How to use web scraping real estate data?


Ana Quil


Role of Data Scraping in Real Estate

Real estate is a business that generates significant commercial profit with minimal risk. More and more people are looking for real estate online, and it is a good opportunity for vendors to create customized property listings and broadcast them to the right audience. As the National Association of Realtors report states, 92% of people visit websites when searching for homes. It also demonstrates that technology played a huge part in transforming the processes and policies of the real estate industry. 

A well-performed and reliable real estate site has a huge database of listings, including property details, buyer, retailer, and agent information. It is this vast amount of data that helps make more informed decision easily and quickly. According to the National Association of Realtors, 52% of home buyers say the main purpose of a real estate agent is to find their desired property and 75% of home buyers choose the first agent they interview. Can we then conclude that agents are providing the necessary credible information to users? Definitely. 

However, there is also a high competition level in this field – hundreds of realtors in each region with hundreds of different offers. According to HomeLight statistics, there are over two million real estate agents in the United States alone. Here web data scraping comes into play.  It allows analyzing valuable business information to develop strategies with higher profitability and competitiveness, collect data from retailer and buyer profiles, real estate listings, trusted real estate agents, and so on. Realtors cull, sort, and analyze large amounts of information and user searches for practical applications, such as providing relevant real estate listings and properties. 

Read more about Web Scraping: Web scraping: explaining where, why, and how

What Benefits Have Real Estate Data Scraping?

The industry is rapidly evolving and businesses need innovative solutions to stay ahead of the competition. With scraping real estate data, realtors can evaluate potential buyers and get sales leads. As well as gather the following information: 

  • Property Sites

  • Amenities

  • Area

  • Property Agents

  • Monthly Rent

  • Parking Spaces

  • Property Types

  • Sales Price

  • Access to Updated Strategic Information

Web scraping provides large amounts of updated information, even from hard-to-reach places, revealing various business websites to create business solutions and stay ahead of the competition. 

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