我正在尝试从this web page中提取文章的文本内容。
我只是尝试提取文章内容,而不是“关于作者部分”。
问题在于所有内容均不在<div>
之类的标记内。因此,我无法提取它们,因为它们都在<p>
标记内。当我提取所有<p>
标签时,我也得到了“关于作者”部分。我必须从这个网站上抓取许多页面。有没有办法用美丽的汤来做到这一点?
我正在尝试:
p_tags=soup.find_all('p')
for row in p_tags:
print(row)
答案 0 :(得分:3)
所有想要的段落以及用于作者信息的段落都位于<div class="td-post-content">
标记内。但是,必需的<p>
标签是此<div>
标签的直接子标签,而其他不需要的<p>
标签不是直接子标签(它们嵌套在其他div
标签中)
因此,您只能使用recursive=False
来访问这些标签。
代码:
import requests
from bs4 import BeautifulSoup
headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'}
r = requests.get('https://www.the-blockchain.com/2018/06/29/mcafee-labs-report-6x-increase-in-crypto-mining-malware-incidents-in-q1-2018/', headers=headers)
soup = BeautifulSoup(r.text, 'lxml')
container = soup.find('div', class_='td-post-content')
for para in container.find_all('p', recursive=False):
print(para.text)
输出:
Cybersecurity giant McAfee released its McAfee Labs Threat Report: June 2018 on Wednesday, outlining the growth and trends of new malware and cyber threats in Q1 2018. According to the report, coin mining malware saw a 623 percent growth in the first quarter of 2018, infecting 2.9 million machines in that period. McAfee Labs counted 313 publicly disclosed security incidents in the first three months of 2018, a 41 percent increase over the previous quarter. In particular, incidents in the healthcare sector rose 57 percent, with a significant portion involving Bitcoin-based ransomware that healthcare institutions were often compelled to pay.
Chief Scientist at McAfee Raj Samani said, “There were new revelations this quarter concerning complex nation-state cyber-attack campaigns targeting users and enterprise systems worldwide. Bad actors demonstrated a remarkable level of technical agility and innovation in tools and tactics. Criminals continued to adopt cryptocurrency mining to easily monetize their criminal activity.”
Sizeable criminal organizations are responsible for many of the attacks in recent months. In January, malware dubbed Golden Dragon attacked organizations putting together the Pyeongchang Winter Olympics in South Korea, using a malicious word attachment to install a script that would encrypt and send stolen data to an attacker’s command center. The Lazarus cybercrime ring launched a highly sophisticated Bitcoin phishing campaign called HaoBao that targeted global financial organizations, sending an email attachment that would scan for Bitcoin activity, credentials and mining data.
Chief Technology Officer at McAfee Steve Grobman said, “Cybercriminals will gravitate to criminal activity that maximizes their profit. In recent quarters we have seen a shift to ransomware from data-theft, as ransomware is a more efficient crime. With the rise in value of cryptocurrencies, the market forces are driving criminals to crypto-jacking and the theft of cryptocurrency. Cybercrime is a business, and market forces will continue to shape where adversaries focus their efforts.”
答案 1 :(得分:2)
您需要使用selenium,因为我尝试使用requests
来完成它,但是由于javascript
加载了数据并跟随了bs4
,所以它不起作用< / p>
import requests, bs4
from selenium import webdriver
driver = webdriver.Chrome('/usr/local/bin/chromedriver')
website = "https://www.the-blockchain.com/2018/06/29/mcafee-labs-report-6x-increase-in-crypto-mining-malware-incidents-in-q1-2018/"
driver.get(website)
html = driver.page_source
soup = bs4.BeautifulSoup(html, "html.parser")
elements = soup.select('#wpautbox_latest-post > ul > li')
for elem in elements:
print(elem.text)
输出
McAfee Labs Report 6x Increase in Crypto Mining Malware Incidents in Q1 2018 - June 29, 2018
Facebook Updates Policy To Allow Vetted Crypto Businesses to Advertise, ICOs Still Banned - June 27, 2018
Following in Vitalik’s Footsteps? Polkadot’s Habermeier Awarded Thiel Fellowship - June 26, 2018
And many other article titles
答案 2 :(得分:2)
如果您要踢出About the author
以及段落中没有的内容,可以通过在类{{1}中的span
标签下打印p
标签的内容来实现}}。为了简洁起见,在这种情况下,我使用选择器。也尝试以下方法。
td-post-content