# BOAMP France Marchés Publics API (`aspiring_barricade/boamp-france-marches-publics-api`) Actor Recherche des marchés publics français via l'open data officiel BOAMP (DILA). Scoring de pertinence, déduplication et mode alerte nouveautés. JSON propre. - **URL**: https://apify.com/aspiring\_barricade/boamp-france-marches-publics-api.md - **Developed by:** [Joachim Pouchain](https://apify.com/aspiring_barricade) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results 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 ## BOAMP France Marchés Publics API — French Public Tenders Scraper Recherchez les **marchés publics français** via l'open data officiel **BOAMP** (Bulletin officiel des annonces des marchés publics, DILA) et obtenez un jeu de données plat et propre, avec un **score de pertinence** intégré, une **déduplication** automatique et un **mode alerte nouveautés** pour la veille programmée. Ce scraper BOAMP transforme le flux officiel des appels d'offres français en JSON, CSV ou Excel prêts à l'emploi pour la prospection B2G, la veille concurrentielle, la conformité et les pipelines IA/RAG. > English summary: search **French public tenders** from the official BOAMP open data API. Keyword **relevance scoring**, **deduplication** and **new-only alerts**, exported as clean JSON/CSV/Excel. Contrairement à un export brut, chaque avis est **noté de 0 à 100** selon vos mots-clés et **dédupliqué**, pour faire remonter d'abord les opportunités les plus pertinentes. ### Pourquoi cet actor / Why this actor - **Source officielle, sans scraping risqué.** Les données proviennent de l'API open data BOAMP de la DILA — aucun proxy résidentiel, aucun contournement anti-bot. - **Score de pertinence (0–100).** Vos mots-clés sont pondérés sur l'objet et les descripteurs. Triez ou filtrez par `relevance_score`. La plupart des concurrents renvoient un export non classé. - **Déduplication.** Les avis republiés sont regroupés via une clé stable (`notice_id` + acheteur + date). - **Mode alerte nouveautés.** En run programmé, ne renvoyez *que* les avis jamais vus — idéal pour une veille quotidienne/hebdomadaire sans retraiter les mêmes lignes. - **Schéma plat stable.** Mêmes noms de champs que nos actors TED et Awards : votre pipeline ne casse jamais. ### Entrée / Input | Champ | Type | Description | |-------|------|-------------| | `mots_cles` | array | Termes recherchés en plein texte (objet, acheteur…), combinés en OU. **Requis.** | | `departement` | array | Codes département (ex : `75`, `69`, `13`). | | `type_marche` | array | `Travaux`, `Fournitures`, `Services`. | | `only_awards` | boolean | Ne renvoyer que les avis d'attribution (marchés déjà gagnés). | | `date_from` / `date_to` | string | `AAAA-MM-JJ`. `date_from` vide = 30 derniers jours. | | `min_relevance_score` | integer | Ignore les résultats sous ce seuil 0–100. | | `alert_new_only` | boolean | Ne renvoyer que les avis nouveaux depuis le dernier run. | | `alert_key` | string | Espace de nommage pour des veilles distinctes. | | `max_items` | integer | Nombre maximum d'avis à renvoyer. | #### Exemple d'entrée ```json { "mots_cles": ["informatique", "logiciel"], "departement": ["75", "92"], "type_marche": ["Services"], "min_relevance_score": 25, "alert_new_only": false, "max_items": 100 } ```` ### Sortie / Output Chaque élément du dataset est un enregistrement plat et stable : ```json { "source": "BOAMP", "notice_id": "26-63506", "title": "CMS DESIGNSYSTEM", "buyer_name": "AUVERGNE RHONE ALPES TOURISME", "buyer_country": "FRA", "cpv_codes": ["Logiciel", "186"], "description": "CMS DESIGNSYSTEM", "value_amount": null, "value_currency": null, "publication_date": "2026-06-28", "deadline_date": "2026-07-28", "notice_type": "Avis de marché", "award_winner": null, "source_url": "https://www.boamp.fr/avis/detail/26-63506", "relevance_score": 60 } ``` #### Champs de sortie - `source` — toujours `BOAMP`. - `notice_id` — identifiant `idweb` de