Facebook has a feature that allows users to download a copy of their data as a zip archive containing htm files with their data. The aim of this parser is to take this archive and to extract a user's Facebook Messages from it; to transfer them into a more useful format, as well as performing some analysis to produce interesting data.
I have added basic CSV support.
The Facebook Export can be downloaded from the Facebook Settings menu.
Run "python fb_parser.py" with the 'messages.htm' file in the same directory to export to JSON as proof of concept.
The code is written in Python 3+. The parser uses BeautifulSoup to do the bulk of the capture from the htm file.
Anaconda Python for scientific computing is a simple and easy way to install all the dependencies for the code, alongside many other useful libraries. It can be downloaded here.