Most social media reporting workflows start the same way:

Someone opens a few competitor profiles, checks recent posts, copies links into a spreadsheet, guesses which Reels performed best, and turns everything into a weekly report.

That works once.

It becomes painful when you want to do it every week.

So I built a small open-source Python starter that turns public Instagram-style data into repeatable competitor intelligence reports.

The project is here:

https://github.com/prodkit-labs/instagram-competitor-intelligence

It is intentionally not an Instagram bot, not a login automation tool, and not an API wrapper.

It is a reporting workflow.

The goal is simple:

Take public profile and media data, rank what performed well, extract useful patterns, and generate a weekly competitor report.

What the project does

The current version can help you:

compare public competitor accounts

rank recent posts and Reels by engagement

extract hashtag trends from captions

detect creator, influencer, and brand…