SeLoger.com Property Search Scraper: Extract French Real Estate Market Data

Understanding SeLoger.com and the Value of Its Data

SeLoger.com stands as one of France's most trusted and widely-used real estate platforms, connecting millions of property seekers with sellers, agents, and developers across the country. Launched in 1992, the platform has evolved into a comprehensive marketplace covering residential sales, rentals, and new developments throughout France and Monaco.

What makes SeLoger.com particularly valuable is its extensive coverage of the French property market. The platform aggregates listings from thousands of real estate agencies, individual sellers, and property developers, providing a near-complete picture of available properties in any given region. From Parisian apartments to Provençal villas, coastal properties to mountain chalets, SeLoger.com captures the diversity and dynamism of French real estate.

For property investors, real estate professionals, and market analysts, this data represents critical intelligence. Understanding pricing trends, feature preferences, geographic hotspots, and inventory levels informs strategic decisions worth millions of euros. However, manually reviewing hundreds or thousands of property listings to extract meaningful patterns is practically impossible. The SeLoger.com Property Search Scraper automates this process, transforming scattered listing pages into structured, analyzable datasets that reveal market insights previously accessible only to major real estate networks.

Core Functionality and Target Users

The SeLoger.com Property Search Scraper efficiently extracts detailed information from property search result pages on the platform. Unlike basic scrapers that capture only surface-level data, this tool delves deep into each listing to retrieve comprehensive property details, seller information, location data, and visual assets.

The scraper handles SeLoger.com's complex page structure, including dynamic content loading and various listing formats. It captures data from multiple transaction types—sales, auctions, and compulsory auctions—and various property categories including houses, apartments, land, commercial properties, and new developments. The tool respects pagination, automatically navigating through search results to collect the specified number of listings per URL.

This scraper serves diverse professional needs across the real estate ecosystem. Property investors use it to identify undervalued opportunities, track price movements, and analyze market supply in target regions. Real estate agencies leverage the data for competitive analysis, understanding how their listings compare to market averages in pricing, features, and presentation. Property developers monitor demand patterns, popular features, and pricing trends to inform new project planning.

Market research firms and financial analysts utilize the scraper to generate comprehensive market reports, tracking regional variations, seasonal trends, and the impact of economic factors on property values. PropTech companies integrate this data into their platforms, offering enhanced search capabilities, price prediction models, or automated valuation tools. Even individual property buyers can use the data to make informed decisions, understanding fair market values before negotiating purchases.

Input Configuration and Parameters

The scraper accepts SeLoger.com search result URLs as primary input. These URLs are generated when you perform a property search on the platform using filters like location, property type, transaction type, price range, and other criteria. The URL structure captures all your search parameters, allowing the scraper to extract exactly the subset of properties you're interested in.

Here's a detailed breakdown of the input configuration:

{
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  },
  "max_items_per_url": 20,
  "ignore_url_failures": true,
  "urls": [
    "https://www.seloger.com/classified-search?distributionTypes=Buy,Buy_Auction,Compulsory_Auction&estateTypes=House,Apartment&locations=AD08FR31096&order=Default&m=homepage_new_search_classified_search_result"
  ]
}

Example Screenshot:

Proxy Configuration: The proxy object ensures reliable data collection. Using residential proxies (RESIDENTIAL) makes your requests appear as normal user traffic, significantly reducing the risk of detection or blocking. While you can select different proxy countries, using French (FR) or European proxies typically provides better performance and more accurate results when scraping French real estate sites.

Max Items Per URL: The max_items_per_url parameter controls how many property listings to extract from each search URL. Setting this to 20 means the scraper will collect up to 20 properties from the search results. You can adjust this based on your needs—use smaller numbers for quick samples or larger numbers (50-100+) for comprehensive market analysis. Keep in mind that higher numbers increase execution time and computational costs.

Ignore URL Failures: When ignore_url_failures is set to true, the scraper continues processing even if some URLs fail to load. This is particularly useful when scraping multiple search URLs—one problematic URL won't halt your entire data collection. If you need to ensure every URL processes successfully, set this to false to receive error notifications.

