import requests
import re
from datetime import datetime
from urllib.parse import urlparse
def is_2023_file(url):
# Check Last-Modified header
resp = requests.head(url)
last_mod = resp.headers.get('Last-Modified')
if last_mod:
return '2023' in last_mod
# Fallback: search for '2023' in first 1KB
return False
def better_yahoo_extractor(file_url):
if not is_2023_file(file_url):
return []
resp = requests.get(file_url)
lines = resp.text.splitlines()
yahoo_only = []
for line in lines:
if 'gmail.com' in line or 'hotmail.com' in line:
continue
matches = re.findall(r'[\w.-]+@yahoo.com', line)
yahoo_only.extend(matches)
return list(set(yahoo_only)) # deduplicate yahoo.com -gmail.com -hotmail.com Txt 2023 %5BBETTER%5D
An investigator collecting Yahoo email addresses from public text dumps (leaked databases, scraped lists) wants to eliminate Gmail/Hotmail entries to reduce dataset size. The [BETTER] tag might indicate a cleaned or validated subset. import requests import re from datetime import datetime
Data decays rapidly. By specifying 2023, you filter: yahoo.com -gmail.com -hotmail.com Txt 2023 %5BBETTER%5D