Bien ici Scraper 🏠 avatar

Bien ici Scraper 🏠

Try for free

1 day trial then $30.00/month - No credit card required now

Go to Store
Bien ici Scraper 🏠

Bien ici Scraper 🏠

qpayre/bien-ici-scraper
Try for free

1 day trial then $30.00/month - No credit card required now

🏠🔍 Maximize real estate insights with our Bien ici scraper actor! 📈 Extract Bien Ici data effortlessly, fueling smart decisions and unveiling market trends. Elevate your real estate game today. 🚀

🏠 Real Estate Bienici Scraper

image

The Bien'ici Real Estate Scraper actor is a powerful web scraping tool designed specifically to extract real estate listings from the Bien'ici website. Bien'ici is a popular real estate platform that offers a wide range of property listings, making it a valuable resource for homebuyers, renters, and real estate enthusiasts.

Features

  • Efficient Data Extraction: 🚀 Extracts essential property info: details, images, prices, addresses, and more.

  • Customizable Search Criteria: 🎯 Tailor searches by location, type, price range, etc.

  • Data Enrichment: 🌐 Enhance data by cross-referencing sources.

  • Output Formats: 💾 Export in JSON, CSV, Excel, or to databases.

  • User-Friendly: 🤝 Easy setup, no coding needed; advanced options available.

Use cases

  • Real Estate Market Analysis: 🏢📊 Real estate professionals can leverage the scraped data to analyze market trends, track property prices, and pinpoint 🎯 investment opportunities.

  • Property Comparison: 🏠🔍 Homebuyers and renters can effortlessly compare diverse listings based on their preferences, including location, amenities, and 💲 price.

  • Lead Generation: 🏘️📞 Real estate agents can employ the actor to gather contact information from property listings, facilitating them to generate leads and establish connections with potential clients.

  • Research and Insights: 📚🔬 Researchers and data analysts can harness the scraped data for comprehensive studies on the real estate market, empowering them to make 🧠 informed decisions.

Input

  • City Name (String): 🏙️ The name of the city for which you want to scrape real estate data. Provide the full name of the city where you are interested in finding properties.

  • Zipcode of the City (Number): 🏞️ The zipcode of the city you're targeting. Specify the zipcode to narrow down the search area.

  • Buy or Rent (String): 🏠 Specify whether you are interested in buying or renting properties. Choose between "BUY" or "RENT" to filter the results accordingly.

  • Max Price (Number): 💲 The maximum price you are willing to pay for a property. Set the budget limit to refine the search results.

  • Minimum Rooms (Number): 🛏️ The minimum number of rooms you require in a property. Specify the desired minimum number of rooms to find listings that match your space needs.

Output

Certainly! Here's an "Output" section for a README that explains the information in the provided JSON data:

Output

The Apify actor returns real estate property information in a structured JSON format. Each property listing includes the following fields (non exhaustive list):

  • City (String): The name of the city where the property is located. For example, "Paris 18e" and "Paris 17e".

  • Postal Code (String): The postal code of the city where the property is situated. For instance, "75018" and "75017".

  • Listing ID (String): A unique identifier for the property listing. For example, "iad-france-1261995" and "breteuil-immobilier-3405509".

  • Ad Type (String): Indicates whether the property is listed for buying or renting. Possible values are "Buy" or "Rent".

  • Property Type (String): Specifies the type of property, such as "Flat".

  • Description (String): A detailed description of the property listing, including its features, amenities, and other relevant information.

  • Title (String): The title of the property listing, often indicating key details like the number of rooms.

  • Publication Date (String): The date when the property listing was published. For example, "January 1, 1970".

  • New Property (Boolean): Indicates whether the property is newly listed. Values are either "true" or "false".

  • Year of Construction (Number): The year in which the property was constructed. For instance, "1870" and "1900".

  • Price (Number): The price of the property, often in euros. For example, €286,000 and €295,000.

  • Surface Area (Number): The total surface area of the property in square meters.

  • Rooms Quantity (Number): The number of rooms in the property.

  • Bedrooms Quantity (Number): The number of bedrooms in the property.

  • Floor Quantity (Number): The floor number where the property is located.

  • Bathrooms Quantity (Number): The number of bathrooms in the property.

  • Toilet Quantity (Number): The number of toilets in the property.

  • Has Cellar (Boolean): Indicates whether the property has a cellar. Values are either "true" or "false".

  • Has Alarm (Boolean): Indicates whether the property has an alarm system. Values are either "true" or "false".

  • Has FirePlace (Boolean): Indicates whether the property has a fireplace. Values are either "true" or "false".

  • Is Exclusive Sale Mandate (Boolean): Indicates whether the property is under an exclusive sale mandate. Values are either "true" or "false".

  • Energy Value (Number): The energy efficiency value of the property.

  • Greenhouse Gaz Value (Number): The greenhouse gas emission value of the property.

  • Fees Charged To (String): Specifies who is responsible for paying the fees. Values can be "seller" or "purchaser".

  • Agency Fee URL (String): The URL providing detailed information about agency fees.

  • Energy Performance Diagnostic Date (String): The date of the energy performance diagnostic assessment.

  • Energy Classification (String): The energy efficiency classification of the property.

  • Greenhouse Gaz Classification (String): The greenhouse gas emission classification of the property.

  • Ad Created By Pro (Boolean): Indicates whether the property listing was created by a professional. Values are either "true" or "false".

  • Heating (String): The heating system used in the property.

  • Price Per Square Meter (Number): The price per square meter of the property.

  • Transaction Type (String): Specifies whether the transaction is for buying or renting.

