# Bienici Scraper (`silentflow/bienici-scraper`) Actor Extract real estate listings from Bienici.com (Bien'ici). Scrape apartments, houses, rentals in Paris, Lyon, Marseille & all French cities. Get prices, DPE ratings, photos, agency contacts. Monitor new listings. Export to Excel, CSV, JSON. Perfect for market research & lead generation. - **URL**: https://apify.com/silentflow/bienici-scraper.md - **Developed by:** [SilentFlow](https://apify.com/silentflow) (community) - **Categories:** Real estate, Automation, Lead generation - **Features:** Limited permissions - **Stats:** 13 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## Bien'ici Scraper - France Real Estate Data Extractor & API Extract real estate listings from **Bien'ici.com** (Bienici) – France's premium property portal with **millions of monthly visits**. Scrape apartments for sale, rental listings, house prices, DPE energy ratings, agency contacts and property data. Export to Excel, CSV, JSON, XML or connect via API. **Keywords:** Bienici scraper, Bien'ici scraper, France real estate API, property data extraction, immobilier France, appartement Paris, location Lyon, achat maison, DPE scraper, real estate lead generation, Bienici API *** ### ✨ Features & Capabilities | Feature | Description | |---------|-------------| | 🏠 **Property Sales Scraping** | Extract apartments, houses, land listings for sale across all French cities | | 🔑 **Rental Data Extraction** | Scrape apartments, houses, studios for rent with full details | | 📊 **Price & Market Data** | Property price, price per m², market comparisons | | 🌡️ **Energy Performance Data** | DPE & GES energy ratings (A to G) with consumption values | | 📞 **Agency Lead Generation** | Agent name, phone number, email, agency details | | 🚇 **Location Intelligence** | GPS coordinates, city, postal code, neighborhood data | | 🔍 **Custom Search Scraping** | Use any Bienici search URL with your filters | | 🎯 **Direct Listing Scraping** | Scrape specific property URLs you've bookmarked | | 📈 **Change Detection (Delta Mode)** | Track new listings & removed properties since last run | | 🔬 **Deep Scrape Mode** | Full description, all photos, agency phone number | | 🏗️ **Property Details** | Construction year, floors, land surface, DPE date, exposition, parking, terraces, bathrooms, features, agency fees | *** ### Why Choose This Bien'ici Scraper? This Bienici data extraction tool helps you collect French real estate listings at scale for market research, competitive analysis, price monitoring and lead generation. #### Who Uses This Tool? - **Real Estate Agencies** – Monitor competitor listings and track property prices in Paris, Lyon, Marseille, Bordeaux, Nice, Toulouse, Nantes, Strasbourg - **Property Investors** – Find investment opportunities, analyze price per m² across French regions and départements - **Market Research Firms** – Study real estate market trends, price evolution, inventory levels, DPE distribution - **PropTech Startups** – Build property valuation tools, comparison platforms, market dashboards, price estimators - **Data Scientists** – Analyze French housing market, energy efficiency trends, location intelligence data - **Lead Generation** – Collect agency contacts, agent phone numbers, emails for B2B real estate services #### Data You Can Extract Structured property data including: listing ID, title, description, price, price per m², surface area, land surface, rooms, bedrooms, bathrooms, shower rooms, toilets, floor, total floors, construction year, exposition, parking places, garages, terraces, balconies, features (garden, pool, cellar, elevator, air conditioning, alarm), property type (apartment, house, parking, land), transaction type (buy, rent), DPE/GES energy class, DPE diagnostic date, price without fees, agency fee percentage, photos, GPS coordinates, city, postal code, agency contact details, publication date and more. *** ### How to Use This Bien'ici Scraper #### Method 1: Search URL Scraping 1. Go to [bienici.com](https://www.bienici.com) 2. Apply your search filters (location, price range, property type, rooms) 3. Copy the URL from your browser address bar 4. Paste it in the `startUrls` input field #### Method 2: Direct Listing Scraping 1. Open any property listing on Bien'ici 2. Copy the listing URL 3. Add it to the `adUrls` input field *** ### Input