Immovlan Property Search Scraper: Extract Real Estate Listings Efficiently

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What Is Immovlan.be?

Immovlan.be is Belgium's leading online real estate platform, featuring thousands of property listings across residential, commercial, and industrial segments. The platform covers sales, rentals, and public auctions, offering rich property details including energy performance certificates (EPC), location data, and transaction types. Manually extracting and organizing this data is labor-intensive — the Immovlan Property Search Scraper automates the process, delivering structured property records at scale.

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Overview

The Immovlan Property Scraper extracts apartment and property listings from Immovlan search results pages, converting listings into clean, structured datasets. It is designed for:

• Real estate investors tracking market supply and pricing trends
• Property aggregators feeding data into multi-listing platforms
• Market researchers analyzing Belgian residential property markets
• Real estate professionals monitoring competitor inventory
• Data analysts building price benchmarks and location intelligence

Key strengths include support for filtered searches (transaction types, property subtypes, pagination), configurable item limits, and robust error handling via ignore_url_failures.

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Input Format

The scraper accepts a JSON configuration object:

{
  "urls": [
    "https://immovlan.be/en/real-estate?transactiontypes=for-sale,in-public-sale&propertytypes=apartment&propertysubtypes=apartment,ground-floor,penthouse,duplex,studio,loft,triplex&page=3&noindex=1"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 200
}

Field	Type	Description
urls	Array (strings)	Immovlan property list page URLs. Copy URLs directly from Immovlan after applying filters (transaction type, property type, location, price range, etc.). Pagination is supported via the page parameter.
max_items_per_url	Integer	Maximum listings to extract per URL. Set to 200 to capture full page results, or lower for smaller datasets.
ignore_url_failures	Boolean	If true, the scraper continues if a URL fails (e.g., page not found). If false, the run stops on first failure. Recommended: true for bulk scraping.

Example URLs by filter:

• For-sale apartments: ?transactiontypes=for-sale&propertytypes=apartment
• Rentals in Antwerp: ?transactiontypes=for-rent&propertycities=antwerp
• Public auctions: ?transactiontypes=in-public-sale

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Output Format

Sample output

{
  "id": 10626466,
  "vlan_code": "1485769-00955250_OM_317010",
  "status": "published",
  "first_image_url": "s3://projects/1485769-00955250_om_317010/aa4d9cf2c53e4b3bb564be5ce4a2a4a0.jpg",
  "display_image_url": "https://api-image.immovlan.be/v1/project/1485769-00955250_OM_317010/image/aa4d9cf2c53e4b3bb564be5ce4a2a4a0.jpg/webp/Medium?h=280",
  "display_url": "https://immovlan.be/en/projectdetail/1485769-00955250_om_317010",
  "display_title": "  (New construction project)",
  "display_project_url": "https://immovlan.be/en/projectdetail/1485769-00955250_om_317010",
  "display_project_title": "De Gaanderij",
  "display_zip_code": "2200",
  "display_country": "Belgium",
  "display_city": "Herentals",
  "display_address": "2200 Herentals",
  "price": 360000,
  "display_price": "497 000 €",
  "display_property_sub_type": "",
  "display_img_url": "s3://projects/1485769-00955250_om_317010/aa4d9cf2c53e4b3bb564be5ce4a2a4a0.jpg",
  "display_img_title": "  Herentals (RBW04802)",
  "owner": {
    "owner_type": "estateAgents",
    "owner_types": "estateAgents",
    "owner_id": 40408,
    "owner_name": "Heylen Vastgoed Herentals",
    "owner_logo": "https://api-image.immovlan.be/v1/prouser/00955250/logo/English/webp/Small",
    "owner_url": "/tracking/prouser/logo-click/goto?proUserId=40408&advertId=10626466&advertReference=RBW04802&language=en",
    "is_owner_phone_visible": true,
    "clean_owner_phone": "+32 14 70 51 58",
    "masked_owner_phone": "+32************",
    "contact_url": ""
  },
  "short_description": "The Gaanderij - Historic living in the heart of Herentals Last unit available The project consists of 90 contemporary residential units and 6 single-family houses with a unique character surrounded by greenery. There is something for everyone: beautiful views, sun-drenched terraces, high ceilings, green interior gardens, etc. The project therefore has an offer for young and old, couples, singles or families with children. Wondering what the Gaanderij has in store for you? Do not hesitate to contact us for more info (plans, specifications, prices,...) This project is eligible for the reduced VAT rate of 6% if you meet the conditions.",
  "software_id": 335,
  "software_name": "Omnicasa",
  "structured_data": {
    "item_type": "http://schema.org/Place",
    "publish_date": "2026-05-30T20:12:17.000000+00:00"
  },
  "rel": "nofollow",
  "high_lights": [
    {
      "css_icon": "NrOfBedrooms",
      "font_awesome_icon": "fas fa-bed",
      "label": "Bedroom(s)",
      "display_value": "1 - 3"
    },
    {
      "css_icon": "LivableSurface",
      "font_awesome_icon": "fas fa-ruler-combined",
      "label": "m²",
      "display_value": "58 - 165"
    },
    {
      "css_icon": "NrOfBathrooms",
      "font_awesome_icon": "fas fa-bath",
      "label": "Bathroom(s)",
      "display_value": "1 - 2"
    },
    {
      "css_icon": "PropertyCount",
      "font_awesome_icon": "fas fa-building",
      "label": "unit(s)",
      "display_value": "24"
    }
  ],
  "tags": [
    "HasPicture",
    "HasTerrace",
    "HasWaterConnection",
    "HasGarden",
    "IsBestOf",
    "IsNew",
    "IsProject",
    "IsNewConstructionProject"
  ],
  "is_price_recently_modified": false,
  "is_recently_modified": true,
  "display_epc": false,
  "energy_consumption_group_css_class": "UnknownEpc",
  "transaction_icon_css_class": "ncp",
  "transaction_icon_label": "Transaction_Icon_New_Construction_Project_Label",
  "from_url": "https://immovlan.be/en/real-estate?transactiontypes=for-sale,in-public-sale&propertytypes=apartment&propertysubtypes=apartment,ground-floor,penthouse,duplex,studio,loft,triplex&noindex=1"
}

