email-extraction

There are 9 repositories under email-extraction topic.

  • clauneck

    serpapi/clauneck

    A tool for scraping emails, social media accounts, and much more information from websites using Google Search Results.

    Language:Ruby1846113

  • kevincobain2000/email_extractor

    Yes it works! God Speed. Email Extractor by Full Url Crawl. Extract emails and web urls from a website with full crawl or option limit, depth of urls to crawl using terminal.

    Language:Go878741

  • 0x4D-5A/e-scraper

    Python script to extract unique email addresses from a list of domains using regular expression.

    Language:Python14139

  • Pythoript/email-scraper

    Scrape emails from a website using recursive crawling, the best anti-obfuscation techniques, and validate all addresses before saving to a file.

    Language:Go22

  • arslanr369/Email-Extractor-GUI

    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.

    Language:Python1100

  • dabbu-knowledge-platform/intel-api-server

    An implementation of the Dabbu Intel API that helps in extraction of and one pagers/summaries of all knowledge around a certain topic, person or place based on information/data from multiple providers

    Language:TypeScript1150

  • Panos-IT/Email-Scraper

    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.

    Language:Python1201

  • MarkTauber/mail_extractor

    извлечение почтовых адресов из текста (файла, папок с файлами)

    Language:Python00

  • Mitali-Juvekar/Email-Processor

    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.

    Language:Python0100