Funda Real Estate Data Extractor
by hris100
Unlock real estate insights from Funda.nl. This high-performance scraper delivers structured data on property prices, details, and agent info. Essenti...
Opens on Apify.com
About Funda Real Estate Data Extractor
Unlock real estate insights from Funda.nl. This high-performance scraper delivers structured data on property prices, details, and agent info. Essential for professionals, analysts, and investors seeking reliable data for market analysis, lead generation, and competitive research.
What does this actor do?
Funda Real Estate Data Extractor is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Funda Scraper Funda Scraper is an Apify actor for extracting real estate data from Funda.nl, the leading Dutch property portal. It allows you to scrape property details, including price, location, size, number of rooms, and more. ## Features - Scrape property listings from Funda.nl. - Extract detailed information for each property. - Paginate through search results to collect comprehensive data. - Customizable search parameters through input configuration. ## Input The actor takes the following input parameters: - start_page: The page number to start scraping from. (Default: 1) - max_pages: The maximum number of pages to scrape. (Default: 300) Example input: json { "start_page": 1, "max_pages": 10 } ## Output The actor outputs a dataset with the following fields for each property: - ID: The unique identifier for the property. - Titel: The title of the property listing. - Straat: The street address of the property. - Plaats: The city where the property is located. - Postcode: The postal code of the property. - Prijs: The price of the property. - Soort woning: The type of property (e.g., apartment, house). - Woonoppervlakte: The living area in square meters. - Aantal kamers: The total number of rooms. - Aantal slaapkamers: The number of bedrooms. - Beschikbaar per: The date the property is available from. - Makelaar: The name of the real estate agent. - Makelaar Website: The website of the real estate agent. - Fotos: A list of URLs for the property photos. - WebsiteURL: The URL of the property listing on Funda.nl. - Description: A detailed description of the property.
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Funda Real Estate Data Extractor now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- hris100
- Pricing
- Paid
- Total Runs
- 164
- Active Users
- 3
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