# Bien Ici Scraper (`saswave/bien-ici-scraper`) Actor
$1 / 1000 résulats. Extraire les données immobilières Bienici.com, le portail cartographique de référence pour l'immobilier en France. Des données récupéré comme le téléphone, prix, surface, adresse, date publication, description etc
- **URL**: https://apify.com/saswave/bien-ici-scraper.md
- **Developed by:** [SASWAVE](https://apify.com/saswave) (community)
- **Categories:** Real estate, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.90 / 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/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
### Bien ici Scraper
Outil extracteur de données immobilières performant Bienici.com, le portail cartographique de référence pour l'immobilier en France.
Scraper permet de capturer les annonces de vente (buy) et de location (rent) en extrayant non seulement les prix et les surfaces, mais aussi les informations de quartier détaillées indispensables pour l'analyse géolocalisée.
### Fonctionnalités
Extraction Cartographique & Géolocalisée : Récupération fine des données de quartier (district) incluant le nom de la zone, le code INSEE et l'identifiant du polygone de carte.
Analyse de Prix Avancée : Calcul automatique du prix au mètre carré (pricePerSquareMeter) et détection des baisses de prix (priceHasDecreased).
Suivi de l'État du Marché : Suivi en temps réel de la disponibilité du bien via les indicateurs de statut (onTheMarket, closedByUser).
Informations de l'Annonceur : Identification du type de compte (agency ou particulier), du numéro de téléphone de l'agence (phonenumber), et détection des exclusivités de la plateforme (isBienIciExclusive).
Détails Techniques du Bien : Capture précise du nombre de pièces (roomsQuantity), de chambres (bedroomsQuantity), de la date de modification, et présence éventuelle de modélisations 3D (with3dModel).
Liens Médias : Extraction de la liste complète des images HD hébergées directement par Bien'ici.
### Cas D'usages
Évaluation Immobilière Précise (CMA) : Idéal pour construire des modèles d'évaluation comparative de marché en se basant sur le prix moyen au mètre carré par micro-quartier.
Prospection pour Professionnels (Pigée) : Permet aux agences concurrentes d'identifier les biens sous mandat d'agence (grâce au seller_id) ou vendus par des agents commerciaux indépendants cités dans la description.
Veille d'Opportunités d'Achat : Filtrez instantanément les annonces contenant des opportunités spécifiques dans la description (ex: travaux d'isolation extérieure ou de ravalement déjà payés par le vendeur).
Analyse Tendancielle du Marché : Cartographiez la fraîcheur du marché immobilier en croisant les dates de modification (modificationDate) avec les zones géographiques prioritaires.
### Output
```json
{
"city": "Plaisir",
"postalCode": "78370",
"chargingStations": {
"providers": []
},
"id": "era-2-60286151",
"adType": "buy",
"propertyType": "flat",
"reference": "PB124",
"description": "RAVALEMENT AVEC ISOLATION THERMIQUE EXTÉRIEURE VOTÉE ET PAYÉE PAR LE VENDEUR
DPE PROJETÉ APRES TRAVAUX : D
Dans une résidence calme, familiale et verdoyante, à deux pas des commerces, écoles et bus ( gare de Plaisir Grignon - ligne N - train semi direct Paris-Montparnasse en 25 min - à 15 min à pied et 5 min en bus ),
grand appartement de 2 pièces comprenant entrée avec placards, cuisine équipée, séjour exposé PLEIN SUD, une chambre, salle de douches, buanderie et wc indépendant. Cave. Stationnement libre dans la résidence
L'appartement est équipé de fenêtres double vitrage PVC récentes, il a intégralement été repeint par des professionnels avant la vente, et le parquet a été poncé et revitrifié.
Les charges comprennent chauffage, eau, entretien des communs et espaces verts. (5.80 % d'honoraires TTC à la charge de l'acquéreur.)
Copropriété de 318 lots - dont 134 lots habitation. (Pas de procédure en cours).
