Chief among instaExtract's functionality is providing the tools for the user to pull relevant data from Instagram. This is accomplished by pulling information from JSON links constructed based on the user's query. These queries may be based on a user, a location, a particular post, or a hashtag. The package then returns a dataframe with the information relating to either the selected item or a number of items. These returned values depend on what item is being created, but contain such things as the username, date, number of likes, relevant hashtags, and a permanent link. These fields form a foundation for analysts to discover trends and patterns relating to their field of study. For example, an intel officer might find that an inoccous hashtag is highly correlated with known members of an orginzation. While the goal is for this package to be updated and accumulate useful functions as they are developed in the real world, the package starts only as a tool to pull information. Therefor, the end-user does not require much to any skill. Simply knowing what they are looking for is all that is required. In creating a shiny app, creating an interface that illustrates what capacity for searching the package will do will further reduce the complexity of the package.
Package details |
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Author | Anthony Kallhoff |
Maintainer | Anthony Kallhoff <kallhoffa@gmail.com> |
License | GPL (>= 2) |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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