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Crawl local MLS listings | PromptCloud
 

Crawl local MLS listings

Local MLS sites are a one-stop destination for real estate dealings. For the same reason, these sites contain a huge amount of data that could be useful to people in the real estate business. This data can be used to start your own real estate company, run a real estate portal, or to do a thorough market research on the industry. Having relevant data that can back your business is crucial when it comes to staying ahead in the competition.

MLS listingsHow web crawling works

Web crawling involves writing programs to crawl and fetch required information from multiple websites at speeds never achievable by humans doing the same task. Crawling needs technical expertise, but after the initial setup, the system almost runs on autopilot providing you the data you need. The input required for setting up a web crawling system is the list of source websites and the data points to be extracted from the sites. When it comes to MLS listings, sites like Rightmove, Zoopla and PropertyFinder are great sources for scraping real estate listings.

Extracting data from MLS listings

Before data can be extracted from MLS listings, the data points that are required for your particular use case have to be defined. The common data points you can get from MLS listings are property details like area, number of bedrooms, year of construction, amenities, price, contact details and much more. Web crawlers are set up exclusively for each site with the data points to be scraped as the targets.

How PromptCloud can help

PromptCloud takes the pain away from real estate data acquisition for businesses. Our dedicated web crawling solutions are ideal for large scale data needs. Scraping data from MLS listings can be achieved by using our site specific crawling solution. All you need to provide is the list of MLS listing sites and the data points you need from these. With our years of expertise in the field, we can even suggest the best sources for your data requirements. The output we provide is clean structured data in the format you prefer like CSV, XML or JSON. Since these are popular document formats, you won’t face any compatibility issues.

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