Real Estate Data | Property Listing, Sold Properties, Rankings, Agent Datasets | Global Coverage | For Competitive Property Pricing and Investment

#	Property ID	Address	Status	Street number	Street name	Unit	City	Zip	Neighborhood	County	State	FIPS Code	Lat	Lon	APN	Property type	Year built	Beds	Baths Total	Baths Full	Baths Half	Building area	Lot area	Garage	Style(s)	Stories	Pool	Heating	Cooling	Date listed	List price	List price per square foot	Days on market	Value estimate	Value low	Value high	Rent estimate	Tax year	Tax amount	HOA fee	Listing office Name	Listing Agent Name	Listing Agent Phone	Listing Agent Email	Buyer Office Name	Buyer Agent Name	Buyer Agent Email	Source	MLS	Last sold date	Last sold amount	Change since last sold
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx	Xxxxxxx	Xxxxx	xxxxxx	xxxxxxxxxx
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5	xxxxx	Xxxxxxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx	xxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	Xxxxx	Xxxxx	Xxxxxxx
6	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	xxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxx	Xxxxxxx	xxxxxxxx	xxxxx	Xxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxxxx	xxxxxxx	Xxxxxxxxxx	xxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxx	xxxxxxxx	xxxxxx
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9	Xxxxxxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxx	xxxxxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxxxxx	xxxxxx	xxxxxxxxxx	xxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxxxxxxx	xxxxx	Xxxxxxxxx	Xxxxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxxxx	xxxxx	xxxxxxxxxx	xxxxxxx	xxxxxxxx	Xxxxx	xxxxx	xxxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxx	xxxxxx	xxxxxx	Xxxxxx	xxxxxx	xxxxx	Xxxxxxxxx
10	Xxxxxxxxx	Xxxxxx	Xxxxx	Xxxxxxxxx	Xxxxxx	Xxxxxx	xxxxxx	xxxxx	xxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxx	xxxxxxx	xxxxxxx	Xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxxx	xxxxx	xxxxxx	xxxxxx	Xxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxx	xxxxxx	Xxxxxxxx	Xxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx	xxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxxx
...	Xxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxx	xxxxxxx	xxxxxxxxxx	Xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxx	Xxxxxxx	Xxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	Xxxxx	xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxxx	xxxxxx	Xxxxxxxx	xxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxxxx	xxxxxx	Xxxxxxxx	xxxxx	Xxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxxx	Xxxxx	Xxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	xxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxxxx

Data Quality

100%

Match Rate

Avail. Formats

.bin, .json, and .xml

File

Coverage

249

Countries

[Sample] Real Estate Propert Details.csv

Attribute	Type	Example	Mapping
Property ID	Integer	29790651
Address	String	### **** **, *, , #####	Address
Status	String	RECENTLY SOLD
Street number	Integer	###	Address
Street name	String	**** ****	Address
Unit
City	String	Bronx	City District Name
Zip	Integer	10473	ZIP Code
Neighborhood	String	Soundview	Neighborhood Name
County	String	Bronx County	County Name
State	String	NY	State Name
FIPS Code	Integer	36005
Lat	Float	40.811153	Latitude
Lon	Float	-73.85487	Longitude
APN	Integer	34560054
Property type	String	MULTI_FAMILY
Year built	Integer	1992
Beds	Integer	6
Baths Total	Integer	4
Baths Full	Integer	4
Baths Half	Integer	0
Building area	String	3,304 sqft
Lot area	String	3484.8 Square Feet
Garage	Boolean	t
Style(s)
Stories
Pool	Boolean	f
Heating	String	Natural Gas \| Baseboard
Cooling	String	Natural Gas \| Baseboard
Date listed	String	11/11/2022
List price	String	$899,000
List price per square foot	String	$272.09 per sq foot
Days on market	Integer	350
Value estimate	String	$1,035,300
Value low	String	$952,000
Value high	String	$1,128,000
Rent estimate	String	$3115/mo
Tax year	Integer	2022
Tax amount
HOA fee	Integer	302
Listing office Name	String	Today Realty Corp.	Company Name
Listing Agent Name	String	Vincent Buccieri
Listing Agent Phone	String	###-###-####	Company Phone Number
Listing Agent Email	String	**************@.**	Company Email Address
Buyer Office Name	String	Today Realty Corp.	Company Name
Buyer Agent Name	String	Vincent Buccieri
Buyer Agent Email	String	vincetodayrealty@aol.com
Source	String	Public Record
MLS	String	OneKey® MLS
Last sold date	String	8/8/2023
Last sold amount	String	$999,000
Change since last sold	Integer	100000

