In the time what went before, it was common for real estate dealings to be distinct, and paper-based operations were carried out on a one-to-one basis. With the development of the internet and every industry making its way into it, the real estate began industry has started realizing its exact potential on the World Wide Web. It is hard to deny the fact that the internet is the easiest and most affordable tool at the seller’s disposal.
As a result of the increasing presence of potential end users online, realtors conceive the internet as a second-to-none source to advertise property listings, whilst automating the entire process. Statistics are of the view that 40% of potential end users inquiries result from internet advertisements and 9 out of 10 people make use of the internet to look for property. Additionally, the same property can be enlisted on several sites to enhance the traffic and the corresponding odds of a sale.
This refers to a variety of amazing opportunities for a realtor. However, harnessing correct data out of big data to a non-technical realtor is such like searching for a needle in a haystack. The web is teeming with an abundant amount of information ensuring a host of choices and comparisons can cause momentous confusion, making it challenging to fathom and make sense of.
Web scraping is the process of sorting through overwhelming amounts of data, refine the user’s searches and offer a list of exact information as required. In the case of a realtor’s case, it is the go-to tool for well-organized property listings. Scraping the web offers parameters which the realtor can study extensively to resolve sales and potential buyers. Parameters extracted by web scraping include as follows:
1. Property value tracking
Let take in consideration that you are looking to put your property on sale. Scraping the web to get the value of analogous properties can help you in setting a prospective value independently. This enables users looking for such properties to get sumptuous deals, and on the other hand, you are getting a cost-effective one.
2. Making the right investment
Getting your hand on real estate data is quite challenging, in the wake of which most investors make fiscal investments without seeing or considering. Using a real estate scraper, an investor can resolve decisions depending on qualitative and pertinent empirical data, instead of out-of-date or unfinished information. Aggregating property data from real estate listing websites is essential for investment analysis.
3. Rental Yield
Rental yield is the salient factor to be taken in before you start investing in the real estate property. By scraping data from real estate websites through real estate scraper, you can resolve which properties have the most favorable rental yield for any suburb. Additionally, scraping answers which property types (house, apartment, 1 bedroom, 2 bedrooms) are more preferred in a specific domain and deliver the most favorable ROI.
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