email-parsing
There are 8 repositories under email-parsing topic.
- MailTrackerBlocker
apparition47 / MailTrackerBlocker
Email tracker, read receipt and spy pixel blocker plugin for macOS Mail (10.11-13.x)
Language:Objective-C 1125 - awesome-opensource-email
Mindbaz / awesome-opensource-email
Awesome Opensource Email Resources
cyberdefenders / email-header-analyzer
E-Mail Header Analyzer
Language:HTML 692- Language:C# 526
patternhelloworld / url-knife
Extract and decompose (fuzzy) URLs (including emails, which are conceptually a part of URLs) in texts with Area-Pattern-based modularity
Language:TypeScript 355- Language:C++ 290
- Language:Go 214
smashsend / email-spell-checker
📮 An ultratiny (1.9 KB) and fast JavaScript email checker to reduce users typing a wrong email. Written in TypeScript. Enterprise-grade.
Language:TypeScript 193superryeti / Email-Crawler-Lead-Generator
This email crawler will visit all pages of a provided website and parse and save emails found to a csv file.
Language:Python 162jawah / kiss-headers
Python package for HTTP/1.1 style headers. Parse headers to objects. Most advanced available structure for http headers.
Language:Python 117- Language:Python 106
- MIMEText
muratgozel / MIMEText
RFC-5322 compliant, fully typed and documented email message generator for javascript runtimes.
Language:TypeScript 106 - removedupes
eyalroz / removedupes
Remove Duplicate Messages
Language:JavaScript 104 - Language:Python 95
amieiro / disposable-email-domains
Disposable email domain lists, used in disposable email services, generated every quarter of an hour, in txt and JSON format.
Language:PHP 87- Language:Go 86
mynameisvinn / EmailParser
remove signature blocks from emails
Language:Python 86sisimai / rb-sisimai
Mail Analyzing Interface for email bounce: A Ruby library to parse RFC5322 bounce mails and generating structured data as JSON from parsed results. Ruby version of Sisimai: an error mail analyzer.
Language:Ruby 86- mail2mostLanguage:Go 85
HandyGuySoftware / dupReport
Email summary reporting tool for use with Duplicati backup system
Language:Python 80- p5-sisimai
Mail Analyzing Interface for email bounce: A Perl module to parse RFC5322 bounce mails and generating structured data as JSON from parsed results. Formerly known as bounceHammer 4: an error mail analyzer.
Language:Perl 80 alfonsrv / mail-parser-reply
📧 Mail reply parser library for Python with multi-language support
Language:Python 67namecheap / fast_mail_parser
Very fast Python library for .eml files parsing
Language:Rust 64- MailTrackerBlockerApp
Email tracker, read receipt and spy pixel blocking macOS Mail extension
TufayelLUS / LinkedIn-Email-Scraper
A python script that can scrape LinkedIn profiles for emails. Developed by Tufayel_LUS
Language:Python 50JohannesBuchner / flight-reservation-emails
Searches your emails for flight tickets & displays a summary with all flight details
Language:Perl 41- Language:PHP 20
JavierCanon / Markemail
📧 🎯💌 Email Marketing Client and Server, inspired in Microsoft Outlook made in ASP.NET and WPF
Language:C# 18mikedilger / email-format
Email data structure and builder for streaming emails
Language:Rust 18- Language:Python 17
Aayushpatel007 / topicrankpy
A Python package to get useful information from documents using TopicRank Algorithm.
Language:Python 16TomasHubelbauer / vscode-email-viewer
Preview email message files (EML) in VS Code
Language:TypeScript 16- escraper
bauripalash / escraper
Scrap Email Addresses From PDFs and Photos! in C++ (Python was tooo easy to do)
Language:C++ 13 FreeDiscovery / jwzthreading
Implementation of the JWZ threading algorithm for e-mail or newsgroup messages.
Language:Python 13samay825 / InSta-Reseter
This tool named "InSta-Reseter" is mainly use to reset the Instagram Account Secure Accounts , All working apis are present in the script , If you do any illegal activites through this script we are not responsible
Language:Python 13Mike-Schmidt-Avemac / ai-email-insights
Code created for blog series on unsupervised feature/topic extraction from corporate email content. An implementation for cleaning raw email content, data analysis, unsupervised topic clustering for sentiment/alignment and ultimately several deep-learning models for classification. Details at www.avemacconsulting.com.
Language:Python 10
