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Mastering Social Media Mining with R

You're reading from   Mastering Social Media Mining with R Extract valuable data from your social media sites and make better business decisions using R

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781784396312
Length 248 pages
Edition 1st Edition
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Table of Contents (8) Chapters Close

Preface 1. Fundamentals of Mining 2. Mining Opinions, Exploring Trends, and More with Twitter FREE CHAPTER 3. Find Friends on Facebook 4. Finding Popular Photos on Instagram 5. Let's Build Software with GitHub 6. More Social Media Websites Index

Retrieving venue data from Foursquare


Foursquare is a local search services company that offers its service on the mobile platform as well as a website. Log in to Foursquare as a developer in order to get the idea of the API request and response patterns. On registering, a unique OAuth token is generated.

In the developer's login, open the explorer from the list of links on the left-hand side panel. Here's a screenshot of the developer's landing page:

In the explorer panel, we can see how the request is being sent, which can again be replicated in R using either the function fromJSON or GET. The data will be retrieved in the JSON format. Here's the screenshot of the explorer panel:

We can now execute the API request from R using the function fromJSON. First, let's get the user details:

fromJSON("https://api.foursquare.com/v2/users/self?oauth_token=<Paste your OAuth token here>")

We get the following output:

The preceding API request provides many details about the user such as name, location...

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