How can I use web scraping to extract real estate data from Zillow?
The real estate market is constantly growing; with it, real estate agents and companies are trying to find new solutions to show what the future holds. While real estate generally doesn’t change drastically from one day to the next, it is influenced by far too many factors for an individual or even an organization to keep track of.
So will prices go up or down? Which parts of the city are particularly in demand? Are there properties that just need a makeover to skyrocket their value? These are just some of the questions real estate agents often ask themselves.
Answering these questions requires a lot of research data to compare, and manually collecting such amounts of information would be like wild goose hunting. This is where web scraping comes in handy, collecting and structuring data in no time:
As we all know by now, web scraping is the powerhouse of data mining! So if you want to learn more about why someone would want to scrape real estate data off the internet and how to do it right, let’s continue our journey together. We have developed both a do-it-yourself solution and a step-by-step guide on how Web Scraping can do this.
Role of data scraping in real estate
Real estate is a business that generates significant commercial returns with minimal risk. More and more people are looking for real estate online, and this is a great opportunity for providers to create bespoke real estate ads and send them to the right audience. According to the National Association of Realtors report, 92% of people go to websites when looking for housing. It also shows that technology has played a major role in transforming the processes and policies of the real estate industry.
A well-functioning and reliable real estate website will have a huge database of listings including property information, buyer, dealer, and agent information. It is this huge amount of data that helps make more informed decisions easily and quickly. According to the National Association of Realtors, 52% of homebuyers say that the primary purpose of a real estate agent is to find their desired property, and 75% of home buyers choose the first realtor they interview. Can we conclude that agents provide users with the necessary credible information? Definitely.
However, there is also a high level of competition in this area – hundreds of brokers in each region with hundreds of different offers. According to Home Light statistics, there are over two million real estate agents in the United States alone. This is where web data scraping comes into play. It allows the analysis of valuable business information to develop strategies with higher profitability and competitiveness, collect data from dealer and buyer profiles, property overviews, trusted real estate agents, etc. Real estate agents select, sort and analyze large amounts of information and user searches for practical applications such as the supply of relevant real estate offers and properties.
What are the advantages of scraping real estate data?
The industry is evolving rapidly and companies need innovative solutions to stay ahead of the competition. By scraping real estate data, real estate agents can assess potential buyers and acquire leads. You will also receive the following information:
Real Estate Agents
Best real estate site for buyers and sellers in 2022
Zillow.com is one of the largest and best real estate sites for people buying and selling homes. It’s more than a site where you can browse property listings, though the large MLS database is reason enough to include it in this list. It is unusual that you can search specifically for foreclosures and newly built homes. We list it here because of its large, free dataset. For example, it shows you historical home values for an area and expected home values by neighborhood.
You can also see the average rents. They attract visitors by providing free advice on how much you can afford to rent and tips on how to fill out a rental application. Zillow has a large database of homes for sale or rent. This allows you to find potential rental homes and learn the comparable rental price for a neighborhood. In contrast, sites like Rentometer only allow you to estimate the rent for a particular property. And Zillow helps you find mortgage lenders once you’ve found a property to buy.
How to extract property details and agent data from Zillow using Zillow Real Estate Scraper
Nowadays property data is more important for agents and buyers. Zillow is a big market for scraping real estate data and agent data Ahmad Software Technologies created a project script Zillow Real Estate Scraper and Zillow Real Estate Agent Scraper both are the different scripts of United Lead Scraper, You just need to download and install United Lead Scraper and run your needed script. If you want home owner’s data then you need to run Zillow Real Estate Scraper and if you want only agent’s data then you need to run Zillow Real Estate Agent Scraper. Our tools are best in performance and different from other tools because our tools are user-friendly and easy to use. For running our tool you don’t need to know about coding because we create our tools for especially non-coders.
Key features of our tools
We put an auto delay option in our all tools when tools request to simulate they think he is a human being.
We also give saving last search history for any problem if system problem, Network problem, etc.
Auto pagination option for automatically moving to next page
You can use the filter option after extracting data for remove, add, delete and edit, to get your targeted list.