itunesr

Overview

The goal of itunesr 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)
getAttributes(742044692,'in')

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

Note: If you're trying this behind a Firewall, you might get: Error in open.connection(con, "rb") : Timeout was reached To 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: US
uber_reviews <- getReviews(368677368,'us',1)

#Displaying the column names 
names(uber_reviews)

#Ratings count from the 50 Reviews
table(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)

 1  2  3  4  5 
19  3  7  4 17 

Using itunesr output with Tidyverse

> amazon_reviews <- getReviews("297606951","us",1)
> library(tidyverse)
> amazon_reviews %>% count(Rating)
# A tibble: 5 x 2
  Rating     n
  <fct>  <int>
1 1         25
2 2          8
3 3          9
4 4          4
5 5          4