Tools for Analysing Tumblr?
Hi everyone, I'm looking at doing a project that analyses posts on Tumblr. Unfortunately, however, the tools available through the Tumblr website aren't particularly useful for analysing large amounts of posts. Does anyone know of any third-party applications that may be useful for exploring Tumblr's tags and posts? Thanks, Steph.
GNIP serves the data feed, but I am not sure if anyone has built a connector to it. We have talked about doing it, but we are unsure what kind of demand there is for Tumblr data. According to GNIP folks, you could build a whole business around the stream. It would take us 2-3 weeks to launch a tool for doing the collection via API queries, but we would only get the text. If folks would like, I can talk to Dr. Skippy, the chief scientist at GNIP, about getting some samples to play with into a public archive. The question is, samples of what? Please write to me directly if you are interested in text data from Tumblr. On Mon, Oct 1, 2012 at 6:00 AM, Stephanie Betz <stephanie.betz@gmail.com>wrote:
Hi everyone,
I'm looking at doing a project that analyses posts on Tumblr. Unfortunately, however, the tools available through the Tumblr website aren't particularly useful for analysing large amounts of posts.
Does anyone know of any third-party applications that may be useful for exploring Tumblr's tags and posts?
Thanks,
Steph.
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-- Dr. Stuart W. Shulmanhttp://people.umass.edu/stu Founder and CEO, Texifterhttp://texifter.com LinkedIn: http://www.linkedin.com/pub/stuart-shulman/10/351/899 Twitter: http://twitter.com/#!/StuartWShulman Director, QDAP-UMasshttp://www.umass.edu/qdap Editor Emeritus, JITPwww.jitp.net
Hey Stephanie, I'm working on a Tumblr project at the moment as well. Seems like there are no good tools out there really. What I've been doing is writing my own Pyton scripts to scrape data from the Tumblr API and throwing them into a database for further analysis. Tumblr's API is pretty good -- the one major limitation is that it only delivers the most recent 50 notes per post. You can probably scrape the notes by parsing HTML, but you need a dynamic Javascript package as the notes (in sets of 50) are hidden behind Javascript on each page. Alex --- Alexander Leavitt PhD Student USC Annenberg School for Communication & Journalism http://alexleavitt.com Twitter: @alexleavitt On Mon, Oct 1, 2012 at 3:00 AM, Stephanie Betz <stephanie.betz@gmail.com>wrote:
Hi everyone,
I'm looking at doing a project that analyses posts on Tumblr. Unfortunately, however, the tools available through the Tumblr website aren't particularly useful for analysing large amounts of posts.
Does anyone know of any third-party applications that may be useful for exploring Tumblr's tags and posts?
Thanks,
Steph.
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participants (3)
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Alex Leavitt -
Shulman, Stuart -
Stephanie Betz