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The goal of taboolaR
is to help R
users to
access digital marketing data from Taboola via Windsor.ai
API
in a convenient way from R
.
Windsor.ai allows to get marketing data from any platform. It beautifully simplifies the complexity of dealing with multiple platforms, unlocking unified, valuable information in a format that matters to you. For more details checkout onboard.windsor.ai.
You can install the development version of taboolaR from GitHub with:
# install.packages("devtools")
::install_github("pablosanchezmart/taboolaR") devtools
You need to get a free API key to access windsor.ai’s APIs. Register your account first and add a data source like Taboola and then get the API key. For more details check out our official API documentation and this article. Get the API key at https://onboard.windsor.ai. You have a 30 days trial for free.
The package currently has only one function
fetch_taboolaR
which will return a data.frame
provided that all of the arguments are supplied to it:
Running:
library(taboolaR)
<-
my_taboola_data fetch_taboola(api_key = "your api key",
date_from = Sys.Date()-100,
date_to = Sys.Date(),
fields = c("campaign", "clicks",
"spend", "impressions", "date"))
'data.frame': 14 obs. of 5 variables:
$ campaign : chr "retageting APAC" "retargeting UK&CO" "retageting APAC" "retargeting UK&CO" ...
$ clicks : num 4 0 5 7 0 0 4 2 3 0 ...
$ spend : num 2.57 2.48 2.39 2.54 0.94 0.71 2.59 2.12 2.43 0.13 ...
$ impressions: num 806 693 819 689 299 190 682 688 822 135 ...
$ date : chr "2022-09-28" "2022-09-28" "2022-09-29" "2022-09-29" ...
Will return a data.frame
with marketing data from
Taboola.
For more details see the API documentation at https://windsor.ai//api-fields/.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.