Allhomes Actor

Introduction

The Allhomes Actor is a powerful web scraping tool designed to extract detailed property sales data from Allhomes.com.au, Australia's leading property portal. It enables users to gather comprehensive information on recent property transactions, including prices, addresses, and property details, directly from the source. This actor is ideal for real estate professionals, investors, and analysts seeking reliable, up-to-date market insights to inform decisions.

Features

• Comprehensive Data Extraction: Scrapes detailed property sales records, including dates, prices, addresses, and property specifications like bedrooms, bathrooms, and parking.
• Location-Based Scraping: Targets specific locations for precise, localized data retrieval, ensuring relevance to user-defined areas.
• High Reliability: Built with robust error handling and proxy support to minimize failures and ensure consistent data quality.
• Fast Performance: Optimized for quick execution, processing large volumes of data efficiently without compromising accuracy.
• Flexible Output: Delivers structured JSON data that's easy to integrate into databases, spreadsheets, or analytics tools.
• Proxy Integration: Supports custom proxy configurations to enhance anonymity and avoid IP blocking during scraping.
• Apify Platform Compatibility: Seamlessly integrates with Apify's ecosystem for scheduling, monitoring, and exporting results.

Input Parameters

Parameter	Type	Required	Description	Example
location	string	Yes	The location to scrape property data from, specified in a format like 'suburb-state-postcode'. This determines the geographic area for data extraction.	"bellambi-nsw-2518"
proxyConfiguration	object	No	Configures proxy servers to mask the scraper's origin and prevent blocking. Includes options for using Apify Proxy or custom proxies.	{"useApifyProxy": false}

Example Usage

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

{
  "location": "bellambi-nsw-2518",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

The actor will output a JSON array of property sales data, such as:

[
  {
    "date": "2025-12-16T00:00:00",
    "url": "https://www.allhomes.com.au/75-cawley-street-bellambi-nsw-2518",
    "public_visible_date": "2025-11-27T15:21:40",
    "property_type": "HOUSE",
    "bedrooms": 4,
    "bathrooms": 1,
    "parking": 2,
    "address": "75 Cawley Street",
    "division": "Bellambi",
    "postcode": "2518",
    "agency": "Dignam Real Estate",
    "price": 1300000,
    "contractDate": "2025-12-16T00:00:00",
    "transferDate": null,
    "transfer_type": "FULL",
    "transfer_label": null,
    "source": "Allhomes Record"
  }
]

Use Cases

• Market Research and Analysis: Analyze property sales trends in specific suburbs to identify emerging markets or undervalued areas.
• Competitive Intelligence: Monitor competitors' sales data and pricing strategies for real estate agencies.
• Price Monitoring: Track historical and recent property prices to inform investment or appraisal decisions.
• Content Aggregation: Collect property data for blogs, reports, or databases focused on real estate news.
• Academic Research: Gather data for studies on housing markets, urban development, or economic indicators.
• Business Automation: Automate data collection for CRM systems, dashboards, or automated reporting tools in real estate businesses.

Installation and Usage

1. Search for "Allhomes Actor" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (e.g., set the location).
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 as a JSON array of objects, each representing a property sale record. Key fields include:

• date: The sale date in ISO format.
• url: Link to the property listing.
• property_type: Type of property (e.g., HOUSE).
• bedrooms, bathrooms, parking: Property specifications.
• address, division, postcode: Location details.
• agency: Selling agency.
• price: Sale price in AUD.
• contractDate, transferDate: Dates related to the transaction.
• transfer_type: Type of transfer (e.g., FULL).
• source: Data origin (Allhomes Record).

This structured format ensures easy parsing and integration.

Error Handling

The actor includes built-in error handling for common issues like network timeouts, invalid locations, or website changes. If an error occurs, it logs details for review. For persistent issues, ensure the location format is correct and consider enabling proxies. Failed runs can be retried via the Apify platform.

Rate Limiting and Best Practices

• Rate Limiting: Adheres to Allhomes.com.au's terms to avoid overloading servers; runs are paced to prevent blocking.
• Best Practices: Use proxies for large-scale scraping. Limit concurrent runs to one per location. Validate inputs before starting. Schedule runs during off-peak hours for optimal performance. Monitor logs for errors and adjust parameters as needed.

Limitations and Considerations

• Data is sourced from Allhomes.com.au and may not include all historical records.
• Accuracy depends on the website's data; occasional discrepancies could occur.
• Scraping is subject to the website's terms of service; use responsibly.
• Large locations may result in extensive data, potentially increasing run time and costs.
• Not suitable for real-time data; results reflect available historical sales.

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!