URLs Array: Include one or more SeLoger.com search URLs. The example URL shows a search for houses and apartments available for purchase (including auctions) in a specific French location. You can generate these URLs by:

1. Visiting SeLoger.com
2. Using the search filters to define your criteria (location, property type, price range, etc.)
3. Copying the resulting URL from your browser's address bar
4. Pasting it into the urls array

You can include multiple search URLs to scrape different regions, property types, or price ranges in a single run. For example, you might include separate URLs for Paris apartments, Lyon houses, and Marseille commercial properties to build a comprehensive multi-city dataset.

Output Structure and Data Fields Explained

The scraper returns comprehensive property data organized into logical groups. Each property listing becomes a structured object containing all extractable information from SeLoger.com.

Brand: Identifies the real estate agency or platform brand associated with the listing. This helps you understand which agencies dominate specific markets or track listings from particular networks.

ID: The unique property identifier assigned by SeLoger.com. This field is crucial for tracking individual properties over time, detecting price changes, or removing duplicate listings when combining data from multiple scrapes.

Status: Indicates the listing's current availability status (active, sold, rented, withdrawn). This field helps filter your dataset to focus only on currently available properties or analyze how quickly properties sell in different areas.

Metadata: Contains technical information about the listing, including publication date, last update timestamp, and listing type. This temporal data enables analysis of market velocity, seasonal patterns, and listing freshness.

Location: Provides comprehensive geographic information including full address (when available), city, postal code, department, region, and standardized location codes. SeLoger.com uses France's official geographic coding system (INSEE codes), making this data highly reliable for mapping and regional analysis. The location data enables sophisticated geographic analysis, such as identifying property clusters, calculating average prices by neighborhood, or mapping price gradients from city centers.

Hard Facts: Contains quantifiable property characteristics including number of rooms, bedrooms, bathrooms, total surface area (in square meters), land size (for houses), floor number, total floors in building, construction year, and energy performance ratings (DPE). These structured fields are invaluable for comparative analysis, filtering properties by specific criteria, or building predictive pricing models.

Gallery: Provides URLs to all property images, including photos, floor plans, and virtual tour links. These visual assets are essential for creating property presentations, training image recognition models, or analyzing how photo quality correlates with pricing or sale velocity.

Tracking: Includes analytics and engagement data such as view counts, favorite counts, and listing performance metrics. This information reveals which properties attract the most interest, helping identify market preferences or successful listing strategies.

Provider: Contains detailed information about the property seller—whether it's a real estate agency (with company name, address, and professional registration numbers), a developer, or a private individual. This data helps assess listing credibility, identify major market players, or analyze which agencies serve specific regions.

Card Provider: Captures the specific agent or contact person for the listing, including their name and contact details. This field facilitates direct outreach for properties of interest.

Main Description: The full property description text as written by the seller or agent. This rich text data can be analyzed for keywords, sentiment, writing quality, or used to train natural language models. The description typically includes property highlights, neighborhood information, nearby amenities, and special features.

Type: Categorizes the property (apartment, house, land, parking, commercial, etc.) and transaction type (sale, rental, new development). This structured classification enables quick filtering and segmentation of your dataset.

URL: The direct link to the full property listing page on SeLoger.com. Essential for verification, sharing interesting properties, or conducting follow-up detailed analysis.

Portal: Identifies the specific SeLoger.com portal or sub-site where the listing appears (main site, luxury portal, new developments section). Different portals often serve different market segments.

Raw Data: Contains the complete unprocessed JSON data returned by SeLoger.com's backend systems. This field preserves all information even if the scraper's main fields don't capture every detail, allowing for custom data extraction later.

Tags: An array of labels and features associated with the property (e.g., "balcony", "parking", "elevator", "renovated", "sea view"). These tags enable advanced filtering and feature-based analysis, such as determining how much premium features add to property prices.

Display: Contains presentation-related information including featured status, highlight markers, and promotional badges that agencies use to make their listings stand out. This metadata can reveal marketing strategies or identify properties receiving special promotion.