Charges annuelles : 2470.00 euros. Sandra BOLLÉ (EI) Agent Commercial - Numéro RSAC : 535134332 - VERSAILLES.",
"title": "APPARTEMENT DE 2 PIECES A VENDRE A PLAISIR - CENTRE VILLE",
"publicationDate": "1970-01-01T00:00:00.000Z",
"modificationDate": "2026-07-02T16:48:55.695Z",
"newProperty": false,
"accountType": "agency",
"isBienIciExclusive": false,
"price": 155000,
"surfaceArea": 46.88,
"roomsQuantity": 2,
"bedroomsQuantity": 1,
"adCreatedByPro": true,
"district": {
"id_polygone": 110537,
"id_type": 1,
"name": "Plaisir - Centre-ville - Château",
"libelle": "Centre-ville - Château",
"cp": "78370",
"code_insee": "78490",
"id": 110537,
"insee_code": "78490",
"postal_code": "78370",
"type_id": 1
},
"status": {
"onTheMarket": true,
"closedByUser": false,
"autoImported": true,
"isLeading": false,
"highlighted": false,
"is3dHighlighted": false
},
"departmentCode": "78",
"addressKnown": true,
"displayDistrictName": true,
"pricePerSquareMeter": 3125,
"priceHasDecreased": false,
"transactionType": "buy",
"adTypeFR": "vente",
"with3dModel": false,
"endOfPromotedAsExclusive": 0,
"seller_id": "era-2-42287",
"url": "https://www.bienici.com/annonce/era-2-60286151",
"photos": [
"https://file.bienici.com/photo/era-2-60286151_media.immo-facile.com_office8_era_limmo_elancourt_catalog_images_pr_p_6_0_2_8_6_1_5_1_60286151a.jpg_DATEMAJ_28_03_2026-14_21_28",
"https://file.bienici.com/photo/era-2-60286151_media.immo-facile.com_office8_era_limmo_elancourt_catalog_images_pr_p_6_0_2_8_6_1_5_1_60286151b.jpg_DATEMAJ_28_03_2026-14_21_28",
"https://file.bienici.com/photo/era-2-60286151_media.immo-facile.com_office8_era_limmo_elancourt_catalog_images_pr_p_6_0_2_8_6_1_5_1_60286151c.jpg_DATEMAJ_28_03_2026-14_21_28",
"https://file.bienici.com/photo/era-2-60286151_media.immo-facile.com_office8_era_limmo_elancourt_catalog_images_pr_p_6_0_2_8_6_1_5_1_60286151d.jpg_DATEMAJ_28_03_2026-14_21_28",
"https://file.bienici.com/photo/era-2-60286151_media.immo-facile.com_office8_era_limmo_elancourt_catalog_images_pr_p_6_0_2_8_6_1_5_1_60286151e.jpg_DATEMAJ_28_03_2026-14_21_28",
"https://file.bienici.com/photo/era-2-60286151_media.immo-facile.com_office8_era_limmo_elancourt_catalog_images_pr_p_6_0_2_8_6_1_5_1_60286151f.jpg_DATEMAJ_28_03_2026-14_21_28",
"https://file.bienici.com/photo/era-2-60286151_media.immo-facile.com_office8_era_limmo_elancourt_catalog_images_pr_p_6_0_2_8_6_1_5_1_60286151g.jpg_DATEMAJ_28_03_2026-14_21_28",
"https://file.bienici.com/photo/era-2-60286151_media.immo-facile.com_office8_era_limmo_elancourt_catalog_images_pr_p_6_0_2_8_6_1_5_1_60286151h.jpg_DATEMAJ_28_03_2026-14_21_28"
],
"phonenumber": "+33186613657"
}
````
### 🛟 SUPPORT
Share your runs with the developer team and create issues on error to help us improve actor quality.