Each scraped property returns a detailed record with 32 fields covering identification, location, pricing, media, and market indicators:

Property Identification

Field	Meaning
ID	Unique Immovlan property identifier
VLAN Code	Internal VLAN system code for the property
Status	Listing status (active, sold, expired, etc.)
Display URL	Direct link to the property detail page
Display Title	Property title as shown to users
Software ID	External software/system integration ID
Software Name	Name of the external system

Location & Address

Field	Meaning
Display Address	Full street address (e.g., "Rue de la Paix 123")
Display City	City or municipality (e.g., "Brussels")
Display ZIP Code	Postal code (e.g., "1000")
Display Country	Country code (e.g., "BE")

Pricing & Financials

Field	Meaning
Price	Property price in original currency (EUR)
Display Price	Formatted price string for display (e.g., "€250,000")
Price Recently Modified	Timestamp of last price change

Property Type & Details

Field	Meaning
Display Property Sub Type	Specific property type (apartment, penthouse, studio, loft, triplex, duplex, ground-floor)
Short Description	Brief text summary of the property
Highlights	Key selling points (array of strings)
Tags	Categorical tags (e.g., "newly built", "renovated")

Energy & Compliance

Field	Meaning
Display EPC	Energy Performance Certificate grade (A–G scale)
Energy Consumption Group CSS Class	CSS class for EPC visualization

Media & Images

Field	Meaning
First Image URL	URL of the primary property photo
Display Image URL	Optimized image URL for display
Display Image Title	Image alt text / description

Transaction & Metadata

Field	Meaning
Transaction Icon CSS Class	CSS class for transaction type icon (for-sale, for-rent, in-public-sale)
Transaction Icon Label	Transaction label text (e.g., "For Sale")

Project & Owner Info

Field	Meaning
Display Project URL	URL to associated real estate project page (if applicable)
Display Project Title	Project name or development name
Owner	Agent or seller name / company

Technical

Field	Meaning
Rel	HTML rel attribute for semantic linking
Structured Data	JSON-LD schema data embedded in listing
Recently Modified	Timestamp of last data update

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How to Use

1. Visit Immovlan.be — Navigate to the property search page and apply desired filters (transaction type, property type, location, price range).
2. Copy the filtered URL — Once your search is set, copy the full URL from the address bar (e.g., ?transactiontypes=for-sale&...).
3. Configure input — Paste the URL(s) into the urls array. Set max_items_per_url to 200 for full page results, or lower to limit volume.
4. Enable error handling — Set ignore_url_failures: true for multi-URL runs to avoid interruptions.
5. Run the scraper — Execute the actor and monitor progress in the logs.
6. Download results — Export data as JSON, CSV, or Excel for analysis, import, or integration.

Best practices:

• Use specific filters to reduce noise (e.g., filter by neighborhood, bedrooms, price range).
• For large bulk scrapes, increase max_items_per_url and use pagination across multiple URLs.
• The Price Recently Modified field indicates dynamic pricing — useful for tracking market volatility.
• EPC ratings help filter energy-efficient properties for ESG-focused analyses.

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Use Cases & Business Value

• Investment analysis: Build datasets tracking prices, locations, and property types to identify market gaps
• Competitive pricing: Monitor competitor inventory and adjust listing strategies
• Market research: Analyze supply-demand dynamics by neighborhood, property type, or transaction type
• Aggregator platforms: Feed Immovlan data into multi-platform real estate search engines
• Lead generation: Collect property and agent information for targeted outreach
• Trend forecasting: Track sold prices, status changes, and time-to-sale metrics

The Immovlan Property Scraper converts real estate search pages into actionable datasets, eliminating hours of manual research and enabling data-driven decision-making.

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Conclusion

The Immovlan Property Search Scraper is an essential tool for real estate professionals, investors, and researchers. With 32+ data fields covering pricing, location, energy performance, and transaction details, it delivers the complete picture needed to understand Belgium's residential property market. Start scraping today and unlock insights that shape smarter real estate strategies.