import re
text = r'''R2507956,2242 Grant Street Vancouver BC V5L 2Z7,1699000,5,2,House,13
R2500627,305-1006 Beach Avenue Vancouver BC V6E 1T7,981000,2,2,Condo,34
R2512107,680 W 6th Avenue Vancouver BC V5Z 1A3,989000,2,2,Townhouse,1
R2512000,208-607 E 8th Avenue Vancouver BC V5T 1T2,574900,1,1,Condo,1
R2511923,2146 W 14th Avenue Vancouver BC V6K 2V7,2248000,3,3,House,31
R2511301,2638 Charles Street Vancouver BC V5K 3A5,1890000,8,8,House,18
R2511809,307-2080 E Kent Avenue Vancouver BC V5P 4X2,449000,1,1,Condo,2
R2511747,1408-1775 Quebec Street Vancouver BC V5T 0E3,679900,1,1,Condo,5
R2511972,306-7180 Linden Avenue Burnaby BC V5E 3G6,448800,1,1,Condo,30
R2511059,7760 Berkley Street Burnaby BC V5E 2J7,1150000,2,1,House,20
R2511262,1106-9222 University Crescent Burnaby BC V5A 0A6,629800,2,2,Condo,4
R2510818,5190 Fulwell Street Burnaby BC V5G 1P2,1390000,7,4,House,15
R2510183,5712 Grant Street Burnaby BC V5B 2K4,1698000,3,4,House,18
R2512071,8154 Gilley Avenue Burnaby BC V5J 4Y5,2488000,9,9,House,1
R2510573,5059 Norfolk Street Burnaby BC V5G 1E9,1299000,4,4,House,7
R2512173,11226 236 Street Maple Ridge BC V2W 0C8 ,900000,4,4,House,35
R2512052,21560 Ashbury Court Maple Ridge BC V2X 8Z7,775000,3,2,House,43
R2508895,227-12258 224 Street Maple Ridge BC V2X 8Y7,474900,2,2,Condo,12
R2512451,102 Croteau Court Coquitlam BC V3K 6E2,948000,4,2,House,20
R2512494,1803-1185 The High Street Coquitlam BC V3B 0A9,968000,3,2,Condo,10'''
number_of_bedrooms = 3
city_name = 'Vancouver'
rx = r'^R[0-9]{7},([^,]*\b%s\b[^,]*),\d{1,9},(\d+)' % (city_name)
for line in text.splitlines():
    m = re.search(rx, line, re.IGNORECASE)
    if m:
        if int(m.group(2)) >= number_of_bedrooms: 
            print(line)

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