Retrieve data from kintone via its API. kintone is an enterprise application platform.
Stable CRAN version
install.packages("kntnr")Dev version
devtools::install_github("yutannihilation/kntnr")To use kintone API, kntnr needs the following environmental variables.
KNTN_URL: kintone URLKNTN_AUTH_TYPE: authentication type (password or
token)KNTN_AUTH: API token or BASE64 encoded login name and
passwordkntn_set_auth() sets these environmental variables
interactively.
library(kntnr)
# password-based authentication
kntn_set_auth()
# token-based authentication
kntn_set_auth(auth_type = "token")To set another information, run kntn_set_auth() with
overwrite = TRUE.
kntn_set_auth(overwrite = TRUE)Or, unset the environmental variables by
kntn_unset_auth().
kntn_unset_auth()You can define the environmental variables in .Renviron,
which is loaded at the start of an R session. For more information, see
?Startup.
KNTN_URL = https://example.kintone.com/
KNTN_AUTH_TYPE = token
KNTN_AUTH = 1234567890kntn_record() gets a single record from the specified
kintone application. kntn_records() retrieves multiple
records at once. If the number of records is more than
records_per_request (the default is 100), kntn_records()
automatically splits the request into smaller subrequests.
app <- 10
# get a single record
d <- kntn_record(app, id = 1)
# get records up to 1000 (default)
d <- kntn_records(app)
# get records up to 5000 records at the latency of 500 records/request.
d <- kntn_records(app, max_records = 5000, records_per_request = 500L)Some types like SUBTABLE are converted as nested data.frame. You can
unnest them by using kntn_unnest().
kntn_unnest(d)kntn_file() gets a file from kintone API and try to
parse it with httr::content(). If you want to parse it by
yourself, specify as = "raw" or
as = "text".
d <- kntn_record(app, id = 1)
f <- kntn_file(fileKey = x$Attachment[[1]]$fileKey[1])