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Advanced Fundainbusiness.nl Real Estate Data Scraper Solution

Introduction

Fundainbusiness.nl serves as the Netherlands' premier commercial real estate platform, hosting over 23,000 commercial properties for sale and rent across the country. This extensive database contains valuable information about warehouses, office spaces, retail locations, and industrial properties throughout Dutch cities and towns. However, manually collecting data from thousands of property listings is time-consuming and inefficient for market research, investment analysis, or competitive intelligence purposes.

The Fundainbusiness.nl Property Details Scraper addresses this challenge by automating the data extraction process, enabling users to gather comprehensive property information quickly and systematically. Whether you're a real estate investor, market analyst, or business looking to expand operations, this scraper provides structured access to critical commercial property data that would otherwise require hours of manual research.

Overview of the Fundainbusiness.nl Scraper

The Fundainbusiness.nl Property Details Scraper is a specialized web scraping tool designed to extract detailed information from individual property listing pages on the Fundainbusiness.nl platform. This scraper efficiently processes property URLs and converts unstructured web content into organized, structured data that can be easily analyzed and utilized for various business purposes.

The scraper excels at handling the complex structure of Fundainbusiness.nl property pages, which contain rich information including property specifications, pricing details, location data, seller information, and visual content. By automating this extraction process, users can gather large datasets for market analysis, competitor research, or investment opportunities without the manual effort typically required for such comprehensive data collection.

The tool is particularly valuable for real estate professionals, investment firms, market researchers, and businesses seeking commercial spaces in the Netherlands. Its ability to process multiple property listings simultaneously makes it an essential tool for anyone requiring systematic access to Dutch commercial real estate data.

Input and Output Details

Example url 1: https://www.fundainbusiness.nl/bedrijfshal/amersfoort/object-89469872-de-dynamo-59/

Example url 2: https://www.fundainbusiness.nl/bedrijfshal/vianen-ut/object-43067554-dijkleger-1-k/

Example url 3: https://www.fundainbusiness.nl/bedrijfshal/vianen-ut/object-43602811-dijkleger-91/

Example Screenshot of property information page:

Input Format

The scraper accepts a JSON configuration object that defines the scraping parameters and target URLs. The input structure includes several key components:

{
  "max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided.
  "proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot.
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL" 
    ],
    "apifyProxyCountry": "SG" // You should choose an Country that coincides with the Country you want to collect data from
  },
  "urls": [ // Links to property information pages.
    "https://www.fundainbusiness.nl/bedrijfshal/amersfoort/object-89469872-de-dynamo-59/","https://www.fundainbusiness.nl/bedrijfshal/vianen-ut/object-43067554-dijkleger-1-k/",
    "https://www.fundainbusiness.nl/bedrijfshal/vianen-ut/object-43602811-dijkleger-91/"
  ]
}

The max_retries_per_url parameter controls the number of retry attempts for each URL in case of access failures or temporary issues. The proxy configuration ensures reliable data collection by routing requests through residential proxy servers, with the country setting optimally configured for accessing Dutch websites. The urls array contains the specific Fundainbusiness.nl property page URLs you want to scrape, each pointing to an individual property listing.

Output Format

You get the output from the Fundainbusiness.nl Property Details Scraper stored in a tab. The following is an example of the Information Fields collected after running the Actor.

[ // List of property information
  {
    "id": "https://www.fundainbusiness.nl/bedrijfshal/amersfoort/object-89469872-de-dynamo-59/#funda",
    "url": "https://www.fundainbusiness.nl/bedrijfshal/amersfoort/object-89469872-de-dynamo-59/",
    "name": "De Dynamo 59",
    "description": "<div class=\"object-description-body\" data-object-description-strip-markup=\"\" data-object-description-body=\"\">\nTurn-key kantoor-/bedrijfsruimte op  zichtlocatie  – modern,  licht en  instapklaar  Algemeen: Nieuwe,  hoogwaardig  gebouwde bedrijfsgebouwen met beiden  een  totale  vloeroppervlakte van  ca. 140 m2.  Deze  bedrijfsruimtes liggen  op een  uitstekende locatie en maken onderdeel uit van een  bedrijfsverzamelgebouw met 22 eenheden. Het gaat om de units met de huisnummers 31 & 59.  Uniek aan de ligging van nummer 59 is de ligging aan de Energieweg en dus de optimale zichtbaarheid. Uniek aan de ligging van nummer 59 is de ligging direct aan de toegangsweg en dus een optimale bereikbaarheid voor bedrijfsbussen i.c.m. aanhangers! Kenmerkend voor  …</div>",
    "location": {
      "@type": "PostalAddress",
      "street_address": "De Dynamo 59",
      "address_locality": "Amersfoort",
      "address_region": "Utrecht"
    },
    "price": "1500",
    "category": "Bedrijfshal",
    "currency": "EUR",
    "details": [
      {
        "key": "Huurprijs",
        "value": "€ 1.500 per maand"
      },
      {
        "key": "Aangeboden sinds",
        "value": "Log in om te bekijken"
      },
      {
        "key": "Status",
        "value": "Beschikbaar"
      },
      {
        "key": "Aanvaarding",
        "value": "In overleg"
      },
      {
        "key": "Hoofdfunctie",
        "value": "Bedrijfshal"
      },
      {
        "key": "Soort bouw",
        "value": "Bestaande bouw"
      },
      {
        "key": "Bouwjaar",
        "value": "2024"
      },
      {
        "key": "Oppervlakte",
        "value": "140 m²"
      },
      {
        "key": "Bedrijfshal oppervlak",
        "value": "140 m²"
      },
      {
        "key": "Vrije hoogte",
        "value": "3 m"
      },
      {
        "key": "Draagvermogen",
        "value": "1.000 kg/m²"
      },
      {
        "key": "Voorzieningen",
        "value": "Airconditioning, overheaddeuren, betonvloer en toilet"
      },
      {
        "key": "Energielabel",
        "value": "Niet verplicht"
      },
      {
        "key": "Ligging",
        "value": "Bedrijventerrein"
      },
      {
        "key": "Bereikbaarheid",
        "value": "Bushalte op minder dan 500 m, NS Intercitystation op 1500 m tot 2000 m en snelwegafrit op minder dan 500 m"
      },
      {
        "key": "Parkeerplaatsen",
        "value": "2 niet-overdekte parkeerplaatsen"
      }
    ],
    "seller": {
      "name": "ZAAK Bedrijfsmakelaars",
      "url": "https://www.fundainbusiness.nl/makelaar/67980-zaak-bedrijfsmakelaars/",
      "phone": "0342 79 40 57"
    },
    "image_urls": [
      "https://cloud.funda.nl/valentina_media/213/838/677_1440x960.jpg",
      "https://cloud.funda.nl/valentina_media/213/838/718_1440x960.jpg",
      "https://cloud.funda.nl/valentina_media/213/838/681_1440x960.jpg",
      "https://cloud.funda.nl/valentina_media/213/838/683_1440x960.jpg",
      "https://cloud.funda.nl/valentina_media/213/838/684_1440x960.jpg",
      "https://cloud.funda.nl/valentina_media/213/838/685_1440x960.jpg"
    ]
  }, // ... Many other property details
]

