Realtor.com Property Listings Dataset product image in hero

Realtor.com Property Listings Dataset

Datamam
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#
building_url
building_id
broker_name
street
year_built
postal_code
building_price
building_bathrooms
building_bedrooms
building_garage
building_type
building_lot_sqft
building_sqft
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Sign In To Preview Data
Volume
10M
rows
Data Quality
100%
Quality Rate
Avail. Formats
.bin, .json, and .xml
File
Coverage
249
Countries
History
1
days

Data Dictionary

[Sample] realtor_sample.csv
Attribute Type Example Mapping
building_url
String https://www.realtor.com/realestateandhomes-detail/21709-1...
building_id
String M37417-34905
broker_name
String Cross Country Realty
String Springfield Gardens City Name
String New York State Name
street
String 217-09 135th Ave
year_built
Float 2007.0
postal_code
Integer 11413
building_price
Integer 469000
building_bathrooms
Float 2.0
building_bedrooms
Float 3.0
building_garage
Float 2.0
building_type
String single_family
building_lot_sqft
Float 2300.0
building_sqft
Float 40.678568 Latitude
Float -73.752717 Longitude
Product Attributes
Attribute Type Example Mapping
building_url
String
building_id
String
broker_name
String
String Berlin City Name
String California State Name
street
String
year_built
String
postal_code
String
building_price
String
building_bathrooms
String
building_bedrooms
String
building_garage
String
building_type
String
building_lot_sqft
String
building_sqft
String
String 40.786342970476895 Latitude
String -119.2065156609571 Longitude

Description

The dataset provides a comprehensive view of properties available for sale or rent including property characteristics, location, price, and more. It is a valuable resource for businesses and researchers seeking to understand the real estate market and identify investment opportunities.
The Realtor property listings dataset offers a wide range of information about properties available for sale or rent, including houses and apartments, as well as information. It includes detailed information such as property characteristics, location details, price, square footage, amenities, and more. The dataset can be used to gain insights into real estate market trends, analyze property values, and inform investment strategies. It is a valuable resource for businesses and researchers seeking to understand the real estate landscape and identify investment opportunities. The dataset is regularly updated to reflect changes in the real estate market, making it a valuable resource for anyone seeking to stay informed about the latest developments in the industry. Overall, this dataset is an essential tool for those looking to gain a competitive edge in the real estate market.

Country Coverage

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.)

History

1 days of historical data

Volume

10 million rows

Pricing

Free sample available
License Starts at
One-off purchase
$5,000 / purchase
Monthly License
$5,000 / month
Yearly License
$50,000 / year
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
Quality Rate

Delivery

Methods
S3 Bucket
SFTP
Email
REST API
Frequency
secondly
minutely
hourly
daily
weekly
monthly
quarterly
yearly
real-time
on-demand
Format
.bin
.json
.xml
.csv
.xls
.sql
.txt

Use Cases

Categories

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Frequently asked questions

What is Realtor.com Property Listings Dataset?

The dataset provides a comprehensive view of properties available for sale or rent including property characteristics, location, price, and more. It is a valuable resource for businesses and researchers seeking to understand the real estate market and identify investment opportunities.

What is Realtor.com Property Listings Dataset used for?

This product has 5 key use cases. Datamam recommends using the data for Real Estate, Real Estate Analytics, Market Research, Marketing Intelligence, and Real Estate Intelligence. Global businesses and organizations buy Property Market Data from Datamam to fuel their analytics and enrichment.

Who can use Realtor.com Property Listings Dataset?

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

How far back does the data in Realtor.com Property Listings Dataset go?

This product has 1 days of historical coverage. It can be delivered on a secondly, minutely, hourly, daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.

Which countries does Realtor.com Property Listings Dataset cover?

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

How much does Realtor.com Property Listings Dataset cost?

Pricing for Realtor.com Property Listings Dataset starts at USD5,000 per purchase. Connect with Datamam to get a quote and arrange custom pricing models based on your data requirements.

How can I get Realtor.com Property Listings Dataset?

Businesses can buy Property Market Data from Datamam and get the data via S3 Bucket, SFTP, Email, and REST API. Depending on your data requirements and subscription budget, Datamam can deliver this product in .bin, .json, .xml, .csv, .xls, .sql, and .txt format.

What is the data quality of Realtor.com Property Listings Dataset?

Datamam has reported that this product has the following quality and accuracy assurances: 99.9% Quality Rate. You can compare and assess the data quality of Datamam using Datarade’s data marketplace. Datamam has received 5 reviews from clients. Datamam appears on selected Datarade top lists ranking the best data providers, including Best +8 Web Scraping APIs to use in 2023 and Best +8 Amazon Review APIs to use in 2023.

What are similar products to Realtor.com Property Listings Dataset?

This product has 3 related products. These alternatives include Apartments.com Property Listings Dataset, Grepsr Real Estate Products, Property Listing, Sold Properties, Rankings, Agent Datasets Global Coverage with Custom and On-demand Datasets, and CrawlBee Zillow.com Data Property Listings Data Real Estate Transactions Property Valuation Data. You can compare the best Property Market Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at
$5,000 / purchase
License Starts at
One-off purchase
$5,000 / purchase
Monthly License
$5,000 / month
Yearly License
$50,000 / year
Usage-based Not available

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