes | n/a | n/a | This actor wraps **`recherche-entreprises.api.gouv.fr`** (the official Etalab open API, daily-updated from INSEE Sirene + RNA), scopes it to associations, and normalizes each record into a flat row. --- ### Quick start #### All associations in Paris ```json { "department": "75", "activeOnly": true, "maxResults": 500 } ```` #### Sports associations in Rhone ```json { "theme": "sport", "department": "69", "maxResults": 1000 } ``` #### Search a specific association by name ```json { "query": "restos du coeur", "maxResults": 50 } ``` #### Humanitarian associations in Ile-de-France ```json { "query": "humanitaire", "region": "11", "activeOnly": true, "maxResults": 2000 } ``` *** ### Input | Parameter | Type | Description | |---|---|---| | `query` | string | Free text - name, address, dirigeant | | `theme` | string | Extra keyword to narrow (sport, culture, humanitaire...). Best-effort on the name | | `department` | string | 2-digit department code (`75`, `69`, `13`...) | | `region` | string | 2-digit INSEE region code (`11` = Ile-de-France) | | `code_postal` | string | 5-digit postal code | | `code_commune` | string | INSEE commune code | | `activeOnly` | bool | Only active associations (exclude dissolved) | | `maxResults` | int | Max rows (API caps a single query at ~10,000). Aliases: `limit`, `max` | At least one of `query`, `theme`, `department`, `region`, `code_postal` is required. *** ### Output (per association) ```json { "type": "association", "rna_id": "W751004076", "siren": "775672272", "siret_siege": "77567227200016", "name": "CROIX ROUGE FRANCAISE", "nom_raison_sociale": "CROIX ROUGE FRANCAISE", "sigle": "CRF", "status": "active", "etat_administratif": "A", "is_active": true, "date_creation": "1945-08-07", "last_update": "2026-04-27T09:45:43", "last_update_insee": "2025-12-05T19:15:33", "nature_juridique": "9230", "nature_juridique_label": "Association declaree reconnue d'utilite publique", "activite_principale": "88.99B", "section_activite_principale": "Q", "is_ess": true, "is_public_utility": true, "is_organisme_formation": false, "caractere_employeur": "O", "tranche_effectif_salarie": "53", "nombre_etablissements": 1200, "nombre_etablissements_ouverts": 1100, "address": "98 RUE DIDOT 75014 PARIS", "code_postal": "75014", "commune": "PARIS", "departement": "75", "region": "11", "latitude": "48.829", "longitude": "2.317", "dirigeants": [ { "type": "personne_physique", "nom": "DOE", "prenoms": "JANE", "qualite": "President" } ], "source_url": "https://annuaire-entreprises.data.gouv.fr/entreprise/775672272", "scraped_at": "2026-05-19T20:00:00Z" } ``` *** ### Pricing **$0.005 per association** = **$5 per 1,000 associations**. | Scenario | Associations | Cost | |---|---|---| | All associations in one department (~30K) | 30,000 | $150 | | All sports associations in a region (~8K) | 8,000 | $40 | | Targeted name search | 50 | $0.25 | You pay only for the rows you actually pull. *** ### Use cases - **Fundraising / grant tools** - build a prospect base of eligible nonprofits by region or theme - **Nonprofit CRM enrichment** - resolve a name to its RNA id + SIREN + address - **Agencies** - target the associative sector by department for outreach - **Insurers / banks** - verify an association before onboarding (status, legal category, public-utility flag) - **Data journalism** - map the nonprofit landscape of a city or region *** ### Technical details - **Source**: `recherche-entreprises.api.gouv.fr` - official Etalab open API, no key, daily-updated from INSEE Sirene + RNA - **Scope**: associations only (`est_association`), RNA id exposed as `rna_id` - **Rate limit**: 7 req/sec, handled automatically with backoff - **Pagination cap**: the API limits a single query to ~10,000 results - split by department or postal code for larger sweeps - **objet social**: the RNA free-text "objet" (purpose) is **not** exposed by the open API (the legacy `entreprise.data.gouv.fr/api/rna` that served it was sunset). This actor surfaces the closest available signals instead: legal category (`nature_juridique_label`) + NAF activity (`activite_principale`) - **Alsace-Moselle**: associations under the local law (Bas-Rhin, Haut-Rhin, Moselle) are covered when registered in Sirene; some have no RNA id by design *** Found this RNA Associations France Scraper useful? **Bookmark it** - Apify ranks actors by bookmarks, so it is the strongest single signal for Store visibility. One click directly helps this scraper stay surfaced for new users. ### Other scrapers by dltik | Actor | Description | Price | |---|---|---| | [Pappers / Sirene Scraper](https://apify.com/dltik/pappers-sirene-scraper) | 26M French companies (SIREN/SIRET) | $5/1K | | [Pappers MCP Server](https://apify.com/dltik/mcp-server-pappers) | French company data for AI agents | $10/1K calls | | [BODACC MCP Server](https://apify.com/dltik/mcp-server-bodacc) | French court announcements | $10/1K calls | | [Data Gouv MCP Server](https://apify.com/dltik/mcp-server-data-gouv) | French open gov data for AI agents | $10/1K calls | # Actor input Schema ## `query` (type: `string`): Free text matched against the association name, address and dirigeants. Example: 'restos du coeur', 'club de football', 'protection animale'. ## `theme` (type: `string`): Extra keyword to narrow the search (e.g. 