l'avis BOAMP. - `title`, `description` — objet du marché. - `buyer_name` — acheteur public ; `buyer_country` — `FRA`. - `cpv_codes` — descripteurs (libellés + codes) tenant lieu de classification. - `value_amount`, `value_currency` — non exposés par l'open data BOAMP (`null`). - `publication_date`, `deadline_date` — `AAAA-MM-JJ` (date limite de réponse). - `notice_type` — nature de l'avis (Avis de marché, Avis d'attribution…). - `award_winner` — titulaire pour les avis d'attribution. - `source_url` — lien direct vers l'avis sur boamp.fr. - `relevance_score` — pertinence mots-clés, 0–100. ### Cas d'usage / Use cases #### Prospection B2G Repérez chaque appel d'offres correspondant à votre offre, classé par pertinence, et envoyez les meilleurs leads vers votre CRM. #### Veille des appels d'offres Programmez l'actor avec `alert_new_only: true` pour ne recevoir que les nouveaux avis chaque matin — sans doublons. #### Veille concurrentielle (attributions) Activez `only_awards: true` pour suivre qui remporte les marchés et à quelles conditions. #### Conformité & audit Conservez une trace horodatée et auditable de l'activité de la commande publique pertinente. #### RAG / LLM Le schéma plat et propre est parfait comme source de connaissances pour des agents de résumé d'appels d'offres. ### Tarification / Pricing Cet actor utilise une tarification **pay-per-result** : **0,005 $ par avis renvoyé** (par élément du dataset), plus l'usage plateforme Apify. Un run de 100 résultats coûte environ **0,50 $** en frais de résultats. Le paramètre `max_items` plafonne la dépense et `alert_new_only` garde les runs programmés économiques. ### Source des données & licence Les données proviennent de l'open data officiel **BOAMP** publié par la **DILA**. Elles sont réutilisables, y compris à des fins commerciales, sous **Licence Ouverte / Open Licence (Etalab) v2.0**, sous réserve de mentionner la source. Cet actor n'offre aucune garantie sur l'exhaustivité ou l'exactitude des avis sous-jacents. ### Notes & limites - Par défaut, les 30 derniers jours sont renvoyés si `date_from` est vide : le run par défaut renvoie toujours des données fraîches. - L'open data BOAMP n'expose pas de montant numérique propre : `value_amount` est `null`. Pour des valeurs de marché à l'échelle européenne, voir notre actor **TED EU Public Tenders**. - BOAMP couvre la France. Pour l'UE 27 + EEE, voir **TED EU Public Tenders** ; pour les attributions européennes, voir **EU Contract Awards Tracker**. ### Use as an MCP tool (AI agents) This Actor is available as an **MCP tool** for AI agents (Claude, ChatGPT, Cursor, etc.) through Apify’s hosted MCP server. Point your MCP client at: ``` https://mcp.apify.com/?actors=aspiring_barricade/boamp-france-marches-publics-api ``` The Actor’s input schema becomes the tool’s parameters automatically. An Apify API token is required. ### Use in n8n Run this Actor inside your [n8n](https://n8n.io) workflows using the official **Apify** node (search “Apify” in the n8n nodes panel) and select the Actor `aspiring_barricade/boamp-france-marches-publics-api`. A dedicated community node (`n8n-nodes-boamp-france`) is also being published to npm for one-click installation via **n8n → Settings → Community Nodes**. # Actor input Schema ## `mots_cles` (type: `array`): Termes recherchés en plein texte sur l'avis (objet, acheteur...). Combinés en OU. ## `departement` (type: `array`): Optionnel. Codes département (ex: 75, 69, 13). ## `type_marche` (type: `array`): Optionnel: Travaux, Fournitures, Services. ## `only_awards` (type: `boolean`): Ne renvoyer que les avis d'attribution (marchés déjà gagnés). ## `date_from` (type: `string`): Optionnel (AAAA-MM-JJ). Vide = 30 derniers jours. ## `date_to` (type: `string`): Optionnel (AAAA-MM-JJ). ## `min_relevance_score` (type: `integer`): Optionnel. Ignore les résultats sous ce seuil de pertinence. ## `alert_new_only` (type: `boolean`): Ne renvoyer que les avis non vus