Scraping Dark Web Data: Tor Hidden Services with Python

Web scraping isn't limited to the surface web. Researchers, journalists, and security analysts often need to collect data from Tor hidden services for threat intelligence and academic research. Setting Up Tor with Python pip install requests[socks] stem beautifulsoup4 sudo apt install tor # Ubuntu/Debian Connecting Through Tor import requests from stem import Signal from stem.control import Controller def get_tor_session (): session = requests . Session () session . proxies = { ' http ' : ' socks5h://127.0.0.1:9050 ' , ' https ' : ' socks5h://127.0.0.1:9050 ' } return session def renew_tor_identity (): with Controller . from_port ( port = 9051 ) as controller : controller . authenticate () controller . signal ( Signal . NEWNYM ) session = get_tor_session () response = session . get ( ' https://check.torproject.org/api/ip ' ) print ( response . json ()) Scraping an Onion Site from bs4 import BeautifulSoup def scrape_onion ( url , session ): try : resp = session . get ( url , timeout = 3