[英]Python scraping (Beautiful Soup) to obtain data from this HTML
<ul>
<li>
<div class="c_logo_box">
<a href="money-transfer-companies/ria-money-transfer/"><img src="http://www.compareremit.com/uploads/ria-logo11.png" style="height:57px;width:147px;" alt="RIA Money Transfer"></a>
<span class="rs"> <span class="txt13">₹</span> 61.24</span>
</div>
</li>
...
I wish to scrap the name from 'alt = Ria Money Transfer' and rate from span 61.24. 我希望废除“alt = Ria Money Transfer”中的名称 ,并从61.24开始评分 。
So far I have this Python code: 到目前为止,我有这个Python代码:
#!/usr/bin/python
import requests
import re
from bs4 import BeautifulSoup
r = requests.get('http://www.compareremit.com')
data = r.text
soup = BeautifulSoup(data)
for rate in soup.find_all('li', re.compile('money')):
print rate.text
It gives me nothing. 它什么都没给我。 Could someone tell me what am I missing?
有人能告诉我我错过了什么吗? Also, I'm having trouble visualizing which element I'm support to look for in the for loop search, could you clarify in general how to know what to specify as a condition in for loop in such cases?
另外,我在查看for循环搜索中我支持哪个元素时遇到问题,你能否澄清一下在这种情况下如何知道在for循环中指定什么条件?
There are multiple ways to reach the element. 有多种方法可以达到元素。 One option is to rely on the
a
tag, href
of which contains the ria-money-transfer
part, then get the following span
element containing the rate: 一种选择是依赖
a
标签,其中href
包含ria-money-transfer
部分,然后获得包含该速率的以下span
元素 :
import re
from bs4 import BeautifulSoup
import requests
response = requests.get('http://www.compareremit.com')
soup = BeautifulSoup(response.content)
link = soup.find('div', class_='c_logo_box').find('a', href=re.compile(r'ria-money-transfer'))
print(link.img.get('alt'))
rate = link.find_next_sibling('span').text.split(' ')[-1]
print(rate)
Prints: 打印:
RIA Money Transfer
61.24
Your code is logically not correct. 您的代码逻辑上不正确。 You can do this in multiple ways, try this code
您可以通过多种方式执行此操作,请尝试此代码
#!/usr/bin/python #!的/ usr / bin中/蟒蛇
import requests
import re
from bs4 import BeautifulSoup
r = requests.get('http://www.compareremit.com')
data = r.text
soup = BeautifulSoup(data)
for rate in soup.find_all('div',{"class":"c_logo_box"}):
print rate.a.img['alt']
print rate.span.text
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