April 04 2023
Real estate apps are better with data. Home buyers want information in order to be more confident in their offers. And home sellers need knowledge to set the best prices.
Real estate APIs help real estate apps and websites win customers by providing the data they need.
Real estate APIs provide fast and reliable real estate data from various sources to power real estate websites and apps.
The data can include:
Most data available online about a property or the surrounding community is now provided via API.
Real estate companies are constantly providing more and more data. APIs and real estate websites can empower your clients with knowledge and help you generate new business.
Real estate APIs help developers and real estate professionals get the data they need to build a robust platform. We've collected some of the best from around the web.
1. MLS Router™ API
MLS Router™ API provides nationwide access to property listings in the U.S. and Canada via MLS data feed. RESO certified and MLS compliance capable, MLS Router™ is a comprehensive data service that includes:
MLS Router™ supports real estate app development with headless architecture.
2. Yelp Fusion API
Yelp Fusion API allows you to pull data about places of interest and show them on a real estate property map or individual listing pages. Yelp Fusion provides attributes for millions of businesses around the world. Available data include:
Yelp Fusion provides up-to-date access as new reviews and photos are added.
3. Walk Score API
Walk Score API grades locations by walkability and provides this information in a data feed for apps and portals. By providing the distance to local amenities, public transportation options, and bike infrastructure, Walk Score API can give robust context to a real estate listing or rental.
Walk Score API location information includes latitude, longitude, and address, and returns the corresponding data in JSON or XML.
4. GreatSchools API
GreatSchools API provides comprehensive data on K-12 schools throughout the U.S. The GreatSchools ratings include grades for college readiness, test scores, equity, and student progress. Other data included in the data feed are:
By providing the address of a property or home, users gain access to a vast dataset of nearby schools.
5. Census Economic Indicators API
The Census Bureau's Economic Indicators API allows users to pull monthly and quarterly data for various measures of U.S. economic activity, including several directly related to real estate. Collected from nationwide surveys, the data include new residential construction, vacancies, home sales, and other statistics that give context to local markets.
Like other government data providers, Census offers access to its Economic Indicators API free of charge.
6. Census American Community Survey API
If you're not able to find the data you need from the Economic Indicators API, you can check the American Community Survey API, a vast dataset of demographic, household, and social statistics for communities around the nation. The ACS data includes household characteristics such as internet usage, heating fuel, and homeowner or renter status. It also includes the year built, year householder moved in and estimated homeowner costs.
The ACS data is updated annually and contains some of the richest profiles of community life in the U.S.
7. Foursquare Places API
The Foursquare Place API enriches maps and locations with data on more than 100 million points of interest around the world. Each Foursquare place includes information such as:
Powered by consumer check-ins, the Places API data updates continually with new insights.
8. Risk Factor API
Risk Factor API provides an assessment of environmental risk for more than 24 million properties around the U.S. It takes into account climate models to rate a property's exposure to flooding, fire, and heat in current and future conditions.
The Risk Factor API includes data on:
Risk Factor helps real estate owners, investors, and agents understand environmental risk and preserve value.
9. RealEstateAPI.com
RealEstateAPI.com provides a variety of real estate data and tools, including property search, autocomplete, property details, property comps, and property boundaries. The APIs include over 150 million properties nationwide with parcel, building, owner, tax, and mortgage data. Users can gain insights and develop applications with real estate data that can help grow their businesses.
10. Climate Check API
Climate Check API allows users to pull data on heat, precipitation, drought, flooding, and fire hazards based on address. The data includes the number of extreme heat days, annual risk of burning events, number of high wind, wet or snowy events, water supply stress, and coastal, surface, and other flooding. The ratings are relative to other addresses in the U.S. and incorporate the change in risk through the year 2050.
11. Google Maps API
The Google Maps API powers real estate portals on websites across the web. Google Maps allows users to add map layers on their site and customize them with listings and other data. With information on millions of businesses and places, as well as imagery and photos, Google Maps remains one of the most important data sources for real estate professionals.
