You bring
A public Instagram handle and a signed-in Instagram account in Chrome.
You make
A folder of a public profile’s photos and videos at full size, with a spreadsheet of each post’s likes, comments and engagement and a summary of what gets most likes.
You check
Open posts.csv and summary.txt, and spot-check that the saved files match the posts.
About
Studying an account by scrolling it on your phone leaves you with screenshots and guesses, and nothing you can sort. Name a public Instagram profile and you get its posts as files, with the numbers beside them.
It opens the profile in Chrome as your own signed-in account and scrolls it slowly, the way a person would. Each post's photos and videos are saved at full size, carousel slides included, into a project folder. Next to them sits a spreadsheet with one row per post: date, link, type, likes, comments, views where the profile shows them, engagement against the follower count, and the caption. A short summary compares reels, carousels and photos and lists the ten posts with the most likes.