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How I wrote a cross-poster from Telegram to VK and MAX in Python: UTF-16 parsing, API bypassing, and SQLite queue

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How I wrote a cross-poster from Telegram to VK and MAX in Python: UTF-16 parsing, API bypassing, and SQLite queue

The author shares their experience in developing a custom tool for content automation. Faced with the need to duplicate posts from a Telegram channel to a VK community and the MAX platform, the developer decided to automate the process to avoid manual copying. The solution is implemented in Python using the httpx library for network requests and SQLite for message queuing. The tool utilizes long polling to monitor new Telegram posts. The article details technical implementation aspects, including UTF-16 data parsing, bypassing API limitations of various platforms, and organizing a reliable task queue. This project serves as an effective alternative to paid auto-posting services that are either too expensive or lack support for specific platforms. The author highlights that building a custom solution allowed for flexible configuration of the publishing process tailored to the specific needs of their project.

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