Funda in Business Scraper

Turn any fundainbusiness.nl search page, object page or project page into clean, structured JSON — no login, no cookies, and no proxy setup required. Funda in Business Scraper collects Dutch commercial real-estate listings (horeca, kantoor, bedrijfsruimte, belegging) and exports them to JSON, CSV, Excel, XML, or HTML Table.

What does Funda in Business Scraper do?

• 🔎 Scrapes search & category pages — paste any Funda in Business search URL and collect every listing on it. Pagination is automatic: the scraper follows the site's own "next page" link, so it never stops early and never invents pages that don't exist.
• 📄 Scrapes individual objects — paste a single object URL to get its full detail record.
• 🏗️ Expands multi-unit projects — a development page is unpacked into a full record for each object it holds, whether you paste it directly or it turns up inside a search page.
• 🏢 Covers every commercial segment — horeca, kantoor, bedrijfsruimte, belegging, and more, for both sale (koop) and rent (huur).
• 🧾 Returns rich structured data — address with coordinates, price, the complete Dutch Kenmerken table, investment figures, photos, floor plans, 360° panoramas, videos, broker details, and the description in both plain text and raw HTML.
• 🎯 Per-URL limits — set a global maxRecords budget and, optionally, a separate maxResultsPerSearch cap for each individual URL.
• 🌐 Proxy preconfigured — uses the Apify residential proxy out of the box.
• 🔓 No login or session cookies required.
• 📤 Export anywhere — JSON, CSV, Excel, XML, HTML Table, or the Apify API.

About Funda in Business

Funda in Business is the commercial arm of funda.nl, the leading Dutch property marketplace. It lists business real estate across the Netherlands — hospitality venues, offices, industrial and retail space, and investment properties — making it a primary source of Dutch commercial property and pricing data.

What can you do with this data?

• Price & rent monitoring — track asking prices and rents per city, segment, or broker over time.
• Investment & yield analysis — use the gross rental income, tenant count, and let area from the Beleggingsobject block alongside the asking price.
• Market & availability tracking — watch what comes on and off the market in a given city or category.
• Broker coverage — see which agencies list what, and where.
• Dataset building — feed structured listing data into analytics, dashboards, or ML pipelines.

How to use Funda in Business Scraper

1. Open the actor on Apify.
2. Add one or more Funda in Business URLs to the urls field (search pages, object pages, project pages, or any mix of them).
3. Optionally give any entry its own maxResultsPerSearch cap.
4. Set maxRecords to cap how many listings to collect in total (default 100).
5. Click Start, then download the results in JSON, CSV, Excel, XML, or HTML Table.

Input parameters

Input parameter	Description	Required	Default value
urls	List of URLs to scrape. Each entry is an object: { url, maxResultsPerSearch? }	true	—
urls[].url	A Funda in Business search, object or project URL	true	—
urls[].maxResultsPerSearch	Cap for this URL only. Ignored on object URLs (one object is always one record)	false	falls back to maxRecords
maxRecords	Maximum total number of records across all URLs	false	100

Only https://www.fundainbusiness.nl/ URLs are accepted — any other host is skipped with a warning in the run log.

Supported input URLs

Funda in Business Scraper accepts three kinds of URLs:

• Search / category URL — collects every listing on the page and paginates automatically:

  • https://www.fundainbusiness.nl/horeca/amsterdam/
  • https://www.fundainbusiness.nl/belegging/amsterdam/
  • Already-paginated URLs such as https://www.fundainbusiness.nl/horeca/amsterdam/p2/ work too — the scraper simply continues from there.

• Object URL — collects one listing's full detail record. Funda uses two URL shapes and both are supported:

  • https://www.fundainbusiness.nl/belegging/amsterdam/object-44567225-haarlemmerdijk-57-1/
  • https://www.fundainbusiness.nl/horeca/nassaukade-377/object-44421168/

• Project URL — a multi-unit development, which holds several separate objects. The project itself is not a listing, so it produces no record of its own; the scraper collects a full detail record for each object inside it:

  • https://www.fundainbusiness.nl/alle-bedrijfsaanbod/amsterdam/project-89962976-bos-en-lommerplantsoen/

  Funda also mixes project pages into ordinary search results, where they are expanded the same way.

