ma-nish is an unofficial python wrapper for Whatsapp cloud api

List of public proxies, and checked to some domain like Google, Facebook, Twitter

Convert (animated) stickers to/from WhatsApp, Telegram, Signal, Line, Kakao, Viber, iMessage. Written in Python.

Cross platform status saver/downloader for WhatsApp desktop

WhatsApp desktop application written in Pyqt6 + PyQt6-WebEngine.

WhatsApp CIDR dynamically updated.

A customizable Android and iOS/iPadOS WhatsApp database parser that will give you the history of your WhatsApp conversations in HTML and JSON. Android Backup Crypt12, Crypt14, Crypt15, and new schema supported.

Listen4Me bot converts audio messages into text.

💬 Python wrapper for the WhatsApp Cloud API

Repositorio feito para testes dos endpoints da api de controle de whatsapp (Whatsgw) https://whatsgw.com.br/?gad_source=1&gclid=CjwKCAjwyo60BhBiEiwAHmVLJU90Pz3ISPjQbz5opxrqOVeAaKXVM5LHPyEaVzTflsN1Uzf8iulecRoClP8QAvD_BwE

Auto blesser bot for lazy people

Thoth: Bitrix24 Integration Hub. It enables the installation of an unlimited number of local Bitrix24 applications, the registration of connectors using the REST API, and OAuth 2.0.

whatpack.py is a Python package that allows you to automate WhatsApp and YouTube tasks in an asynchronous and headless way. It uses asyncpywhatkit and headlesspywhatkit libraries under the hood to provide fast and easy-to-use features. With whatpack.py, you can send messages on WhatsApp without opening the app

This application is built in four stages using infrastructure as code with CDK with Python to deploy. In the first stage, an Amazon Aurora PostgreSQL vector database is set up. In the second stage, the Knowledge Base for Amazon Bedrock is created using the established database. The third stage involves creating an Amazon

whatsapp automation library, written in python

Sample headless automation project to scrape bills, calculate monthly bill (rent + utilities) and generate a text message which is later sent to desired whatsapp recipients.

This repository contains the project I developed during the summmer of '22, in which I created a script that takes an exported .txt file from a Whatsapp chat and outputs a PDF that explores lots of interesting information and data about its conversations through graphs and made-up messages.

WPP_Whatsapp aim of exporting functions from WhatsApp Web to the python, which can be used to support the creation of any interaction, such as customer service, media sending, intelligence recognition based on phrases artificial and many other things, use your imagination

Manage WhatsApp .crypt12, .crypt14 and .crypt15 files.

WhatsApp chats as dataframes. Python toolkit to analyse and parse WhatsApp chats.