  • Optical Fiber Status (String): Indicates the status of optical fiber availability.

  • Customer ID (String): The unique identifier of the customer associated with the property listing.

Please note that the provided data is representative, and the actual information for each field may vary based on the specific property listing.

⚠️ ** YOU ALSO HAVE MORE DATA, SUCH AS PHOTO, AGENCY INFO AND MORE**

Json Example:

1[
2    {
3    "city": "Paris 18e",
4    "postalCode": "75018",
5    "id": "iad-france-1261995",
6    "adType": "buy",
7    "propertyType": "flat",
8    "description": "iad France - Miaomiao Yu (<span class=\"importDescriptionDecorator\" data-type=\"phone\">06 31 09 39 71</span>) vous propose : Au début de la rue des Roses, proche du métro Marx Dormoy et Porte de la Chapelle.<br>Au Rez-de-chaussée d'un ancien immeuble bien entretenue, se trouve ce 3 pièces de 43m2 environ LOI CARREZ, traversant , composée, une entrée, séjour, cuisine séparée, deux chambres dont une avec placard intégrer, salle de bains avec wc et la fenêtre, une cave complètent ce bien au sous-sol et deux débarras dans la cour<br>Possible de séparer le bien en deux lot, un studio et un T2 après autorisation de syndic. Travaux à prévoir<br>Idéalement pour un investissement ou résidence principal<br>La présente annonce immobilière vise 2 lots principaux situés dans une copropriété formant 15 lots au total ne faisant l'objet d'aucune procédure en cours et d'un montant de charges d’environ 171.67 € par mois (soit 2060.04 € annuel) déclaré par le vendeur.Honoraires d’agence à la charge du vendeur.Information d'affichage énergétique sur ce bien : classe ENERGIE E indice 294 et classe CLIMAT B indice 9.   Les informations sur les risques auxquels ce bien est exposé sont disponibles sur le site Géorisques : www.georisques.gouv.fr.  La présente annonce immobilière a été rédigée sous la responsabilité éditoriale de Mlle Miaomiao Yu EI (ID 35715), mandataire indépendant en immobilier (sans détention de fonds), agent commercial de la SAS I@D France immatriculé au RSAC de bobigny sous le numéro 848 075 495, titulaire de la carte de démarchage immobilier pour le compte de la société I@D France SAS.<br>Retrouvez tous nos biens sur notre site internet. <span class=\"importDescriptionDecorator\" data-url=\"www.iadfrance.fr\" data-type=\"basicUrl\">www.iadfrance.fr</span>",
9    "title": "Vente Appartement 3 pièces",
10    "publicationDate": "1970-01-01T00:00:00.000Z",
11    "newProperty": false,
12    "yearOfConstruction": 1870,
13    "price": 286000,
14    "surfaceArea": 41,
15    "roomsQuantity": 3,
16    "bedroomsQuantity": 2,
17    "floorQuantity": 7,
18    "hasCellar": true,
19    "hasAlarm": false,
20    "hasFirePlace": false,
21    "isExclusiveSaleMandate": true,
22    "energyValue": 294,
23    "greenhouseGazValue": 9,
24    "feesChargedTo": "seller",
25    "agencyFeeUrl": "https://bareme.iadfrance.fr/detail/35715",
26    "energyPerformanceDiagnosticDate": "2022-12-16",
27    "energyClassification": "E",
28    "greenhouseGazClassification": "B",
29    "adCreatedByPro": true,
30    "heating": "radiateur électrique individuel ",
31    "pricePerSquareMeter": 6975.609756097561,
32    "transactionType": "buy",
33    "opticalFiberStatus": "deploye"
34  },
35  {
36    "city": "Paris 17e",
37    "postalCode": "75017",
38    "id": "breteuil-immobilier-3405509",
39    "adType": "buy",
40    "propertyType": "flat",
41    "description": "Pont Cardinet, à proximité des commerces et transports, au 1er étage d'un immeuble  de bon standing, dont les parties communes ont été refaites, appartement à rénover, idéal investisseur, comprenant entrée, séjour, chambre, cuisine indépendante, salle de douche avec toilettes. A deux pas du Square des Batignolles cet appartement clair est idéalement situé. Cave",
42    "title": "Pont Cardinet - Saussure",
43    "publicationDate": "1970-01-01T00:00:00.000Z",
44    "newProperty": false,
45    "yearOfConstruction": 1900,
46    "price": 295000,
47    "surfaceArea": 33.4,
48    "roomsQuantity": 3,
49    "bedroomsQuantity": 1,
50    "floorQuantity": 6,
51    "bathroomsQuantity": 1,
52    "toiletQuantity": 1,
53    "isExclusiveSaleMandate": false,
54    "energyValue": 561,
55    "greenhouseGazValue": 18,
56    "feesChargedTo": "purchaser",
57    "priceWithoutFees": 280952.38,
58    "energyClassification": "G",
59    "greenhouseGazClassification": "C",
60    "exposition": "Nord Est",
61    "adCreatedByPro": true,
62    "heating": "électrique ",
63    "pricePerSquareMeter": 8411.747904191618,
64    "transactionType": "buy",
65    "opticalFiberStatus": "deploye",
66    "customerId": "kimono+breteuil+immobilier2@f4-group.com"
67  },
68]

image

Contact us ?

Any project or questions ?

📧 quentin.payre.entreprise@gmail.com Telegram @quentinpjf

Developer
Maintained by Community

Actor Metrics

  • 5 monthly users

  • 1 star

  • >99% runs succeeded

  • Created in Jun 2023

  • Modified a year ago