The real estate industry will transform completely with the influx of big data analytics. Helping not only to effectively run and operate the business but also you will enjoy the benefit such as make informed decisions, predict market conditions, provide better services and increase sales. There are so many nuances to the real estate industry including predicting the right price of the property by monitoring the sale/offer price of similar property in the area on a per square foot basis. The further process involves averaging and comparing a price point with similar properties to get an average price per square feet.
Data Scraping can be a lot of help in the above mention scenario, data scraping process typically refers to scraping the data from the Multiple Listing Service database that holds the information about working knowledge of agents, listings, plots, and prices. By using the data and effectively organizing the data in the excel sheet will help in proper analysis and accurate interpretation of the market trend. Since, the buyer is constantly looking for extensive details about the property and seller wants to ensure the profitable pricing.In the retail business, data scrapingcan be differentiated into two parts for buyer and seller, which are:
It is useful for the real estate agent to collect the data or information from the internet. After data is scraped yourproperty agents can organize it in a suitable format to analyse it. The information needs to be collected can be gained from the internet by setting search parameter such as location, size, prices, reviews, etc. The previous way of manually scraping the data is tedious, inefficient and lacking in terms of quality. Butwith the introduction of the internet one can be assured of the new data since it is updated regularly.
Web scrapping advantage includes the extraction of the agent details this can help to make the real-estate business more profitable. One can use the data scraping for information like agent websites, chat rooms, profiles, communities to get hold of vast amounts of detailed data on real estate agents.
Global Housing Market – Statistics & Facts
So, the growth in the sector is hugely derived by the need for both the corporate needs of offices and urban and semi-urban accommodations that tag along with the socio-economic development.
In the Asia Pacific
Indian Real Estate sector is expected to grow up to US$1 trillion by 2030, and contribute 13% GDP in the year 2025. Other than the market size the government initiatives and investments show, positive signs for the real estate industry in India. Other than India, Hong Kong is the major Real Estate market in the Asia Pacific, the cost of buying flat on Hong Kong Island in the year 2006 was 49 thousand Hong Kong dollars per square meter and the figure has jumped to 160 thousand Hong Kong dollars in the year 2017.
In the USA
U.S.A has seen a boom in housing prices over the last half-century. As of 1965, the housing price in the U.S averaged about 21 thousand and in the year 2018, the figure is reached 385 thousand.
In Europe
United Kingdom, France, and Germany are three of the Europe’s costliest real estate markets. In the year 2017 itself the average per square meter averagedto about 4,397 euros. Other than that Hungary averages about 1,164 euros.
For housing prices, England is ranked at the top with the highest housing price and Netherlands is at lowest with the most affordable housing price in Europe, as of June 2019.
Top Real estate property listing & broker agent’s website & Mobile apps country wise
Listing sites are important and choosing the advertising method or dialogue to sell is highly dependent on the trends.All you need to understand as a realtor is that advertising on a good listing site will help you cut through the noise. Listing website and broker agent website help you bring more buyers by advertising on them. Here we have narrowed country-wise some listing site and mobile apps for you that can help you do that:
Zillow
Zillow has earned the top spot in hearts of homebuyers and sellers throughout the US, more than 110 million US homes for sale, rent and homes currently not on market.
Trulia
Trulia is owned by the Zillow but there is the difference, Trulia is more of a one-stop-shop for homebuyers and sellers. Other than that, the Trulia also provides other details of the neighbourhood, crime rate, etc.
Realtor.com
Realtor.com is currently the biggest listing site and official listing site of the National Association of Realtors. Other than that, it listing inputted on the Realtor.com comes directly in MLS systems which make it different from Zillow and Trulia as they depend on the listing data from broker sites.
Keller Williams Realty
It is another biggest listing website and one of the largest property sellers in the US. Keller William Realty operates all over the Globe and has 900 offices.
RE/MAX Real Estate
It is a World Leading brokerage, operates in more than 100 countries across the globe and has a huge network.
If the answer to above questions is yes then you can surely take the help of web scraping services to achieve the following-
• They help you save your time they are efficient and precise and give you exact data that you want.
• They also provide data in the desired format, formatting takes a lot of time better to save it.
• Cost-effective
• You get the benefit of a recurring crawl where you can extract data from the same website again and again in an equal interval of time.
What is the legality of web scraping?
Web Scraping is legal until you perform it responsibly and take note that you don’t cause any harm to the target website, the web scraping is a simple technique in which you automate the procedure but there are some rules to follow and avoid copying of data from websites.
Why real estate Brokers, agents, and property firms choose data extraction?
Data Extraction or web scraping helps the real estate sector by providing an overwhelming amount of data. The Data gain can help to improve further on refining searches and listing with the help of relevant information. Scraping Data for real estate their parameters that can be used by the broker, agents, and realtors to further analyse the situation and determine the prospective buyer and determine sales.
Parameters extracted by web scraping are:
• Size
• Property type
• Sale price
• Location
• Agent Contact
• Amenities
• Parking spaces
• Monthly rental price
The parameter can be further organized in the excel sheet for further studying. The benefits that one gets due to Data Extraction are as follows:
1. Property Value Tracking
Real Estate business revolves around the evaluation of the property, scraping data aid you in evaluating the good value on your own. The user gets the power of choosing a property with a great and fair deal also profitable for the seller.
2. Making the Right Investment
Obtaining Data can be hard but still making a financial investment decision blindly is not an answer. Web Scraping helps you to make your decision based on quality and relevant empirical data.
3. Rental Yield
While investing in property you need to look at the renter yield, it is the important data on which you can now get your hands on. The properties can be classified according to their rental yield that will provide depth to your analysis while searching for property or making the investment.
4. Track vacancy rates
As the vacant property is of no use to minimize that risk you can avoid to that property that has higher vacancy rates.
Influence of big data in the real estate sector
In the Real Estate the fixing price of the property is of great importance but the case is the prices are very much tangible. The implementation of big data in real estate property is the best solution available currently. The big data can help the real estate sector in a lot of ways, realtors can now predict the cash flow requirements for future demand of property.
As an interested party searching for property one can now make and understand more about his/her needs with the help of searches made on specific parameters and make the decision accordingly
Other than companies now can offer their property in the market efficiently and smartly, big data provides insight about the buyer’s needs and interested people list-making realtors now meet the right people easily. Also, marketing campaigns and the use of email marketing and influencers can help a lot to target the audience accordingly and gain the trust of the consumer.
SEE ALSO: Mobile App Scraping Service
Conclusion
The phenomenon of the use of big data in real estate has just begun. More and more companies are now recognizing the power of data. Since real Estate data are hard to extract the implementation of big data in the real estate sector is slow but it surely going to profit the industry. Data is like hidden treasure if used if you can solve the layers of the so-called complex data.
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