Pricing

Pay per usage

Zillow Sold Homes Scraper - Recent Sales Data

Scrape recently sold homes from Zillow. Get sale prices, dates, property details, price history, and agent info. Perfect for real estate investors, market analysis, and comps research.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Ricardo Akiyoshi

Actor stats

Bookmarked

Total users

Monthly active users

6 days ago

Last modified

Categories

Real estate

You can access the Zillow Sold Homes Scraper - Recent Sales Data programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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  "components": {
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        "properties": {
          "location": {
            "title": "Location",
            "type": "string",
            "description": "City, state, zip code, or neighborhood to search for recently sold homes. Use Zillow's URL-friendly slug format: 'los-angeles-ca', 'miami-fl', '90210', 'manhattan-new-york-ny'.",
            "default": "los-angeles-ca"
          },
          "minPrice": {
            "title": "Min Price ($)",
            "minimum": 0,
            "type": "integer",
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          },
          "maxPrice": {
            "title": "Max Price ($)",
            "minimum": 0,
            "type": "integer",
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            "default": 0
          },
          "minBeds": {
            "title": "Min Bedrooms",
            "minimum": 0,
            "maximum": 10,
            "type": "integer",
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          },
          "maxBeds": {
            "title": "Max Bedrooms",
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            "maximum": 10,
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          },
          "daysOnZillow": {
            "title": "Days on Zillow (Sold Within)",
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              "1",
              "7",
              "14",
              "30",
              "90",
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              "12m",
              "24m",
              "36m"
            ],
            "type": "string",
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          },
          "sortBy": {
            "title": "Sort By",
            "enum": [
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            "type": "string",
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          },
          "maxResults": {
            "title": "Max Results",
            "minimum": 0,
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          },
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Zillow Sold Homes & Recent Sales Data Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Zillow Sold Homes Scraper - Recent Sales Data from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Zillow Sold Homes Scraper - Recent Sales Data API in Python

Zillow Sold Homes Scraper - Recent Sales Data API in JavaScript

Zillow Sold Homes Scraper - Recent Sales Data API through CLI

Zillow Sold Homes Scraper - Recent Sales Data API

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