Netvizz is a free, web-based tool for extracting datasets from Facebook. As the tool utilizes Facebook Apps, users must have a Facebook account to access it.

NetvizzToSentiStrength is a free, web-based sentiment analysis tool for short texts, designed to work particularly with a Netvizz search of Facebook data. In addition to Netvizz data, it also accepts DMI-TCAT and CSV files. 

NodeXL is a free, open source tool for generating and exploring network graphs from Microsoft Excel files. It is particularly suited to data from social media sources, and includes the ability to directly import data from Twitter, YouTube, Flickr and email, with additional plugins available for gathering data from Facebook, Microsoft Exchange, wikis and URLs. The tool generates visualizations that can be adjusted, zoomed and filtered, with additional features for vertex grouping, graphing metric calculations, and automating tasks. NodeXL can both import and export data in GraphML, Pajek, UCINet and matrix formats.

STACK is an extensible social media research toolkit designed to collect, process, and store data from online social networks. The toolkit is an ongoing project via the Syracuse University iSchool, and currently supports the Twitter Streaming API. Collecting from Facebook public pages and Twitter search API are under development. The toolkit architecture is modular and supports extending. Basic Linux / Mac command line skills needed.

To learn more: https://github.com/bitslabsyr/stack