提取两个不同标签之间的文字美丽的汤

Question

我正在尝试从此网页中提取文章的文本内容。

我只是想提取文章内容而不是“关于作者部分”。

问题是所有内容都不在像<div>这样的标签内。 因此我无法提取它们，因为它们都在<p>标签内。 当我提取所有<p>标签时，我也会得到“关于作者”部分。 我必须从这个网站上抓很多页面。 有没有办法用美丽的汤做到这一点？

我正在尝试：

p_tags=soup.find_all('p')
for row in p_tags:
    print(row)

Answer 1

您想要的所有段落都位于<div class="td-post-content">标记内，以及作者信息的段落。 但是，必需的<p>标记是此<div>标记的直接子标记，而另一个不需要的<p>标记不是直接子标记（它们嵌套在其他div标记内）。

因此，您可以使用recursive=False仅访问这些标记。

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.”

Answer 2

你需要使用selenium ，因为我尝试用requests做它并且它不起作用因为数据是用javascript加载的并且跟随bs4

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)

产量

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

Answer 3

如果你想推出About the author以及不在段落内的东西，你可以通过在类td-post-content p标签下打印span标签td-post-content 。 为了简明起见，我在这种情况下使用了选择器。 尝试以下方法。

import requests
from bs4 import BeautifulSoup

url = 'https://www.the-blockchain.com/2018/06/29/mcafee-labs-report-6x-increase-in-crypto-mining-malware-incidents-in-q1-2018/'

res = requests.get(url,headers={"User-Agent":"defined"})
soup = BeautifulSoup(res.text, 'lxml')
paragraph = [p.text for p in soup.select('.td-post-content p span')]
print(paragraph)