Write script that can scrape budget/nb of employees from wikipedia pages

The goal of this project is to deliver a python script that can scrape wikipedia pages (input is a csv with links to wikipedia pages to scrape). >>>>>Business requirements The script should scrape the following information (if exists), if the page is not in english, the information should still be scraped >>Mandatory requirements<< - Location or headquarters - budget/revenue - Number of employees >>Optional requirements<< - Number of volunteers - Staff - Subsidaries - Products - Services - Official Language - Director general - Board of directors - Parent organization - Affiliation - All the info in the infobox >>>>>Technical requirements >>Mandatory Technical requirements<< - The script should be written in python - Last step of the scripts, should be pandas dataframe(s) dropping the data to csvs. - Outputs must always have the same numbers of columns (columns migbt be empty) - The script should allow for stopping and restart from lastest completed scrape (via table of content for example). - The script should allow for the usage of proxies - Script should be commented - No selenium >>Important technical requirements<< - Script should used some "stealth" techniques (sleep, user-agent switches, …) - Api scraping is preferred >>Nice to have technical requirements<< - Possibility to do parallel sraping with different proxies >>>>>Deliverables - 1(or more) Python scripts - Csvs containing the data for the scripts scrapped (for verification)