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📱 R Package to access iTunes App Store Ratings and Reviews 📱

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amrrs/itunesr

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Build StatusCRAN_Status_BadgeDOWNLOADSTOTALCoverage StatusRdoc

Overview

The goal ofitunesr is to help iOS App Developers access iTunes App Store Ratings and Reviews programmatically, since iTunes Connect doesn't provide this data straightforward.

Installation

# install itunesr directly from CRAN:install.packages("itunesr")#  the development version from GitHub:# install.packages("devtools")devtools::install_github("amrrs/itunesr")

Dependency Packages

  • jsonlite
  • xml2
  • lubridate
  • curl

Getting started

library(itunesr)getReviews(368677368,'us',1)

itunesr can be loaded just like any other R-package withlibrary(itunesr).

Note: If you're trying this behind a Firewall, you might get:Error in open.connection(con, "rb") : Timeout was reachedTo resolve this error, Please refer this link:Configuring R to Use an HTTP or HTTPS Proxy

Examples

Code

library(itunesr)#Latest (Page 1) Uber Reviews for the Country: USuber_reviews<- getReviews(368677368,'us',1)#Displaying the column namesnames(uber_reviews)#Ratings count from the 50 Reviewstable(uber_reviews$Rating)

Output

> library('itunesr')>#Latest (Page 1) Uber Reviews for Country: US>uber_reviews<- getReviews(368677368,'us',1)>#Displaying the column names> names(uber_reviews)[1]"Title""Author_URL""Author_Name""App_Version""Rating""Review""Date">#Ratings count from the 50 Reviews> table(uber_reviews$Rating)123451937417

Using itunesr output with Tidyverse

>amazon_reviews<- getReviews("297606951","us",1)> library(tidyverse)>amazon_reviews %>% count(Rating)# A tibble: 5 x 2Ratingn<fct><int>1125228339444554

About

📱 R Package to access iTunes App Store Ratings and Reviews 📱

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