Instagram Tracker - Instagram Tracker – Advanced Instagram Scraper

I built Instagram Tracker because scraping Instagram reliably has become a real headache. Every few months the platform changes its structure, blocks endpoints, or tightens rate limits. Existing tools either break, require constant fixes, or don’t give you the full picture — especially if you need reels, posts, stories, and raw insights in one place. I wanted something that just works. A tool that can log in, stay logged in, rotate between API fallback methods, handle blocks, and still deliver clean, structured data. Instead of relying on a single fragile endpoint, I designed the tracker to layer multiple strategies: session restoration, GraphQL fallbacks, internal API calls, and smart detection of DNS/ISP blocking with proxy recovery. Over time this evolved into a much more resilient system than I initially planned. The real goal was to solve a practical problem I kept seeing: creators, marketers, and analysts were spending hours manually collecting engagement metrics, video URLs, profile stats, or reel performance. Automation existed, but reliability was missing. This launch is the result of many iterations — testing what Instagram breaks next, adjusting the flow, improving login handling, and building a filter system so users can extract only the fields they actually care about. The process started as a simple scraper but evolved into a flexible, fault-tolerant crawler that adapts to how Instagram behaves today. In short: I built this to save time, reduce frustration, and provide a dependable way to gather Instagram data at scale.