# BODACC France Scraper - SIREN, Creations, M\&A, Insolvency (`dltik/bodacc-fr-scraper`) Actor Bulk-export BODACC France announcements (creations, M\&A, insolvency, modifications, radiations) with SIREN, capital, dirigeants, RCS. No API key, no proxy, HTTP-only. - **URL**: https://apify.com/dltik/bodacc-fr-scraper.md - **Developed by:** [Walid](https://apify.com/dltik) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start 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 ## BODACC France Scraper — Bulk Export of French Court Announcements **BODACC France Scraper** extracts announcements from the **Bulletin Officiel des Annonces Civiles et Commerciales** — the official French commercial court bulletin covering every business creation, M&A, insolvency, modification, and radiation in France since 2008. 6M+ records, no API key, no proxy, no rate-limit drama. > **No login. No API token. No proxy.** Pick a department, pick a date range, pick a family (creations / M&A / insolvency / etc.) — get a clean structured export with SIREN, capital, dirigeants, RCS, tribunal, address, PDF link. > ⭐ **Found this useful?** Click the **Bookmark** button at the top of [this page](https://apify.com/dltik/bodacc-fr-scraper) — Apify ranks actors by bookmarks, so it's the strongest single signal that keeps this scraper visible to others. Takes 1 click. --- ### What can BODACC France Scraper do? - 🏢 **Lead-gen on fresh French businesses** — every new SAS/SARL/EURL with capital amount, dirigeants, address, the day it's registered - 💰 **M&A intelligence** — every "vente et cession" (sale, fonds de commerce transfer) with seller, buyer, price clauses - ⚠️ **Distress / insolvency tracking** — every "procédure collective" (redressement, liquidation, sauvegarde) with tribunal + jugement - 📝 **Modifications tracking** — directors changes, capital changes, headquarters relocations - ❌ **Radiations** — closures and end-of-business records - 📂 **Financial filings** — "dépôts des comptes" — companies that just filed their annual accounts - 🌍 **Filter by department, date, family, SIREN, or free-text** — combine any of them - ⚡ **HTTP-only, no proxy needed** — fully free official open-data API, runs at 99% margin --- ### What data can you extract from BODACC? | Field | Description | |-------|-------------| | `bodacc_id` | Official BODACC announcement ID (e.g. `A2026010447`) | | `date_parution` | Publication date (YYYY-MM-DD) | | `famille_avis` | Family (Créations / Ventes / Procédures collectives / Radiations…) | | `type_avis` | Avis initial / modificatif / rectificatif | | `commercant` | Trade name / company name as printed | | `siren` | Parsed 9-digit SIREN (from registre or listepersonnes) | | `denomination` | Legal denomination (from nested listepersonnes JSON) | | `forme_juridique` | SAS / SARL / EURL / SCI / SA / etc. | | `capital_eur` | Share capital amount in EUR (parsed from nested JSON) | | `dirigeants` | Array of directors / managers with name, surname, role | | `adresse_siege` | Full registered-office address (flattened) | | `ville` | City | | `code_postal` | Postal code | | `departement_code` | 2-digit department code | | `departement_nom` | Department name | | `region_nom` | Region name | | `tribunal` | Tribunal de commerce (Greffe) handling the filing | | `registre_rcs` | RCS registration number | | `acte_descriptif` | Acte category (Immatriculation, Vente, …) | | `jugement` | Jugement object (for procédures collectives) | | `modifications_generales` | Parsed modifications (capital, sieges, dirigeants) | | `radiation` | Radiation date + motif | | `url_bodacc` | Direct link to the published announcement on bodacc.fr | | `pdf_url` | Link to the official PDF version | --- ### How to scrape BODACC France 1. **[Create a free Apify account](https://apify.com/sign-up)** — no credit card required to test 2. **Open [BODACC France Scraper](https://apify.com/dltik/bodacc-fr-scraper)** in Apify Store 3. **Choose a family** — `creations` (lead