Here's a representative example of the output data:

[
    {
  "brand": "seloger",
  "id": "25QX3HIQC1CG",
  "status": "Published",
  "metadata": {
    "id": "25QX3HIQC1CG",
    "legacy_id": "255774023",
    "creation_date": "2025-12-03T20:37:00Z",
    "update_date": "2025-12-03T20:41:04.876Z",
    "status": {
      "status": true,
      "enrichments": {
        "contact_settings": false,
        "geo": false,
        "intermediary": false,
        "media": false,
        "online_id": false
      }
    }
  },
  "location": {
    "address": {
      "country": "FRA",
      "city": "Paris 6ème",
      "zip_code": "75006",
      "district": "Monnaie"
    },
    "is_address_published": true,
    "transport": {
      "closest_lines": [
        {
          "type": "METRO",
          "lines": [
            {
              "name": "4",
              "color": "#c800a1"
            },
            {
              "name": "10",
              "color": "#c69214"
            }
          ]
        },
        {
          "type": "BUS",
          "lines": [
            {
              "name": "21",
              "color": "#77c695"
            },
            {
              "name": "24",
              "color": "#a0006e"
            },
            {
              "name": "27",
              "color": "#f68f4b"
            },
            {
              "name": "38",
              "color": "#006cb8"
            },
            {
              "name": "39",
              "color": "#a0006e"
            },
            {
              "name": "58",
              "color": "#00643c"
            },
            {
              "name": "63",
              "color": "#cec92a"
            },
            {
              "name": "70",
              "color": "#f68f4b"
            },
            {
              "name": "84",
              "color": "#d282be"
            },
            {
              "name": "85",
              "color": "#5a230a"
            },
            {
              "name": "86",
              "color": "#ed1b2a"
            },
            {
              "name": "87",
              "color": "#62259d"
            },
            {
              "name": "95",
              "color": "#62259d"
            },
            {
              "name": "96",
              "color": "#dc9609"
            }
          ]
        }
      ]
    }
  },
  "hard_facts": {
    "title": "Duplex à vendre",
    "keyfacts": [
      "2 pièces",
      "1 chambre",
      "54 m²",
      "Étage 3/5"
    ],
    "facts": [
      {
        "type": "numberOfRooms",
        "value": "2 pièces",
        "split_value": "2",
        "label": "pièces"
      },
      {
        "type": "numberOfBedrooms",
        "value": "1 chambre",
        "split_value": "1",
        "label": "chambre"
      },
      {
        "type": "livingSpace",
        "value": "54 m²",
        "split_value": "54",
        "label": "m²"
      },
      {
        "type": "numberOfFloors",
        "value": "Étage 3/5",
        "split_value": "Étage",
        "label": "3/5"
      }
    ],
    "price": {
      "value": "850 000 €",
      "formatted": "850 000 €",
      "additional_information": "15 741 €/m²",
      "addition": {
        "value": "15 741 €/m²",
        "aria_label": "15740,74 euros par mètre carré"
      },
      "financial_link": {
        "href": "https://e-immobilier.credit-agricole.fr/pret/lp_acquisition.html?ORI=EDESLAT&at_medium=affiliation&at_campaign=EDE_PC_EMP_EIMMO_FR&at_presta=SeLoger&at_format=Lien_PDD",
