googleAnalyticsR (version 0.1.0)

google_analytics_4: GAv4 single request

Description

A convenience function that wraps make_ga_4_req and fetch_google_analytics_4 for the common case of one GA data request. Will perform batching if over the 10000 row per API call limit.

Usage

google_analytics_4(viewId, date_range = NULL, metrics = NULL,
  dimensions = NULL, dim_filters = NULL, met_filters = NULL,
  filtersExpression = NULL, order = NULL, segments = NULL,
  pivots = NULL, cohorts = NULL, max = 1000,
  samplingLevel = c("DEFAULT", "SMALL", "LARGE"), metricFormat = NULL,
  histogramBuckets = NULL)

Arguments

viewId

viewId of data to get.

date_range

character or date vector of format c(start, end) or for two date ranges: c(start1,end1,start2,end2)

metrics

Metric to fetch. Required. Supports calculated metrics.

dimensions

Dimensions to fetch.

dim_filters

A filter_clause_ga4 wrapping dim_filter

met_filters

A filter_clause_ga4 wrapping met_filter

filtersExpression

A v3 API style simple filter string. Not used with other filters.

order

An order_type object

segments

List of segments as created by segment_ga4

pivots

Pivots of the data as created by pivot_ga4

cohorts

Cohorts created by make_cohort_group

max

Maximum number of rows to fetch. Defaults at 1000.

samplingLevel

Sample level

metricFormat

If supplying calculated metrics, specify the metric type

histogramBuckets

For numeric dimensions such as hour, a list of buckets of data. See details in make_ga_4_req

Value

• A Google Analytics data.frame

See Also

Other GAv4 fetch functions: fetch_google_analytics_4, make_ga_4_req

Examples

library(googleAnalyticsR)

## authenticate, 
## or use the RStudio Addin "Google API Auth" with analytics scopes set
ga_auth()

## get your accounts
account_list <- google_analytics_account_list()

## pick a profile with data to query

ga_id <- account_list[23,'viewId']

ga_data <- google_analytics_4(ga_id, 
                              date_range = c("2015-07-30","2015-10-01"),
                              dimensions=c('source','medium'), 
                              metrics = c('sessions','bounces'))