Thank you for this opportunity!

Main.py

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+# Created by: Trent Kindvall
+#
+#Thank you for this oportunity.
+#
+#Quick note if I had longer I would have added logging and made a more robust
+#way to iterate through the xml tree.
+#I would also move the more robust iterater to its own file and function so that
+#it could be reused for other projects.
+#
+#There also apears to be an issue with people not filling out the bedroom and bathrooms feild
+#Parsing the description apears to have the answers.
+# If i had more time I would use the data in the description to create a better
+#data set by parsing it.
+#
+#
+import requests
+import datetime as dt
+import xml.etree.ElementTree as ET
+import pandas as pd
+
+
+#
+#with open('feed.xml', 'wb') as file:
+#    file.write(response.content)
+
+
+def xml_down(f,url):
+    response = requests.get(url)
+    with open(f, 'wb') as file:
+        file.write(response.content)
+
+def write_csv(name,xml_out):
+    with open(out_file, 'w') as f:
+        write
+
+def xml_iter(t):
+    df = pd.DataFrame( )
+    for listing in t.iter('Listing'):
+        l = []
+        room = []
+        for ListingDetails in listing.iter('ListingDetails'):
+            mlsId = ListingDetails.find("MlsId").text
+            mlsName = ListingDetails.find("MlsName").text
+            dateListed = ListingDetails.find("DateListed").text
+            price = ListingDetails.find("Price").text
+        for location in listing.iter('Location'):
+            StreetAddress = location.find('StreetAddress').text
+        for bd in listing.iter('BasicDetails'):
+            Bedrooms = bd.find('Bedrooms').text
+            Bathrooms = bd.find('Bathrooms').text
+            fbath = bd.find('FullBathrooms').text
+            hbath = bd.find('HalfBathrooms').text
+            tqbath = bd.find('ThreeQuarterBathrooms').text
+            description = bd.find('Description').text
+        for rd in listing.iter('RichDetails'):
+            Appliance = rd.find('Appliances').text
+            for r in rd.iter('Rooms'):
+                room.append(r.find('Room').text)
+
+        # makes sure there are
+        if fbath is None:
+            fbath = 0
+        else:
+            fbath = int(fbath)
+        if hbath is None:
+            hbath = 0
+        else:
+            hbath = int(hbath)
+        if tqbath is None:
+            tqbath = 0
+        else:
+            tqbath = int(tqbath)
+        if Bathrooms is None :
+            Broom = fbath + (hbath*.5) + tqbath*.75
+        elif Bathrooms < fbath + (hbath*.5) + tqbath*.75:
+            Broom = fbath + (hbath*.5) + tqbath*.75
+        else:
+             Broom = Bathrooms
+
+
+        l.append( [mlsId,mlsName,dateListed,price,StreetAddress,Bedrooms,Broom,Appliance,room,description])
+        if description.find('and') >=0 and dateListed >= '2016-01-01 00:00:00':
+            df = df.append(l)
+
+    #df.rename(columns={0:'MlsId',1: 'MlsName',2: 'DateListed',3:'StreetAddress',4:'Price',5:'Bedrooms',6:'Bathrooms',7:'Appliances',8:'Rooms',9:'Description'}, inplace=True)
+    return df
+
+
+def main():
+    url = 'http://syndication.enterprise.websiteidx.com/feeds/BoojCodeTest.xml'
+    xml_down('feed.xml',url) #download the XMl feed from the provied url
+
+    tree = ET.parse('feed.xml') #creates xml document from the download
+    root =  tree.getroot() #sets the root of the xml document
+
+    df = xml_iter(tree) #iterates over the xml data structure and returns a DataFrame
+    df.sort_values(by = 3) # 3 is the date column
+
+
+
+    out_file = str(dt.date.today()) + '.csv' #sets path for output file
+    df.to_csv(out_file,header = ['MlsId','MlsName','DateListed','StreetAddress','Price','Bedrooms','Bathrooms','Appliances','Rooms','Description'])#creates a csv with correct headers
+
+
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+certifi==2019.9.11
+chardet==3.0.4
+idna==2.8
+numpy==1.16.5
+pandas==0.24.2
+python-dateutil==2.8.1
+pytz==2019.3
+requests==2.22.0
+six==1.13.0
+urllib3==1.25.7
+wincertstore==0.2