Funda.nl Scraper - Low-costπŸ’²πŸ”₯πŸ πŸ‡³πŸ‡± avatar

Funda.nl Scraper - Low-costπŸ’²πŸ”₯πŸ πŸ‡³πŸ‡±

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Funda.nl Scraper - Low-costπŸ’²πŸ”₯πŸ πŸ‡³πŸ‡±

Funda.nl Scraper - Low-costπŸ’²πŸ”₯πŸ πŸ‡³πŸ‡±

Scrape Funda.nl property listings πŸ‘πŸ‡³πŸ‡± with a powerful Dutch real estate scraper. Extract property prices, addresses, property types, sizes, agent details, listing URLs, and more with area-based filters. Ideal for market analysis, investment research, lead generation & real estate intelligence πŸ“Š

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from $0.00005 / actor start

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Funda.nl Search Scraper


Funda.nl Property Search Scraper | Real Estate Listings Scraper Netherlands | Apify Actor

πŸš€ Extract Funda.nl Property Listings in Seconds (No Code)

The Funda.nl Property Search Scraper (Apify Actor) is a powerful, scalable and SEO-optimized real estate scraping tool designed to extract property listings directly from Funda.nl, the leading real estate marketplace in the Netherlands.

It allows you to scrape Funda property listings in bulk, collect structured real estate data, and export datasets for property intelligence, market research, lead generation, real estate analytics, investment research, and AI training datasets.


πŸ”₯ Why This Funda.nl Scraper?

βœ” Best Funda.nl scraper on Apify

βœ” Supports multi-area property scraping (SEO BOOST πŸš€)

βœ” Fast & scalable property data extraction

βœ” 100% structured JSON / CSV / Excel output

βœ” Ideal for Dutch real estate market intelligence

βœ” Perfect for investors, agencies, researchers & proptech startups

βœ” Automatic pagination support

βœ” No coding required


🎯 What This Scraper Does (Funda Real Estate Data Extraction)

This Apify Actor extracts real-time property listings from Funda.nl search results.

πŸ“Œ Core Features:

βœ… Scrape Funda.nl property listings

βœ… Multi-area scraping support (SEO BOOST πŸš€)

βœ… Region-based property search

βœ… Automatic pagination handling

βœ… Extract listing IDs and property details

βœ… Extract property prices and locations

βœ… Extract surface area and lot size

βœ… Extract number of rooms

βœ… Extract energy labels

βœ… Extract agency information

βœ… Extract property images and listing URLs

βœ… Clean structured dataset output

βœ… High-speed extraction engine


⚑ Input Configuration (Simple & Powerful)

πŸ”₯ MULTI-AREA MODE (SEO BOOST πŸš€)

{
"base_urls": [
"https://www.funda.nl/en/zoeken/koop?selected_area=[\"amsterdam\"]",
"https://www.funda.nl/en/zoeken/koop?selected_area=[\"rotterdam\"]",
"https://www.funda.nl/en/zoeken/koop?selected_area=[\"utrecht\"]"
],
"page_number": 1,
"maxitems": 150
}

Single Area Example

{
"base_url": "https://www.funda.nl/en/zoeken/koop?selected_area=[\"bergen-li\"]",
"page_number": 2,
"maxitems": 15
}

πŸ“Š Extracted Property Data (Structured Output)

FieldDescription
listing_idUnique property identifier
titleProperty title
locationProperty location
priceProperty price
surfaceLiving area
terrainLot size
roomsNumber of rooms
energy_labelEnergy rating
image_urlMain property image
detail_linkListing URL
agencyReal estate agency
agency_linkAgency profile URL
is_newNew listing status

πŸ’‘ Use Cases (High Demand SEO Keywords)

This Funda scraper is used for:

🏠 Netherlands property scraping

πŸ“Š Dutch real estate market analysis

πŸ’° Property investment research

πŸ“ˆ Housing price monitoring

🏒 Real estate lead generation

πŸ€– AI training datasets (property data)

πŸ“‘ Property aggregation platforms

πŸ” Competitor monitoring

⚑ Bulk real estate data extraction


πŸš€ Key Features (Apify SEO Optimized)

⚑ Multi-area property scraping

🌍 Netherlands real estate coverage

πŸ“Œ Smart pagination system

🧠 Clean structured output

πŸ“Š High-speed extraction engine

πŸ” Auto retry & stability system

πŸ’Ύ Export-ready datasets

🏘️ Agency and property intelligence

βš™οΈ Scalable cloud execution (Apify Actor)


πŸ“€ Output Formats Supported

βœ” JSON (structured API ready)

βœ” CSV (Excel analysis)

βœ” Excel XLSX (business reports)

βœ” XML (data pipelines)

βœ” HTML (dashboards)

βœ” RSS feeds


πŸ“¦ Example Output

{
"listing_id": "43993068",
"title": "Siebengewaldseweg 127",
"location": "5854 PB Bergen (LI)",
"price": "€649,000 k.k.",
"surface": "150 mΒ²",
"terrain": "7,970 mΒ²",
"rooms": "3",
"energy_label": "F",
"agency": "Peelrand Makelaardij",
"agency_link": "https://www.funda.nl/en/makelaar/14211-peelrand-makelaardij/",
"image_url": "https://cloud.funda.nl/image.jpg",
"detail_link": "https://www.funda.nl/en/detail/koop/bergen-li/huis-siebengewaldseweg-127/43993068/",
"is_new": false
}

πŸ”₯ Why This is the BEST Funda.nl Scraper on Apify?

βœ” Optimized for Apify marketplace ranking

βœ” High-performance real estate extraction engine

βœ” Multi-area scraping support

βœ” Clean structured dataset output

βœ” Enterprise-ready scalability

βœ” Property investor friendly

βœ” Perfect for SEO traffic & marketplace visibility


πŸ’Έ Pricing

This scraper runs on a pay-per-result pricing model.

You only pay for successfully extracted records.

πŸ’³ Price: $0.74 / 1,000 results


❓ FAQ (SEO BOOST SECTION)

Can I scrape multiple regions at once?

Yes β€” multi-area mode is supported.

Can I collect large volumes of properties?

Yes β€” simply increase pagination and maxitems.

Is this scraper suitable for real estate market research?

Absolutely. It is designed for property intelligence and market analysis.

Is coding required?

No β€” 100% no-code Apify Actor.

Can I export data?

Yes β€” JSON, CSV, Excel, XML, HTML and RSS are supported.


⚠️ Disclaimer

This tool is not affiliated with Funda.nl. It is an independent data extraction solution.


We are building a full PrimeScrape Real Estate Intelligence Suite:

πŸ‘‰ Coming Soon πŸš€


🌍 PrimeScrape Ecosystem

Built for data scraping, automation, AI training datasets, lead generation and market intelligence at scale.

🏠 Real estate intelligence

πŸ“Š Property market analytics

🏒 Company data extraction

πŸ€– AI datasets

πŸ“ˆ Investment research

βš™οΈ Automation pipelines


πŸ“¬ Support

⭐⭐⭐⭐⭐ Leave a review if you like this scraper

πŸ“© Contact us for custom scraping solutions and enterprise-scale real estate data projects