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#geo location | |
k9=soup1.find_all('meta') | |
lst=filter(lambda tag: tag.has_attr('name'),k9) | |
filt=filter(lambda tag: tag['name']=='geo.position', lst) |
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k6=soup1.find_all('span', class_="detail_cell") | |
#k7=soup1.find_all('span', class_="detail_cell last_detail_cell") | |
details=[] | |
for j in range(0,len(k6)): | |
details.append(k6[j].string) | |
#to locate length of detail |
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#Author - Aravind Kr | |
import time | |
from bs4 import BeautifulSoup | |
import pandas as pd | |
import numpy as np | |
import unicodedata | |
from selenium import webdriver | |
from selenium.webdriver.support.ui import WebDriverWait | |
from selenium.webdriver.support import expected_conditions as EC |
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#Streeteasy webscrape | |
#Author - Aravind Kr | |
import time | |
from bs4 import BeautifulSoup | |
import pandas as pd | |
import numpy as np | |
import unicodedata | |
from selenium import webdriver | |
from selenium.webdriver.support.ui import WebDriverWait |