🏠 Zillow Property Value & Tax Archives

📖 Introduction

Unlock deep insights into real estate assets with the Zillow Property Value & Tax Archives actor. This specialized tool is designed to reconstruct the financial timeline of properties by extracting comprehensive historical data. Whether you are tracking market fluctuations or analyzing tax assessments over the years, this actor provides the raw data needed for thorough property investment analysis.

It is specifically engineered to handle the priceAndtaxHistory data scope, delivering granular details on past sales, listing changes, and annual tax evaluations.

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✨ Key Capabilities

• Historical Price Analysis: Access a complete log of price changes, including listing events, sales, and price adjustments.
• Tax Record Retrieval: Pull year-by-year tax assessment data, including tax amounts and assessed values.
• Bulk Processing: Efficiently handle lists of multiple properties in a single run.
• Customizable Depth: Control the volume of history retrieved to balance detail with performance.

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🛠️ Configuration

The actor accepts a JSON input object to define the scope of data extraction.

Essential Input

Parameter	Type	Mandatory	Description
zuid_list	Array	Yes	A list of Zillow Unique Identifiers (ZUIDs) for the target properties.

Optional Settings

Parameter	Type	Default	Description
countOfPrice	Integer	10	The maximum number of price history events to retrieve per property.
countOfTax	Integer	10	The maximum number of tax history records to retrieve per property.

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📥 Input Example

{
  "zuid_list": [
    "20918231",
    "55667788",
    "99887766"
  ],
  "countOfPrice": 20,
  "countOfTax": 15
}

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📤 Sample Output

The actor outputs a dataset where each item represents the history for a single property.

{
  "zuid": "20918231",
  "priceHistory": [
    {
      "date": "2023-11-20",
      "price": 525000,
      "event": "Sold"
    },
    {
      "date": "2023-09-15",
      "price": 530000,
      "event": "Price Change"
    }
  ],
  "taxHistory": [
    {
      "year": 2023,
      "taxAmount": 6100,
      "assessedValue": 510000
    },
    {
      "year": 2022,
      "taxAmount": 5950,
      "assessedValue": 495000
    }
  ]
}

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💡 Pro Tips

• Performance Tuning: Adjust countOfPrice and countOfTax based on your needs. Lower counts result in faster scraping execution.
• Data Consistency: Use valid ZUIDs to ensure successful data retrieval.
• Usage: Ideal for building longitudinal datasets for real estate market models.