Created
November 23, 2018 10:35
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# coding: utf-8 | |
# In[1]: | |
import numpy as np | |
import matplotlib.pyplot as plt | |
import pandas as pd | |
import requests | |
from bs4 import BeautifulSoup | |
# In[2]: | |
url ='https://www.worldatlas.com/as/in/cities-in-india.html' | |
## Fetch the webpage | |
r = requests.get(url) | |
print type(r) | |
# In[3]: | |
r.status_code | |
# In[5]: | |
info = r.text | |
# In[6]: | |
soup = BeautifulSoup(r.text, 'html.parser') | |
# In[7]: | |
city=[] | |
# In[8]: | |
table_inf = soup.find_all('tbody') | |
# In[9]: | |
doc=table_inf[0] | |
# In[10]: | |
gop=doc.find_all('tr') | |
# In[11]: | |
City=[] | |
# In[12]: | |
for ix in range(len(gop)): | |
k=gop[ix].find_all('td') | |
s=k[0].encode('utf-8') | |
f=s.split(".html") | |
l=f[1] | |
k=0 | |
for ixx in range(len(l)): | |
if l[ixx]=='<' and l[ixx+2]=='a': | |
City.append(l[2:ixx]) | |
# In[13]: | |
import pandas as pd | |
# In[14]: | |
data=pd.DataFrame(City,columns=["CITY"]) | |
# In[15]: | |
data.to_csv("city.csv",header=None,index=False) | |
# In[16]: | |
pd.read_csv("city.csv") | |
# In[134]: | |
len(city) |
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