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Mastering Social Media Mining with Python

You're reading from   Mastering Social Media Mining with Python Unearth deeper insight from your social media data with advanced Python techniques for acquisition and analysis

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781783552016
Length 338 pages
Edition 1st Edition
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Author (1):
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Marco Bonzanini Marco Bonzanini
Author Profile Icon Marco Bonzanini
Marco Bonzanini
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Table of Contents (10) Chapters Close

Preface 1. Social Media, Social Data, and Python FREE CHAPTER 2. #MiningTwitter – Hashtags, Topics, and Time Series 3. Users, Followers, and Communities on Twitter 4. Posts, Pages, and User Interactions on Facebook 5. Topic Analysis on Google+ 6. Questions and Answers on Stack Exchange 7. Blogs, RSS, Wikipedia, and Natural Language Processing 8. Mining All the Data! 9. Linked Data and the Semantic Web

Getting started with the Stack Exchange API


The Stack Exchange API (https://api.stackexchange.com/docs) provides a programmatic access to all the Stack Exchange websites. Third-party applications that intend to use the API should be registered at http://stackapps.com in order to obtain a request key used to grant more requests per day. Registered apps can also perform authenticated API calls, that is, to interact with Stack Exchange on behalf of the authenticated user. The registration process is fairly straightforward, as shown in Figure 6.3-all the details required are an Application Name and Description:

Figure 6.3: An app registration on stackapps.com

The immediate effect of registering our application is the increased number of requests per day that are allowed by the API. It's important to note that rate limits are not only set on a daily basis, but also to prevent flooding (for example, if the same IP is sending more than 30 requests per second, the requests will be dropped). Details...

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