gen) / `ventes` (M&A) / `collective` (distress) / etc. 4. **Add filters** — department code (`75` for Paris), date range, free-text search, SIREN 5. **Click Start** — records appear in seconds; download JSON, CSV, or Excel > Tip: BODACC publishes T+1 to T+3 days vs the actual filing date. Today's announcements may be partial — query with a 3-day lookback for full coverage. --- ### How much does it cost to scrape BODACC? **$0.003 per record extracted** ($3 per 1,000 records). No actor-start fee — pure per-record pricing. Up to 70% cheaper than comparable BODACC scrapers on Apify Store. | Run size | Records | Apify cost | Time | |----------|---------|------------|------| | Quick test | 100 | $0.30 | ~3s | | Standard pull | 1,000 | $3 | ~15s | | Deep pull | 5,000 | $15 | ~1min | | Massive pull | 10,000 (API cap per query) | $30 | ~2min | > Need more than 10K records? Chunk by `dateFrom` / `dateTo` windows — OpenDataSoft caps offset at 10,000 per query. --- ### Input parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `familleAvis` | enum | ❌ | `creations` | `creations`, `ventes`, `collective`, `modifications`, `radiations`, `depots`, `all` | | `departement` | string | ❌ | — | Department code(s), comma-separated (e.g. `75` or `75,92,93`) | | `dateFrom` | string | ❌ | `today - 7d` | YYYY-MM-DD start date (inclusive) | | `dateTo` | string | ❌ | — | YYYY-MM-DD end date (inclusive) | | `searchQuery` | string | ❌ | — | Free-text search across announcement content (company name) | | `siren` | string | ❌ | — | 9-digit SIREN to get full history for one company | | `maxResults` | integer | ❌ | `100` | Max records (capped at 10,000 per OpenDataSoft query) | > If you provide no `dateFrom`, no `siren` and no `searchQuery`, the actor defaults to a 7-day lookback window to keep queries under the 10K offset ceiling. --- ### Output example ```json { "bodacc_id": "A2026010447", "date_parution": "2026-06-04", "famille_avis": "Creations", "type_avis": "Avis initial", "commercant": "INDIENNE CUISINE", "siren": "105688170", "denomination": "INDIENNE CUISINE", "forme_juridique": "SAS", "capital_eur": 1000.0, "dirigeants": [ {"nom": "DUPONT", "prenom": "Jean", "role": "Président"} ], "adresse_siege": "12 RUE DE LA PAIX 05000 Gap", "ville": "Gap", "code_postal": "05000", "departement_code": "05", "departement_nom": "Hautes-Alpes", "region_nom": "Provence-Alpes-Côte d'Azur", "tribunal": "Greffe du Tribunal de Commerce de Gap", "registre_rcs": ["105688170", "105 688 170"], "acte_descriptif": "Immatriculation", "url_bodacc": "https://www.bodacc.fr/pages/annonces-commerciales-detail/?q.id=id:A2026010447", "pdf_url": "https://www.bodacc.fr/pages/annonces-commerciales-bodacc/?q=A2026010447" } ```` *** ### Use cases - **B2B lead generation** — pipe every new SAS/SARL in your region into your CRM the day it's registered (`familleAvis: creations`, `departement: 75`) - **M\&A scouting** — track every "fonds de commerce" sale or business transfer in your sector (`familleAvis: ventes`) - **Distress investing / restructuring** — monitor procédures collectives in real time to source acquisition targets (`familleAvis: collective`) - **Compliance / KYC** — pull the full BODACC history of a SIREN for due diligence - **Real-estate intelligence** — radiations + liquidations free up commercial leases (`familleAvis: radiations`) - **Market research** — quantify business births / deaths per department / per quarter - **Journalism / civic tech** — open-data analysis on the French economic fabric *** ### Use BODACC France Scraper via API **Python:** ```python import requests run = requests.post( "https://api.apify.com/v2/acts/dltik~bodacc-fr-scraper/run-sync-get-dataset-items", headers={"Authorization": "Bearer YOUR_APIFY_TOKEN"}, json={ "familleAvis": "creations", "departement": "75", "dateFrom": "2026-05-01", "dateTo": "2026-05-31", "maxResults": 1000 }, timeout=300 ).json() print(f"Fetched {len(run)} BODACC records") ``` **curl:** ```bash curl -X POST "https://api.apify.com/v2/acts/dltik~bodacc-fr-scraper/runs" \ -H "Authorization: Bearer YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"familleAvis": "collective", "departement": "13", "maxResults": 500}' ``` *** ### FAQ **Do I need a BODACC API key or a SIRENE account?