WebExtractor

WebExtractor is a powerful OSINT and ethical hacking tool developed in Python. It is used to extract email addresses, phone numbers, and links (including visible, hidden, and social media links) from a target website. Designed for cybersecurity professionals, bug bounty hunters, and ethical hackers, it helps gather critical intelligence from web pages.

The extracted links can also assist in identifying potential vulnerabilities in the website, such as SQL injection (SQLi) points, open directories, exposed admin panels, or unvalidated input fields. These links serve as entry points for further vulnerability assessments and exploitation attempts during ethical hacking or penetration testing.

Features

• Extracts:

  • Emails
  • Phone Numbers
  • All Links (including visible, hidden, and social media links)

• Saves the extracted information for further analysis.

• Clean and organized output

• Works on Linux and Termux

• Simple CLI interface

• Lightweight and fast

Compatibility

• Linux (Debian, RHEL, Arch, etc.)
• Termux (Android)

The tool automatically detects the environment and installs itself accordingly.

Disclaimer

This tool is intended for educational and ethical OSINT purposes only. Use it only on websites you own or have explicit permission to analyze. The developer is not responsible for any misuse of this tool.

Installation

Step 1: Clone the Repository

git clone https://github.com/s-r-e-e-r-a-j/WebExtractor.git

step2: Navigate to the WebExtractor directory

cd WebExtractor

Step 3: Install Dependencies

pip3 install -r requirements.txt

Note for Kali, Parrot, Ubuntu 23.04+ users:

If you see an error like:

error: externally-managed-environment

then use:

pip3 install -r requirements.txt --break-system-packages

Step 4: Run Installer (Linux or Termux)

python3 install.py

Then type y for install

Step 5: Run the Tool

webextractor

Usage

Just run the tool:

webextractor

1. Provide a valid URL when prompted.

2. Choose whether to extract email addresses, phone numbers, links (including visible, hidden, and social media links), or all three

3. It will display the extracted emails, phone numbers, and links (including visible, hidden, and social media links) in a clean format.

4. Optionally save the extracted data to a folder.

Uninstallation

Run the install.py script

python3 install.py

Then type n for uninstall

License

This project is licensed under the MIT License