A problem validated by 3 surveys in 3 countries with 300 respondents

Hi, indiehackers. A new idea to roast.

The idea is to get user profile statistics on Facebook. This functionality is much in demand according to our three surveys conducted in Slovenia, Sweden and Poland (3 focus-groups with 100 people in each). Most wanted are these statistics: my friends who react to my posts (from most to least), my friends who comment on my posts (from most to least), my friends who re-post my posts (from most to least), my friends who are engaged (react, comment and re-post) in my posts (from most to least), last date my friend was engaged in my content (list from most recent to oldest), my friends who completely ignore my posts, mass unfriending. People are ready to pay for that, cause many of them want to have quality audience, not just big one.
Long time ago there were apps that used FB APIs to retrieve some other statistics, but now they all rest in peace (FB closed APIs). But... There is another solution for that - parsing or scraping.
You know that there are many parser (scraper) extensions on Chrome and other browsers. My idea is a specialized parser for the user's FB profile which will with one click look through all his/her posts for the last 12 or 60 months and scrape all that statistics and export it in a xls file with filtering and sorting capabilities. Also the robot can mass unfriend those who completely ignore the user's content. By the way, mass unfriending of ignoring friends is the most wanted functionality according to results of our surveys.
The same statistics is pretty valuable for Instagram, Twitter and LinkedIn users.

I am not a tech person, but having consulted with some developers I know that it is technically feasible. I am now seeking an experienced extension builder as a 50/50 co-founder to make such an extension on Chrome and later on other browsers. Marketing and growth is on my side.