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Immoweb Scraper — Immoweb | Lagic

Built For

Extract comprehensive real estate listing data from Immoweb.

Curated by Lagic·Verified working

Configure Agent

List of URLs from Immoweb that needs to be scraped

Maximum number of records to be scraped

Results to deliver

400 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

4 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Property Details: Type (house, apartment), subtype, living area, land surface, number of bedrooms and bathrooms.Pricing Information: Main price, display price, price type (e.g., fixed, starting price), and historical price changes if available.Full Location Data: Street, city, postal code, province, and precise latitude/longitude coordinates.Listing Status: Flags indicating if a property is new, newly built, under option, or already sold/rented.Agency & Owner Details: Contact name, phone number, email, website, and professional IPI number for agents.Building & Amenity Features: Year built, building condition, presence of a terrace, garden, swimming pool, lift, fireplace, etc.
504$19.99Value...Value...contact@...Value...
40$19.99Value...Value...contact@...Value...
..................
Exports as:CSVXLSXJSON

Overview

Scrape detailed property data from Belgium's largest real estate portal, Immoweb. Get pricing, location specifics, property features, and agency contact information for market analysis and competitor tracking.

This tool extracts all publicly available data from property listings on Immoweb.be, the leading real estate platform in Belgium. It's designed for real estate agents, investors, market analysts, and data scientists who need structured, reliable data on the Belgian housing market. By providing a list of Immoweb URLs, you can gather a wealth of information for each property. The output includes not just the basics like price and number of bedrooms, but also granular details such as the property's energy performance certificate (EPC) score, specific amenities like a swimming pool or fireplace, garden size and orientation, and the full address with geographic coordinates. ### Who is this for? * **Real Estate Agencies:** Monitor competitor listings, track pricing adjustments in your local area, and build a database of available properties to match with client needs. * **Property Investors:** Identify undervalued properties, spot trends in newly-built projects, and analyze rental yields in specific neighborhoods or cities like Brussels, Antwerp, or Ghent. * **Market Analysts:** Collect raw data to build pricing models, forecast market trends, and create detailed reports on the Belgian real estate sector. * **PropTech Companies:** Use this data to power applications for property valuation, neighborhood analysis, or investment opportunity alerts.

Key Capabilities

  • ✓ Property Details: Type (house, apartment), subtype, living area, land surface, number of bedrooms and bathrooms.
  • ✓ Pricing Information: Main price, display price, price type (e.g., fixed, starting price), and historical price changes if available.
  • ✓ Full Location Data: Street, city, postal code, province, and precise latitude/longitude coordinates.
  • ✓ Listing Status: Flags indicating if a property is new, newly built, under option, or already sold/rented.
  • ✓ Agency & Owner Details: Contact name, phone number, email, website, and professional IPI number for agents.
  • ✓ Building & Amenity Features: Year built, building condition, presence of a terrace, garden, swimming pool, lift, fireplace, etc.
  • ✓ Media Links: Direct URLs to all high-resolution photos and virtual tours associated with the listing.
  • ✓ Energy & Planning: Energy performance (EPC) score, planning permits, and other legal information.
  • ✓ A real estate agent can track all new listings from competing agencies in their postal code.
  • ✓ A property investor can filter for listings with the 'isLifeAnnuitySale' flag to find specific investment opportunities.
  • ✓ A market analyst can download data for all apartments in Brussels to analyze price-per-square-meter trends.
  • ✓ A data scientist can build a dataset to train a machine learning model that predicts property sale prices.
  • ✓ A mortgage broker can assess property values in different regions to inform lending decisions.
  • ✓ A property developer can research land prices and availability in emerging neighborhoods.
  • ✓ A rental agency can build a portfolio of available properties to quickly match with prospective tenants.

Field Dictionary

How To Run This Extractor

1

Find the property listings you want to extract on Immoweb.be.

2

Copy the URLs of the individual property pages.

3

Paste the URLs into the 'List of URLs' field.

4

Adjust the 'Maximum number of records' if you need more or fewer than 100.

5

Run the tool to start the extraction process.

6

Download the complete dataset as a CSV, Excel, or JSON file.

Frequently Asked Questions

Do I need technical skills to use this tool?
No, you only need to copy and paste Immoweb URLs into the tool's input field.
In what formats can I export the data?
Is it legal to scrape data from Immoweb?
Can I scrape thousands of listings at once?
Is this suitable for client work at my agency?
How is this different from a generic web scraper?
How reliable is the data extraction?
Can I schedule this tool to run automatically?
Does the tool get data that is already sold or rented?
Can I get the contact information for the real estate agent?
How is the cost determined?