import requests
from bs4 import BeautifulSoup

# Make a request to the homepage of Marfoogle News
url = 'https://marfooglenews.com/'
response = requests.get(url)

# Parse the HTML content of the page using Beautiful Soup
soup = BeautifulSoup(response.content, 'html.parser')

# Find the latest post on the homepage
latest_post = soup.find('div', {'class': 'td_module_10 td_module_wrap td-animation-stack'})

# Extract the link to the daily page from the post
daily_page_link = latest_post.find('a', {'class': 'td-image-wrap'})['href']

# Make a request to the daily page and parse the HTML content using Beautiful Soup
daily_page_response = requests.get(daily_page_link)
daily_page_soup = BeautifulSoup(daily_page_response.content, 'html.parser')

# Find all the news articles on the daily page and extract their links
news_articles = daily_page_soup.find_all('a', {'class': 'td-image-wrap'})
news_links = [article['href'] for article in news_articles if "affiliate link" not in article.get_text().lower()]

print(news_links)

pip install beautifulsoup4

import requests
from bs4 import BeautifulSoup

# Make a request to the homepage of Marfoogle News
url = 'https://marfooglenews.com/'
response = requests.get(url)

# Parse the HTML content of the page using Beautiful Soup
soup = BeautifulSoup(response.content, 'html.parser')

# Find the latest post on the homepage
latest_post = soup.find('div', {'class': 'td_module_10 td_module_wrap td-animation-stack'})

# Extract the link to the news article from the post
news_link = latest_post.find('a', {'class': 'td-image-wrap'})['href']

print(news_link)