O’Connor | Accurate Real Estate Data & Market Trends

There was a time when real estate businesses were distinct, paper-based operations completed on a one-to-one basis. Because of the growth of the internet as well as every industry getting its way onto it, the real estate started to understand its real potential online. Without a doubt, the internet is the most valuable tool at the seller’s disposal.

Having a huge number of prospective buyers online, the realtors find the internet as an outstanding source to market property listings automating the entire procedure. Statistics indicate that 40% of the buyer inquiries come online and 9 out of 10 people are using the internet for property search. Furthermore, a similar property could be enlisted on various websites to increase traffic as well as corresponding chances of making a sale.

This indicates endless opportunities for realtors. However, harnessing applicable data out from big data to any non-technical realtor is similar to looking for the needle in a big haystack. The World Wide Web has a huge amount of data leading to a lot of comparisons and choices that can result in confusion, making that hard to measure as well as understand.

Web Scraping in the Real Estate is There to Rescue

Web scraping is the procedure of sorting a huge amount of data, enhancing a user’s searches as well as offering a listing of applicable data. In the realtor’s case, this is a go-to tool to organize property data listings. Extracting the web offers parameters that a realtor can study to regulate sales as well as potential buyers. Parameters scraped by web scraping include:

Agent Contact

Amenities

Location

Monthly Rental Pricing

Parking Space

Property Type

Sales Price

Size

All this information is shown in the form of a spreadsheet, helping a realtor to do comparisons of application parameters.

1. Track Property Value

Let’s pretend you want to sell a property. Extracting the web for values of related properties can help you set good values on your own. It helps users in searching for such properties for getting fair and profitable deals.

2. Make the Right Investments

Getting real estate data is not easy and the majority of investors make business investments carelessly. Using web scraping, any investor can take decisions depending on relevant and qualitative experiential data, rather than incomplete or outdated information. Scraping real estate data from property listing websites is important for doing investment analysis.

3. Rental Yields

Rental yield is amongst the most important factors to be measured before property investment. By extracting data from property websites, you can find which properties have the finest rental yields in any suburbs. Furthermore, extracting answers which real estate types (apartment, house, 1 bedroom, and 2 bedrooms) are more favorite in any particular area as well as yield the finest Return On Investment.

4. Tracking Vacancy Rates

Any unoccupied investment property may prove risky. For minimizing the risk, it is important to analyze different property data as well as suburbs that have high rental listings.

The given parameters are the most related decrypted by web scraping using many websites online. Getting the given details at your fingertips increases a realtor’s efficiency in decision making, faster and better communication, as well as profitable sales. The part of web scraping in retail has just started however its prospective is limitless!