finance_news.py

from bs4 import BeautifulSoup
import requests

url = 'http://finance.naver.com/news/news_read.nhn?article_id=0003970730&office_id=008&mode=search&query=%BB%EF%BC%BA&page=1'

response = requests.get(url)

web_data = response.content

soup = BeautifulSoup(web_data, 'html5lib')


article_info = soup.find('div', {'class': 'article_info'})

article_title = article_info.find('h3').text.strip()
article_date = article_info.find('span', {'class': 'article_date'}).text.strip()

article_content = soup.find('div', {'class': 'articleCont'})

for element in article_content.find_all('div', {'class': 'link_news'}):
    element.decompose()

for element in article_content.find_all('a'):
    element.decompose()

article_content = article_content.text.strip()

print(article_title)
print(article_date)
print(article_content)