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R Library to extract data from the Google Analytics API

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This repo is the new home for the RGoogleAnalytics library migrated from Google Code SVN

What is it

RGoogleAnalytics is a R Wrapper around the Google Analytics API. It allows fast and easy data extraction in R so that further statistical analysis can be run on the data

Key Features

  • Provides Access to v3 of the Google Analytics Core Reporting API

  • Supports authorization via OAuth 2.0

  • QueryBuilder Class to simplify creation of API Queries

  • Ability to pull more than 10,000 rows of data in batches via pagination of queries

  • Ability to mitigate the effect of Query Sampling by decreasing the date-range of queries and hence extract (nearly) unsampled data

  • In cases where queries are sampled, the output also returns the percentage of sessions that were used for the query

Installation

To get the current released version from CRAN:

install.packages("RGoogleAnalytics")

To get the current development version from github:

# install.packages("devtools")
devtools::install_github("Tatvic/RGoogleAnalytics")

Dependencies

  • RCurl handles all the API Requests and Responses

  • rjson is used to convert the JSON Responses delivered by the Google Analytics API into R Objects

  • lubridate handles the date manipulation logic underlying Query Partitioning

Background

Work on RGoogleAnalytics was started by Michael Pearmain at Google. He was supported by Nick Mihailowski (Google) and Vignesh Prajapati(Tatvic).

Important Links

  • List of Valid Dimension/Metric Combinations from the Google Analytics API Reference Guide

  • Query Feed Explorer allows you to test your queries for syntatical correctness. Once verified, the query parameters can then be copied to your R Script

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R Library to extract data from the Google Analytics API

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