import urllib.request,sys,time
from bs4 import BeautifulSoup
import requests
import pandas as pd
pagesToGet = 1
for page in range(1,pagesToGet+1):
print('processing page :', page)
url = 'http://norumors.net/?post_type=rumors/?page=' + str(page)
print(url)
#an exception might be thrown, so the code should be in a try-except block
try:
#use the browser to get the url. This is suspicious command that might blow up.
page = requests.get(url) # this might throw an exception if something goes wrong.
except Exception as e: # this describes what to do if an exception is thrown
error_type, error_obj, error_info = sys.exc_info() # get the exception information
print('ERROR FOR LINK:',url) #print the link that cause the problem
print(error_type, 'Line:', error_info.tb_lineno) #print error info and line that threw the exception
continue #ignore this page. Abandon this and go back.
soup = BeautifulSoup(page.text,'html.parser')
texts = []
links = []
filename = "NEWS.csv"
f = open(filename,"w", encoding = 'utf-8')
Statement = soup.find("div",attrs={'class':'row d-flex'})
divs = Statement.find_all("div",attrs={'class':'col-lg-4 col-md-4 col-sm-6 col-xs-6'})
for div in divs:
txt = div.find("img",attrs={'class':'rumor__thumb'})
texts.append(txt['alt'])
lnk = div.find("a",attrs={'class':'rumor--archive'})
links.append(lnk['href'])
data = pd.DataFrame(list(zip(texts, links)), columns=['Statement', 'Link'])
data.to_csv(f, encoding='utf-8', index=False)
f.close()