Notes
![twitter-crushes on GitHub (.zip download)
Tumblr has a thing called “Crushes” that shows you whose posts you’ve Liked the most. I made a little thing like that for Twitter to show you whose twitters you’ve Favorited the most. You run it from the command-line, à la Van Hœt. If you want to find out who you favr the most on Twitter, try it out. You don’t need to give it your Twitter password or anything.
Usage: python twitter-crushes.py username [pages]
Arguments:
username: your username (or the username of the person whose favorites you want to graph)
pages: the number of pages of favorites you want to graph (there are 20 favorites on each page, btw)
I recommend running twitter-crushes and getting about 20 pages worth of Favorites. That way, you get a bit of a long-term idea of whose twitters you’re favring.
Oh, and a warning: every one of the pages counts as an unauthenticated request to Twitter, of which you’re allowed 150 per hour from a single IP address. So, if you run twitter-crushes and graph 15 pages worth of Favorites, you could only do that ten times every hour. So that’s a slight limitation.](http://29.media.tumblr.com/tumblr_l4rgflQj201qzh2ygo1_500.png)
twitter-crushes on GitHub (.zip download)
Tumblr has a thing called “Crushes” that shows you whose posts you’ve Liked the most. I made a little thing like that for Twitter to show you whose twitters you’ve Favorited the most. You run it from the command-line, à la Van Hœt. If you want to find out who you favr the most on Twitter, try it out. You don’t need to give it your Twitter password or anything.
Usage:
python twitter-crushes.py username [pages]Arguments:
username: your username (or the username of the person whose favorites you want to graph)pages: the number of pages of favorites you want to graph (there are 20 favorites on each page, btw)
I recommend running twitter-crushes and getting about 20 pages worth of Favorites. That way, you get a bit of a long-term idea of whose twitters you’re favring.
Oh, and a warning: every one of the pages counts as an unauthenticated request to Twitter, of which you’re allowed 150 per hour from a single IP address. So, if you run twitter-crushes and graph 15 pages worth of Favorites, you could only do that ten times every hour. So that’s a slight limitation.
