Cambridge Parser Spider

The Cambridge Parser Spider is an Apify Actor designed to efficiently scrape and extract detailed property listings from Cambridge Real Estate's website. It automates the collection of comprehensive data such as property details, pricing, agent information, and images, enabling users to gather insights without manual effort. This tool is ideal for real estate professionals, researchers, and businesses seeking accurate, structured data for analysis and decision-making.

Features

• Comprehensive Data Extraction: Captures key property attributes including title, price, address, bedrooms, bathrooms, garages, floor and land area, summary, description, open home details, image URLs, and agent contact information.
• Multi-URL Support: Processes multiple property listing URLs in a single run, allowing for batch scraping and efficient data collection.
• Structured JSON Output: Delivers clean, machine-readable data in JSON format, perfect for integration with databases, analytics tools, or further processing.
• Reliable Parsing: Utilizes robust web scraping techniques to handle dynamic content and ensure high data accuracy from Cambridge Real Estate listings.
• Performance Optimized: Designed for speed and scalability, minimizing resource usage while handling multiple listings seamlessly.
• Error Handling: Includes built-in mechanisms to manage failed requests or incomplete data, ensuring reliable operation.
• Customizable Inputs: Flexible URL input allows targeting specific properties or entire listings for tailored data extraction.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	An array of URLs pointing to Cambridge Real Estate property listings to scrape. Each URL must be a valid HTTP or HTTPS link.	["https://cambridgerealestate.co.nz/our-latest-listings/residential-listings/listing/32491343/8-grace-avenue"]

Example Usage

To run the Cambridge Parser Spider, provide the input in JSON format as shown below:

{
  "Urls": [
    "https://cambridgerealestate.co.nz/our-latest-listings/residential-listings/listing/32491343/8-grace-avenue"
  ]
}

The Actor will process the URLs and output structured data like this:

[
  {
    "Property_ID": "https:",
    "Title": "Residential | Cambridge Real Estate",
    "Price": "Sold by Private Treaty on December 10 2025",
    "Address": "Residential",
    "Bedrooms": "3",
    "Bathrooms": "1",
    "Garages": "2",
    "Floor_Area": "140m²",
    "Land_Area": "948m²",
    "Summary": "This well presented property offers three comfortable bedrooms and one well-appointed bathroom and designed to catch the all day sun add a private patio area for entertaining and all set on a generous 947sqm section. The spacious grounds feature a variety of fruit trees, providing both shade and seasonal delights with generous shedding also for those who wish to grow their own produce this is a great opportunity. Located in a quiet, sheltered neighbourhood and just a short distance from the local school, it's ideal for families.",
    "Description": "This well presented property offers three comfortable bedrooms and one well-appointed bathroom and designed to catch the all day sun add a private patio area for entertaining and all set on a generous 947sqm section. The spacious grounds feature a variety of fruit trees, providing both shade and seasonal delights with generous shedding also for those who wish to grow their own produce this is a great opportunity. Located in a quiet, sheltered neighbourhood and just a short distance from the local school, it's ideal for families. The home includes the comfort of underfloor heating throughout and a double garage, adding both convenience and practicality to this appealing package.",
    "Open_Home_Date": null,
    "Open_Home_Time": null,
    "Image_URLs": [
      "https://cambridgerealestate.co.nz/assets/VaultPhotos/Agents/293942/small__FocusFillWyIwLjAwIiwiMC4wMCIsMTkyLDE5Ml0.1761633765293942image.jpg"
    ],
    "Agent": {
      "name": "Graham",
      "role": "Residential & Lifestyle Sales Consultant",
      "phone": "027 448 7658",
      "email": "graham",
      "profile_url": "https://cambridgerealestate.co.nz/about-us/our-team/graham-ban",
      "photo": "https://cambridgerealestate.co.nz/assets/VaultPhotos/Agents/293942/small__FocusFillWyIwLjAwIiwiMC4wMCIsMTkyLDE5Ml0.1761633765293942image.jpg"
    },
    "URL": "https://cambridgerealestate.co.nz/our-latest-listings/residential-listings/listing/32491343/8-grace-avenue",
    "Crawled_Date": "01-14-2026",
    "actor_id": "mFslarCcYShzapz1q",
    "run_id": "sgdRboXqqvAcr4KDT"
  }
]

Use Cases

• Market Research and Analysis: Gather data on property prices, features, and trends in Cambridge to inform investment decisions.
• Competitive Intelligence: Monitor competitors' listings and pricing strategies for real estate agencies.
• Price Monitoring: Track property values over time to identify market fluctuations and opportunities.
• Content Aggregation: Collect property details for websites, apps, or reports requiring up-to-date real estate information.
• Academic Research: Support studies on housing markets, demographics, and urban development with reliable data.
• Business Automation: Automate data feeds for CRM systems, newsletters, or automated reporting tools.

Installation and Usage

1. Search for "Cambridge Parser 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 Actor outputs data in JSON format as an array of objects, each representing a scraped property listing. Key fields include Property_ID, Title, Price, Address, Bedrooms, Bathrooms, Garages, Floor_Area, Land_Area, Summary, Description, Open_Home_Date, Open_Home_Time, Image_URLs (an array of strings), Agent (an object with name, role, phone, email, profile_url, and photo), URL, Crawled_Date, actor_id, and run_id. This structure ensures easy parsing and integration, with null values for unavailable data.

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!