Over the last couple of years I’ve continued to tweak my Airbnb data collection code and run it against a number of cities. Anyone interested can see a partial list here, and if there’s a city you would like me to post data for, you can make a request here.
Some time ago I made the GitHub project private, as there’s obviously a potential for Airbnb to identify patterns and shut down attempts to scrape data. But enough people keep asking for it that I’m opening it up again, and you can find it here if you are interested. I make no claims to elegance or good practices in the code, but it’s worked for me.
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Looking back at the Airbnb report that Murray Cox and I did earlier this month, now that Airbnb admits we were right… Continue reading
links to coverage of What’s Yours is Mine. Continue reading
The media response to the Airbnb report from Murray Cox and me has been gratifying. Here are the major stories to date… Continue reading
On December 1 2015, Airbnb made data available about its business in New York City, with much fanfare. A new report by Murray Cox and myself shows that the Airbnb data release misled the media and the public. Continue reading
Airbnb “releases” new numbers and claims they prove the critics wrong. They don’t. Continue reading
Current reputation systems show to contradictory effects: everybody is above average (Lake Wobegon effect) and yet service providers live in fear bad of ratings (Panopticon effect). I present a model that explains this, and which argues that reputation systems are to be avoided. Continue reading