Uscrapper is an OSINT tool built on python that allows users to extract various personal information from a website. It leverages web scraping techniques and regular expressions to extract email addresses social media links author names geolocations phone numbers and usernames from both hyperlinked and non-hyperlinked sources on the webpage. The tool also provides an option to generate a report containing the extracted details.
Uscrapper extracts the following details from the provided website:
- Email Addresses: Displays email addresses found on the website.
- Social Media Links: Displays links to various social media platforms found on the website.
- Author Names: Displays the names of authors associated with the website.
- Geolocations: Displays geolocation information associated with the website.
- Non-Hyperlinked Details: Displays non-hyperlinked details found on the website including email addresses phone numbers and usernames.
git clone https://github.com/z0m31en7/Uscrapper.git
cd Uscrapper/install/
chmod +x ./install.sh && ./install.sh #For Unix/Linux systems
For Windows systems run:
Uscrapper/install/install.bat
To run Uscrapper, use the following command-line syntax:
python Uscrapper.py [-h] [-u URL] [-O] [-ns]
Arguments:
- -h, --help: Show the help message and exit.
- -u URL, --url URL: Specify the URL of the website to extract details from.
- -O, --generate-report: Generate a report file containing the extracted details.
- -ns, --nonstrict: Display non-strict usernames during extraction.
-
Uscrapper relies on web scraping techniques to extract information from websites. Make sure to use it responsibly and in compliance with the website's terms of service and applicable laws.
-
The accuracy and completeness of the extracted details depend on the structure and content of the website being analyzed.
-
Some websites may have anti-scraping measures in place, which could affect the extraction process or lead to inaccurate results.
Want a new feature to be added?
- Make a pull request with all the necessary details and it will be merged after a review.
- You can contribute by making the regular expressions more efficient and accurate, or by suggesting some more features that can be added.
This project is licensed under the MIT-LICENSE