Similar to my extract of Comet Ping Pong tweet data ( https://voat.co/v/pizzagate/1550881) ), I ran the same data extraction process on the Clinton Foundation's ( @clintonfdn ) tweets...

Here is a tab-delimited extract of all the tweets (choose the raw option -- pastebin doesn't show the tabs otherwise) http://pastebin.com/kgNgG2Q9

Here are all the links I could extract from their tweets: http://pastebin.com/p9u7fRuy

Here's a list of top mentions by the account (listed with frequency of occurrence): http://pastebin.com/cPCQcsa3

Here's a list of the top tags by the account (listed with frequency of occurrence): http://pastebin.com/xUPQazU7

Here's a list of "names"/phrases mentioned in the tweets (simply extracted by a regular expression looking for a sequence of capitalized words): http://pastebin.com/FUPA7Ncg

I had to do some post-processing on the text since I extracted the tweets manually (by scrolling until all were in view and then text copying them). I removed all emojis and non standard characters since I was focused on the text.