Funda Propertylist Spider

Introduction

The Funda Propertylist Spider is designed to efficiently scrape property listings from Funda.nl, providing comprehensive data for real estate analysis and decision-making. This actor is perfect for users looking to gather detailed property information for market research, competitive intelligence, or business automation.

Features

• Comprehensive Data Extraction: Captures detailed property information including price, bedrooms, energy label, and more.
• High Performance: Efficiently processes multiple URLs to deliver fast and reliable results.
• Customizable Inputs: Easily configure start URLs to target specific areas or property types.
• Data Quality: Ensures accurate and up-to-date information directly from Funda.nl.
• Scalable: Handles large volumes of data with ease, making it suitable for both small and large-scale projects.
• User-Friendly Interface: Simple setup and execution through the Apify platform.
• Versatile Output Formats: Export results in JSON, CSV, or Excel for easy integration into your workflow.

Input Parameters

Parameter	Type	Required	Description	Example
StartUrls	Array	No	The start URLs for the spider.	["https://www.funda.nl/en/zoeken/koop?selected_area=[%22bergen-li%22]"]

Example Usage

Example Input JSON

{
  "StartUrls": [
    "https://www.funda.nl/en/zoeken/koop?selected_area=[%22bergen-li%22]"
  ]
}

Example Output JSON

[
  {
    "id": 7966834,
    "price": 685000,
    "price_condition": "kosten_koper",
    "bedrooms": 4,
    "rooms": 8,
    "floor_area": 237,
    "plot_area": 1660,
    "energy_label": "B",
    "object_type": "house",
    "construction_type": "resale",
    "street": "Oude Kerkstraat",
    "house_number": "24",
    "postal_code": "5854AC",
    "city": "Bergen (LI)",
    "province": "Limburg",
    "agent_name": "Kolmeijer makelaars Malden",
    "agent_id": 13045,
    "agent_url": "https://www.funda.nl/makelaar/13045-kolmeijer-makelaars-malden/",
    "detail_url": "https://www.funda.nl/detail/koop/bergen-li/huis-oude-kerkstraat-24/43311297/",
    "thumbnail_ids": [227423877, 227423878, 227423884, ...],
    "actor_id": "va275Uj9AJtJA5CxI",
    "run_id": "C8hXloSyex81gkdjL"
  }
]

Use Cases

• Market Research and Analysis: Gather data for understanding real estate trends.
• Competitive Intelligence: Monitor competitor listings and pricing strategies.
• Price Monitoring: Track property prices over time for investment decisions.
• Content Aggregation: Compile property data for websites or applications.
• Academic Research: Analyze housing data for studies and reports.
• Business Automation: Automate data collection for real estate businesses.

Installation and Usage

1. Search for "Funda Propertylist Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The output is a JSON array containing detailed property information. Key fields include price, bedrooms, energy_label, object_type, agent_name, and detail_url. This structured data allows for easy analysis and integration into various applications.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!