You might discover edge case we didn't test yet
We stay available anytime
# Actor input Schema
## `postal_codes` (type: `array`):
Liste des code postal pour 1 recherche
## `search_type` (type: `string`):
Sélectioner le type de recherche
## `property_type` (type: `array`):
Sélection multiple
## `new_property` (type: `string`):
Sélectioner 1 option
## `order` (type: `string`):
Sélectioner le type de vendeur
## `include_phone` (type: `boolean`):
Si vrai, téléphone récupérer avec un run un peu plus long et un cout supplémentaire
## `max_pages` (type: `integer`):
No description
## `price_min` (type: `integer`):
No description
## `price_max` (type: `integer`):
No description
## `area_min` (type: `integer`):
No description
## `area_max` (type: `integer`):
No description
## Actor input object example
```json
{
"postal_codes": [
"75009"
],
"search_type": "rent",
"property_type": [
"house",
"flat"
],
"new_property": "",
"order": "relevance_desc",
"include_phone": false,
"max_pages": 1,
"price_min": 0,
"price_max": 0,
"area_min": 0,
"area_max": 0
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# 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 = {
"postal_codes": [
"75009"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("saswave/bien-ici-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 = { "postal_codes": ["75009"] }
# Run the Actor and wait for it to finish
run = client.actor("saswave/bien-ici-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 '{
"postal_codes": [
"75009"
]
}' |
apify call saswave/bien-ici-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=saswave/bien-ici-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Bien Ici Scraper",
"description": "$1 / 1000 résulats. Extraire les données immobilières Bienici.com, le portail cartographique de référence pour l'immobilier en France. Des données récupéré comme le téléphone, prix, surface, adresse, date publication, description etc",
"version": "0.0",
"x-build-id": "LjSDiTJzzt91n42Td"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/saswave~bien-ici-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-saswave-bien-ici-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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/saswave~bien-ici-scraper/runs": {
"post": {
"operationId": "runs-sync-saswave-bien-ici-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/saswave~bien-ici-scraper/run-sync": {
"post": {
"operationId": "run-sync-saswave-bien-ici-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",
"required": [
"postal_codes"
],
"properties": {
"postal_codes": {
"title": "Code Postal",
"type": "array",
"description": "Liste des code postal pour 1 recherche",
"items": {
"type": "string"
}
},
"search_type": {
"title": "Search Type",
"enum": [
"buy",
"rent"
],
"type": "string",
"description": "Sélectioner le type de recherche",
"default": "rent"
},
"property_type": {
"title": "Type de bien",
"type": "array",
"description": "Sélection multiple",
"items": {
"type": "string",
"enum": [
"house",
"flat",
"parking",
"terrain",
"loft",
"shop",
"building",
"castle",
"premises",
"office",
"townhouse",
"others"
],
"enumTitles": [
"Maison",
"Appartement",
"Parking / Box",
"Terrain",
"Loft / Atelier / Surface",
"Fonds de commerce",
"Bâtiment / Immeuble",
"Château",
"Local commercial",
"Bureaux",
"Hôtel particulier",
"Autres"
]
},
"default": [
"house",
"flat"
]
},
"new_property": {
"title": "Acheter dans le",
"enum": [
"",
"new",
"old"
],
"type": "string",
"description": "Sélectioner 1 option",
"default": ""
},
"order": {
"title": "Ordonnée par",
"enum": [
"publicationDate_desc",
"relevance_desc",
"surfaceArea_asc",
"surfaceArea_desc",
"price_asc",
"price_desc",
"pricePerSquareMeter_asc",
"pricePerSquareMeter_desc"
],
"type": "string",
"description": "Sélectioner le type de vendeur",
"default": "relevance_desc"
},
"include_phone": {
"title": "Inclure le téléphone",
"type": "boolean",
"description": "Si vrai, téléphone récupérer avec un run un peu plus long et un cout supplémentaire",
"default": false
},
"max_pages": {
"title": "Max Pages",
"minimum": 1,
"type": "integer",
"description": "",
"default": 1
},
"price_min": {
"title": "Prix Minimum",
"minimum": 0,
"type": "integer",
"description": "",
"default": 0
},
"price_max": {
"title": "Prix Maximum",
"minimum": 0,
"type": "integer",
"description": "",
"default": 0
},
"area_min": {
"title": "Surface Minimum",
"minimum": 0,
"type": "integer",
"description": "",
"default": 0
},
"area_max": {
"title": "Surface Maximum",
"minimum": 0,
"type": "integer",
"description": "",
"default": 0
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```