Product Attributes

Attribute	Type	Example	Mapping
Property URL		https://www.zillow.com/homedetails/3514-Cypressdale-Dr-Sp...
Property Status		For Sale
Property ID		XXXXXXX
Address	String	#### * ,	Address
Room Sizes		30.23
Property Facilities		Parking, Private Pool
Description		Beautiful 4-bedroom, 2.5-bathroom 2-story home on a corne...
Cost		$300000
Surrounding/Community Facilites		XXXXXX
Agent Name		Dextor
Title		Salesperson
Email	String	*.@**.*	Email Address
Telephone	String	##########	Phone Number
Company Name	String	Zillow	Company Name
Company Size	String	50-200	Company Employee Count
Location		North America
Property Name		ABC Properties
Property Ranking		12
Property URL		https://www.XXX.com/details

Real estate is one of the most data-intensive industries in the world today. These data sources (property data, product data, ranking data, and agents data) are essential for the success of real estate marketing and development strategies.

Extract detailed property data points — address, URL, prices, floor space, overview, parking, agents, and more — from any real estate listings. The Rankings data contains the ranking of properties as they come in the SERPs of different property listing sites. Furthermore, with our real estate agents' data, you can directly get in touch with the real estate agents/brokers via email or phone numbers. A. Usecase/Applications possible with the data: 1. Property pricing - accurate property data for real estate valuation. Gather information about properties and their valuations from Federal, State, or County level websites. Monitor the real estate market across the country and decide the best time to buy or sell based on data 2. Secure your real estate investment - Monitor foreclosures and auctions to identify investment opportunities. Identify areas within special economic and opportunity zones such as QOZs - cross-map that with commercial or residential listings to identify leads. Ensure the safety of your investments, property, and personnel by analyzing crime data prior to investing. 3. Identify hot, emerging markets - Gather data about rent, demographic, and population data to expand retail and e-commerce businesses. Helps you drive better investment decisions. 4. Profile a building’s retrofit history - a building permit is required before the start of any construction activity of a building, such as changing the building structure, remodeling, or installing new equipment. Moreover, many large cities provide public datasets of building permits in history. Use building permits to profile a city’s building retrofit history. 5. Study market changes - New construction data helps measure and evaluate the size, composition, and changes occurring within the housing and construction sectors. 7. Finding leads - Property records can reveal a wealth of information, such as how long an owner has currently lived in a home. US Census Bureau data and City-Data.com provide profiles of towns and city neighborhoods as well as demographic statistics. This data is available for free and can help agents increase their expertise in their communities and get a feel for the local market. 6. Searching for Targeted Leads - Focusing on small, niche areas of the real estate market can sometimes be the most efficient method of finding leads. For example, targeting high-end home sellers may take longer to develop a lead, but the payoff could be greater. Or, you may have a special interest or background in a certain type of home that would improve your chances of connecting with potential sellers. In these cases, focused data searches may help you find the best leads and develop relationships with future sellers. How does it work? - Analyze sample data - Customize parameters to suit your needs - Add to your projects - Contact support for further customization

Africa (58)

Algeria

Angola

Benin

Botswana

Burkina Faso

Burundi

Cabo Verde

Cameroon

Central African Republic

Chad

Comoros

Congo

Congo (Democratic Republic of the)

