Archive | July, 2012
How to Harvest Facebook updates with Python, MySQL or SQL Server
Data Party! Most people focus on search.twitter.com (or automated pulls from their API) for data collection regarding the “pulse” on a particular topic or brand – they often overlook the fact that the public Facebook timeline can be a useful source of data as well. I’ll show you how to harvest it and store it in a database of your choosing for later analysis.