You can mix all three URL types in the same urls list. Every output record echoes the input entry that produced it via original_request_url and input_params, so results from multiple URLs stay easy to tell apart.

Examples

Input

Scrape 20 listings from a search URL:

{
  "urls": [{ "url": "https://www.fundainbusiness.nl/horeca/amsterdam/" }],
  "maxRecords": 20
}

Scrape two searches with a separate cap for each, plus one specific object:

{
  "urls": [
    { "url": "https://www.fundainbusiness.nl/horeca/amsterdam/", "maxResultsPerSearch": 10 },
    { "url": "https://www.fundainbusiness.nl/kantoor/utrecht/", "maxResultsPerSearch": 5 },
    { "url": "https://www.fundainbusiness.nl/horeca/nassaukade-377/object-44421168/" }
  ],
  "maxRecords": 50
}

Output

In the sample below the broker's name, phone number, and links are replaced with placeholders, and the long text, photo, and feature lists are trimmed for readability. A real run returns them in full.

{
  "id": "44421168",
  "global_id": 8076705,
  "url": "https://www.fundainbusiness.nl/belegging/amsterdam/object-44421168-nassaukade-377/",
  "title": "Nassaukade 377",
  "object_type": "Overig",
  "offering_type": "horeca",
  "transaction_type": "koop",
  "status": "Beschikbaar",
  "promo_label": "Blikvanger",
  "promo_description": "Volledig verhuurd boetiekhotel op toplocatie in Amsterdam",
  "promo_description_html": "<span class=\"object-promolabel__description\">Volledig verhuurd boetiekhotel op toplocatie in Amsterdam</span>",
  "description": "Op een uitstekende locatie aan de Nassaukade in Amsterdam wordt dit volledig verhuurde boetiekhotel met 15 hotelkamers aangeboden. Het hotel is gevestigd in een karakteristiek hoekpand dat in de periode 2012-2014 ingrijpend is getransformeerd en volledig is verbouwd tot hotel.\n\n… (truncated)",
  "description_html": "<div class=\"object-description-body\" data-object-description-body>Op een uitstekende locatie aan de Nassaukade in Amsterdam wordt dit volledig verhuurde boetiekhotel met 15 hotelkamers aangeboden. <br> <br>LOCATIE <br> <br>… (truncated)</div>",
  "address": {
    "title": "Nassaukade 377",
    "subtitle": "1054 AC Amsterdam",
    "street": "Nassaukade",
    "house_number": "377",
    "postcode": "1054 AC",
    "city": "Amsterdam",
    "neighborhood": "Helmersbuurt-Oost",
    "municipality": "amsterdam",
    "province": "Noord-Holland",
    "country": "Nederland",
    "latitude": 52.36512,
    "longitude": 4.878433
  },
  "price_info": {
    "selling_price": "€ 4.450.000 k.k.",
    "rental_price": null,
    "numeric_price": 4450000,
    "currency": "EUR"
  },
  "floor_area": "411 m²",
  "plot_area": null,
  "energy_label": "A+",
  "construction_year": "1892",
  "construction_type": "Bestaande bouw",
  "main_function": "Belegging",
  "possible_functions": "Horeca",
  "number_of_floors": "5 bouwlagen",
  "photos": [
    "https://cloud.funda.nl/valentina_media/231/803/800_1440x960.jpg",
    "https://cloud.funda.nl/valentina_media/231/803/824_1440x960.jpg",
    "https://cloud.funda.nl/valentina_media/231/803/827_1440x960.jpg",
    "https://cloud.funda.nl/valentina_media/231/803/842_1440x960.jpg",
    "https://cloud.funda.nl/valentina_media/231/803/811_1440x960.jpg"
  ],
  "floor_plans": [
    "https://cloud.funda.nl/valentina_media/231/803/861_plattegrond_600_450.png",
    "https://cloud.funda.nl/valentina_media/231/803/862_plattegrond_600_450.png",
    "https://cloud.funda.nl/valentina_media/231/803/863_plattegrond_600_450.png"
  ],
  "photos360": [
    "https://www.fundainbusiness.nl/panorama/44421168/231803852/",
    "https://www.fundainbusiness.nl/panorama/44421168/231803853/",
    "https://www.fundainbusiness.nl/panorama/44421168/231803854/"
  ],
  "videos": ["https://customer-vzk8jgcsaz84e8sb.cloudflarestream.com/215d32af98f1db67e1ef1cc66e54f656/manifest/video.m3u8"],
  "features": [
    {
      "title": "Overdracht",
      "value": null,
      "subfeatures": [
        { "title": "Vraagprijs", "value": "€ 4.450.000 kosten koper", "subfeatures": null },
        { "title": "Status", "value": "Beschikbaar", "subfeatures": null },
        { "title": "Aanvaarding", "value": "In overleg", "subfeatures": null }
      ]
    },
    {
      "title": "Bouw",
      "value": null,
      "subfeatures": [
        { "title": "Hoofdfunctie", "value": "Belegging", "subfeatures": null },
        { "title": "Mogelijke functie(s)", "value": "Horeca", "subfeatures": null },
        { "title": "Soort bouw", "value": "Bestaande bouw", "subfeatures": null },
        { "title": "Bouwjaar", "value": "1892", "subfeatures": null }
      ]
    },
    {
      "title": "Beleggingsobject",
      "value": null,
      "subfeatures": [
        { "title": "Bruto huuropbrengst", "value": "€ 233.197 per jaar", "subfeatures": null },
        { "title": "Huurders", "value": "1 huurder", "subfeatures": null },
        { "title": "Verhuurd", "value": "411 m²", "subfeatures": null }
      ]
    }
  ],
  "investment": {
    "gross_rental_income": "€ 233.197 per jaar",
    "number_of_tenants": "1 huurder",
    "rented_area": "411 m²"
  },
  "broker": {
    "id": "000",
    "name": "Example Vastgoed Makelaars",
    "association_code": "nvm",
    "url": "https://www.fundainbusiness.nl/makelaar/000-example-vastgoed-makelaars/",
    "logo_url": "https://cloud.funda.nl/valentina_media/000/000/000_720x720.jpg",
    "phone_number": "(+31) 00 000 00 00",
    "contact_url": "https://www.fundainbusiness.nl/makelaar-contact/?listingId=00000000"
  },
  "original_request_url": "https://www.fundainbusiness.nl/horeca/amsterdam/",
  "input_params": {
    "url": "https://www.fundainbusiness.nl/horeca/amsterdam/",
    "max_results_per_search": 5
  }
}