Côte d'Ivoire

Djibouti

Egypt

Equatorial Guinea

Eritrea

Ethiopia

Gabon

Gambia

Ghana

Guinea

Guinea-Bissau

Kenya

Lesotho

Liberia

Libya

Madagascar

Malawi

Mali

Mauritania

Mauritius

Mayotte

Morocco

Mozambique

Namibia

Niger

Nigeria

Rwanda

Réunion

Saint Helena, Ascension and Tristan da Cunha

Sao Tome and Principe

Senegal

Seychelles

Sierra Leone

Somalia

South Africa

South Sudan

Sudan

Swaziland

Tanzania, United Republic of

Togo

Tunisia

Uganda

Western Sahara

Zambia

Zimbabwe

Asia (51)

Afghanistan

Armenia

Azerbaijan

Bahrain

Bangladesh

Bhutan

Brunei Darussalam

Cambodia

China

Cyprus

Georgia

Hong Kong

India

Indonesia

Iran (Islamic Republic of)

Iraq

Israel

Japan

Jordan

Kazakhstan

Korea (Democratic People's Republic of)

Korea (Republic of)

Kuwait

Kyrgyzstan

Lao People's Democratic Republic

Lebanon

Macao

Malaysia

Maldives

Mongolia

Myanmar

Nepal

Oman

Pakistan

Palestine, State of

Philippines

Qatar

Saudi Arabia

Singapore

Sri Lanka

Syrian Arab Republic

Taiwan

Tajikistan

Thailand

Timor-Leste

Turkey

Turkmenistan

United Arab Emirates

Uzbekistan

Vietnam

Yemen

Europe (51)

Albania

Andorra

Austria

Belarus

Belgium

Bosnia and Herzegovina

Bulgaria

Croatia

Czech Republic

Denmark

Estonia

Faroe Islands

Finland

France

Germany

Gibraltar

Greece

Guernsey

Holy See

Hungary

Iceland

Ireland

Isle of Man

Italy

Jersey

Latvia

Liechtenstein

Lithuania

Luxembourg

Macedonia (the former Yugoslav Republic of)

Malta

Moldova (Republic of)

Monaco

Montenegro

Netherlands

Norway

Poland

Portugal

Romania

Russian Federation

San Marino

Serbia

Slovakia

Slovenia

Spain

Svalbard and Jan Mayen

Sweden

Switzerland

Ukraine

United Kingdom

Åland Islands

North America (13)

Belize

Bermuda

Canada

Costa Rica

El Salvador

Greenland

Guatemala

Honduras

Mexico

Nicaragua

Panama

Saint Pierre and Miquelon

United States of America

Oceania (25)

American Samoa

Australia

Cook Islands

Fiji

French Polynesia

Guam

Kiribati

Marshall Islands

Micronesia (Federated States of)

Nauru

New Caledonia

New Zealand

Niue

Norfolk Island

Northern Mariana Islands

Palau

Papua New Guinea

Pitcairn

Samoa

Solomon Islands

Tokelau

Tonga

Tuvalu

Vanuatu

Wallis and Futuna

Other (9)

Antarctica

Bouvet Island

British Indian Ocean Territory

Christmas Island

Cocos (Keeling) Islands

French Southern Territories

Heard Island and McDonald Islands

South Georgia and the South Sandwich Islands

United States Minor Outlying Islands

South America (42)

Anguilla

Antigua and Barbuda

Argentina

Aruba

Bahamas

Barbados

Bolivia (Plurinational State of)

Bonaire, Sint Eustatius and Saba

Brazil

Cayman Islands

Chile

Colombia

Cuba

Curaçao

Dominica

Dominican Republic

Ecuador

Falkland Islands (Malvinas)

French Guiana

Grenada

Guadeloupe

Guyana

Haiti

Jamaica

Martinique

Montserrat

Paraguay

Peru

Puerto Rico

Saint Barthélemy

Saint Kitts and Nevis

Saint Lucia

Saint Martin (French part)

Saint Vincent and the Grenadines

Sint Maarten (Dutch part)

Suriname

Trinidad and Tobago

Turks and Caicos Islands

Uruguay

Venezuela (Bolivarian Republic of)

Virgin Islands (British)

Virgin Islands (U.S.)

