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GitIntel is a robust GitHub OSINT tool crafted to reveal concealed insights from GitHub repositories and user profiles. Its capabilities make it an invaluable resource for ethical hacking, security assessments, and intelligence gathering in the realm of software development.
A Python script for extracting email addresses from web pages. Utilizing web scraping techniques, this tool efficiently scans specified URLs, identifies email addresses embedded within HTML code, and compiles them for various purposes such as contact lists or market research.
simple and efficient tool for extracting email addresses from any text input. This application, built with Python and Tkinter, allows users to enter a block of text, extract email addresses, and copy them directly to the clipboard for easy access.
A Python-based web scraping tool to extract email addresses from Australian agricultural business websites for lead generation and business outreach purposes.
Small project that trains and serves a multi-label classifier for text (emails). Includes utilities to extract emails, auto label data, Supabase upload, and serve predictions via a FastAPI server.
The AI Research Agent is a powerful local web application designed to help businesses and researchers extract valuable information from websites. It crawls websites deeply, extracts emails and phone numbers, scrapes LinkedIn profiles, and enriches company data using third-party APIs like Hunter.io.
Automated system that processes shipping-related emails using LLM, extracts key information (addresses, dates, pricing), and displays it in a searchable dashboard. Built with FastAPI, PostgreSQL, Redis and Kafka.
AquaScout is an advanced Python CLI tool for deep web crawling. It efficiently extracts emails and URLs from websites with configurable depth, saving discovered data for analysis. Ideal for data collection and intelligence tasks.
Automated extraction of emails from web pages and Google search results, saving data to SQLite and exportable CSV/TXT. A robust Python CLI tool for efficient data harvesting and management.
This repository contains a Python script that converts `.eml` email files into structured `.docx` documents. It uses BeautifulSoup for HTML parsing and python-docx for document creation, making email data easy to read and access. 🐱💻📧