kraravind

  #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)

kraravind

   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

kraravind

#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

kraravind

#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