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Real Estate Data Intelligence Company Uses PromptCloud’s Web Scraping Services to Stay Ahead of the Curve

Many real estate firms have long made decisions based on a combination of intuition and traditional, retrospective data. Today, data enables market intelligence firms to help real estate players to paint more vivid pictures of a location’s future risks and opportunities. Web scraping is the solution that can help real estate businesses to flourish better and add more valuable and relevant information to create effective lead-driven strategies.

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2X Leads

100% Quality Data

19% Increase in profits


Online presence is increasingly becoming one of the most important things for any business nowadays. The reason for it is that business markets everywhere are ultra-competitive. Suppose you want your company to succeed in the ocean of companies providing the same or similar services. In that case, you need to have a better and more efficient online presence capable of presenting competitive prices, better service, and more reliable information on the specific industry. In this and many other ways, the real estate business is one of the most competitive businesses out there. And it makes a lot of sense, really: every region has a considerable number of real estate companies all competing for the valuable place in the market. Commercial real estate data is what can help the real estate industry to flourish better. With valuable data, the real estate agents can sell better to prospects, capture the right leads, and cater to their exact needs. 

With the technology growing and the development of unique solutions in today’s market, one such solution can help retrieve data. ‘Web scraping’ can be a solution that can help the real estate business for any agents to flourish better and add more valuable and relevant information to create effective lead-driven strategies.

About the Client

With more than 10 billion data points on US commercial and residential properties, our client is the nation’s trusted resource for real estate intelligence, including indices that track trends like construction and remodels. Their products serve the entire real estate ecosystem, helping them to answer essential questions about property improvements, structural risks, and changes over time.

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A real estate intelligence agency cannot afford to have gaps in its residential or commercial property data. After dabbling in and growing out of in-house web crawling methods that were not yielding on-demand data that their customers wanted to buy, our client decided to look for solutions. Extracting data from various sources and storing information manually was a tedious and expensive task prone to errors.

Besides, the client’s in-house solution required overheads. The development team, which was tasked with the responsibility of web scraping sophisticated datasets that would enable the end customer to make a purchase decision, was delivering scattered, inconclusive results.

The product manager required a reliable web scraping solution that could automate the web crawling process across various data sources and generate actionable datasets faster than anyone else on the market. After sifting through many DIY web scraping tools and software, the client decided on PromptCloud, data as a service provider.

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Initially, we worked closely with the client to understand their requirements. The client presented a list of source websites to be crawled. The data requirement was huge as the client wanted to scrape data fields, such as Title, Street Name, City, State, Zip Code, Price, Facts and Features, Real Estate Providers, and URLs.The data had to be extracted on a daily basis. 

Our team set up crawlers to fetch the data points from the provided source sites. Since every website in the source list had a different structure and design, site-specific crawl and extraction was the offering that suited this case. Based on the client’s preference, the data was uploaded to the client’s Azure servers in XML format. After stabilizing the crawlers, PromptCloud was able to deliver millions of real estate listings on a daily basis.


With PromptCloud, the client reduced inefficient overheads and time-consuming methods that were proving to be expensive roadblocks in their growth path. Our web scraper came in handy and helped the organization achieve the scale of operations. This further helped the client to improve their market position by delivering smart insights from the data. 

Our data automation capabilities reaped lasting rewards for the real estate market intelligence company. The ease of functioning and the authenticity of data compelled our client to use our scraping services for their other crawling requirements. The real estate market data helped them function as a lean organization taking effective measures to increase sales through sophisticated real-time information.


  • Real estate data scraping helped the client in effective data visualization. The further helped them to assist their customers in property value tracking. 
  • The complicated cases of dynamic websites were effortlessly handled by our tech stack
  • The client was able to start their market research using the delivered ready-to-use data within a short time span
  • The cost of data was significantly lower than what the client would incur with an in-house web scraping setup
  • With qualitative and applicable empirical data rather than obsolete or incomplete knowledge, the client could derive smart insights.
  • They built trend analysis with variables – pricing, search keywords, sentiment, reviews, geo differences, and much more.

Global leaders in the Ecommerce space are using PromptCloud to crawl Ecommerce websites and acquire high-quality web data. Don’t get left behind!




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