        "label": "Demander un financement",
        "partner_name": "CA"
      },
      "aria_label": "850000 €"
    }
  },
  "gallery": {
    "images": [
      {
        "key": "88bdae9d-7298-48a4-9262-d8f27e5f5886",
        "url": "https://mms.seloger.com/8/8/b/d/88bdae9d-7298-48a4-9262-d8f27e5f5886.jpg?ci_seal=546530284afb80267f7d47c91b924894a7d2fa51",
        "alt": "Duplex à vendre 850 000 € 2 pièces 1 chambre 54 m² Étage 3/5 Monnaie Paris 6ème 75006",
        "classification": {
          "name": "LIVING_ROOM",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "f9996641-4cc5-4e29-a133-26f79f1a0c74",
        "url": "https://mms.seloger.com/f/9/9/9/f9996641-4cc5-4e29-a133-26f79f1a0c74.jpg?ci_seal=45f587b2a2bdd7b1dd8642a81cae87f0ccf964d8",
        "classification": {
          "name": "LIVING_ROOM",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "e8a62450-502d-4334-a0ab-493f5e2a139c",
        "url": "https://mms.seloger.com/e/8/a/6/e8a62450-502d-4334-a0ab-493f5e2a139c.jpg?ci_seal=c6a8d2290d2a89808974e6d9a63557fc117cb31b",
        "classification": {
          "name": "LIVING_ROOM",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "557e2a5d-9435-4dce-b07b-7d2ae4537ec9",
        "url": "https://mms.seloger.com/5/5/7/e/557e2a5d-9435-4dce-b07b-7d2ae4537ec9.jpg?ci_seal=d296d087017f2b2863997b6253877aa107e8a0d9",
        "classification": {
          "name": "LIVING_ROOM",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "57656186-1e22-40b1-a056-65bf0d6b1f88",
        "url": "https://mms.seloger.com/5/7/6/5/57656186-1e22-40b1-a056-65bf0d6b1f88.jpg?ci_seal=63ae9879f06625b2a2e3fa57c3ce1ff159cb9eb9",
        "classification": {
          "name": "LIVING_ROOM",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "823732a2-e494-4bb5-b5b3-b2a2650a8750",
        "url": "https://mms.seloger.com/8/2/3/7/823732a2-e494-4bb5-b5b3-b2a2650a8750.jpg?ci_seal=2abd691dae1df5d2a8462213333e35136df0c670",
        "classification": {
          "name": "KITCHEN",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "2e71a4ff-f103-4cee-84bc-d96feebc9106",
        "url": "https://mms.seloger.com/2/e/7/1/2e71a4ff-f103-4cee-84bc-d96feebc9106.jpg?ci_seal=c7b96a436f740e5ca047223c348ae06a578dd344",
        "classification": {
          "name": "KITCHEN",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "f9898265-f95e-4ff1-a631-000680f7f009",
        "url": "https://mms.seloger.com/f/9/8/9/f9898265-f95e-4ff1-a631-000680f7f009.jpg?ci_seal=1a46c5eb588eb8be70def6a451f4758310d36b39",
        "classification": {
          "name": "BEDROOM",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "c8a7a4ab-c5c6-45f6-bb63-5e546d8815b3",
        "url": "https://mms.seloger.com/c/8/a/7/c8a7a4ab-c5c6-45f6-bb63-5e546d8815b3.jpg?ci_seal=8cc9c79b3ad6674908918427b62f618971ab1297",
        "classification": {
          "name": "COURTYARD",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "e854e105-1b62-4535-97e7-a94b8c074f72",
        "url": "https://mms.seloger.com/e/8/5/4/e854e105-1b62-4535-97e7-a94b8c074f72.jpg?ci_seal=477c235a41c4b534fefce92b22c1c58041a224c7",
        "classification": {
          "name": "COURTYARD",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "8404c81d-77ff-4dc2-b7f1-bc743a9c4029",
        "url": "https://mms.seloger.com/8/4/0/4/8404c81d-77ff-4dc2-b7f1-bc743a9c4029.jpg?ci_seal=294b87c6ae41162f44ef39b275a95e7c686505f2",
        "classification": {
          "name": "STAIRCASE",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "271f55dd-b6bb-48db-a547-165d3c175e98",