'sport', 'culture', 'humanitaire', 'environnement'). Best-effort: it is matched on the name, not on the RNA objet social (the open API does not expose the objet text). ## `department` (type: `string`): Two-digit French department code (e.g. '75' for Paris, '69' for Rhone, '13' for Bouches-du-Rhone, '2A' for Corse-du-Sud). ## `region` (type: `string`): Two-digit INSEE region code (e.g. '11' for Ile-de-France, '84' for Auvergne-Rhone-Alpes, '93' for PACA). ## `code_postal` (type: `string`): 5-digit postal code of the association head office (e.g. '75009', '69002'). ## `code_commune` (type: `string`): INSEE city code (differs from the postal code). E.g. '75109' for Paris 9th arrondissement. ## `activeOnly` (type: `boolean`): If true, return only associations whose administrative status is active (excludes dissolved / ceased). ## `maxResults` (type: `integer`): Maximum number of associations to return. The API caps a single query at ~10,000 results; split by department or postal code for larger sweeps. Aliases: 'limit' and 'max' (limit takes priority). ## Actor input object example ```json { "activeOnly": false, "maxResults": 50 } ``` # Actor output Schema ## `results` (type: `string`): RNA association records. # 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/rna-associations-fr").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/rna-associations-fr").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/rna-associations-fr --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dltik/rna-associations-fr", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "RNA Associations France Scraper: 1.5M+ French Nonprofits", "description": "Search the French RNA (Repertoire National des Associations): 1.5M+ nonprofits loi 1901. Get RNA id, SIREN, name, address, department, region, creation date, status, legal category, dirigeants. Filter by name, theme, department. For lead gen, CRM, grant tools. $5/1K.", "version": "1.0", "x-build-id": "ZiaLoZCefeLRJ7ZpC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dltik~rna-associations-fr/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dltik-rna-associations-fr", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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~rna-associations-fr/runs": { "post": { "operationId": "runs-sync-dltik-rna-associations-fr", "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~rna-associations-fr/run-sync": { "post": { "operationId": "run-sync-dltik-rna-associations-fr", "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": { "query": { "title": "Name / keyword", "type": "string", "description": "Free text matched against the association name, address and dirigeants. Example: 'restos du coeur', 'club de football', 'protection animale'." }, "theme": { "title": "Theme keyword", "type": "string", "description": "Extra keyword to narrow the search (e.g. 'sport', 'culture', 'humanitaire', 'environnement'). Best-effort: it is matched on the name, not on the RNA objet social (the open API does not expose the objet text)." }, "department": { "title": "Department code", "type": "string", "description": "Two-digit French department code (e.g. '75' for Paris, '69' for Rhone, '13' for Bouches-du-Rhone, '2A' for Corse-du-Sud)." }, "region": { "title": "Region code", "type": "string", "description": "Two-digit INSEE region code (e.g. '11' for Ile-de-France, '84' for Auvergne-Rhone-Alpes, '93' for PACA)." }, "code_postal": { "title": "Postal code", "type": "string", "description": "5-digit postal code of the association head office (e.g. '75009', '69002')." }, "code_commune": { "title": "INSEE commune code", "type": "string", "description": "INSEE city code (differs from the postal code). E.g. '75109' for Paris 9th arrondissement." }, "activeOnly": { "title": "Active associations only", "type": "boolean", "description": "If true, return only associations whose administrative status is active (excludes dissolved / ceased).", "default": false }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of associations to return. The API caps a single query at ~10,000 results; split by department or postal code for larger sweeps. Aliases: 'limit' and 'max' (limit takes priority).", "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 } } } } } } } } } } ```