In this repo, I include some of my r-scripts to make Plentymarkets REST API calls with statistical software R. R is very useful to make efficient calls especially when you have large number of orders. R can make the API calls very fast. Moreover, we can work on the data very efficiently to perform statistical data analysis. R is very useful to explore and summarize the E-commerce Data.
- Go to .env.R file and edit the corresponding directories and login data This file inclues all the directories and filenames that are used to save the derived data
- save the env.R and rename it as .env.R
- Uncomment the the follwonig lines and install the packages if necessary . After installing it then comment them again so that yo dont execute these install command every time you run the script install.packages("httr") install.packages("jsonlite")
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proc_plentymarkets_login.R
Plentymarkets REST API Login and get the API KEY
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ex_get_countryinfo.R
This script uses functions from
proc_get_countries.R"
proc_plentymarkets_login.R"
and gets the list of countries.