Hi, I'm an Australian physicist/data analyst and I do a lot of web-scraping projects here on freelancer. Your project appears to be a simple scrape of each Twitter page, which is quite straightforward in principle, and won't take very long provided the relevant information is accessible on each page.
Failing that, I also hold a Twitter developer API key which allows me to automate searches of Twitter accounts for details like these. For example, programming a search for UberPokerFacts returns the following easy-to-process data:
"name": "UberPokerFacts ",
"screen_name": "UberPokerFacts",
"location": "Worldwide!",
"description": "The most important things you'll need to know. Not associated with @UberFacts. Not all facts are verified. Parody Account. Submit - THEEMAILWASHERE",
"followers_count": 239584,
"friends_count": 8976,
... plus much more. I can write a short program to automate this searching and populate your results file.
Please contact me to discuss further. My bid reflects what I determine to be a reasonable quantity of searches and/or manual overwriting.