I'm trying to complete a data scraper assignment. It all works except for this last part in which I need to print the descriptions of cybersecruity vulnerabilities reported to a website based on user search criteria.
for index in range(2):
response = requests.get(url_values[index])
content = response.content
soup = BeautifulSoup(content,"lxml")
#find the table content
for header in soup.find_all("h3", string = "Description"):
text = find_next.("p")
print (text)
This is what the HTML looks like in the area I'm trying to get information from:
...<section class="content-band">
<div class="content">
<h3>Risk</h3>
<div><p>Low</p></div>
<h3>Date Discovered</h3>
<p>February 12, 2019</p>
<h3>Description</h3>
<p>Microsoft Windows is prone to a local information-disclosure
vulnerability.
Local attackers can exploit this issue to obtain sensitive
information that may lead to further attacks.</p>
<h3>Technologies Affected</h3>...
I want the content (which is in a p element) of the "Description" header (which is an h3 element). I've tried "find_next_sibling" similarly and can't seem to get it working.
Any advice is appreciated.
You can get the text from the h3
sibling element like this:
print(soup.find("h3", string="Description").find_next_sibling().text)