Real Estate ~ Use Web Data Extraction to Make Smarter Decisions

1. www.websitedatascraping.com Real Estate: Use Web Data Extraction to Make Smarter Decisions E-mail: info@websitedatascraping.com Skype: nprojectshub

2. 5 ways Real Estate Data can Help You. Appraising property value Location, location, location Raw numbers over emotions Vacancy rates Market direction There are many situations where estimating the value of a property is necessary. Maybe you’re trying to list it online for the most accurate price, maybe you’re trying to get financing or you’re analyzing a property before purchasing. You want to get the most accurate value of how much the property is worth. You may have heard this mantra from agents and realtors. Location is one of the key factors that determine the value of a property. Unfortunately, it’s not straightforward to get access to structured real estate data from only that specific area you want to analyze. When it comes to properties, there are many numeric data points that can influence the price: square footage, age, lot size, last sold price, etc. When buying a property for yourself, emotions play a huge role in your decision making. Sometimes you are willing to pay more because you have strong emotional reasoning. When buying a property for investment purposes, the vacancy rate is a crucial factor that can be a deal breaker or even one of the main reasons you purchase a property. If the vacancy rate goes down in a market, the rents are expected to increase because the demand is higher. On the other hand, if the vacancy rate goes up that means the demand is lower so the rents are expected to decrease. Also, if you start monitoring the real estate market today with the help of web scraping, in the upcoming months and years you will have a tremendous amount of historical data. Mining this data can help you see the direction the market is moving towards and show you patterns you wouldn’t have been able to recognize otherwise.

3. Process and Challenges of Scraping Real Estate Data Scraping real estate data can seem simple at the beginning. These are the general steps if you decide to do it yourself • Identify target website(s) • Determine what data points you want to extract • Create a scraper with a tool like Scrapy • Store the data in a database • Mine the data to get insights You will need to extract a lot of data regularly if you want to get the most insights. For this, you need to extract data at scale. There are many challenges and hurdles you need to go through if you decide to extract data from the web at a large scale.

4. Learn More About Real Estate Data “ Scraping real estate data has huge potential for anyone who is in the real estate market. Especially because for many this is still an untapped opportunity. Also, the web data extraction tools you can choose from have evolved a lot in the past years so either you do it yourself or partnering with a web data scraping company like WebsiteDataScraping, you will be in a great position to start gaining value from public web data and get a competitive edge. “ www.websitedatascraping.com

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