This Python source code for Twitter API is based on "Mining the Social Web (2nd Edition)", and supplies code samples for authorizing application access, retrieving trends, displaying API responses as pretty-printed JSON, computing intersections of two set trends, collecting search results, extracting text, screen names, and hashtags from tweets, creating frequency distributions from words in tweets, using prettytable to display tuples in tabular format, calculation of lexical diversity, finding popular retweets, looking up authors of retweets, plotting frequencies of words, generating histograms of words, screen names, and hashtags, and generating histograms of retweets counts.
Snip.it lets you collect what you see on the web, be it an article, video, or image, then categorize it, add your own comments, and share it. The Snip.it API, currently in version 2, is RESTful with the response in JSON. Snip.it itself features a backbone.js-powered page load structure to speed things along.
Nineteen APIs have been added to the ProgrammableWeb directory in categories including Internet of Things, Business, Natural Language Processing and Social. Highlights include Sygic Travel APIs for travel planning and RiteKit social media engagement APIs. Here's a look at what is new.
Your Twitter mashup just got 50% more content. And if you follow many people, you may have already noticed an increase in the flow of information. Why? Twitter just allowed developers 50% more calls per hour.