# Seloger Scraper (`saswave/seloger-scraper`) Actor
$0.7 / 1000 résulats. Données immobilières de précision conçu pour SeLoger.com, la plateforme leader des annonces immobilières en France. Collecter de manière automatisée l'ensemble des données des annonces de location et de vente (résidentiel et commercial). Simplifier suivi des dernières annonces
- **URL**: https://apify.com/saswave/seloger-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 $0.70 / 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
### Seloger Scraper
Outil extraction de données immobilières de précision conçu pour SeLoger.com, la plateforme leader des annonces immobilières en France.
Permet de collecter de manière automatisée l'ensemble des métadonnées techniques des annonces de location et de vente (résidentiel et commercial) afin d'analyser le marché en temps réel.
Simplifier votre suivi des dernières annonces publié
### Fonctionnalités
Extraction Complète des Métadonnées : Capture des caractéristiques clés comme la surface (space), le nombre de pièces (nb_rooms), de chambres (nb_bedrooms) et l'étage.
Diagnostic de Performance Énergétique (DPE) : Extraction automatique de la classe énergie (energyClass / energy_letter) pour filtrer les biens selon les normes environnementales actuelles.
Données de Transport Détaillées : Récupération des lignes de métro, de bus et de train les plus proches (closestLines) pour évaluer l'accessibilité du bien.
Informations Professionnelles & Agences : Identification complète de l'annonceur (publisherType), incluant le nom de l'agence, l'adresse, le numéro de téléphone (phoneNumbers) et les mentions légales SIRET/RCS.
Géolocalisation & Adresses : Suivi de la précision de l'emplacement (product_geolocation) et récupération du code postal ou du quartier précis.
Historique des Prix & Statuts : Suivi du prix (price), de la description des charges (price_label_desc) ainsi que des dates de création et de mise à jour de l'annonce.
### Cas D'usages
Veille Concurrentielle Immobilière : Permet aux agences immobilières et aux mandataires de suivre l'évolution des prix au mètre carré par quartier ou par arrondissement.
Analyse d'Investissement Locatif : Idéal pour les investisseurs et les chasseurs de biens cherchant à repérer les opportunités à forte rentabilité ou à cibler les passoires thermiques (DPE G/F) à rénover.
Alimentation de Portails et d'Agrégateurs : Centralisez et injectez des flux de données qualifiés directement dans vos propres applications, plateformes de scoring ou cartes interactives.
Suivi des Mandats Exclusifs : Analysez le taux d'exclusivité du marché et identifiez les biens d'exception dès leur mise en ligne.
### Output
```json
{
"id": "269GU4RNTF3L",
"status": "Published",
"energyClass": "D",
"type": "PROFESSIONAL",
"url": "https://www.seloger.com/annonces/locations/appartement/paris-75/271916495.htm",
"tags": {
"isExclusive": false,
"has3DVisit": false,
"hasBrokerageFee": false,
"isNew": false
},
"legacy_id": "271916495",
"creation_date": "2026-06-12T13:59:00Z",
"update_date": "2026-06-15T00:41:20.608Z",
"address": {
"country": "FRA",
"city": "Paris 9ème arrondissement",
"zipCode": "75009"
},
"is_address_published": true,
"transport": {
"closestLines": {
"metro": [
"2",
"3",
"12",
"13",
"14"
],
"bus": [
"20",
"21",
"22",
"26",
"27",
"29",
"30",
"32",
"42",
"43",
"53",
"66",
"68",
"80",
"94",
"95",
"528"
],
"train": [
"J",
"L"
]
}
},
"title": "Appartement à louer",
"highlight": [
"2 pièces",
"1 chambre",
"38 m²",
"2ème étage"
],
"price_label_desc": "charges comprises",
"images": [
"https://mms.seloger.com/3/3/2/2/3322ff00-f636-497e-8bc7-6f9a85a890a5.jpg?ci_seal=55b6d7a60ac0035ed06d71af4c10442f0384d942",