Output formats

Every scraped listing is one record in the ad_details dataset. After a run finishes you can download the data as JSON, CSV, Excel, XML, or HTML Table, or pull it via the Apify API. The dataset's overview view gives you a quick table of ID, address, city, price, and URL.

❓ FAQ

Do I need proxies to scrape Funda in Business?

No. The actor is preconfigured to use the Apify residential proxy in the Netherlands — you don't need to set anything up.

Do I need to write code?

No. Funda in Business Scraper is a no-code tool: paste your URLs, set maxRecords, and run.

Can I scrape a single object or a whole city?

Both. Provide a search URL to collect many listings across all its pages, or an object URL to collect one listing's full record. You can mix both in the same urls list.

How many listings can I scrape?

Use maxRecords to set the total cap (default 100). To split that budget between URLs, give each entry its own maxResultsPerSearch — for example 10 from Amsterdam and 5 from Utrecht within a budget of 50.

Does it handle rentals as well as sales?

Yes. Sale listings fill price_info.selling_price and rentals fill price_info.rental_price, so you can tell the two apart from a single field.

Do I get photos and floor plans?

Yes — full-size photo URLs, floor-plan images, 360° panorama viewer links, and video stream URLs, each as its own array.

What export formats are available?

JSON, CSV, Excel, XML, and HTML Table — plus programmatic access via the Apify API.

Is it legal to scrape Funda in Business?

Scraping publicly available data is generally permitted, but you are responsible for how you use it. Avoid collecting or storing personal data beyond what your use case requires, and comply with applicable laws (including the GDPR) and funda's terms. Consult legal counsel if you're unsure.

Support

For custom or simplified outputs, or to report a bug, contact the developer at support (at) getmediumdata.com or open an issue.