Use cases of web scraping in real estate<\/h2>\n\n\n\n

There are several ways of using data scraping in real estate. Depending on the business goal, it can be applied in: <\/p>\n\n\n\n

• Aggregators<\/strong>
  Such platforms are most commonly based on web scraping technology, indeed. In this case, it\u2019s the only available solution that enables keeping such websites updated with deal offers coming from various sources.<\/li>
• Monitoring competition<\/strong><\/li><\/ul>\n\n\n\n

  Web scraping allows to automatically collect and analyze pricing data and react immediately to all market fluctuations. This helps real estate businesses gain a competitive advantage. <\/p>\n\n\n\n

  • Forecasting<\/strong><\/li><\/ul>\n\n\n\n

    Collecting data, observing trends and analyzing historical information help to predict market direction. Based on this, investors and agents are able to make more accurate tactical and strategic decisions in order to increase the ROI.<\/p>\n\n\n\n

    • Identifying opportunities<\/strong><\/li><\/ul>\n\n\n\n

      By gathering market information, web scraping helps to recognize opportunities. In fact, many investments are done blindly. With web scraping which collects accurate data, decisions can be more grounded. <\/p>\n\n\n\n

      • Calculating rental income<\/strong><\/li><\/ul>\n\n\n\n

        The profitability of the real estate business depends on the balance between rental fees and maintenance costs. So, having detailed and updated data about market prices is simply invaluable. Calculating income with relevant information can make the business adjusted to market reality and more profitable. <\/p>\n\n\n\n

        • Creating interesting content<\/strong><\/li><\/ul>\n\n\n\n

          As we already agreed, most real estate deals are starting online. However, to attract buyers to the agent\u2019s website, there is still some work to do – such as creating valuable content. Using online platforms is a great way to interact with clients and motivate them to purchase. With web scraping you can search for the most interesting and trending topics across the Internet, and based on this prepare an efficient content strategy.<\/p>\n\n\n\n

          Web scraping for real estate – case study<\/h2>\n\n\n\n

          At DMA Labs we\u2019ve recently prepared a script collecting prices from the top 10 real estate Polish websites. In this project we monitor properties from both primary and secondary markets on a daily basis, including parameters such as average price per square meter, total price, location, size and agent info. We\u2019ve also created an interactive map where average pricing areas are indicated with a specific colour, which makes deals-hunting even easier. <\/p>\n\n\n\n

          Thanks to this, our client can find the most profitable deals on the Polish market, in every location, without doing tedious, manual and long-lasting research. Because of frequent map and data updates, the client can be sure that the information is always relevant.<\/p>\n\n\n\n

          To learn more about web scraping for real estate, its benefits and opportunities, feel free to contact us. We will be happy to provide you with more information and share with you more of our successfully completed projects. <\/p>\n","protected":false},"excerpt":{"rendered":"

          We\u2019ve already waved goodbye to the times when real estate deals were […]<\/p>\n","protected":false},"author":1,"featured_media":73,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[11,5,10],"class_list":["post-71","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-webscraping","tag-real-estate","tag-web-scraping","tag-webscraping-for-real-estate"],"yoast_head":"\n