What does Funda.nl Property Search Scraper do?

The Funda.nl Property Search Scraper is a powerful tool designed to extract comprehensive property data from the Funda.nl platform. It provides detailed property information in structured formats like JSON, making it easy to use in your reports, spreadsheets, and applications.

With the Funda.nl Property Search Scraper, you can:

• Effortlessly extract property details from Funda.nl.
• Access data in structured formats like JSON for seamless integration and analysis.
• Collect detailed property information from all regions where Funda.nl operates.

The information collected is included:

• ID
• URL
• Name
• Image URLs
• Address
• Price
• Currency
• Details
• Description
• Seller
• Category

Input & Output

To start collecting Funda property data, simply fill out the input form. Funda.nl Property Search Scraper recognizes the following input parameters:

• URLs - Links to property list by query pages. If you want to scrape from any page, enter the URL of that page, and set the total of pages to scrape. You can paste URLs one at a time or use the Bulk Edit section to add a prepared list.
• Total pages to scrape - If you use a property listing page path type, don't forget to fill in this field, which allows you to choose the total page when crawling from the property listing page.
• Limit the number of retries - Maximum number of retries for each URL when collecting data when an unexpected error occurs.
• Proxy configuration - Add a proxy to ensure that during the data collection process, you are not detected as a bot.

Collect property data from property list by query pages

Example url: https://www.funda.nl/zoeken/koop/?selected_area=[%22gemeente-lochem%22]

Example Screenshot of property list by query page:

Input:

1{
2  "max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided.
3  "proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot.
4    "useApifyProxy": true,
5    "apifyProxyGroups": [
6      "RESIDENTIAL" 
7    ],
8    "apifyProxyCountry": "SG" // You should choose an Country that coincides with the Country you want to collect data from
9  },
10  "total_pages_to_scrape": 10, // Total page you want scrape
11  "urls": [ // Links to property list by query pages.
12    "https://www.funda.nl/zoeken/koop/?selected_area=[%22gemeente-lochem%22]"
13  ]
14}

Output:

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

1[ // List of property information
2  {
3    "id": "43860189",
4    "url": "https://www.funda.nl/detail/koop/lochem/huis-badhuisweg-1/43860189/",
5    "name": "Badhuisweg 1",
6    "image_urls": [
7      "https://cloud.funda.nl/valentina_media/203/477/468_180x120.jpg 180w, https://cloud.funda.nl/valentina_media/203/477/468_360x240.jpg 360w, https://cloud.funda.nl/valentina_media/203/477/468_720x480.jpg 720w",
8      "https://cloud.funda.nl/valentina_media/203/213/388_180x120.jpg 180w, https://cloud.funda.nl/valentina_media/203/213/388_360x240.jpg 360w, https://cloud.funda.nl/valentina_media/203/213/388_720x480.jpg 720w",
9      "https://cloud.funda.nl/valentina_media/203/213/393_180x120.jpg 180w, https://cloud.funda.nl/valentina_media/203/213/393_360x240.jpg 360w, https://cloud.funda.nl/valentina_media/203/213/393_720x480.jpg 720w",
10      "https://cloud.funda.nl/valentina_media/186/784/277_180x180.jpg 180w, https://cloud.funda.nl/valentina_media/186/784/277_360x360.jpg 360w, https://cloud.funda.nl/valentina_media/186/784/277_720x720.jpg 720w",
11      "https://cloud.funda.nl/valentina_media/186/784/277_180x180.jpg 180w, https://cloud.funda.nl/valentina_media/186/784/277_360x360.jpg 360w, https://cloud.funda.nl/valentina_media/186/784/277_720x720.jpg 720w"
12    ],
13    "address": "7241DD Lochem",
14    "price": 1200000.0,
15    "currency": "€",
16    "details": {
17      "floor_area": "459 m²",
18      "plot_area": "1.369 m²",
19      "bedrooms": "5",
20      "energy_label": "A+"
21    },
22    "description": "Geheel gerenoveerd koetshuis, omsloten door een heerlijke tuin",
23    "seller": {
24      "name": "De Haan Schippers Makelaars | Baerz & Co",
25      "url": "https://www.funda.nl/makelaar/3147-de-haan-schippers-makelaars-baerz-en-co/"
26    },
27    "category": "in Gemeente Lochem"
28  }, // ... Many other property details
29]

How can I use the data extracted from Funda with Funda.nl Property Search Scraper?

💙 Boost Brand Awareness: Use data insights to enhance your brand's visibility and reputation in the real estate market.

📈 Analyze Trends and Market Dynamics: Identify emerging trends and understand the impact of various property categories, brands, or sellers.

🔬 Enhance Research and Development: Utilize property data for detailed market research and testing strategies.

⭐ Evaluate and Score Authentic Reviews: Count and analyze genuine property reviews to support sentiment analysis and buyer feedback.

🪧 Plan Targeted Commercial Campaigns: Design impactful campaigns on Funda.nl or other real estate platforms using data-driven strategies.

📚 Simplify Market and Marketing Research: Streamline your research efforts and craft effective marketing campaigns with precise insights.

📋 Generate High-Quality Marketing Leads: Compile a list of perfectly targeted leads to improve conversion rates and drive growth.

Your feedback

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