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🏡 Allhomes Search Spider · Apify Actor

Extract property sales and listing intelligence from Allhomes search results using clean, structured JSON — perfect for real estate analytics, market research, and investment insights.

Built and maintained by DataWizards.

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📌 What Is Allhomes Search Spider?

The Allhomes Search Spider Apify Actor enables you to crawl and extract property transaction and listing data from Allhomes based on a specific location slug (e.g. suburb, city, or postcode).

It gathers key real estate attributes such as property type, price, bedrooms, bathrooms, agency, and transaction dates — without manual browsing or scraping complexity.

This actor is ideal for real estate analysts, property investors, data teams, and PropTech platforms.

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🧠 Key Features

• ✅ Extracts property sales data by location
• ✅ Structured JSON output ready for analytics
• ✅ Includes price, property type, beds, baths, parking
• ✅ Captures agency, address, postcode, and division
• ✅ Supports Apify Proxy (RESIDENTIAL IPs)
• ✅ Fast, scalable, and automation-ready
• ✅ Designed for Australian real estate research

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🛠️ Input Schema

Provide a valid Allhomes location slug and enable Apify Proxy.

{
  "Location": "sydney-nsw-2000",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}

🔐 Proxy Configuration

• useApifyProxy: Must be set to true
• apifyProxyGroups: "RESIDENTIAL" is recommended for accuracy and stability

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📤 Output Example

[
  {
    "date": "2025-12-24T00:00:00",
    "url": "https://www.allhomes.com.au/level-16-unit-1603-1-hosking-place-sydney-nsw-2000-16259836",
    "public_visible_date": "2025-11-04T13:18:06",
    "property_type": "APARTMENT",
    "bedrooms": 1,
    "bathrooms": 1,
    "parking": 0,
    "address": "1603/1 Hosking Place",
    "division": "Sydney",
    "postcode": "2000",
    "agency": "Sydney Cove Property",
    "price": 700000,
    "contractDate": "2025-12-24T00:00:00",
    "transferDate": 700000,
    "transfer_type": 700000,
    "transfer_label": 700000,
    "source": 700000
  }
]

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📊 Data Highlights

• Property sale date and visibility date
• Full listing URL
• Property type (Apartment, House, etc.)
• Bedrooms, bathrooms, parking
• Address, postcode, and city division
• Selling agency
• Transaction and price-related metadata

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🚀 Use Cases

• 🏘️ Property Market Analysis – Track prices by suburb or postcode
• 📈 Investment Research – Identify trends in apartment vs house sales
• 🧠 PropTech Platforms – Power dashboards and valuation tools
• 📊 Data Aggregation – Feed BI tools and internal analytics
• 🤖 Automation Pipelines – Schedule recurring market snapshots

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✅ Best Practices

• Always use RESIDENTIAL proxies for consistent results
• Use valid and accurate location slugs
• Avoid excessive request frequency for large cities
• Store URLs or dates to prevent duplicate processing
• Combine with visualization tools for deeper insights

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🤝 Support & Customization

Need additional fields, simplified output, or new locations supported? DataWizards are always ready for you.

📩 Email: hello.datawizard@gmail.com ✉️ Email Subject: Allhomes Search Spider – Support Request 🔗 LinkedIn: https://linkedin.com/in/data-wizards-aa8080342

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🧰 Need Something More?

Whether you want:

• Custom property filters
• Normalized or enriched datasets
• Additional Australian portals
• Bug fixes or performance improvements

👉 DataWizards will build it for you.

For more custom/simplified outputs or bug reports, please contact: 📧 hello.datawizard@gmail.com ✉️ Subject: Custom Support – Allhomes Search Spider

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🐞 Feedback & Bug Reports

Found an issue or want a new feature?

📧 Email: hello.datawizard@gmail.com ✉️ Subject: Bug Report – Allhomes Search Spider Or report directly via Apify Issues.

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🏁 Start extracting Australian real estate intelligence with Allhomes Search Spider —

your reliable solution for structured Allhomes property data.

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