Configuration Examples #### Scrape Apartments for Sale in Paris ```json { "startUrls": [ {"url": "https://www.bienici.com/recherche/achat/paris-75000"} ], "pages": 5, "deepScrape": true } ``` #### Scrape Rental Listings in Lyon ```json { "startUrls": [ {"url": "https://www.bienici.com/recherche/location/lyon-69000"} ], "pages": 3, "deepScrape": true, "maxConcurrency": 3 } ``` #### Scrape Specific Property Listings ```json { "adUrls": [ {"url": "https://www.bienici.com/annonce/123456789"}, {"url": "https://www.bienici.com/annonce/987654321"} ] } ``` #### Multi-City Real Estate Scraping ```json { "startUrls": [ {"url": "https://www.bienici.com/recherche/achat/paris-75000"}, {"url": "https://www.bienici.com/recherche/achat/lyon-69000"}, {"url": "https://www.bienici.com/recherche/achat/marseille-13000"}, {"url": "https://www.bienici.com/recherche/achat/bordeaux-33000"} ], "pages": 2, "deepScrape": true } ``` #### Monitor New Listings with Delta Mode ```json { "startUrls": [ {"url": "https://www.bienici.com/recherche/achat/paris-75000"} ], "pages": 3, "enableDeltaMode": true } ``` *** ### Output Data Schema Download scraped data as **Excel, CSV, JSON, HTML or XML**. Connect via Apify API for real-time integration. #### Fast Mode Output (Basic Property Data) ```json { "id": 123456789, "adId": "ag123456-789", "title": "Appartement 2 pièces 45 m² - Paris 15ème", "price": 320000, "pricePerSquareMeter": 7111, "surface": 45, "rooms": 2, "bedrooms": 1, "city": "Paris", "zipcode": "75015", "propertyType": "flat", "transactionType": "buy", "scrapedAt": "2024-12-01T20:30:00Z" } ``` #### Deep Scrape Output (Complete Property Data) ```json { "id": 123456789, "adId": "ag123456-789", "title": "Appartement 2 pièces 45 m² - Paris 15ème", "description": "Bel appartement situé dans le 15ème arrondissement de Paris, proche métro et commerces...", "price": 320000, "pricePerSquareMeter": 7111, "surface": 45, "rooms": 2, "bedrooms": 1, "floor": 3, "totalFloors": 6, "constructionYear": 1970, "dpeDate": "2025-05-12", "exposition": "Sud Ouest", "propertyType": "flat", "transactionType": "buy", "isNew": false, "isExclusive": false, "hasParking": true, "parkingPlaces": 1, "hasBalcony": true, "balconies": 1, "bathrooms": 1, "toilets": 1, "hasElevator": true, "features": ["cellar", "elevator", "intercom"], "priceWithoutFees": 305000, "agencyFeePercentage": 4.92, "feesChargedTo": "purchaser", "city": "Paris", "zipcode": "75015", "lat": 48.8421, "lng": 2.2889, "energyClass": "D", "gesClass": "C", "images": [ "https://cdn.bienici.com/photo1.jpg", "https://cdn.bienici.com/photo2.jpg", "https://cdn.bienici.com/photo3.jpg" ], "contactName": "Agence Immobilière Paris 15", "contactPhone": "0123456789", "isPro": true, "publicationDate": "2024-11-20T10:00:00Z", "lastModificationDate": "2024-11-28T14:30:00Z", "scrapedAt": "2024-12-01T20:30:00Z" } ``` *** ### Input Parameters Reference | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `startUrls` | array | Bienici search page URLs to scrape (max: 20) | - | | `adUrls` | array | Direct property listing URLs to scrape (max: 500) | - | | `searchUrl` | string | Single search URL (alternative to startUrls) | - | | `pages` | integer | Number of result pages to scrape per URL (1-50) | 1 | | `enableDeltaMode` | boolean | Only return new/removed listings since last run | false | | `deepScrape` | boolean | Scrape full details from each listing page | false | | `maxConcurrency` | integer | Parallel scraping workers (1-5) | 3 | | `proxyUrl` | string | Custom proxy URL (French residential recommended) | - | *** ### Use Cases & Applications - 🏠 **Competitive Intelligence** – Monitor competitor agency listings, track price changes across Paris arrondissements, Lyon, Marseille, Bordeaux, Nice - 📊 **Market Analysis** – Analyze real estate pricing trends by city, département, region, neighborhood - 💰 **Investment Research** – Find undervalued properties, compare price per m² across French cities - 📈 **Price Monitoring** – Track price drops, new listings, and market evolution with automated Delta Mode - 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Bienici requires **French residential proxies** (country code: FR) for reliable scraping. The website may block requests from non-French IP addresses or data center IPs. Use Apify Residential proxy with country set to FR for best results. #### What's the