"https://mms.seloger.com/6/2/7/2/62725dd1-441b-4b00-9a42-9ff20cfdd479.jpg?ci_seal=92a82a73422162cb8286dd2c855f3f6b73924d7b",
"https://mms.seloger.com/3/6/8/7/36873da6-7d95-4a3b-990b-fa77430e2c66.jpg?ci_seal=3a82b6c8bb10b6d58bdc755a4f8a980a3d7db7cb",
"https://mms.seloger.com/4/1/e/f/41efed17-6b62-40d8-b031-ba4478143861.jpg?ci_seal=96baf5f7020c6e1b4f9de0351605ba5978cf3f68",
"https://mms.seloger.com/0/c/3/f/0c3fe94f-61c5-4045-85df-93d1d0473dd1.jpg?ci_seal=94afd2c003da4c8e48bcaae22b14d123aa0df8e7",
"https://mms.seloger.com/7/0/0/8/70082ab7-5278-4ad3-8313-360765354089.jpg?ci_seal=f31c1cd6c47a251c51e3902c330848f4643fec77"
],
"client_id": "RC-089530",
"client_type": "pro",
"distribution_type": "1",
"energy_letter": "D",
"estate_postalcode": "75009",
"estate_type": "av_2",
"id_duo": 271916495,
"id_solo": 271916495,
"list_name": "classified_detail_similars_bottom",
"media": 0,
"nb_bedrooms": 1,
"nb_rooms": 2,
"parent_site": "SL",
"photos_nb": 6,
"position": 0,
"price": 2150,
"product_geolocation": "localisation_street",
"product_type": "standard",
"product_variant": "classified",
"space": 38,
"name": "classified",
"country": "France",
"city": "Paris",
"region": "Ile-de-France",
"zip_code": "75009",
"building_state": "REFURBISHED",
"energy_certificate": "D",
"seller": {
"intermediaryCard": {
"title": "HOUSE PARTNERS",
"subtitle": "Proposé par une agence immobilière",
"display": true,
"logoUrl": "https://mms.seloger.com/b/9/3/d/b93d831b-81e7-497f-a56f-7cf84666fd92.jpg?ci_seal=0651e9fbd2113432fd19d0e63e7c9e5d2615a8c5",
"logoHref": "https://www.seloger.com/professionnels-immobilier/QvuPW5xLsJPmjQKJg2ib3Q"
},
"contactCard": {
"title": "Natasha",
"subtitle": "Votre contact",
"display": true,
"logoUrl": null
},
"website": "http://www.housepartners.immo/",
"isPrivateOwner": false,
"profileUrl": "https://www.seloger.com/professionnels-immobilier/QvuPW5xLsJPmjQKJg2ib3Q",
"imprintUrl": null,
"agencyLegalInformations": [
"SAS L'IMMOBILIERE DE RUEIL au capital de 8 000 €",
"Siège: 2 Avenue Georges Clemenceau, 92500 RUEIL MALMAISON",
"RCS: NANTERRE 832740120",
"SIRET: 83274012000015"
],
"publisherType": "AGENCY",
"displayLinks": true,
"address": "2 AVENUE GEORGES CLEMENCEAU, 92500 RUEIL MALMAISON",
"phoneNumbers": [
"0148740909"
],
"agencyStrip": {
"agencyColor": "#103030",
"fontColor": "#FFFFFF"
}
},
"headline_description": "2P LIEGE",
"text_description": "Quartier Europe / Nouvelle Athènes. Dans un ancien hôtel particulier de grand standing. Grand 2 pièces comprenant bel espace cuisine ouverte entièrement équipée, séjour , grande chambre avec dressing et literie d'hôtel, salle de bains avec WC. Appartement d'exception, refait à neuf, entièrement équipé avec prestations et mobilier haut de gamme. Très belles parties communes, service conciergerie, domotique, double vitrage, chauffage central. Baigné de lumière. A Proximité immédiate du quartier d...",
"offererMarketingKey": "LIEGE",
"providercity": "RUEIL MALMAISON",
"providerzipcode": "92500",
"surface": {
"main": 38,
"plot": null
},
"nbroom": 2,
"nbbedroom": 1,
"contactLocationEnabled": false,
"propertyTypeLabel": "Appartement"
}
````
### 🛟 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
## `sold_by` (type: `string`):
Sélectioner le type de vendeur
## `order` (type: `string`):
Sélectioner le type de vendeur
## `max_pages` (type: `integer`):
No description
## `price_min` (type: `integer`):
No description
## `price_max` (type: `integer`):
No description
## `space_min` (type: `integer`):
No description
## `space_max` (type: `integer`):
No description
## `buy_category` (type: `string`):
Sélectioner le type
## `buy_res_project` (type: `array`):
Sélection multiple
## `rent_category` (type: `string`):
Sélectioner le type
