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A dark web link and image scraper

Project description

Black Minimal Business Personal Profile Linkedin Banner

Python Kali Linux Debian TOR

:dart: Usage :

Currently this is only designed to

  • Scrape dark web for onion links
  • Scrape images from dark web

Without tor browser

:sparkles: Unique Features :

  • Instead of using TOR browser, Using tor proxy
  • Randomized IP address for anonymity
  • Spoofing user agent to avoid getting tracked

:wrench: Current Dependencies:

  • Linux [ used debian based distro ]

:gear: Prerequisite :

Enable socks

  • Update package lists
$ sudo apt update
  • Install tor package
$ sudo apt install tor
  • Start Tor service
$ sudo service tor start
  • Verify installation status
$ sudo service tor status

:books: Tutorial :

Install using pip

$ pip install dark-web-scraper

1. Find onion urls from a dark web link

  • Request : find_onion_links( str )
  • Response: links will be saved in result.txt
  • Example :
# Main.py

from dark_web_scraper import find_onion_links
find_onion_links('http://random_url.onion')

2. Scrape images on a dark web link

  • Request : find_images_from_onion_link( str )
  • Response: Images will be saved in /static/images
  • Example :
# Main.py

from dark_web_scraper import find_images_from_onion_link
find_images_from_onion_link('http://random_url.onion')

:rocket: Features to be added :

  • Language Detection
  • Language translation
  • Onion link validator
  • Object detection in images
  • Named entity recognition
  • Search specific keywords in a list of urls
  • Sentiment aAnalysis on the webpage contents

:warning: Disclaimer:

  • I don't promote illegality.
  • This project is just for educational purposes only

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