Real Estate Listings Data | Real Estate Valuation Data

Comprehensive Property Dataset for Real Estate Analysis and Market Insights Unlock the potential of a rich, meticulously curated dataset, featuring a diverse array of property listings from various regions across the United States. This dataset is ideal for professionals and companies seeking in-depth real estate insights, market trends, and data-driven decision-making. Overview: The dataset includes property listings with a wealth of information, spanning from property type and pricing to marketing status and detailed property features. Whether you’re working in real estate, data analytics, investment, or urban development, this dataset provides the foundation for informed analysis and actionable insights. Key Features: Property Identifiers: Each property in the dataset is uniquely identified by a Zillow Property ID (zpid), ensuring easy reference and integration with other Zillow-based resources. Property URL: Direct links to Zillow’s property pages are included, allowing for quick access to detailed listings, images, maps, and further property-specific data. Marketing Status: Identify whether the property is currently on the market, recently sold, or off-market, making it easy to track active, pending, and historical listings. Property Types: The dataset includes various property types, such as single-family homes, lots, land, apartments, condos, and more, allowing for granular analysis across different real estate segments. Price Data: Each listing provides pricing information in multiple formats: Price: The listed price. Zestimate: Zillow’s rental estimate (Zestimate) provides additional insight into the potential rental value of a property, enabling rent-to-price ratio analysis for investors. Address Information: Comprehensive location data is provided for each listing, including street address, city, state, and ZIP code. This allows users to perform detailed geographical analysis, mapping, and segmentation based on location. Additional Property Attributes: Marketing Descriptions: Includes the status text or marketing information such as “House for Sale,” “Recently Sold,” or “Lot/Land for Sale,” giving insights into the listing’s current standing. Listing Sub Types: Some listings provide specific subtypes like "Walkable neighborhood" or "Brick exterior," offering a glimpse into property features and amenities. Flex Field Text: Additional attributes and unique selling points are highlighted for each property, such as "Backyard views" or "Private master suite," helping users understand key features at a glance. Listing Duration: Some records include the number of days the property has been listed, a crucial indicator for tracking time-on-market and sales cycle duration. This is particularly useful for trend analysis and market velocity assessments. Agent Information: Where available, agent or realtor details are included, allowing for networking, outreach, and understanding of market players in specific regions. Data Structure and Columns: The dataset contains over 30 columns, offering a broad spectrum of data fields for analysis. Here’s a breakdown of the key columns included in this dataset: URL: Direct link to the property’s page. Marketing Status: Indicates the current status (e.g., for sale, sold, etc.). Property Type: Type of property (e.g., single-family, lot, etc.). Price: Formatted display price of the property. PhysicalAddress: The physical address for the property. Zestimate: Zillow’s estimate of the property’s rental value. ZillowOwned: Indicates whether the property is owned by Zillow. ListingDetails: Additional listing categorizations (e.g., Walkable neighborhood). Agent Information: Details about the listing agent, where applicable. Potential Use Cases: This dataset is valuable for a wide range of industries and applications, including but not limited to: Real Estate Investment Analysis: Investors can use the dataset to perform a detailed analysis of property prices, rental values, and geographic trends. With access to Rent Zestimate data, investors can identify regions with high rent-to-price ratios, making the data useful for buy-to-rent strategies. Market Research and Trends: Analysts and real estate professionals can track market trends, including fluctuations in listing prices, time on market, and the frequency of certain property types (e.g., single-family homes vs. land). Competitive Analysis: Companies in the real estate market can use the dataset to compare competitor properties, pricing strategies, and market penetration, allowing for strategic positioning. Urban Development and Planning: City planners and developers can use the dataset to analyze the distribution of properties and development potential in different areas. By identifying regions with high listing volumes and favorable prices, planners can assess development opportunities. Academic Research and Studies: Economists, researchers, and students interested in housing market dynamics can use this data to study topics like housing affordability, urban sprawl, or the impact of macroeconomic factors on real estate pricing. Advantages of Our Dataset: Up-to-Date Listings: Our dataset reflects current data, ensuring that users work with current and accurate listings, pricing, and market statuses. Comprehensive Coverage: Spanning properties across multiple U.S. states, the dataset offers diverse geographic representation, making it ideal for both nationwide and regional studies. Rich Property Details: From pricing and marketing status to unique property attributes and agent information, this dataset offers an unparalleled depth of information for comprehensive real estate analysis. User-Friendly Format: Delivered in a clean format, the data is ready to be ingested into your analysis tools or proprietary systems without additional processing. Why Choose Our Dataset? Our dataset stands out due to its: Detailed and Diverse Data Fields: With over 30 columns of data for each property, you have access to a rich set of features that enable deep dives into property characteristics. Actionable Insights: The included Rent Zestimate data allows for analysis of potential rental income, giving investors a powerful tool for assessing rental properties. Easy Integration: The dataset is delivered in a user-friendly CSV format, making it easy to import into Excel, R, Python, or any other data analysis platform. Get Access Today! Contact us to learn more about pricing, data updates, and how this dataset can be tailored to your specific needs. Whether you're looking for the full dataset or a custom selection based on geography or property type, we’re here to assist.