ClickbaitFighter / download_url.py
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import requests
from bs4 import BeautifulSoup
def download_text_and_title(url):
try:
# Remove the query string from the URL
url = url.strip()
url = url.split("?")[0]
# Remove emojis and other special characters
url = url.encode("ascii", "ignore").decode("ascii")
# Send a GET request to the URL
headers = {
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) "
"AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/50.0.2661.102 Safari/537.36"
}
response = requests.get(url, headers=headers, allow_redirects=True)
# While response is a redirect, follow it
soup = BeautifulSoup(response.text, "html.parser")
title = soup.title.string if soup.title else "No Title Found"
while title.startswith("http:/") or title.startswith("https:/"):
url = title
response = requests.get(url, headers=headers, allow_redirects=True)
soup = BeautifulSoup(response.text, "html.parser")
title = soup.title.string if soup.title else "No Title Found"
# Check if the request was successful
if response.status_code == 200:
# Parse the HTML content using BeautifulSoup
soup = BeautifulSoup(response.text, "html.parser")
# Extract the title
title = soup.title.string if soup.title else "No Title Found"
# Extract all the text from the webpage
text = [p.get_text() for p in soup.find_all("p")]
text = [
p.replace("\n", " ").replace("\r", " ").replace("\t", " ") for p in text
]
text = [" ".join(p.strip().split()) for p in text]
text = [p for p in text if len(p) > 0 and len(p.split()) > 5]
# Clean text
text = "\n".join(text)
title = title.replace("\n", " ").replace("\r", " ").replace("\t", " ")
title = " ".join(title.strip().split())
return title, text, url
else:
print("Failed to retrieve the web page. Status code:", response.status_code)
print("URL:", url)
return None, None, None
except Exception as e:
print("An error occurred:", str(e))
print("URL:", url)
return None, None, None
# Example usage
if __name__ == "__main__":
url = "https://www.huffingtonpost.es/sociedad/esta-palabra-mas-prescindible-espanol-cambia-entiende.html" # Replace with the URL you want to scrape
title, text = download_text_and_title(url)
if title and text:
print("Title:", title)
print("Text:", text)
else:
print("Unable to retrieve text and title.")