12. INRIX Drive Time API
The INRIX Drive Time API helps users measure commutes by estimating travel times in minutes rather than miles. Drive Time data uses typical traffic patterns to provide driving estimates by time of the day and day of the week. The Drive Time API can be used to generate listing map searches based on how long it takes to arrive at a particular location.
13. WattBuy API
The WattBuy API provides estimates of a home's annual expected electric usage. Electric usage can be queried by ZIP code, which returns usage for an average home in that area, specific address, which provides estimates for that specific property, or general home parameters, which generates new estimates from the model. The API returns:
14. Transit API
Transit API is a real-time database of transportation options for cities around the U.S. The API provides locations, departure times, and trip planning for trains, buses, bikes, and other transportation. Real estate professionals can use Transit API to find stops near a particular location or estimate travel times.
15. HowLoud API
The HowLoud API helps users estimate noise levels at a particular location. The API provides Soundscores for addresses across the U.S. to quantify estimated exposure to noise from traffic, emergency services, nightlife, and other sources. API users can also retrieve a heatmap, which provides a visual representation of noise in a given community.
16. Precisely Neighborhoods API
The Precisely Neighborhoods API allows users to attach neighborhood information to properties or locations worldwide. Provided a latitude and longitude, the API returns the neighborhood name and type, such as municipality, township, or neighborhood.
17. Zyla Cost of Living API
The Zyla Cost of Living API provides the cost of living estimates and average price data for more than 8,000 cities around the world. Price information includes goods and services such as:
The API also includes data on average salaries. And it can improve real estate listings by helping users understand how far their income will go in a particular community.
18. Boundaries iO API
Boundaries iO is a dataset of postal code, administrative, place, and neighborhood boundaries for the U.S., U.K., Canada, and Germany. The API allows users to combine boundaries for custom use cases. The responses are provided in GeoJson by default and allow for integration with websites, maps, GIS systems, and other applications.
19. Weather API
Weather API provides real-time and historical weather data as well as air quality information based on location. API responses include:
Historical data include readings from January 2010 to present and help add weather trends to real estate listings.
20. PVWatts API
PVWatts is an API developed by the National Renewable Energy Lab to help estimate the solar potential of a given property. The API takes in a location and potential photovoltaic system information and returns estimates of monthly solar radiation and annual energy production.
21. Trailforks API
The Trailforks API can improve real estate listings with information on thousands of hiking, biking, equestrian and other trails and recreation locations around the U.S. The API data includes:
22. PubRec API
PubRec provides public information about millions of real estate properties nationwide. The API includes more than 110 data points for each property, including property ID and characteristics, assessment and tax information, owner and sale data. The API takes in an address and responds with data in JSON format.
23. U.S.A. Sales Tax by Zipcode API
The U.S.A. Sales Tax by Zipcode API does exactly what it says it does; it provides sales tax information by ZIP code across the U.S. Real estate professionals can use the API to provide more information to buyers about how far their income will go in a particular location. The user provides a ZIP code and the API responds with state, county, city, and other tax rates.
24. Mortgage Monthly Payment Calculator API
Mortgage Monthly Payment Calculator is a simple mortgage calculator API that helps users estimate the monthly cost of buying a home. The API takes in the purchase price of a home, down payment, interest rates, and other factors, and it returns an estimated monthly payment. Mortgage Monthly Payment Calculator API has applications across the real estate industry.
25. Plant Hardiness Zone API
The Plant Hardiness Zone API takes in a ZIP code and returns the U.S. Department of Agriculture plant hardiness zone. Hardiness zones provide a rough guide to help landscapers and gardeners select plants that can survive conditions in a particular part of the country, and zone data can add helpful information to real estate listings with outdoor space.
Real estate APIs provide powerful data that can inform buyers and improve property listings. The more relevant data you provide, the more clients can count on your platform for up-to-date listings and robust context.
To view the original article, visit the Realtyna blog.