As titles says everything i also looked over some stackoverflow same question but i was not able to find the solution Here is my codes
r = requests.get("http://cpaleaks.com", headers={'User-agent': 'Mozilla/5.0 (X11; Ubuntu;
Linux x86_64; rv:61.0) Gecko/20100101 Firefox/61.0'})
c = r.content
soup = BeautifulSoup(c,"html.parser")
all = soup.find_all("div",{"id":"content"})
all[0].find_all("h2")[0].text
for item in all:
print(item.find_all("h2")[0].text)
Output
6 Untapped Traffic Sources in 2019 That Convert With ANY Niche
Expected Output
Must be all titles of website
find_all("div",{"id":"content"})
will give you a result set in your case of one <div>
and its inner element tree, so you iterat only one time and print this one time only the text of first <h2>
print(item.find_all("h2")[0].text)
Iterate over first element in result set while find_all('h2')
:
for item in all[0].find_all("h2")
print(item.text)
or in my opinion more specific and cleaner solution, iterate over the selection of all <h2>
in the element (div) with id content:
for item in soup.select('#content h2'):
print(item.text.strip())
import requests
from bs4 import BeautifulSoup
import pandas as pd
r = requests.get("http://cpaleaks.com", headers={'User-agent': 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:61.0) Gecko/20100101 Firefox/61.0'})
c = r.content
soup = BeautifulSoup(c,"html.parser")
for item in soup.select('#content h2'):
print(item.text.strip())
6 Untapped Traffic Sources in 2019 That Convert With ANY Niche
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I am not sure how beautifulsoup works but maybe try using this code instead of the for you have at the end.
for h2 in all[0].find_all("h2")
print(h2.text)
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