        "url": "https://mms.seloger.com/2/7/1/f/271f55dd-b6bb-48db-a547-165d3c175e98.jpg?ci_seal=cf7e2c045ed38f487cb0561b4ee82def9967ea47",
        "classification": {
          "name": "BATHROOM",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "635d6484-998a-4642-8d25-ac556634ba61",
        "url": "https://mms.seloger.com/6/3/5/d/635d6484-998a-4642-8d25-ac556634ba61.jpg?ci_seal=befc9fa1ecf9608ecdc7a0217db80e1e416a837c",
        "classification": {
          "name": "HALLWAY",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "5521d994-687f-4bb5-b77c-07132a6fcecf",
        "url": "https://mms.seloger.com/5/5/2/1/5521d994-687f-4bb5-b77c-07132a6fcecf.jpg?ci_seal=6556f1e83c9e5b218e0025ba4cff3ef22aa482a1",
        "classification": {
          "name": "BATHROOM",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "3b2e5654-f1b7-469c-82d8-1727801bf206",
        "url": "https://mms.seloger.com/3/b/2/e/3b2e5654-f1b7-469c-82d8-1727801bf206.jpg?ci_seal=81ac0e45d3743541affffd271317597ff408ccaf",
        "classification": {
          "name": "BATHROOM",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "2998a9da-c385-4695-b01b-ba1c5153523a",
        "url": "https://mms.seloger.com/2/9/9/8/2998a9da-c385-4695-b01b-ba1c5153523a.jpg?ci_seal=d442d11d8cccc1fc1179701dd493b1be5c5f4c71",
        "classification": {
          "name": "BATHROOM",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "c252736e-48cd-45d9-88b0-bdaced84b9c5",
        "url": "https://mms.seloger.com/c/2/5/2/c252736e-48cd-45d9-88b0-bdaced84b9c5.jpg?ci_seal=b34526d89080bd29c1be610d74e3800def59b410",
        "classification": {
          "name": "BATHROOM",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "f4726ede-0738-49b9-b5e0-d4603bcdf3c9",
        "url": "https://mms.seloger.com/f/4/7/2/f4726ede-0738-49b9-b5e0-d4603bcdf3c9.jpg?ci_seal=1545811a7c9c80c794ec5550b4d3b4a040309c49",
        "classification": {
          "name": "STAIRCASE",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "f03eb56a-e04e-4a6f-9d9d-2f4edda56bed",
        "url": "https://mms.seloger.com/f/0/3/e/f03eb56a-e04e-4a6f-9d9d-2f4edda56bed.jpg?ci_seal=f98ae4adfb408e31cae68bcac91b15f28fc98510",
        "classification": {
          "name": "STAIRCASE",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "fa696bb1-0f5d-4820-97da-07eae9c6a00f",
        "url": "https://mms.seloger.com/f/a/6/9/fa696bb1-0f5d-4820-97da-07eae9c6a00f.jpg?ci_seal=6aa66ce6633e000058f43058929f282ee618e05b",
        "classification": {
          "name": "BATHROOM",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "18a19ae7-a6ba-401d-8b0c-dd2936b6031d",
        "url": "https://mms.seloger.com/1/8/a/1/18a19ae7-a6ba-401d-8b0c-dd2936b6031d.jpg?ci_seal=ed8304621e0a64ea7e73912cc100c3aa61b25825",
        "classification": {
          "name": "BATHROOM",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      },
      {
        "key": "72720922-ef0d-4e02-a450-25d680ca99d9",
        "url": "https://mms.seloger.com/7/2/7/2/72720922-ef0d-4e02-a450-25d680ca99d9.jpg?ci_seal=898e639abeeafbaffdeb56a9bf073eac93282a70",
        "classification": {
          "name": "LOGO",
          "version": "scene-classification-sagemaker-endpoint-live-1-3-10"
        }
      }
    ],
    "available_features": {
      "floorplans": false,
      "virtual_tours": true
    }
  },
  "tracking": {
    "name": "classified",
    "list_name": "classified_detail_similars_bottom",
    "id": "25QX3HIQC1CG",
    "price": 850000,
