Today big data is changing the face of the real estate industry since more & more businesses are trying to implement data-driven decision-making strategies. It would help multiply profits, increase customer satisfaction, and mitigate market risks. Though, in turn, web scraping enables real estate businesses to collect real-time data from online resources while offering a large pool of insights about the real estate market, competitors, customer expectations, and the economic status of certain areas and populations.
Web scraping refers to the process of gleaning publicly available data from websites and other such digital entities. This concept offers a particularly interesting scope in the real estate sector owing to the cut-throat nature of the competition that exists there and the need for data it drives. Thankfully, a handy solution has been found in web scraping, allowing real estate companies access to the data they need.
Listed below are some of the key benefits of web scraping in the real estate industry:
Collate Property lists
A web scraper serves myriad purposes for a real estate business but perhaps one of the more interesting of these purposes is property lists. This nifty tool can be leveraged to deliver enhanced customer experiences to clients by putting together a list of properties that are in sync with their individual preferences, needs, etc.
Given the inherently intricate nature of the real estate market, it is of vital importance that companies operating in this sector understand what this particular market is unto, i.e. trends. Web scraping is conducive to that pursuit, empowering companies with raw data that can be processed to reveal the requisite insights.
New-age scrapers offer advanced functionalities such as geo-targeting, allowing companies to collect geography-specific insights from the real estate industry’s raw data.
Allow us to now walk you through some of the key use cases for web scraping in real estate:
When you scrape the World Wide Web for historical as well as real-time real estate data, you gain the ability to run in-depth analysis and achieve insights about trends, buying prices, etc., consequently enabling high-value market forecasts.
Another advantage real estate companies stand to gain from their market competitors’ data is insights into customer expectations, prevalent market rates, etc. Together, such insights help companies optimize their pricing strategy as well as prices.
Web scraping of data from different property websites allows companies to gather crucial data, such as property rankings, reviews from home buyers, etc. — all factors that offer insights about their target audience’s needs, expectations, etc.
Finally, a quick look at some of the best practices for web scraping in real estate:
We will start with what is perhaps the most important advice to keep in mind when it comes to web scraping: ALWAYS make use of ethical and standard tools to collect data, i.e. deceitful methods of accessing data are a big no-no!
Yet another crucial best practice to keep in mind in this regard is the use of rotating IPs and proxy servers to ensure that your crawling spider is not detected and blocked.
Switch between Crawling patterns
It is imperative to use different crawling patterns because a growing number of websites across the world now safeguard their data and use a variety of anti-scraping technologies which can identify spiders that follow a repetitive crawling pattern for prolonged durations.
There you have it, ladies and gentlemen, some of the most important details you need to know about web scraping in real estate. It may seem like a challenging endeavor at the start, but the fact remains that scraping operations stand to deliver a world of benefits for any real estate company that chooses to leverage it. So, what are you waiting for? Go ahead and start looking for a trusted service provider who can fortify your Real estate portal development project with the requisite skills and expertise and thus ensure its success.