difference between Fast Mode and Deep Scrape? **Fast Mode** (deepScrape: false): Extracts the property data from search results, including the details agencies fill in (construction year, DPE date, land surface, parking, features, fees). **Deep Scrape** (deepScrape: true): Opens each listing page to add the complete description, all photos, and the agency phone number. #### Do you extract the "À propos de ce bien" details (construction year, DPE date, land surface)? Yes. Every listing row carries `constructionYear`, `totalFloors`, `dpeDate`, `landSurface`, `exposition`, `parkingPlaces`, `garages`, `terraces`, `balconies`, `bathrooms`, `showerRooms` and `toilets` whenever the agency filled them in, in Fast Mode as well as Deep Scrape. The `features` array lists every extra amenity tagged on the listing (garden, pool, cellar, elevator, air conditioning, alarm, fireplace, intercom), so new tags reach your dataset automatically. `totalFloors` is the number of levels reported by Bien'ici, ground floor included. #### Can I scrape specific listings I've bookmarked? Yes! Use the `adUrls` input field with direct links to the specific property listings you want to scrape. You can scrape up to 500 direct URLs. #### How does Delta Mode work for monitoring? Delta Mode compares current scraping results with your previous run and returns only: - **New listings** that appeared since last scrape - **Removed listings** that are no longer available Perfect for automated monitoring, price alerts, and new property notifications. #### How many listings can I scrape? Up to **50 pages** per search URL, with approximately 24 property listings per page. You can combine up to 20 search URLs for broader geographic coverage. Total capacity: ~24,000 listings per run. #### Can I extract agency phone numbers and emails? Yes! With `deepScrape: true`, you get available agency contact data: agent name, phone number, email address (when provided), and agency details. #### What export formats are available? Export your scraped data as Excel (XLSX), CSV, JSON, XML, or HTML. You can also connect via Apify API for real-time data integration with your CRM, database, or custom applications. *** ### 📬 Support & Contact Questions or issues? Contact **SilentFlow** on Apify. *** **⭐ If this scraper helped you, please leave a review!** *** *** ## 🇫🇷 Version Française *** *** ## Bien'ici Scraper - Extraction de Données Immobilières France Extrayez les annonces immobilières de **Bien'ici.com** (Bienici) – le portail immobilier premium en France avec **des millions de visites mensuelles**. Scrapez les appartements à vendre, les locations, les prix immobiliers, les diagnostics DPE, les contacts d'agences et toutes les données des biens. Exportez en Excel, CSV, JSON, XML ou connectez-vous via API. **Mots-clés :** scraper Bienici, scraper Bien'ici, API immobilier France, extraction données immobilières, appartement Paris, location Lyon, maison à vendre, scraper DPE, génération de leads immobilier, API Bienici *** ### ✨ Fonctionnalités & Capacités | Fonctionnalité | Description | |----------------|-------------| | 🏠 **Scraping ventes immobilières** | Extrayez appartements, maisons, terrains à vendre dans toutes les villes françaises | | 🔑 **Extraction données locations** | Scrapez appartements, maisons, studios à louer avec tous les détails | | 📊 **Données prix & marché** | Prix du bien, prix au m², comparaisons de marché | | 🌡️ **Données performance énergétique** | Classes DPE & GES (A à G) avec valeurs de consommation | | 📞 **Génération de leads agences** | Nom agent, téléphone, email, détails agence | | 🚇 **Intelligence géographique** | Coordonnées GPS, ville, code postal, quartier | | 🔍 **Scraping recherche personnalisée** | Utilisez n'importe quelle URL Bienici avec vos filtres | | 🎯 **Scraping annonces directes** | Scrapez des URLs de biens spécifiques que vous avez enregistrées | | 📈 **Détection changements (Mode Delta)** | Suivez les nouvelles annonces et celles supprimées | | 🔬 **Mode Deep Scrape** | Description complète, toutes les photos, téléphone de l'agence | | 🏗️ **Détails du bien** | Année de construction, étages, surface du terrain, date du DPE, exposition, parking, terrasses, salles de bain, équipements, honoraires | *** ### Pourquoi choisir ce scraper Bien'ici ? Cet outil d'extraction de données Bienici vous aide à collecter les