Tommys Profile Scraper

Tommys Profile Scraper is an Apify Actor designed to extract detailed property listing data from Tommys.co.nz, a popular New Zealand real estate website. It automates the process of scraping property profiles, providing structured data on listings such as titles, bedrooms, bathrooms, pricing, and more. This tool is invaluable for real estate professionals, researchers, and businesses needing reliable, up-to-date property information without manual effort.

Features

• Comprehensive Data Extraction: Scrapes key property details including title, bedrooms, bathrooms, parking, price, description, listing ID, built year, property type, and agent information.
• High-Speed Crawling: Utilizes CheerioCrawler for efficient, fast scraping of multiple listings.
• Customizable Requests: Allows setting maximum requests per crawl to control scope and avoid overloading servers.
• Reliable Output: Delivers clean, structured JSON data for easy integration into databases or analysis tools.
• Error-Resilient: Handles missing data gracefully, ensuring consistent output even for incomplete listings.
• Apify Integration: Seamlessly runs on the Apify platform with built-in monitoring and export options.
• Scalable: Suitable for small-scale extractions or larger crawls, depending on input parameters.

Input Parameters

Parameter	Type	Required	Description	Example
startUrls	array	Yes	URLs to start the crawl with. Each URL should point to a Tommys.co.nz property listing page.	[{"url": "https://tommys.co.nz/listing/12-tinakori-road-thorndon/"}]
maxRequestsPerCrawl	integer	No	Maximum number of requests the crawler can make. Helps limit the crawl scope.	100

Example Usage

To run the Actor, provide input parameters in JSON format. Here's an example:

{
  "startUrls": [
    {
      "url": "https://tommys.co.nz/listing/12-tinakori-road-thorndon/"
    }
  ],
  "maxRequestsPerCrawl": 50
}

Example output in JSON:

[
  {
    "product_title": "",
    "bedrooms": "",
    "bathrooms": "",
    "parking": "",
    "price": "",
    "description": "Unfortunately the page you\u2019re looking for does not exist.Created by Grow My Business",
    "lisiting_id": "",
    "built_year": "",
    "property_type": "",
    "agents": []
  }
]

Use Cases

• Market Research and Analysis: Gather data on property trends, pricing, and availability for real estate market studies.
• Competitive Intelligence: Monitor competitors' listings to inform pricing strategies or market positioning.
• Price Monitoring: Track price changes on specific properties for investment or rental opportunities.
• Content Aggregation: Compile property data for websites, apps, or reports on New Zealand real estate.
• Academic Research: Collect data for studies on housing markets, urban development, or economic indicators.
• Business Automation: Integrate scraped data into CRM systems or automated workflows for lead generation.

Installation and Usage

1. Search for "Tommys Profile Scraper" 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 array format, where each object represents a scraped property listing. Key fields include:

• product_title: The title of the property listing.
• bedrooms: Number of bedrooms.
• bathrooms: Number of bathrooms.
• parking: Parking details.
• price: Listed price.
• description: Full property description.
• listing_id: Unique identifier for the listing.
• built_year: Year the property was built.
• property_type: Type of property (e.g., house, apartment).
• agents: Array of agent details (may be empty if not available).

Data is extracted directly from the page; fields may be empty if information is missing.

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!

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