The scraper generates structured data containing essential property information extracted from each processed URL. The output includes the following fields:

• ID: The unique property identifier assigned by Fundainbusiness.nl, extracted from the URL or property page. This serves as a primary key for database storage and helps prevent duplicate entries when processing multiple properties.

• URL: The complete web address of the scraped property listing, providing a direct reference back to the original source for verification or additional manual review.

• Name: The property title or name as displayed on the listing page, typically including the property type and address information for easy identification.

• Description: The comprehensive property description provided by the seller or listing agent, containing details about features, amenities, condition, and potential uses.

• Location: Geographic information including the full address, city, postal code, and potentially coordinates, enabling location-based analysis and mapping.

• Price: The listed price or rental rate for the property, including currency denomination and pricing terms (per month, per year, or total purchase price).

• Category: The property classification such as warehouse, office space, retail location, or industrial facility, helping categorize properties for analysis.

• Currency: The monetary unit used for pricing, typically EUR for Dutch properties, ensuring proper financial calculations and comparisons.

• Details: Additional property specifications such as square footage, number of rooms, parking availability, year built, and other technical details that influence property value.

• Seller: Information about the listing agent, real estate company, or property owner responsible for the listing, including contact details when available.

• Image URLs: A collection of links to property photos, floor plans, and visual content, enabling visual analysis and presentation of property data.

Usage Instructions

To effectively use the Fundainbusiness.nl Property Details Scraper, follow these step-by-step instructions:

First, prepare your target URLs by browsing Fundainbusiness.nl and collecting the specific property page URLs you want to scrape. Each URL should point to an individual property listing page, not category or search result pages. Copy these URLs and format them as an array in your input JSON configuration.

Configure the scraping parameters by setting appropriate retry limits and proxy settings. For most use cases, 2 retries per URL provides a good balance between reliability and speed. The residential proxy configuration helps ensure consistent access to the website without triggering anti-bot mechanisms.

Execute the scraper with your configured input and monitor the progress. The tool will process each URL sequentially, extracting the available data fields from each property page. Processing time depends on the number of URLs and current website response times.

Review the output data for completeness and accuracy. While the scraper handles most property page formats automatically, occasionally some fields may be empty if the information isn't available on specific listings or if the page structure differs from standard formats.

Benefits and Applications

The Fundainbusiness.nl Property Details Scraper offers significant time savings compared to manual data collection. What would typically require hours of browsing and note-taking can be accomplished in minutes, allowing users to focus on analysis rather than data gathering.

Real-world applications include market research for understanding pricing trends across different regions, competitive analysis for real estate professionals tracking inventory and pricing strategies, and investment opportunity identification for firms seeking specific property types or locations. The structured output format facilitates easy integration with spreadsheet applications, databases, or analytical tools for further processing and visualization.

The scraped data provides valuable business intelligence for location planning, helping companies identify suitable commercial spaces for expansion or relocation while understanding market conditions and pricing in target areas.

Conclusion

The Fundainbusiness.nl Property Details Scraper transforms the complex task of commercial property data collection into a streamlined, automated process. By providing structured access to comprehensive property information from the Netherlands' leading commercial real estate platform, this tool empowers users to make data-driven decisions with confidence.

Ready to streamline your commercial property research? Start extracting valuable market data today and gain the competitive edge you need in the Dutch commercial real estate market.

Related Actors

• Fundainbusiness.nl Property Search Scraper: A specialized data extraction tool engineered to harvest detailed property information from Fundainbusiness's dominant Dutch real estate marketplace.

Your feedback

We are always working to improve Actors' performance. So, if you have any technical feedback about Fundainbusiness.nl Property Details Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console.