An Implementation of the 'DoubleClick for Publishers' API

Functions to interact with the 'Google DoubleClick for Publishers (DFP)' API <> (recently renamed to 'Google Ad Manager'). This package is automatically compiled from the API WSDL (Web Service Description Language) files to dictate how the API is structured. Theoretically, all API actions are possible using this package; however, care must be taken to format the inputs correctly and parse the outputs correctly. Please see the 'Google Ad Manager' API reference <> and this package's website <> for more information, documentation, and examples.

Build Status AppVeyor Build Status CRAN_Status_Badge Coverage Status

Compiled using DFP API version: v201811

rdfp allows you to use the DoubleClick for Publishers API from R (recently renamed to Google Ad Manager). Manage inventory, create orders, pull reports, and more!

Table of Contents


# or get the latest version available on GitHub using the devtools package
# install.packages("devtools")

If you encounter a clear bug, please file a minimal reproducible example on GitHub.


The README below outlines the package functionality, but review the vignettes for more detailed examples on usage.


All functions start with dfp_ so that you can easily identify DFP-specific operations and use tab completion in RStudio. Most rdfp functions will return a tbl_df or list parsed from the XML returned in the SOAP response.

Load Package and Set API Version

Google releases 4 versions of the DFP API each year and deprecates versions older than one year, so there is a lot that's regularly changing in this package. rdfp is periodically compiled against a recent version of the API. If you would like to use an older or newer API version that what is the package default, then just specify it as an option.

# see the package default version
#> [1] "v201811"
# this will force all calls to be against the version "v201808"
options(rdfp.version = "v201808")


To authenticate you will first need to specify the network_code of the DFP instance you would like to connect to. This is the only required option that the user must specify when using the rdfp package. After setting the network_code all you need to do is run dfp_auth(). If you already have a cached .httr-oauth-rdfp file in the current working directory, then the token will be loaded and refreshed if necessary. Otherwise, your browswer will pop open and you will interactively authenticate.

The package has other options like a client_id and client_secret where you can connect using your own Google Client instead of the package default. Using your own client requires you to first set one up in the Google Developers Console.

options(rdfp.network_code = "12345678")
options(rdfp.application_name = "MyApp")
options(rdfp.client_id = "")
options(rdfp.client_secret = "Th1s1sMyC1ientS3cr3t")
# dfp_auth will use the options above and cache an OAuth token in the working directory
# the token will be refreshed when necessary

Get Current User Info

# Check current user or network
user_info <- dfp_getCurrentUser()
user_info[,c('id', 'isActive')]
#> # A tibble: 1 x 2
#>          id isActive
#>       <dbl> <lgl>   
#> 1 185549536 TRUE
network_info <- dfp_getCurrentNetwork()
network_info[,c('id', 'networkCode')]
#> # A tibble: 1 x 2
#>       id networkCode
#>    <dbl>       <dbl>
#> 1 109096     1019096

Pull a LineItem

The function dfp_getLineItemsByStatement() function from the LineItemService allows you to retrieve Line Items by Publishers Query Language (PQL) statement. The statement is constructed as a list of lists that are nested to emulate the hierarchy of the XML that needs to be created in the request.

# Retrieve up to 3 Line Items that have a status of "DELIVERING"
request_data <- list('filterStatement'=list('query'="WHERE status='DELIVERING' LIMIT 3"))
resultset <- dfp_getLineItemsByStatement(request_data, as_df=TRUE) 
resultset[,c('orderId', 'id', 'priority', 'deliveryRateType')]
#> # A tibble: 3 x 4
#>      orderId         id priority deliveryRateType
#>        <dbl>      <dbl>    <dbl> <chr>           
#> 1 2231707164 4557799162       12 EVENLY          
#> 2 2231707164 4557800341       12 EVENLY          
#> 3 2231707164 4557803758       12 EVENLY

Run a Report

Below is an example of how to make a simple report request.