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What is Real Estate Data Property Listing, Sold Properties, Rankings, Agent Datasets Global Coverage For Competitive Property Pricing and Investment?

What is Real Estate Data Property Listing, Sold Properties, Rankings, Agent Datasets Global Coverage For Competitive Property Pricing and Investment used for?

This product has 5 key use cases. Grepsr recommends using the data for Real Estate Analytics, Real Estate Investment, Real Estate Agencies, Real Estate Intelligence, and Real Estate Insights. Global businesses and organizations buy Real Estate Market Data from Grepsr to fuel their analytics and enrichment.

Who can use Real Estate Data Property Listing, Sold Properties, Rankings, Agent Datasets Global Coverage For Competitive Property Pricing and Investment?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Real Estate Market Data. Get in touch with Grepsr to see what their data can do for your business and find out which integrations they provide.

Which countries does Real Estate Data Property Listing, Sold Properties, Rankings, Agent Datasets Global Coverage For Competitive Property Pricing and Investment cover?

This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Grepsr is headquartered in United States of America.

How much does Real Estate Data Property Listing, Sold Properties, Rankings, Agent Datasets Global Coverage For Competitive Property Pricing and Investment cost?

Pricing information for Real Estate Data Property Listing, Sold Properties, Rankings, Agent Datasets Global Coverage For Competitive Property Pricing and Investment is available by getting in contact with Grepsr. Connect with Grepsr to get a quote and arrange custom pricing models based on your data requirements.

How can I get Real Estate Data Property Listing, Sold Properties, Rankings, Agent Datasets Global Coverage For Competitive Property Pricing and Investment?

Businesses can buy Real Estate Market Data from Grepsr and get the data via S3 Bucket, SFTP, Email, UI Export, REST API, SOAP API, Streaming API, and Feed API. Depending on your data requirements and subscription budget, Grepsr can deliver this product in .bin, .json, .xml, .csv, .xls, .sql, and .txt format.

What is the data quality of Real Estate Data Property Listing, Sold Properties, Rankings, Agent Datasets Global Coverage For Competitive Property Pricing and Investment?

Grepsr has reported that this product has the following quality and accuracy assurances: 100% Match Rate, 99% Fill Rate. You can compare and assess the data quality of Grepsr using Datarade’s data marketplace. Grepsr has received 2 reviews from clients. Grepsr appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? September Edition and Best 5 Amazon Data Scrapers for Product Research & Analysis.

What are similar products to Real Estate Data Property Listing, Sold Properties, Rankings, Agent Datasets Global Coverage For Competitive Property Pricing and Investment?

This product has 3 related products. These alternatives include Grepsr Real Estate Products, Property Listing, Sold Properties, Rankings, Agent Datasets Middle East Coverage with Custom and On-demand Datasets, Commercial Real Estate Data Global Real Estate Professionals Work Emails, Phone Numbers & Verified Profiles Best Price Guaranteed, and Real Estate Market Data Commercial & Residential Real Estate Sell & Rent Insights Global Real-Time Real Estate Data from All Websites. You can compare the best Real Estate Market Data providers and products via Datarade’s data marketplace and get the right data for your use case.

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Real Estate Data | Property Listing, Sold Properties, Rankings, Agent Datasets | Global Coverage | For Competitive Property Pricing and Investment

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Pricing

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Let data providers come to you!

Real Estate Data | Property Listing, Sold Properties, Rankings, Agent Datasets | Global Coverage | For Competitive Property Pricing and Investment

Data Dictionary

Description

Country Coverage

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Grepsr Unleash the power of Data

Trusted by

Grepsr
Unleash the power of Data