annonces immobilières françaises à grande échelle pour vos études de marché, analyses concurrentielles, surveillance des prix et génération de leads. #### Qui utilise cet outil ? - **Agences immobilières** – Surveillez les annonces concurrentes, suivez les prix à Paris, Lyon, Marseille, Bordeaux, Nice, Toulouse, Nantes, Strasbourg - **Investisseurs immobiliers** – Trouvez des opportunités d'investissement, analysez le prix au m² par région et département - **Cabinets d'études de marché** – Étudiez les tendances du marché, l'évolution des prix, les niveaux de stock, la distribution DPE - **Startups PropTech** – Construisez des outils d'estimation, plateformes de comparaison, tableaux de bord marché - **Data Scientists** – Analysez le marché du logement français, les tendances énergétiques, l'intelligence géographique - **Génération de leads** – Collectez les contacts d'agences, téléphones, emails pour la prospection B2B #### Données que vous pouvez extraire Données immobilières structurées : ID annonce, titre, description, prix, prix au m², surface, surface du terrain, pièces, chambres, salles de bain, salles d'eau, WC, étage, nombre d'étages, année de construction, exposition, places de parking, box, terrasses, balcons, équipements (jardin, piscine, cave, ascenseur, climatisation, alarme), type de bien (appartement, maison, parking, terrain), type de transaction (achat, location), classe DPE/GES, date du DPE, prix hors honoraires, pourcentage d'honoraires, photos, coordonnées GPS, ville, code postal, contacts agence, date publication et plus. *** ### Comment utiliser ce scraper Bien'ici #### Méthode 1 : Scraping URL de recherche 1. Allez sur [bienici.com](https://www.bienici.com) 2. Appliquez vos filtres (localisation, fourchette de prix, type de bien, pièces) 3. Copiez l'URL de la barre d'adresse de votre navigateur 4. Collez-la dans le champ `startUrls` #### Méthode 2 : Scraping annonces directes 1. Ouvrez une annonce sur Bien'ici 2. Copiez l'URL de l'annonce 3. Ajoutez-la au champ `adUrls` *** ### Exemples de configuration #### Scraper les appartements à vendre à Paris ```json { "startUrls": [ {"url": "https://www.bienici.com/recherche/achat/paris-75000"} ], "pages": 5, "deepScrape": true } ``` #### Scraper les locations à Lyon ```json { "startUrls": [ {"url": "https://www.bienici.com/recherche/location/lyon-69000"} ], "pages": 3, "deepScrape": true, "maxConcurrency": 3 } ``` #### Scraper des annonces spécifiques ```json { "adUrls": [ {"url": "https://www.bienici.com/annonce/123456789"}, {"url": "https://www.bienici.com/annonce/987654321"} ] } ``` #### Scraping immobilier multi-villes ```json { "startUrls": [ {"url": "https://www.bienici.com/recherche/achat/paris-75000"}, {"url": "https://www.bienici.com/recherche/achat/lyon-69000"}, {"url": "https://www.bienici.com/recherche/achat/marseille-13000"}, {"url": "https://www.bienici.com/recherche/achat/bordeaux-33000"} ], "pages": 2, "deepScrape": true } ``` #### Surveiller les nouvelles annonces avec le Mode Delta ```json { "startUrls": [ {"url": "https://www.bienici.com/recherche/achat/paris-75000"} ], "pages": 3, "enableDeltaMode": true } ``` *** ### Schéma des données de sortie Téléchargez les données scrapées en **Excel, CSV, JSON, HTML ou XML**. Connectez-vous via l'API Apify pour une intégration en temps réel. #### Sortie Mode Rapide (Données basiques) ```json { "id": 123456789, "adId": "ag123456-789", "title": "Appartement 2 pièces 45 m² - Paris 15ème", "price": 320000, "pricePerSquareMeter": 7111, "surface": 45, "rooms": 2, "bedrooms": 1, "city": "Paris", "zipcode": "75015", "propertyType": "flat", "transactionType": "buy", "scrapedAt": "2024-12-01T20:30:00Z" } ``` #### Sortie Deep Scrape (Données complètes) ```json { "id": 123456789, "adId": "ag123456-789", "title": "Appartement 2 pièces 45 m² - Paris 15ème", "description": "Bel appartement situé dans le 15ème arrondissement de Paris, proche métro et commerces...", "price": 320000, "pricePerSquareMeter": 7111, "surface": 45, "rooms": 2, "bedrooms": 1, "floor": 3, "totalFloors": 6, "constructionYear": 1970, "dpeDate": "2025-05-12", "exposition": "Sud Ouest", "propertyType": "flat", "transactionType": "buy", "isNew": false, "isExclusive": false, "hasParking": true, "parkingPlaces": 1, "hasBalcony": true, "balconies": 1, "bathrooms": 1, "toilets": 