With the Internet revolution taking over the real estate sector, people have found the internet as the perfect medium to advertise, find new customers and find new investment opportunities. A typical realtor will list their property on several websites to increase visibility and a customer will go through hundreds of listings online to make an informed decision on renting, buying or selling
Unfortunately these sites including the likes of Airbnb do not offer an API (data feed) for people to perform market research. With Webautomation you can extract relevant data to help you analyse the market with speed
Track Vacancy/Occupancy Rates
Scrape data for when a property is listed for rent and when its occupied and use this to predict occupancy rates across geographical areas
Predict Rental Yield
Scrape listings across various geographical areas you can compare which areas or property types have the best yield
Pricing
Scrape Sales and rental pricing from rival properties and use the data to price your property intelligently
Track Property Value
Scraping listings websites you can track which properties are increasing or decreasing in value and use that to make investment decisions
Transform Real Estate websites into structured data
With WebAutomation you can extract details about Location, for sale/rent, prices and more from sites like Zoopla, Zillow etc
