MATT DIXONARCHITECT CANDACE REMALYPROJECT MANAGER SPENCER SMITHBUSINESS ANALYST BRYAN LINTHICUMDEVELOPER ADAM STERNFELDTESTER Not Even Funny [Property.

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Presentation transcript:

MATT DIXONARCHITECT CANDACE REMALYPROJECT MANAGER SPENCER SMITHBUSINESS ANALYST BRYAN LINTHICUMDEVELOPER ADAM STERNFELDTESTER Not Even Funny [Property Details Team]

Proposed Project Timeline

Tasks Completed Installed necessary software Created a prototype Researched data mining techniques Successfully extracted data from Auditor’s website

Data Mining Decided to use iRobot web scraper to extract data from Franklin County Auditor website  Obtained a list of every street in Franklin County (  iRobot uses the list as search criteria  Able to output data to XML file or database

500&select=SUMMARY&curpage=* N042KKK MACARRAN CT 500&select=SUMMARY&curpage=* N042KKK MACARRAN CT

Problems Encountered Searching by street name can only return a maximum of 400 results (some addresses are being left out) Auditor’s website not always reliable for street name matching May take several days to extract information for all of Franklin County

Determining Foreclosures Can’t use foreclosure.com … doesn’t have full addresses Most likely use Fannie Mae (homepath.com) & Freddie Mac (homesteps.com) to get as much Foreclosure information as possible

Goals for Next Week Begin mapping out specifications and use cases Begin database design Refine web scraping for Franklin County Auditor’s website Create web scraper for homesteps.com and homepath.com