Funda.nl Scraper 🏠 ## 🔍 What does Funda.nl Scraper do? This actor scrapes real estate listings from Funda.nl or Fundainbusiness.nl, the Netherlands' leading property website. It extracts comprehensive property data, enabling you to gather valuable real estate market insights. ## ✨ Features - 🏘️ Scrapes detailed property listings from search results - 📊 Extracts comprehensive property information - 🔄 Supports pagination and dynamic loading - 🚀 High-performance with built-in proxy rotation - ⚡ Handles rate limiting and anti-bot measures - 💾 Outputs structured JSON data ## 🎯 Use Cases - 📈 Real estate market analysis - 🏢 Property investment research - 💰 Price trend monitoring - 🗺️ Geographic market analysis - 📊 Data aggregation for real estate platforms ## 💡 Input Parameters The actor accepts the following input parameters: - searchUrls (Required): Array of Funda.nl search URLs to scrape - maxItems (Optional): Maximum number of items to scrape - proxyConfiguration (Optional): Proxy settings for the scraper ## 📝 Output Format The actor outputs data in JSON format, including: - Property details (price, location, size) - Property features and amenities - Listing information - Images and media links - Agent contact information ## 🔨 Usage 1. Input your Funda.nl or Fundainbusiness.nl search URL(s) 2. Configure optional parameters 3. Run the actor and collect the results ## 💪 Limitations - Respects Funda.nl's or Fundainbusiness.nl's terms of service - Rate limiting applied to prevent blocking - Maximum of 10000 results per search URL ### Input Example 1 A full explanation of an input example in JSON. json { "searchUrls": ["https://www.funda.nl/en/zoeken/koop?selected_area=%5B%22bergen-li%22%5D&search_result=1"], "maxItems": 30, "proxyConfiguration": { "useApifyProxy": false, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ### Output sample 1 The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. json [ { "highlight": {}, "agent": [ { "logo_type": "new", "relative_url": "/makelaar/13026-smedema-makelaars-en-taxateurs/", "is_primary": true, "logo_id": 141935042, "name": "Smedema Makelaars & Taxateurs", "association": "NVM", "id": 13026 } ], "number_of_bedrooms": 3, "address": { "country": "NL", "province": "Limburg", "wijk": "Nieuw-Bergen", "city": "Bergen (LI)", "neighbourhood": "Nieuw-Bergen Kern", "identifiers": [ "nl", "bergen-li/straat-siebengewaldseweg", "bergen-li", "gemeente-bergen-li", "provincie-limburg", "bergen-li/nieuw-bergen-kern", "bergen-li/wijk-nieuw-bergen", "5854pc", "5854", "regio-noord-limburg" ], "municipality": "Bergen (LI)", "is_bag_address": true, "house_number": "38", "postal_code": "5854PC", "street_name": "Siebengewaldseweg" }, "plot_area_range": { "gte": 456, "lte": 456 }, "blikvanger": { "enabled": false }, "object_type": "house", "energy_label": "A", "floor_area": [ 125 ], "floor_area_range": { "gte": 125, "lte": 125 }, "type": "single", "thumbnail_id": [ 199527498, 199527499, 199527500, 199527501, 199527503, 199527505, 199527509, 199527512, 199527514, 199527517, 199527520, 199527524, 199527527, 199527530, 199527533, 199527536, 199527538, 199527541, 199527542, 199527543, 199527546, 199527547, 199527548, 199527549, 199527550, 199527553, 199527556, 199527559, 199527562, 199527567, 199527569, 199527572, 199527575, 199527581, 199527584, 199527586, 199527588, 199527589, 199527590, 199527592, 199527594, 199527597, 199527600, 199527605, 199527602, 199527631 ], "offering_type": [ "buy" ], "price": { "selling_price": [ 499000 ], "selling_price_range": { "gte": 499000, "lte": 499000 }, "selling_price_type": "regular", "selling_price_condition": "kosten_koper" }, "plot_area": [ 456 ], "id": 7332972, "available_media_types": [ "floor_plan", "photo_360", "video" ], "publish_date": "2024-10-25T15:15:02.5130000", "object_detail_page_relative_url": "/detail/koop/bergen-li/huis-siebengewaldseweg-38/43787335/", "status": "none", "number_of_rooms": 7, "_index": "listings-wonen-searcher-alias-prod", "_id": "7332972", "_score": null, "sort": [ "basis", 59000, 7332972 ], "_click_id": 0, "placement": "listing_results_normal", "globalId": 7332972 }, ... ] ### Input Example 2 A full explanation of an input example in JSON. json { "searchUrls": ["https://www.fundainbusiness.nl/alle-bedrijfsaanbod/heel-nederland/"], "maxItems": 30, "proxyConfiguration": { "useApifyProxy": false, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ### Output sample 2 The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. json [ { "title": "Lilienthalplein 1, Stadskanaal", "listing_url": "https://www.fundainbusiness.nl/kantoor/stadskanaal/object-43067560-lilienthalplein-1/?navigateSource=resultlist", "price": [ "€ 319.000 k.k.", "€ 138 /m²/jaar" ], "area": [ "226 m²" ], "image_url": "https://cloud.funda.nl/valentina_media/212/123/903_720x480.jpg", "image_alt": "Lilienthalplein 1, Stadskanaal", "makelaar": "Van Beilen Makelaars", "makelaar_url": "https://www.fundainbusiness.nl/makelaar/9216-van-beilen-makelaars/", "listing_type": "regular", "scraped_at": "2025-06-19T03:10:30.864Z" }, ... ]