    "estate_type": "av_2",
    "distribution_type": "2",
    "country": "France",
    "city": "Paris",
    "region": "Ile-de-France",
    "zip_code": "75006",
    "legacy_id": "255774023",
    "product_type": "standard",
    "client_id": "RC-069298",
    "energy_certificate": "C"
  },
  "provider": {
    "intermediary_card": {
      "title": "efficity   Boban Janevski",
      "subtitle": "Agence professionnelle",
      "display": true,
      "logo_url": "https://mms.seloger.com/e/8/b/6/e8b6b74d-ce5d-4aa7-9fe0-a159d578270f.jpg?ci_seal=bc499c061e5b288a406980132fa4514797013a89",
      "logo_href": "https://www.seloger.com/professionnels/agents-commerciaux/paris-1er-arrondissement-75001/agence-8173/"
    },
    "contact_card": {
      "title": "M. Boban Janevski",
      "subtitle": "Votre contact",
      "display": true,
      "logo_url": null
    },
    "website": "https://www.efficity.com/bjanevski",
    "is_private_owner": false,
    "profile_url": "https://www.seloger.com/professionnels/agents-commerciaux/paris-1er-arrondissement-75001/agence-8173/",
    "imprint_url": null,
    "fee_url": "http://diszln7ft1ccx.cloudfront.net/pdf/BAREME_NATIONAL.pdf",
    "agency_legal_informations": [
      "<b>RCS:</b> 818091886",
      "<b>SIRET:</b> 81809188600015"
    ],
    "publisher_type": "REAL_ESTATE_AGENT",
    "display_links": true,
    "address": "75001 Paris",
    "phone_numbers": [
      "06 29 57 79 54"
    ],
    "agency_strip": {
      "agency_color": "#50b030",
      "font_color": "#000000"
    }
  },
  "card_provider": {
    "title": "M. Boban Janevski",
    "subtitle": "Votre contact",
    "logo_url": null,
    "agency_strip": {
      "agency_color": "#50b030",
      "font_color": "#000000"
    }
  },
  "main_description": {
    "headline": "Appartement bourgeois",
    "description": "PARIS VIe - SAINT-GERMAIN-DES-PRÉS - DUPLEX TRAVERSANT CALME ET LUMINEUX REFAIT PAR ARCHITECTE - effiCity, l'agence qui estime votre bien en ligne, vous propose ce duplex de 53,62 m² (51,89M² Loi Car...",
    "metadata": {
      "language": "fr"
    }
  },
  "type": "PROFESSIONAL",
  "url": "https://www.seloger.com/annonces/achat/appartement/paris-6eme-75/monnaie/255774023.htm",
  "portal": "seloger",
  "raw_data": {
    "distribution_type": "BUY",
    "property_type": "APARTMENT",
    "geo_id_hierarchy": [
      {
        "id": "NBH2FR21",
        "type_key": "NBH2"
      },
      {
        "id": "AD09FR31",
        "type_key": "AD09"
      },
      {
        "id": "AD08FR31096",
        "type_key": "AD08"
      },
      {
        "id": "AD06FR76",
        "type_key": "AD06"
      },
      {
        "id": "AD04FR5",
        "type_key": "AD04"
      },
      {
        "id": "AD03FR2",
        "type_key": "AD03"
      },
      {
        "id": "AD02FR1",
        "type_key": "AD02"
      }
    ],
    "price": 850000,
    "offerer_marketing_key": "200799",
    "providercity": "Paris",
    "providerzipcode": "75001",
    "surface": {
      "main": 54,
      "plot": null
    },
    "nbroom": 2,
    "nbbedroom": 1,
    "contact_location_enabled": false
  },
  "tags": {
    "is_exclusive": true,
    "has3_d_visit": true,
    "has_brokerage_fee": false,
    "is_new": false,
    "is_hd_exclusive": false
  },
  "display": "classified",
  "from_url": "https://www.seloger.com/classified-search?distributionTypes=Buy,Buy_Auction,Compulsory_Auction&estateTypes=House,Apartment&locations=AD08FR31096&order=Default&m=homepage_new_search_classified_search_result"
}
]

