The Impact Of Web Scraping On Real Estate Listing Websites

Real-estate listing portals are one of the most vulnerable websites to web scraping because of their business model. Property data listings and real estate photos are highly valuable and relatively easy to steal using malicious web scraping bots. With InfiSecure’s experience of protecting real estate listing websites from bot frauds, we have seen bots traffic reaching close of 70% of entire web traffic. We saw a bad bot traffic of up to 42% on real estate listing websites. These are mostly web scraping bots. For this reason, an effective bot protection platform is crucial for any online real estate website with an inventory of listing data.

How Online Bots Impact Real Estate Listing Websites?

Web scrapers are scraping your real estate website because they are making money with your listings. In return you are just left with higher costs and lost revenues. Here is how web scraping impacts real estate listing portals:

  1. Web Scraping from listing portals takes away your business

  2. Degraded SEO of your real estate listing portal

  3. High web infrastructure cost

  4. The effect of form spam and fake listings

An effective bot protection solution can help real estate websites with improving key KPIs:

  • Protect all listings in real-time
  • Decrease hosting and bandwidth costs
  • Prevent fraudulent lead forms and spam
  • Increase website speed
  • Avoid personal litigation costs

While a few real estate portals try to put in-house bot detection solutions in place to protect website from online bots, such traditional bot detection techniques are not much effective in terms of accuracy, are high cost intensive and use up engineering resources quickly. Blocking IPs and using rate limits to protect listing data is obsolete when a high percentage of bot traffic originates from IP addresses that belong to consumer ISPs and keep on randomly changing. A robust bot protection platform such as InfiSecure can protect real estate websites from all bad bots without impacting consumers or relying on blocking IP addresses.

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