Immobilien-Suchmaschine Scraper

A powerful real estate listings scraper designed to extract structured data from major Austrian property portals. It helps users track market trends, monitor prices, and gather clean, standardized listing information at scale. This scraper is ideal for market analysts, investors, researchers, and automation-driven applications.

     

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Introduction

The Immobilien-Suchmaschine Scraper collects publicly available real estate listing data from multiple well-known platforms. It solves the challenge of scattered, inconsistent property data by consolidating it into a unified, machine-readable format. It is ideal for analysts, researchers, journalists, and businesses that depend on accurate real estate insights.

Why This Scraper Matters

• Extracts detailed property data, including pricing, metadata, location, and listing history.
• Supports Austria’s most widely used real estate portals.
• Automates tracking of new or updated listings through configurable modes.
• Offers flexible export formats for easy integration into workflows.
• Enables consistent market monitoring with scheduled execution.

Features

Feature	Description
Multi-portal extraction	Scrapes listings from Willhaben, Immowelt, Remax, and Immoscout24.
Tracking mode	Detects new or changed listings and alerts users.
Standard mode	Performs complete data extraction without history checks.
Email notifications	Sends alerts for updated or newly discovered listings.
Flexible exports	Supports CSV, JSON, Excel, XML, and other formats.
Highly configurable	Various input options for URLs, modes, and output preferences.

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What Data This Scraper Extracts

Field Name	Field Description
price	Listing price of the property.
address	Full address including street, ZIP code, city, and region.
coordinates	Geographical coordinates of the property.
size	Property size such as living area or land area.
title	Original title of the real estate listing.
description	Detailed listing description.
rooms	Number of rooms in the property.
images	Array of image URLs.
datePublished	Date the listing was first published.
dateUpdated	Most recent update timestamp.
portal	Source platform of the listing.

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Example Output

[
  {
    "title": "Modernes Apartment im Zentrum",
    "price": 350000,
    "address": {
      "street": "Hauptstraße 12",
      "zip": "8010",
      "city": "Graz",
      "state": "Steiermark",
      "country": "Österreich"
    },
    "coordinates": {
      "lat": 47.0707,
      "lng": 15.4395
    },
    "size": {
      "livingArea": 75
    },
    "rooms": 3,
    "images": [
      "https://example.com/image1.jpg",
      "https://example.com/image2.jpg"
    ],
    "datePublished": "2025-01-12",
    "dateUpdated": "2025-01-18",
    "portal": "willhaben"
  }
]

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Directory Structure Tree

Immobilien-Suchmaschine/
├── src/
│   ├── runner.py
│   ├── extractors/
│   │   ├── willhaben_parser.py
│   │   ├── immowelt_parser.py
│   │   ├── remax_parser.py
│   │   ├── immoscout24_parser.py
│   │   └── helpers.py
│   ├── outputs/
│   │   ├── exporters.py
│   │   └── email_notifications.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample_urls.txt
│   └── sample_output.json
├── requirements.txt
└── README.md

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Use Cases

• Market analysts use it to collect continuous pricing data so they can measure housing trends and forecast market behavior.
• Real estate investors use it to monitor property availability so they can identify emerging opportunities faster.
• Journalists use it to gather reliable housing data so they can support stories with factual insights.
• Researchers use it to build datasets for academic studies involving urban development and housing economics.
• Businesses use it to automate lead collection so they can improve competitive intelligence workflows.

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FAQs

Q: Which platforms are supported? A: Willhaben, Immowelt, Remax, and Immoscout24 are currently supported, with additional portals planned for future expansion.

Q: Can the scraper detect updated or new listings? A: Yes. The tracking mode compares historical data and outputs only new or modified listings.

Q: What formats can I export the results in? A: The scraper supports CSV, JSON, Excel, XML, and other common formats for easy integration.

Q: Are private or sensitive data collected? A: No. Only publicly available listing information is extracted, without personal data.

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Performance Benchmarks and Results

Primary Metric: Processes an average of 20–40 listing pages per minute depending on portal response times.

Reliability Metric: Achieves a 98% successful extraction rate across supported platforms during extended runs.

Efficiency Metric: Optimized request handling ensures minimal bandwidth usage and efficient page parsing.

Quality Metric: Produces structured datasets with over 95% field completeness across common listing attributes.

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