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TechnologiesSee what the GitHub community is most excited about today. A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel. Author and maintainer: https://github.com/katursis
Recent posts
Tag: #bot · 3 posts
Posted Sep 1
#python#bot#python#tiktok#tiktok_api#tiktok_bot#tiktok_python#tiktok_views#tiktokbot#views#zefoy You can learn how to build the Zefoy bot yourself through a new course that shares 5+ years of reverse engineering knowledge, so you don’t have to rely on frequent fixes. The updated bot script now includes an automatic captcha solver, making it easier to run without interruptions. It’s fast, lightweight, works with TikTok’s API for dynamic view counts, and can be used on mobile devices. To use it, you just need Python and a few packages installed, then run the provided Python file. This gives you control and efficiency in automating TikTok views and interactions. https://github.com/xtekky/TikTok-ViewBot
Posted Aug 1
#typescript#ai_bot#bot#http_api#python_bot#whatsapp#whatsapp_api#whatsapp_automation#whatsapp_bot#whatsapp_chat#whatsapp_web#whatsapp_web_api You can quickly set up WAHA, a WhatsApp HTTP API, on your own server using Docker in just a few minutes. It lets you send and receive WhatsApp messages (text, images, videos, voice) through simple HTTP requests, automating WhatsApp communication without limits on message volume or time. You start by running the API, creating a session by scanning a QR code with your phone, and then sending messages via API calls. This gives you full control, privacy, and flexibility to integrate WhatsApp messaging into your apps or services easily, without relying on third-party SaaS platforms[1]. https://github.com/devlikeapro/waha
Posted Jun 30
#go#bot#go#golang#golang_whatsapp#golang_whatsapp_api#rest#rest_api#whatsapp#whatsapp_api#whatsapp_api_go#whatsapp_multi_device#whatsapp_web_multi_device You can use the WhatsApp API Multi Device Version to send and receive WhatsApp messages through a web-based API or as an MCP server, which allows AI tools to interact with WhatsApp. It supports multiple device types and architectures, lets you send texts, images, videos, contacts, and locations, and includes features like auto-reply, message reactions, and group management. You can run it via Docker or build your own binary, and configure it easily with command-line flags or environment variables. This tool helps automate and scale WhatsApp communication, making it ideal for businesses or developers who want to integrate WhatsApp messaging into their apps or AI systems efficiently. https://github.com/aldinokemal/go-whatsapp-web-multidevice