import requests
r = requests.get('https://www.baidu.com')
from bs4 import BeautifulSoup
soup = BeautifulSoup(r.text, 'html.parser')
results = soup.find_all('span', attrs={'class':'short-desc'})
records = []
for result in results:
date = result.find('strong').text[0:-1]+',2017'
lie = result.contents[1][1:-2]
explanation = result.find('a').text[1:-1]
url = result.find('a')['href']
records.append((date, lie, expalanation, url))
imort pandas as pd
df = pd.DataFrame(records, columns=['date', 'lie', 'explanation', 'url'])
df['date'] = pd.to_datetime[df['date']])
df.to_csv('trump_lies.csv', index=False, encoding='utf-8')
import requests
r = requests.get('https://www.bai
阅读背景：
提取网页数据保存为csv文件
来源：互联网
分享到：
