🏠 Funda Search Scraper Collect fresh property listings from Funda by starting with any search results URL. The actor keeps browsing through the catalog, captures the details buyers care about, and delivers a structured dataset ready for analysis. ## Features - Flexible search input: Begin with any Funda results page, including filters for rent, price range, availability, or specific regions. - Automatic pagination: Continues through result pages until the requested number of listings is gathered. - Complete listing profiles: Captures address, asking price, property highlights, agent contact, and media references. - Freshness indicators: Flags recently published homes so you can monitor hot opportunities. - Consistent formatting: Every record follows the same layout, making it simple to load into dashboards or share with clients. ## Input Parameters | Field | Type | Required | Description | |------------|---------|----------|-------------------------------------------------------| | searchUrl| string | Yes | Any Funda search results URL (rent or buy) | | maxItems | integer | No | Maximum number of listings to save (default 100) | ## Output Each dataset item includes: - searchUrl: Search results page used as the source - title: Street name or primary headline - address: City and postal code block - detailPageUrl: Direct link to the listing - imageUrl: Cover photo if available - price: Asking price text as shown on Funda - surface: Reported living area - numRooms: Highlighted number of rooms - energyLabel: Latest energy performance label - realtor / realtorLink: Agent name and profile link - isNew: Whether the listing carries the “Nieuw” label - scrapedAt: Timestamp of capture Example output: json [ { "searchUrl": "https://www.funda.nl/zoeken/huur?selected_area=[\"utrecht\"]&price=\"1500-2500\"", "title": "Oudegracht 214", "address": "Utrecht", "detailPageUrl": "https://www.funda.nl/huur/utrecht/appartement-42123456-oudegracht-214/", "imageUrl": "https://cloudfront.funda.nl/valentina_production/medias/123/456/789_1080x720.jpg", "price": "€ 1.950 /mnd", "surface": "95 m²", "numRooms": "3 kamers", "energyLabel": "Label B", "realtor": "Domstad Makelaars", "realtorLink": "https://www.funda.nl/makelaars/utrecht/12345-domstad-makelaars/", "isNew": true, "scrapedAt": "2025-11-14T08:30:12.000Z" }, ... ] ## Use Cases - Lead generation for relocation services - Competitive monitoring for property managers - Portfolio scouting for investors - Trend analysis for housing market researchers - Client-ready property digests for realtors ## Notes - Use focused filters in the Funda URL to stay within regional or budget targets. - Increase maxItems when you need broader coverage across multiple pages. - Pair the dataset with mapping or BI tools for quick visual insights. --- Track the Dutch housing market with dependable Funda data.