Predict how prices will move, anticipate market trends before your competitors, and optimize your investments with iScrapy, the #1 web data platform for real estate
Conduct instant price comparisons of properties with data collected simultaneously from across real estate platforms Build your own comprehensive database of property listings Be alerted in real-time as new properties are listed by agents and property owners Get insight into a property’s neighborhood with data about its schools, hospitals, facilities, safety, and crime rates, and collect data to understand the most valuable features of homes like size, floor, parking spaces, elevator, etc. Monitor pricing trends and amenities by desired locations, and understand homebuyer expectations in different neighborhoods with localized data
Forecast sales, ROI, and predict future trends with real-time and historical real estate data on market cycles, lowest values, peak prices, and purchase trends Analyze negative and positive rental cycles of the market, uncover vacancy rates, and identify properties with the highest rental yields based on location to determine investments Determine what’s going on in the overall market, identify the best investments, and align your goals Customize advertisements and offers that target potential home buyers with region-specific real estate data (prices, safety, average family income)
Predict market movements in specific locations with demographics data and public data from government sites like: US Census bureau, home builders associations, municipal city planning, assisted living centers, credit ratings, etc. Uncover customer sentiment by collecting home buyer reviews, rankings from property listing websites, and social media data like real estate group posts, and more Make better investment decisions with data related to REITs Extract detailed information about real estate agents and new development trends from social media forums, directories, agency profiles, etc. Determine if the information on a realtor’s website is complete with data aggregation from competing realtor websites
