This example uses the comedy preference data from the UC Irvine Machine Learning Data Repository:
http://archive.ics.uci.edu/ml/datasets/YouTube+Comedy+Slam+Preference+Data
which it parses using the Python csv library:
http://docs.python.org/2/library/csv.html
It then fetches the data using Google's YouTube API python library:
https://developers.google.com/youtube/1.0/developers_guide_python
And stores the data in a sqlite3 database (simpler for the moment than using MySQL).