Real Estate Transaction Data: Definition, Sources & Datasets to buy
What is Real Estate Transaction Data?
Real Estate Transaction Data refers to information related to the buying, selling, and transferring of properties. It includes details such as property addresses, sale prices, transaction dates, property characteristics, and involved parties. This data is collected and recorded by various sources, including government agencies, real estate agents, and online platforms. Analyzing real estate transaction data can provide insights into market trends, property valuations, and investment opportunities.
Real Estate Transaction Data refers to information about the buying and selling of properties, including details such as sale price, property location, and transaction dates. Examples of Real Estate Transaction Data include records of residential and commercial property sales, rental agreements, and mortgage transactions. This data is used by real estate professionals, investors, and researchers to analyze market trends, assess property values, and make informed decisions. In this page, you’ll find the best data sources for real estate transaction data, real estate transactions database, housing transaction data, and real estate transaction database.
Best Real Estate Transaction Databases & Datasets
Here is our curated selection of top Real Estate Transaction Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Timeshare Real Estate Transaction Data | 15MM Records
CrawlBee | Consumer Behavior Data | Address Data | B2C Data | HomeOwner Data | Real Estate Transaction Data | USA
BatchService's Deed (History) Real Estate Transaction Data + Property Transaction Data, 15+ Data Points Available
Real Estate Listings Data | Real Estate Valuation Data
CompCurve | Residential Real Estate Data | Real Estate License Data | US and CA | 2.4M Records| Agents and Brokers | Monthly Updates
Real Estate Data | Real-time Real Estate Data | Custom Recurring Scraping | Free Sample | Real Estate Listings | Stock Market Data | PromptCloud
Property Market Data | Real Estate Market Data | Observatory Data Suite | Transactions Market Data | 43 KPIs | Italy | 5 Years Historic Coverage
Latin America Real Estate Listings: 100K+ Properties with Geolocation, Pricing, and Detailed Metadata (2024)
1.3 MM Real Estate Professionals Data | U.S. Real Estate Marketing Data for Mailing Lists
Doorda UK Rental Data | Residential Real Estate Data | 3M+ Addresses from 20 Data Sources, Commercial Owners, Energy Performance
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Popular Use Cases for Real Estate Transaction Data
Real Estate Transaction Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Real Estate Transaction Data.
Main Attributes of Real Estate Transaction Data
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 8 datasets | |
| String | The name of a city. | View 7 datasets | |
| String | The Zone Improvement Plan (ZIP) code of an address. | View 7 datasets | |
| String | The first name of a contact. | View 4 datasets | |
| String | The last name (surname) of a contact. | View 4 datasets | |
| String | The abbreviation of a state name. | View 4 datasets |
Frequently Asked Questions
Where Can I Buy Real Estate Transaction Data?
You can explore our data marketplace to find a variety of Real Estate Transaction Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.
How is the Quality of Real Estate Transaction Data Maintained?
The quality of Real Estate Transaction Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Real Estate Transaction Data Updated?
The update frequency for Real Estate Transaction Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Real Estate Transaction Data Secure?
The security of Real Estate Transaction Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Real Estate Transaction Data Delivered?
Real Estate Transaction Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Real Estate Transaction Data.
How Much Does Real Estate Transaction Data Cost?
The cost of Real Estate Transaction Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Real Estate Transaction Data for your needs.
What Are Similar Data Types to Real Estate Transaction Data?
Real Estate Transaction Data is similar to other data types, such as Mortgage Data, Home Ownership Data, Property Data, Real Estate Market Data, and Commercial Real Estate Data. These related categories are often used together for applications like Real Estate Analytics and Real Estate Investment.
- Overview
- Datasets
- Use Cases
- Attributes
- FAQ