# In order to run a report you must specify how the report should be structured 
# by specifying a reportQuery inside a reportJob. All of the dimensions, columns, 
# date range options, etc. are documented at:
request_data <- list(reportJob=list(reportQuery=list(dimensions='MONTH_AND_YEAR', 
                                                     columns = 'AD_SERVER_IMPRESSIONS', 
                                                     columns = 'AD_SERVER_CLICKS',
# a convenience function has been provided to you to manage the report process workflow
# if you would like more control, see the example below which moves through each step in the process
report_data <- dfp_full_report_wrapper(request_data)
report_data[,c('Dimension.MONTH_AND_YEAR', 'Dimension.AD_UNIT_ID', 'Column.AD_SERVER_CLICKS')]
#> # A tibble: 9 x 3
#>   Dimension.MONTH_AND_YEAR Dimension.AD_UNIT_ID Column.AD_SERVER_CLICKS
#>   <chr>                                   <dbl>                   <dbl>
#> 1 2018-12                           21677451947                     864
#> 2 2018-12                           21677451950                     210
#> 3 2018-12                           21677553898                    5049
#> 4 2018-12                           21677553901                     174
#> 5 2018-12                           21677553904                    3474
#> 6 2018-12                           21677451953                    1687
#> 7 2018-12                           21677553910                      65
#> 8 2018-12                           21677553913                    2589
#> 9 2018-12                           21677554012                      75


This application uses other open source software components. The authentication components are mostly verbatim copies of the routines established in the googlesheets package ( We acknowledge and are grateful to these developers for their contributions to open source.

More Information

Google provides support for client libraries here, but unfortunately, R is not a supported language. Google's client libraries directly reference the production WSDLs to interact with the API, but this package makes SOAP requests best formatted to match the WSDL standards. This articulation is not perfect and continued progress will be made to bring functionality up to par with the client libraries.

Most all operations supported by the DFP API are available via this package. It is strongly recommended that you use the DFP API Reference when using this package. Details on formatting, attributes, and methods are all better explained by Google's documentation.

More information is also available on the pkgdown site at


Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.


rdfp 0.1.3 release

Note: DoubleClick for Publishers was recently renamed to Google Ad Manager. For this version we will continue to use the "dfp" abbreviation although everything else has been updated to v201811 from the Google Ad Manager API reference.

Also, please note that the API has changed the name of timeZoneID to timeZoneId. We have modified functions to follow suit. You may need to update this argument in existing scripts, especially when dealing with forecasts, reports, orders, and lineitems.


  • Update to latest version which is v201811 (#8)
  • Make the default file name for a cached token ".httr-oauth-rdfp" so that it does not clash with other package token names
  • dfp_date_to_list() now infers the timezone if not provided. Previously it always defaulted to a value of America/New_York (#6)
  • Increased the default max_tries argument in dfp_full_report_wrapper() from 10 to 20 tries so that long running queries do not "timeout" by reaching the max number of tries without completing

Bug Fixes

  • Update vignette names so that they are not duplicated, which is now a required check for CRAN

rdfp 0.1.2 release


  • dfp_report_url_to_dataframe() now returns a tbl_df object for better printing and casted data types
  • Simplify dfp_select() so that it automatically uses dfp_select_parse() to format the result into a tbl_df
  • Add dfp_date_as_list() that will convert a date or datetime representation in R to the required list format for submission to DFP
  • Add examples to functions so that the inline documentation gives a better idea of how to make it work in R
  • Add addtl_scopes arugment to dfp_auth() so that users can create token that can be used with other R packages to connect to other Google services

rdfp 0.1.1 release


  • Upgraded to API version v201802
  • Created more efficient parsers parse_soap_response(). Warning: This will cause some breaking changes because how certain results are returned may be different.

Bug Fixes

  • Line item targeting does not come back as a matrix. It is preserved as a list so it can be directly passed back into the ForecastService functions or LineItemService to get detailed availability

rdfp 0.1.0 release


  • Simple Administrative Tools:
    • dfp_getCurrentUser()
    • dfp_getCurrentNetwork()
    • dfp_createTeams()
    • dfp_createUsers()
    • dfp_createUserTeamAssociations()
    • dfp_createCompanies()
    • dfp_createContacts()
  • Ad Trafficking Setup:
    • dfp_createLabels()
    • dfp_createCustomFields()
    • dfp_createCustomFieldOptions()
    • dfp_createCustomTargetingKeys()
    • dfp_createCustomTargetingValues()
  • Manipulating Orders and LineItems:
    • dfp_createOrders()
    • dfp_getLineItemsByStatement()
  • Forecasting and Reporting:
    • dfp_full_report_wrapper()
    • dfp_getDeliveryForecast()
    • dfp_getAvailabilityForecast()

Bug Fixes

  • None.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.4 by Steven M. Mortimer, a year ago

Report a bug at

Browse source code at

Authors: Steven M. Mortimer [aut, cre] , Jennifer Bryan [ctb] , Joanna Zhao [ctb]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports utils, methods, httr, curl, plyr, XML, dplyr, xml2, readr, data.table, purrr, lubridate

Suggests knitr, testthat, rmarkdown, here

See at CRAN