## `rent_res_project` (type: `array`):
Sélection multiple
## Actor input object example
```json
{
"postal_codes": [
"75009"
],
"search_type": "Rent",
"sold_by": "",
"order": "DateDesc",
"max_pages": 1,
"price_min": 0,
"price_max": 0,
"space_min": 0,
"space_max": 0,
"buy_category": "Apartment",
"buy_res_project": [
"Resale",
"New_Build",
"Projected",
"Life_Annuity"
],
"rent_category": "Apartment",
"rent_res_project": [
"Stock",
"Flatsharing"
]
}
```
# 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/seloger-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/seloger-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/seloger-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=saswave/seloger-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Seloger Scraper",
"description": "$0.7 / 1000 résulats. Données immobilières de précision conçu pour SeLoger.com, la plateforme leader des annonces immobilières en France. Collecter de manière automatisée l'ensemble des données des annonces de location et de vente (résidentiel et commercial). Simplifier suivi des dernières annonces",
"version": "0.0",
"x-build-id": "CnDPHpEgqSu9mc1wL"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/saswave~seloger-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-saswave-seloger-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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~seloger-scraper/runs": {
"post": {
"operationId": "runs-sync-saswave-seloger-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~seloger-scraper/run-sync": {
"post": {
"operationId": "run-sync-saswave-seloger-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"
},
"sold_by": {
"title": "Vendu Par",
"enum": [
"",
"Professional",
"Private"
],
"type": "string",
"description": "Sélectioner le type de vendeur",
"default": ""
},
"order": {
"title": "Ordonnée par",
"enum": [
"Default",
"DateDesc",
"PriceAsc",
"PriceDesc",
"PricePerSquareMeterAsc",
"PricePerSquareMeterDesc",
"NumberOfRoomsAsc",
"NumberOfRoomsDesc",
"SpaceAsc",
"SpaceDesc"
],
"type": "string",
"description": "Sélectioner le type de vendeur",
"default": "DateDesc"
},
"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
},
"space_min": {
"title": "Surface Minimum",
"minimum": 0,
"type": "integer",
"description": "",
"default": 0
},
"space_max": {
"title": "Surface Maximum",
"minimum": 0,
"type": "integer",
"description": "",
"default": 0
},
"buy_category": {
"title": "Category Achat",
"enum": [
"House",
"Apartment",
"Building",
"Plot",
"Parking",
"Miscellaneous",
"Office",
"Trading",
"Gastronomy_Hotel",
"Storage_Production",
"Agriculture_Forestry"
],
"type": "string",
"description": "Sélectioner le type",
"default": "Apartment"
},
"buy_res_project": {
"title": "Projet Residentiel Achat",
"type": "array",
"description": "Sélection multiple",
"items": {
"type": "string",
"enum": [
"Resale",
"New_Build",
"Projected",
"Life_Annuity"
],
"enumTitles": [
"Ancien",
"Immo Neuf",
"Projet Construction",
"Viager"
]
},
"default": [
"Resale",
"New_Build",
"Projected",
"Life_Annuity"
]
},
"rent_category": {
"title": "Category Louer",
"enum": [
"House",
"Apartment",
"Plot",
"Parking",
"Miscellaneous",
"Office",
"Trading",
"Gastronomy_Hotel",
"Storage_Production",
"Agriculture_Forestry"
],
"type": "string",
"description": "Sélectioner le type",
"default": "Apartment"
},
"rent_res_project": {
"title": "Projet Residentiel Louer",
"type": "array",
"description": "Sélection multiple",
"items": {
"type": "string",
"enum": [
"Stock",
"Flatsharing"
],
"enumTitles": [
"Location Classique",
"Colocation"
]
},
"default": [
"Stock",
"Flatsharing"
]
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```