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Multi Purpose Zillow Data Scraper

Try for free

Scrape Zillow property data (Rent, Sale, Sold) and deep home details fast! 🏡 Extract prices, units, addresses, and all image URLs using geographic bounding box filters. Perfect for market research and real estate lead gen. Professional Zillow extractor with clean JSON/CSV output.

Pricing

from $99.00 / 1,000 listing-scrapeds

Rating

0.0

(0)

Developer

Emmanuel Uchenna

Actor stats

Bookmarked

Total users

Monthly active users

3 months ago

Last modified

Categories

Real estate

Lead generation

Automation

You can access the Multi Purpose Zillow Data Scraper 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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          },
          "search_value": {
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            "type": "string",
            "description": "Enter a city, state, or ZIP code (e.g., 'Austin, TX'). Note: Geographic coordinates will override this if provided for search types."
          },
          "property_url": {
            "title": "Property URL",
            "type": "string",
            "description": "Direct Zillow URL of the property (Required for 'Home Details' or 'Apartment Details' if ID is not provided)."
          },
          "property_id": {
            "title": "Property ID (ZPID)",
            "type": "string",
            "description": "The ZPID of the property (Required for 'Home Details' or 'Apartment Details' if URL is not provided)."
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          "search_parameters_section": {
            "title": "Search Parameters",
            "type": "object",
            "description": "Define min/max beds, baths, and price ranges.",
            "properties": {
              "min_price": {
                "title": "Minimum Price ($)",
                "description": "Minimum Price ($)",
                "type": "integer",
                "minimum": 0,
                "unit": "USD",
                "editor": "number"
              },
              "max_price": {
                "title": "Maximum Price ($)",
                "description": "Maximum Price ($)",
                "type": "integer",
                "minimum": 0,
                "unit": "USD",
                "editor": "number"
              },
              "min_beds": {
                "title": "Minimum Bedrooms",
                "description": "Minimum Bedrooms",
                "type": "integer",
                "minimum": 0,
                "editor": "number"
              },
              "max_beds": {
                "title": "Maximum Bedrooms",
                "description": "Maximum Bedrooms",
                "type": "integer",
                "minimum": 0,
                "editor": "number"
              },
              "min_bathrooms": {
                "title": "Minimum Bathrooms",
                "description": "Minimum Bathrooms",
                "type": "number",
                "minimum": 0,
                "editor": "number"
              },
              "max_bathrooms": {
                "title": "Maximum Bathrooms",
                "description": "Maximum Bathrooms",
                "type": "number",
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              },
              "is_entire_place": {
                "title": "Entire Place (Apartment/House)",
                "description": "For Rent only",
                "type": "boolean"
              },
              "is_room": {
                "title": "Private Rooms (Roommate listings)",
                "description": "For Rent only",
                "type": "boolean"
              },
              "pagination": {
                "title": "Pagination Page Number",
                "description": "Pagination Page Number",
                "type": "integer",
                "default": 1,
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            }
          },
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            "type": "object",
            "description": "Define the map area using coordinates.",
            "properties": {
              "ne_lat": {
                "title": "North East Latitude",
                "description": "North East Latitude",
                "type": "number"
              },
              "ne_long": {
                "title": "North East Longitude",
                "description": "North East Longitude",
                "type": "number"
              },
              "sw_lat": {
                "title": "South West Latitude",
                "description": "South West Latitude",
                "type": "number"
              },
              "sw_long": {
                "title": "South West Longitude",
                "description": "South West Longitude",
                "type": "number"
              },
              "zoom_value": {
                "title": "Zoom Level",
                "description": "Zoom Level",
                "type": "integer",
                "editor": "number"
              }
            }
          },
          "proxyConfiguration": {
            "title": "Proxy configuration",
            "type": "object",
            "description": "Select proxies to be used by your crawler. Residential proxies are recommended for Zillow."
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                  },
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                  },
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                    "type": "integer",
                    "example": 2048
                  }
                }
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                    "example": 0
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                    "type": "integer",
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                    "type": "integer",
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Multi Purpose Zillow 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 Multi Purpose Zillow Data Scraper 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:

Multi Purpose Zillow Data Scraper API in Python

Multi Purpose Zillow Data Scraper API in JavaScript

Multi Purpose Zillow Data Scraper API through CLI

Multi Purpose Zillow Data Scraper API

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