Comprehensive Dutch Property Data for Market Analysis and Investment
URLs to start with.
When enabled, fetches additional neighborhood insights including inhabitants, families with children, and average asking price per m². This data is retrieved from the Funda Market Insights API.
Maximum number of pages that can be processed at the same time.
Minimum number of pages that will be processed at the same time.
Number of times the crawler will retry a failed request before giving up.
The Key-Value Store serves as a persistent database for storing listings, ensuring both deduplication and long-term data retention. By specifying a custom store name (using any combination of letters, numbers, and hyphens), you can preserve the listings indefinitely until manual deletion. If no store name is provided, the data will be saved to the default store which has standard retention limits. This named storage approach is particularly useful when you need to maintain listing data beyond th..
Results to deliver
100 creditsThis agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.
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Pricing
This tool extracts extensive property listing details from Funda.nl, the leading Dutch real estate platform. Get precise information on address, pricing, features, energy labels, and rich media, enabling thorough market research and property valuation in the Netherlands.
### Access Detailed Property Information from Funda.nl For anyone navigating the Dutch real estate market – from property investors and real estate agents to market researchers and developers – having accurate, detailed, and current data is essential. This tool automates the extraction of a deep set of information directly from Funda.nl, the Netherlands' primary property portal. It goes beyond basic listings to provide a granular view of each property, saving countless hours of manual data collection. #### What Data You Get Each run delivers a rich dataset for every property, including its full address details, current asking price, and whether it's been sold or rented. You'll receive a comprehensive description of the property, along with key characteristics like living area, plot size, number of bedrooms, and the property's energy label. For a complete visual understanding, the tool extracts links to all available photos, videos, 360-degree tours, and floor plans. Additionally, you get insights into how many times a listing has been viewed and saved on Funda.nl. #### Optional Neighborhood Insights To enrich your analysis, you can choose to include detailed neighborhood data. This optional feature taps into the Funda Market Insights API to provide aggregated statistics for the property's immediate area. This includes demographic information such as the number of inhabitants, families with children, and the average asking price per square meter in that specific neighborhood. This context is invaluable for understanding local market dynamics and property value drivers. #### Data Retention and Deduplication The tool offers flexible data storage options. By default, your extracted listings are saved to a temporary store. However, for long-term projects or ongoing monitoring, you can name your storage for listings. This creates a persistent database that ensures deduplication – preventing duplicate entries if you run the tool multiple times on the same properties – and retains your data indefinitely until you choose to delete it. This is particularly useful for building historical datasets or tracking changes over time.
Start by providing the specific Funda.nl property URLs you wish to extract data from in the 'Start URLs' field.
Optionally, enable 'Include neighborhood data' to fetch additional insights on local demographics and average prices.
To store your extracted listings indefinitely and prevent duplicates, enter a custom name for your storage in the 'Name your storage for listings' field.
Adjust concurrency settings if you need to control the number of pages processed simultaneously.
Run the tool, and it will navigate to the provided URLs, extracting all available property details.
Once the run is complete, download your comprehensive property data in your preferred format.