Using the Scraper: Step-by-Step Guide

Start by accessing the SeLoger.com Property Search Scraper through the Apify platform. If you're new to Apify, create a free account to access the scraper and manage your data collection runs.

Before configuring your scraper, spend time on SeLoger.com defining your search criteria. Use the platform's filters to narrow down properties by location, price range, property type, size, and features. This focused approach yields more relevant data and reduces processing time. Once you've refined your search, copy the URL from your browser—this URL contains all your filter parameters encoded.

Configure your input JSON with the collected search URLs. Set max_items_per_url based on your needs—use 20-50 for quick market samples, 100-200 for neighborhood analysis, or higher numbers for comprehensive regional studies. Enable ignore_url_failures for robustness when scraping multiple searches.

Launch your scraping run and monitor its progress through the Apify console. Processing time varies with the number of items requested, but typically 100 properties take 5-10 minutes to scrape. The console displays real-time progress, showing how many properties have been successfully extracted.

Once complete, review your dataset in the Apify interface. Check that properties match your expected criteria and that key fields like location and price are populated correctly. Download your data in JSON format for programmatic analysis, CSV for spreadsheet work, or Excel for easy sharing with non-technical stakeholders.

For recurring analysis, set up scheduled runs to automatically scrape your target searches daily or weekly. This automated approach builds time-series datasets that reveal market trends, price movements, and inventory changes. Scheduled runs are particularly valuable for tracking specific neighborhoods where you're considering investment or monitoring competitor listings.

When errors occur, consult the run log for details. Common issues include outdated search URLs (if SeLoger.com changes its URL structure) or temporary platform outages. The scraper includes retry logic for transient failures, but persistent errors may require updating your search URLs or adjusting proxy settings.

Practical Applications and Market Intelligence

The structured property data from SeLoger.com enables powerful analysis across numerous real estate applications. Property investors use the data to identify undervalued opportunities by comparing similar properties across neighborhoods, detecting listings priced below market averages. By tracking listing durations and price adjustments, investors gauge seller motivation and negotiation opportunities.

Real estate agencies leverage competitor analysis to optimize their own listings. By examining how competing properties are priced, described, and photographed, agencies improve their marketing strategies. The data reveals which features command price premiums, how description length affects engagement, and which presentation styles generate the most views and favorites.

Market researchers build comprehensive regional reports by aggregating thousands of listings. Analysis of price per square meter across districts identifies emerging neighborhoods before they become mainstream. Tracking new listing volumes reveals supply patterns, while monitoring sold properties indicates demand strength. This intelligence informs development projects, investment strategies, and market entry decisions.

PropTech applications integrate SeLoger.com data to enhance their platforms. Automated valuation models (AVMs) use the comprehensive property features and prices to estimate property values. Search platforms combine SeLoger.com data with other sources to offer users more complete market coverage. Price prediction models use historical listing data to forecast future property values.

For price benchmarking, the combination of hard facts and asking prices provides concrete market references. Real estate professionals compare their properties against recent comparable sales (comps) based on location, size, features, and condition. Buyers use the data to determine fair offers, while sellers set realistic asking prices that reflect current market conditions.

Urban planning and policy analysis benefit from understanding property market dynamics. Geographic distribution of property types, price gradients from city centers, and availability of affordable housing all inform planning decisions. Researchers analyze how infrastructure projects, zoning changes, or economic shifts impact local property markets.

Maximizing Data Value and Best Practices

To extract maximum insight from SeLoger.com data, implement systematic collection and analysis practices. Schedule regular scraping runs to build longitudinal datasets that reveal temporal patterns. Weekly scraping captures most market changes while avoiding excessive data redundancy. For fast-moving markets like Paris, daily scraping may be warranted.

Enrich your SeLoger.com data with complementary sources. Combine it with demographic data from INSEE (France's statistics office) to understand population characteristics of different neighborhoods. Integrate transport data to calculate commute times. Add school ratings, crime statistics, or amenity locations to build comprehensive neighborhood profiles that explain price variations.

Implement data quality validation in your analysis pipeline. Check that prices are within reasonable ranges, surface areas are positive, and coordinates fall within France. Identify and handle outliers—luxury properties or unique listings that might skew average calculations. Track missing fields to understand data completeness and adjust your analysis accordingly.

Store historical data systematically to enable trend analysis. Track individual properties through their lifecycle—initial listing, price adjustments, status changes, and final sale or withdrawal. This temporal perspective reveals market dynamics invisible in snapshot data, such as average time on market, proportion of properties that reduce prices, and seasonal demand patterns.

Respect the platform by implementing reasonable scraping rates. While the scraper handles technical aspects of polite data collection, avoid requesting excessive data unnecessarily. Focus your searches to capture relevant properties rather than scraping the entire SeLoger.com database. This sustainable approach ensures continued access to this valuable resource.

Consider the legal and ethical dimensions of property data usage. While publicly listed properties are generally fair game for market analysis, be thoughtful about republishing detailed listings or contacting property owners directly. When using the data commercially, ensure compliance with French data protection regulations and SeLoger.com's terms of service.

Conclusion

The SeLoger.com Property Search Scraper transforms France's leading property platform into a powerful source of structured market intelligence. Whether you're analyzing investment opportunities, conducting competitive research, building PropTech applications, or studying urban real estate dynamics, this tool provides the comprehensive, accurate data you need. Start leveraging French real estate data today and gain the market insights that drive informed property decisions.