Mortgage Data: Best Mortgage Datasets & Databases
What is Mortgage Data?
Mortgage data refers to information related to loans secured by real estate property. It includes details about the borrower, such as credit score, income, and employment history, as well as the property’s value and location. Mortgage databases help assess the risk associated with granting a mortgage and to determine the terms and conditions of the loan.
Best Mortgage Data Databases & Datasets
Here is Datarade's curated selection of top Mortgage Data. These trusted databases and datasets offer high-quality, up-to-date information.
CrawlBee | Mortgage Data | Homeownership Data | Financial Services | Lender Data
Alesco Home Ownership Mortgage Data - 50+ Million US Homeowners - Available for Licensing!
Mortgage Advertisement data for independent mortgage lenders
Mortgage Rates (Front Line Prices) - Live Feed
Opah Labs | Mortgage Loans Data | USA | (Weekly Updates w/ 400M records | Consumer Data) | 4134
US National Real Estate Sale and Mortgage Data (228+Million Records)
Tovo Data Mortgage Lending Leads USA - 170M+ leads generated online for direct mail
TRAK Data - Full US Consumer Finance Data - Household Income, Wealth, Investments, Credit Card Behaviors, Insurance, Mortgage, Spending Habits
Mortgage Taxonomy - Dexivo - Basic Data Records (First Name, Last Name, Address)
Crawlbee | Consumer Marketing Data | Versatile B2C Contact Data | API & Dataset | US Household, Housing, Mortgage Data
Top Mortgage Data Providers & Companies
Datarade considers factors such as data accuracy, coverage of mortgage data, data freshness, data granularity, data source reliability, compliance with regulations, data delivery methods, and pricing models when recommending mortgage data providers.
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BatchServiceBased in USA
Deepen the insights your platform or application offers by harnessing unparalleled property data and accurate owner contact information from a single API. -
Promoted
Alesco DataBased in USA
We offer the broadest range of accurate and targeted data in the industry. With over 20 years of expertise, we have helped thousands of clients create optimi... -
VersiumBased in USA
We develop easy-to-use data technology products for businesses to identify, understand, and reach their most ideal prospects. We operate with integrity to cr... -
RateSpotBased in USA
Ratespot.io connects the mortgage and real estate industries through a digital marketplace, providing borrowers, lenders, and investors with comprehensive pr... -
TovoDataBased in USA
TovoData weaves multiple, intelligent real estate, tax and mortgage data sources into a 360-degree view of property and homeowner insight
Mortgage Data Explained
How is Mortgage Data collected?
Mortgage data is collected from various credible sources. These sources include social media platforms, online news sites, online publications, lending agencies, the government, and any related public records. In the form of a list or charts, these sources are gathered and analyzed to create mortgage datasets which undergo cleansing and filtering to eliminate duplications and incomplete data. Then, data is organized and compiled for data storage.
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What are the typical attributes of Mortgage Data?
Here are some typical attributes of mortgage data:
- Credit Score – this refers to the available data on the credit rating of an individual based on their previous loans.
- Customer information – refers to the customers’ buying patterns, purchasing power, contact data, geographical location, and employment status.
- Mortgage home – this refers to information about the homes available to purchase using a mortgage model, companies offering loans on properties, and terms and related legal information.Â
ÂWhat is Mortgage Data used for?
Mortgage data is used by lenders and banks. This data serves as an additional record in approving a loan application. Lenders benefit from this data to ensure the transparency and credibility of a borrower to pay. Mortgage data also serves as a strong decision indicator for the lending institution to avoid unreliable borrowers. Another benefit of using this data is to target a better audience based on their previous mortgage loan. Mortgage data is valuable to lending institutions for risk management, as it allows them to conduct KYC procedures so that they don’t grant loans to borrowers who won’t repay them.
How can a user assess the quality of Mortgage Data?
To assess the quality of mortgage data, users must ask providers where they got their data and what processes are involved in creating their datasets. Good quality mortgage data must also be accurate and reliable. Furthermore, sources of mortgage data must be credible and must be timely. Since some borrowers are unable to maintain a good credit score, data updating important so that the data reflects their most current credit score. Data providers must also offer excellent customer service, and provide extra mortgage information in case questions about the data are raised. Lastly, users may read online reviews to ensure credibility and ask for a mortgage data sample to counter-check if it is worthy.
Frequently Asked Questions
Where can I buy Mortgage Data?
Data providers and vendors listed on Datarade sell Mortgage Data products and samples. Popular Mortgage Data products and datasets available on our platform are CrawlBee | Mortgage Data | Homeownership Data | Financial Services | Lender Data by CrawlBee, Alesco Home Ownership Mortgage Data - 50+ Million US Homeowners - Available for Licensing! by Alesco Data, and Mortgage Advertisement data for independent mortgage lenders by Datahut.
How can I get Mortgage Data?
You can get Mortgage Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Mortgage Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Mortgage Data APIs, feeds and streams to download the most up-to-date intelligence.