Twitter data buffet is back in business

Posted to Data Sources  |  Nathan Yau

Almost a year and a half ago, Infochimps, the data repository slash marketplace, released a giant scrape of Twitter data representing 2.7 million users, 10 million tweets, and 58 million connections. Twitter soon requested that they take it down while they figured out how they wanted to handle licensing, privacy, etc.

That was in 2008, before Twitter really started booming. Fast forward to now. Twitter and Infochimps have figured out what they want to do, and the Twitter census data is back up. It’s no longer a measly 2.7 million users anymore though. The population has grown to 35 million.

This time around, instead of one big data dump, Infochimps provides large datasets for several metrics. Some are free. Some are not. Since there’s no easy way to split up free from non-free or sort by price on Infochimps, I’ve saved you the trouble and separated it for you.

Here are the free ones:

These will cost you, ranging from $20 to all the way up to $800. Generally speaking, the free data is a subset of the paid data.

So there you go. No more wasting time trying to get crafty with the Twitter API limits. It’s all there at your disposal. Now what are you going to do with it?

1 Comment

  • Very interesting stuff! The one thing I’m really interested in learning about Twitter users is browser stats: what browser they’re using, what their screen resolutions are, etc.. Is this data out there anywhere?

Favorites

A Day in the Life of Americans

I wanted to see how daily patterns emerge at the individual level and how a person’s entire day plays out. So I simulated 1,000 of them.

Famous Movie Quotes as Charts

In celebration of their 100-year anniversary, the American Film Institute selected the 100 most memorable quotes from American cinema, and …

The Best Data Visualization Projects of 2011

I almost didn’t make a best-of list this year, but as I clicked through the year’s post, it was hard …

Most popular porn searches, by state

We’ve seen that we can learn from what people search for, through the eyes of Google suggestions: state stereotypes, national …