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https://github.com/amrrs/itunesr
📱 R Package to access iTunes App Store Ratings and Reviews 📱
https://github.com/amrrs/itunesr
apple appstore itunes r r-package reviews rstats
Last synced: 3 months ago
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📱 R Package to access iTunes App Store Ratings and Reviews 📱
- Host: GitHub
- URL: https://github.com/amrrs/itunesr
- Owner: amrrs
- Created: 2017-08-03T04:01:31.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-10-11T13:38:17.000Z (about 6 years ago)
- Last Synced: 2024-05-21T02:53:58.142Z (6 months ago)
- Topics: apple, appstore, itunes, r, r-package, reviews, rstats
- Language: R
- Homepage: https://amrrs.github.io/itunesr/
- Size: 56.6 KB
- Stars: 30
- Watchers: 2
- Forks: 4
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# itunesr
[](https://travis-ci.org/amrrs/itunesr) [](https://cran.r-project.org/package=itunesr) [](https://cranlogs.r-pkg.org/badges/grand-total/itunesr) [](https://codecov.io/github/amrrs/itunesr?branch=master)
[](http://www.rdocumentation.org/packages/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
------------
``` r
# 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
---------------
``` r
library(itunesr)
getReviews(368677368,'us',1)
```
```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](https://support.rstudio.com/hc/en-us/articles/200488488-Configuring-R-to-Use-an-HTTP-or-HTTPS-Proxy)
Examples
---------------
### Code
```r
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$Rating)
```
### Output
``` r
> library('itunesr')
> #Latest (Page 1) Uber Reviews for Country: US
> uber_reviews <- getReviews(368677368,'us',1)
> #Displaying the column names
> names(uber_reviews)
[1] "Title" "Author_URL" "Author_Name" "App_Version" "Rating" "Review" "Date"
> #Ratings count from the 50 Reviews
> table(uber_reviews$Rating)
1 2 3 4 5
19 3 7 4 17
```
### Using itunesr output with Tidyverse
``` r
> amazon_reviews <- getReviews("297606951","us",1)
> library(tidyverse)
> amazon_reviews %>% count(Rating)
# A tibble: 5 x 2
Rating n
1 1 25
2 2 8
3 3 9
4 4 4
5 5 4
```