1, "hasElevator": true, "features": ["cellar", "elevator", "intercom"], "priceWithoutFees": 305000, "agencyFeePercentage": 4.92, "feesChargedTo": "purchaser", "city": "Paris", "zipcode": "75015", "lat": 48.8421, "lng": 2.2889, "energyClass": "D", "gesClass": "C", "images": [ "https://cdn.bienici.com/photo1.jpg", "https://cdn.bienici.com/photo2.jpg", "https://cdn.bienici.com/photo3.jpg" ], "contactName": "Agence Immobilière Paris 15", "contactPhone": "0123456789", "isPro": true, "publicationDate": "2024-11-20T10:00:00Z", "lastModificationDate": "2024-11-28T14:30:00Z", "scrapedAt": "2024-12-01T20:30:00Z" } ``` *** ### Référence des paramètres d'entrée | Paramètre | Type | Description | Défaut | |-----------|------|-------------|--------| | `startUrls` | array | URLs de pages de recherche Bienici à scraper (max: 20) | - | | `adUrls` | array | URLs directes d'annonces à scraper (max: 500) | - | | `searchUrl` | string | URL de recherche unique (alternative à startUrls) | - | | `pages` | integer | Nombre de pages de résultats à scraper par URL (1-50) | 1 | | `enableDeltaMode` | boolean | Ne retourner que les nouvelles/supprimées depuis le dernier run | false | | `deepScrape` | boolean | Scraper tous les détails depuis chaque page d'annonce | false | | `maxConcurrency` | integer | Workers de scraping parallèles (1-5) | 3 | | `proxyUrl` | string | URL proxy personnalisée (résidentiel français recommandé) | - | *** ### Cas d'utilisation & Applications - 🏠 **Veille concurrentielle** – Surveillez les annonces des agences concurrentes, suivez les changements de prix par arrondissement à Paris, Lyon, Marseille, Bordeaux, Nice - 📊 **Analyse de marché** – Analysez les tendances de prix par ville, département, région, quartier - 💰 **Recherche investissement** – Trouvez les biens sous-évalués, comparez le prix au m² par ville - 📈 **Surveillance des prix** – Suivez les baisses de prix, nouvelles annonces, évolution du marché avec le Mode Delta - 🏗️ **Suivi programmes neufs** – Surveillez les nouveaux projets immobiliers et préventes - 🔍 **Recherche académique** – Étudiez la distribution DPE, la dynamique du marché du logement, le développement urbain - 🏪 **Développement PropTech** – Construisez des APIs d'estimation, outils de comparaison, tableaux de bord, modèles de prédiction de prix - 📞 **Génération de leads B2B** – Extrayez les contacts d'agences pour prestataires de services immobiliers, courtiers en prêts, assurances *** ### Formats d'URL Bienici supportés | Type d'URL | Exemple | |------------|---------| | Recherche simple | `https://www.bienici.com/recherche/achat/paris-75000` | | Recherche ville | `https://www.bienici.com/recherche/achat/lyon-69000` | | Location | `https://www.bienici.com/recherche/location/marseille-13000` | | Annonce directe | `https://www.bienici.com/annonce/123456789` | *** ### Questions fréquentes #### Pourquoi suis-je bloqué ou ai-je des résultats vides ? Bienici nécessite des **proxies résidentiels français** (code pays : FR) pour un scraping fiable. Le site peut bloquer les requêtes depuis des adresses IP non-françaises ou de data centers. Utilisez le proxy résidentiel Apify avec le pays réglé sur FR pour de meilleurs résultats. #### Quelle est la différence entre Mode Rapide et Deep Scrape ? **Mode Rapide** (deepScrape: false) : Extrait les données du bien depuis les résultats de recherche, y compris les détails renseignés par l'agence (année de construction, date du DPE, surface du terrain, parking, équipements, honoraires). **Deep Scrape** (deepScrape: true) : Ouvre chaque page d'annonce pour ajouter la description complète, toutes les photos et le téléphone de l'agence. #### Extrayez-vous les détails « À propos de ce bien » (année de construction, date du DPE, surface du terrain) ? Oui. Chaque ligne contient `constructionYear`, `totalFloors`, `dpeDate`, `landSurface`, `exposition`, `parkingPlaces`, `garages`, `terraces`, `balconies`, `bathrooms`, `showerRooms` et `toilets` dès que l'agence les a renseignés, en Mode Rapide comme en Deep Scrape. Le tableau `features` liste tous les équipements tagués sur l'annonce (jardin, piscine, cave, ascenseur, climatisation, alarme, cheminée, interphone), donc les nouveaux tags arrivent automatiquement dans vos données. `totalFloors` est le nombre de niveaux annoncé par Bien'ici, rez-de-chaussée inclus. #### Puis-je scraper des annonces spécifiques que j'ai enregistrées ? Oui ! Utilisez le champ `adUrls` avec les liens directs vers les annonces spécifiques que vous voulez scraper. Vous pouvez scraper jusqu'à 500 URLs directes. #### Comment fonctionne le Mode Delta pour la surveillance ? Le Mode Delta compare les résultats actuels avec votre exécution précédente et retourne uniquement : - **Nouvelles annonces** apparues depuis le dernier scraping - **Annonces supprimées** qui ne sont plus disponibles Parfait pour la surveillance automatisée, les alertes de prix et notifications de nouveaux biens. #### Combien d'annonces puis-je scraper ? Jusqu'à **50 pages** par URL de recherche, avec environ 24 annonces par page. Vous pouvez combiner jusqu'à 20 URLs de recherche pour une couverture géographique plus large. Capacité totale : ~24 000 annonces par exécution. #### Puis-je extraire les numéros de téléphone et emails des agences ? Oui ! Avec `deepScrape: true`, vous obtenez les données de contact disponibles : nom de l'agent, numéro de téléphone, adresse email (quand fournie), et détails de l'agence. #### Quels formats d'export sont disponibles ? Exportez vos données en Excel (XLSX), CSV, JSON, XML ou HTML. Vous pouvez aussi vous connecter via l'API Apify pour une intégration en temps réel avec votre CRM, base de données ou applications personnalisées. *** ### 📬 Support & Contact Questions ou problèmes ? Contactez **SilentFlow** sur Apify. *** **⭐ Si ce scraper vous a aidé, laissez un avis !** # Actor input Schema ## `location` (type: `string`): City or area to search (e.g. "Paris", "Lyon 69003", "Marseille-13001", "Bordeaux-33000"). You can also use a district name like "Paris 11e". ## `transactionType` (type: `string`): Type of listings to search for ## `maxItems` (type: `integer`): Maximum number of listings to return. The scraper fetches 24 listings per page and stops when this limit is reached. ## `deepScrape` (type: `boolean`): When enabled, visits each listing page for extra details (full description, DPE energy rating, contact info, floor plans). Slower but more complete data. ## `startUrls` (type: `array`): Override location field with specific Bienici search URLs. Copy the URL from your browser after applying your filters on bienici.com. ## `adUrls` (type: `array`): Scrape specific listings by URL (e.g. https://www.bienici.com/annonce/...). Overrides search mode. ## Actor input object example ```json { "location": "Paris", "transactionType": "rent", "maxItems": 100, "deepScrape": false, "startUrls": [], "adUrls": [] } ``` # Actor output Schema ## `properties` (type: `string`): Complete property listing data including: id (numeric identifier), adId (full Bien'ici ad ID as text, unique per listing), title (listing title), price (asking price in EUR), surface (area in m²), rooms (number of rooms), bedrooms (number of bedrooms), city (location), postalCode, propertyType (apartment/house/land), transactionType (sale/rent), energyClass (DPE rating A-G), gasEmissionClass (GES rating), description (full text), photos (image URLs), agencyName, agencyPhone, agencyEmail, url (listing page), latitude, longitude, publicationDate, lastUpdate, plus the property details agencies add: constructionYear, totalFloors, dpeDate (DPE diagnostic date), landSurface (m² of land), exposition, parkingPlaces, garages, terraces, balconies, bathrooms, showerRooms, toilets, features (garden, pool, cellar, elevator, air conditioning, alarm...), priceWithoutFees, agencyFeePercentage, feesChargedTo. ## `propertiesCSV` (type: `string`): CSV format export of all property listings for spreadsheet analysis ## `propertiesExcel` (type: `string`): Excel format export of all property listings # 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 = { "location": "Paris", "startUrls": [], "adUrls": [] }; // Run the Actor and wait for it to finish const run = await client.actor("silentflow/bienici-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 = { "location": "Paris", "startUrls": [], "adUrls": [], } # Run the Actor and wait for it to finish run = client.actor("silentflow/bienici-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "location": "Paris", "startUrls": [], "adUrls": [] }' | apify call silentflow/bienici-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,silentflow/bienici-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/ejCOnSIbgGRsuQsPq/builds/D9hoiUWQGvpxXheAm/openapi.json