I Built an Instagram Bot Cleaner in Python Here's the Architecture

https://github.com/Saqlvation/instapurge https://www.youtube.com/watch?v=5vW7f2HbNiA TL;DR I built InstaPurge, a Python-based Instagram bot cleaner that identifies and removes fake followers, inactive accounts, and bot-driven interactions from your Instagram profile. This post breaks down the full architecture, design decisions, and lessons learned. The Problem Instagram is flooded with bots. Over time, your follower count becomes a vanity metric — inflated by fake accounts, engagement pods, and inactive users. Worse, these bots can drag down your engagement rate, which the algorithm uses to decide how widely to distribute your content. I wanted a tool that could: Detect bot accounts and inactive followers Analyze engagement patterns to find low-quality connections Clean them out safely, without triggering Instagram's rate limits or anti-automation systems Log everything so you know exactly what was removed and why High-Level Architecture plain ┌───────────??