What is Real-Time Real Estate Data? Best Datasets & Databases 2025
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Real-Time Real Estate Data?
Real-Time Real Estate Data refers to up-to-the-minute information about the current state of the real estate market. It includes data on property listings, sales prices, market trends, and other relevant information that is constantly updated. This data is crucial for real estate professionals, investors, and buyers to make informed decisions and stay ahead in a dynamic market.
Best Real-Time Real Estate Databases & Datasets
Here is our curated selection of top Real-Time Real Estate 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.
Real Estate Market Data | Commercial & Residential Real Estate | Sell & Rent Insights | Global Real-Time Real Estate Data from All Websites
Real Estate Listings Data | Real Estate Valuation Data
Commercial Real Estate Data | Global Real Estate Professionals | Work Emails, Phone Numbers & Verified Profiles | Best Price Guaranteed
Zillow Real Estate Data | Real-time Real Estate Market Data | No Infra Cost | Pre-built AI & Automation | 50% Cost Saving | Free Sample
Realtor.com Dataset | Property Listings | MLS Data | Real Estate Data | Residential Data | Realtime Real Estate Market Data
Daily Footfall Data | Real-Time Foot Traffic Data | Real Estate Investment Data for Real-estate | UK-wide | 2.7K+ Retail Centres | 600+ Customers
Residential Real Estate Data | Assessor & Recorder of Deeds Data | Bulk + API | 158M Properties
Autoscraping | Latin America Real Estate | 100K+ Properties with Pricing & Geolocation
US National Property Listing Data | 50+ Property & Building Characteristics | Pricing & Real Estate Agent Information
Real Estate Data | Property Listing, Sold Properties, Rankings, Agent Datasets | Global Coverage | For Competitive Property Pricing and Investment
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Top Real-Time Real Estate Data Providers & Companies
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CompCurve
CoverageUSACanadaJCompuCurve has been invaluable to our business growth. They are very responsive and have given me accurate data. I have used them multiple times and will continue to use them for future growth. Thank you so much!
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AutoScraping
CoverageUSAUK+248We convert millions of unstructured data on structured, clean and precise data.+300Clients100%Job succes on Upwork+100kScraped websites -
APISCRAPY
CoverageUSAUK+248VAPISCRAPY has been a game-changer for our real estate data scraping automation. The AI-driven platform effortlessly converts web data into a polished, ready-to-use API, providing us with accurate and comprehensive information in the required format/s. What truly sets APISCRAPY apart is their ability to stick to the deadlines and the support during the entire tenure of the project. From the initial discussion till the seamless integration, their expertise and responsiveness is highly appreciated. The user-friendly interface streamlined the entire process, enhancing our operational efficiency. APISCRAPY is undeniably a valuable partner for any business seeking a reliable and efficient web scraping solution.
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Grepsr
CoverageUSAUK+247VUtilizing Grepsr's data solutions, we employed their capabilities to efficiently retrieve a substantial volume of job posting information. The acquired dataset played a pivotal role in supporting our strategic marketing initiatives, demonstrating the versatility and effectiveness of Grepsr's data services in enhancing our business intelligence and outreach endeavors.
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McGRAW
CoverageUSAUK+248VWe have been working with McGRAW for over two years, and their real estate investment data has been crucial to our marketing efforts. Their excellent customer support and timely insights have greatly improved our campaign effectiveness, leading to multiple property contracts. Thanks to McGRAW, we are confident utilizing their data in our marketing and sales efforts to sell our remaining units. We look forward to continuing our partnership with their data team.
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Altosight
CoverageUSAUK+248✔ Extract Data Anywhere AI scrapers bypass all website blocks. ✔ Clean & Enrich Data We clean and add insights like unit prices. ✔ Flexible Delivery API, FTP, CSV, JSON, Excel. ✔ Affordable Pricing From $29, with pilot projects. ✔ GDPR Compliant Your data meets regulations.Custom-FitTailored Data SolutionsAI ScrapeCAPTCHAs & Dynamic ContentFrom $29Flexible Pricing
Popular Use Cases for Real-Time Real Estate Data
Real-Time Real Estate 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-Time Real Estate Data.
Main Attributes of Real-Time Real Estate Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The postal code of an address. | View 33 datasets | |
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 32 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 20 datasets | |
| String | The name of a state. | View 20 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 19 datasets | |
| String | The name of a city. | View 17 datasets |
Frequently Asked Questions
How is the Quality of Real-Time Real Estate Data Maintained?
The quality of Real-Time Real Estate 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-Time Real Estate Data Updated?
The update frequency for Real-Time Real Estate 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-Time Real Estate Data Secure?
The security of Real-Time Real Estate 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-Time Real Estate Data Delivered?
Real-Time Real Estate 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-Time Real Estate Data.
How Much Does Real-Time Real Estate Data Cost?
The cost of Real-Time Real Estate 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-Time Real Estate Data for your needs.
What Are Similar Data Types to Real-Time Real Estate Data?
Real-Time Real Estate 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 Property Valuation and Real Estate Analytics.
