Zillow Sales Metadata History
by i_love_coding
Automatically extract U.S. property sales history from Zillow, including address, sale date, and location data. Perfect for real estate analysis and market research.
Opens on Apify.com
About Zillow Sales Metadata History
Need historical sales data from Zillow without the hassle? This actor pulls clean, structured records of U.S. property sales directly from the source. I've used it to track market activity and it delivers exactly what it promises: for each sale, you get the full Zillow URL, the property's address and ZPID, the precise sale date formatted as YYYY-MM-DD, plus the city, state, and zip code. It's important to note that the sale price isn't included in this initial version, but the foundational data it provides is incredibly valuable. The real benefit is having this data ready for analysis. You can feed these records directly into your own databases or dashboards to analyze sales frequency in specific neighborhoods, track market velocity, or enrich your existing property datasets. Since it returns real-time data, you're always working with the latest information Zillow has posted. It saves you from manual copying or dealing with inconsistent formats, turning a messy research task into a simple, automated process. If you're in real estate tech, market research, or investment analysis, this actor gives you a reliable pipeline to a key piece of the property puzzle.
What does this actor do?
Zillow Sales Metadata History is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Zillow Sales Metadata History
An Apify actor that scrapes real estate sales data directly from the Zillow Metadata Sales History API.
Overview
This actor efficiently queries Zillow's API to fetch historical property sales records. It allows you to search by location and date range, returning structured data optimized for storage and analysis.
Key Features
- Flexible Search: Find properties by partial address and filter results by a custom date range.
- High Performance: Queries are executed quickly, typically in under 25ms.
- Pagination Control: Manage data volume with configurable page limits and results per page.
- Structured Output: Returns clean, comprehensive property data, including Zillow IDs, sale prices, dates, and full URLs.
- Optimized Dataset: Output is formatted for easy integration into PostgreSQL or similar databases.
How to Use
Configure the actor run using the input parameters below. You can search by address, date range, or a combination of both.
Input Parameters
Provide input as a JSON object with the following optional fields:
{
"address": "main street",
"from_date": "2024-01-01",
"to_date": "2024-12-31",
"max_pages": 10,
"limit_per_page": 200
}
address: A partial address or location name (e.g., "los angeles").from_date/to_date: Start and end dates for the sale period (format: YYYY-MM-DD).max_pages: The maximum number of result pages to scrape (default: 5).limit_per_page: Number of results per page, up to a maximum of 200 (default: 200).
Usage Examples
Search by location:
{ "address": "boston", "max_pages": 5 }
Search by date range:
{ "from_date": "2024-01-01", "to_date": "2024-06-30" }
Combined search:
{
"address": "chicago",
"from_date": "2023-07-01",
"to_date": "2024-07-01",
"max_pages": 15,
"limit_per_page": 200
}
Output
The actor outputs an array of property records, each containing these key fields:
zpid: The unique Zillow Property ID.address: The full street address.city,state,zip_code: Geographic components.sale_price: The recorded sale price in USD.date_of_sale: The date the sale was recorded.full_url: Direct link to the property listing on Zillow.scraped_at: UTC timestamp of when the data was fetched.
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Zillow Sales Metadata History now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- i_love_coding
- Pricing
- Paid
- Total Runs
- 538
- Active Users
- 8
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