** No. BODACC publishes its data through the free OpenDataSoft open-data portal. This actor wraps that API directly — no key, no quota, no signup beyond your Apify account. **Why are today's announcements missing?** BODACC publishes T+1 to T+3 days behind the actual filing or jugement date. Always query with at least a 3-day lookback to get full daily coverage. **Why is `maxResults` capped at 10,000?** OpenDataSoft enforces a hard offset ceiling of 10,000 per query. For larger pulls, slice your job by `dateFrom` / `dateTo` windows (e.g. one month per run) or by department. **What's the difference between this and the official BODACC RSS feed?** The RSS gives raw flat text — no SIREN parsing, no capital, no dirigeants. This actor parses the nested `listepersonnes`, `acte`, `jugement` JSON sub-fields and flattens them into clean top-level columns ready for a CRM, a notebook, or a spreadsheet. **Can I get just one company's BODACC history?** Yes — pass the 9-digit `siren` parameter. You get every announcement ever filed for that SIREN, newest first. **I need help or a custom slice.** Open an issue on the [Issues tab](https://apify.com/dltik/bodacc-fr-scraper/issues) or message the author through Apify. *** ### Connect with Make, Zapier & n8n This actor integrates with any automation platform via the Apify API. #### Make (Integromat) 1. Add an **Apify module** in your Make scenario 2. Choose **Run Actor** → BODACC France Scraper 3. Configure `familleAvis`, `departement`, dates 4. Add **Get Dataset Items** → push into Google Sheets / HubSpot / Pipedrive #### Zapier 1. Use the **Apify integration** on Zapier 2. Trigger: **Actor Run Finished** 3. Action: **Get Dataset Items** → send to your CRM #### n8n 1. **Schedule Trigger** every morning at 9:00 2. **HTTP Request** → POST to the Apify API with `familleAvis: creations` + your department 3. **CRM node** → create leads for every new company *** ⭐ **Found BODACC France Scraper useful? Bookmark it** — Apify ranks actors by bookmarks, so it's the #1 signal that keeps this actor visible. One click directly helps it stay surfaced. ### Other scrapers by dltik | Actor | What it does | Price | |-------|--------------|-------| | [Pappers / SIRENE Scraper](https://apify.com/dltik/pappers-sirene-scraper) | 26M French companies (SIRENE + Pappers enrichment) | $0.50/1K | | [MCP Server BODACC](https://apify.com/dltik/mcp-server-bodacc) | BODACC for AI agents (6 MCP tools, per-call pricing) | $5/1K | | [MCP Server Pappers](https://apify.com/dltik/mcp-server-pappers) | French companies for AI agents (10 tools) | $10/1K | | [SEC EDGAR MCP Server](https://apify.com/dltik/mcp-server-sec-edgar) | 10K US public companies (10-K, 10-Q, 8-K) for AI agents | $10/1K | | [Facebook Ads Library Scraper](https://apify.com/dltik/facebook-ads-scraper) | Spy on Facebook / Instagram competitor ads | $0.75/1K | | [Google Maps Email Extractor](https://apify.com/dltik/google-maps-email-extractor) | Extract emails, phones, WhatsApp from Google Maps | $25/1K | # Actor input Schema ## `familleAvis` (type: `string`): BODACC announcement family preset. 'creations' = new businesses (lead gen), 'ventes' = mergers & acquisitions, 'collective' = insolvency / procedures collectives, 'modifications' = changes (directors, capital, address), 'radiations' = closures, 'depots' = financial filings, 'all' = no family filter (use other filters). ## `departement` (type: `string`): Optional French department code(s) to filter, comma-separated (e.g. '75' for Paris, '13' for Marseille, '75,92,93' for Paris metro). Leave empty for all of France. ## `dateFrom` (type: `string`): Filter announcements published from this date (inclusive). Format YYYY-MM-DD. BODACC publishes T+1 to T+3 days vs filing date. Default: 7 days ago. ## `dateTo` (type: `string`): Filter announcements published up to this date (inclusive). Format YYYY-MM-DD. Leave empty for today. ## `searchQuery` (type: `string`): Optional free-text search across announcement content (commercant / company name). Useful for tracking a specific brand or person. ## `siren` (type: `string`): Optional 9-digit SIREN to filter all announcements for one company. Overrides departement / familleAvis filters. ## `maxResults` (type: `integer`): Maximum number of announcements to extract. OpenDataSoft API caps at 10,000 per query - for bigger pulls, slice by dateFrom/dateTo windows. ## Actor input object example ```json { "familleAvis": "creations", "departement": "75", "maxResults": 100 } ``` # 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 = { "departement": "75" }; // Run the Actor and wait for it to finish const run = await client.actor("dltik/bodacc-fr-scraper").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 = { "departement": "75" } # Run the Actor and wait for it to finish run = client.actor("dltik/bodacc-fr-scraper").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 '{ "departement": "75" }' | apify call dltik/bodacc-fr-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dltik/bodacc-fr-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BODACC France Scraper - SIREN, Creations, M&A, Insolvency", "description": "Bulk-export BODACC France announcements (creations, M&A, insolvency, modifications, radiations) with SIREN, capital, dirigeants, RCS. No API key, no proxy, HTTP-only.", "version": "0.0", "x-build-id": "x76IXApQVYWHQn0uV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dltik~bodacc-fr-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dltik-bodacc-fr-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dltik~bodacc-fr-scraper/runs": { "post": { "operationId": "runs-sync-dltik-bodacc-fr-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dltik~bodacc-fr-scraper/run-sync": { "post": { "operationId": "run-sync-dltik-bodacc-fr-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "familleAvis": { "title": "Announcement family", "enum": [ "creations", "ventes", "collective", "modifications", "radiations", "depots", "all" ], "type": "string", "description": "BODACC announcement family preset. 'creations' = new businesses (lead gen), 'ventes' = mergers & acquisitions, 'collective' = insolvency / procedures collectives, 'modifications' = changes (directors, capital, address), 'radiations' = closures, 'depots' = financial filings, 'all' = no family filter (use other filters).", "default": "creations" }, "departement": { "title": "Department code(s)", "type": "string", "description": "Optional French department code(s) to filter, comma-separated (e.g. '75' for Paris, '13' for Marseille, '75,92,93' for Paris metro). Leave empty for all of France." }, "dateFrom": { "title": "Date from (YYYY-MM-DD)", "type": "string", "description": "Filter announcements published from this date (inclusive). Format YYYY-MM-DD. BODACC publishes T+1 to T+3 days vs filing date. Default: 7 days ago." }, "dateTo": { "title": "Date to (YYYY-MM-DD)", "type": "string", "description": "Filter announcements published up to this date (inclusive). Format YYYY-MM-DD. Leave empty for today." }, "searchQuery": { "title": "Free-text search (company name)", "type": "string", "description": "Optional free-text search across announcement content (commercant / company name). Useful for tracking a specific brand or person." }, "siren": { "title": "SIREN filter", "type": "string", "description": "Optional 9-digit SIREN to filter all announcements for one company. Overrides departement / familleAvis filters." }, "maxResults": { "title": "Max records to extract", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of announcements to extract. OpenDataSoft API caps at 10,000 per query - for bigger pulls, slice by dateFrom/dateTo windows.", "default": 100 } } }, "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 } } } } } } } } } } ```