lors des runs précédents. Idéal pour une veille programmée. ## `alert_key` (type: `string`): Espace de nommage de l'historique 'nouveautés' (recherches distinctes = états distincts). ## `max_items` (type: `integer`): Nombre maximum d'avis à renvoyer. ## Actor input object example ```json { "mots_cles": [ "informatique" ], "departement": [], "type_marche": [], "only_awards": false, "min_relevance_score": 0, "alert_new_only": false, "alert_key": "default", "max_items": 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 = { "mots_cles": [ "informatique" ], "max_items": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("aspiring_barricade/boamp-france-marches-publics-api").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 = { "mots_cles": ["informatique"], "max_items": 50, } # Run the Actor and wait for it to finish run = client.actor("aspiring_barricade/boamp-france-marches-publics-api").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 '{ "mots_cles": [ "informatique" ], "max_items": 50 }' | apify call aspiring_barricade/boamp-france-marches-publics-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aspiring_barricade/boamp-france-marches-publics-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BOAMP France Marchés Publics API", "description": "Recherche des marchés publics français via l'open data officiel BOAMP (DILA). Scoring de pertinence, déduplication et mode alerte nouveautés. JSON propre.", "version": "1.0", "x-build-id": "5OGVHSMVwT4sVlboD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aspiring_barricade~boamp-france-marches-publics-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aspiring_barricade-boamp-france-marches-publics-api", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aspiring_barricade~boamp-france-marches-publics-api/runs": { "post": { "operationId": "runs-sync-aspiring_barricade-boamp-france-marches-publics-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aspiring_barricade~boamp-france-marches-publics-api/run-sync": { "post": { "operationId": "run-sync-aspiring_barricade-boamp-france-marches-publics-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "mots_cles" ], "properties": { "mots_cles": { "title": "Mots-clés", "type": "array", "description": "Termes recherchés en plein texte sur l'avis (objet, acheteur...). Combinés en OU.", "default": [ "informatique" ], "items": { "type": "string" } }, "departement": { "title": "Départements", "type": "array", "description": "Optionnel. Codes département (ex: 75, 69, 13).", "default": [], "items": { "type": "string" } }, "type_marche": { "title": "Type de marché", "type": "array", "description": "Optionnel: Travaux, Fournitures, Services.", "default": [], "items": { "type": "string" } }, "only_awards": { "title": "Seulement les attributions", "type": "boolean", "description": "Ne renvoyer que les avis d'attribution (marchés déjà gagnés).", "default": false }, "date_from": { "title": "Publié à partir du", "type": "string", "description": "Optionnel (AAAA-MM-JJ). Vide = 30 derniers jours." }, "date_to": { "title": "Publié jusqu'au", "type": "string", "description": "Optionnel (AAAA-MM-JJ)." }, "min_relevance_score": { "title": "Score de pertinence minimum (0-100)", "type": "integer", "description": "Optionnel. Ignore les résultats sous ce seuil de pertinence.", "default": 0 }, "alert_new_only": { "title": "Mode alerte: uniquement les nouveautés", "type": "boolean", "description": "Ne renvoyer que les avis non vus lors des runs précédents. Idéal pour une veille programmée.", "default": false }, "alert_key": { "title": "Clé d'alerte", "type": "string", "description": "Espace de nommage de l'historique 'nouveautés' (recherches distinctes = états distincts).", "default": "default" }, "max_items": { "title": "Nombre max de résultats", "type": "integer", "description": "Nombre maximum d'avis à renvoyer.", "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 } } } } } } } } } } ```