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Save ryanpraski/b4c8d64cb3affd58526ec88d631df259 to your computer and use it in GitHub Desktop.
Send your Google Analytics metrics and dimensions to Google Big Query using Google Apps Script.
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//Replace xxx with your values as necessary. | |
function googleAnalyticsReporting() { | |
projectId = "xxx"; | |
datasetId = "xxx"; | |
tableId = 'xxx'; | |
data = []; | |
yesterday = new Date(); | |
yesterday.setDate(yesterday.getDate() - 1); | |
yesterday = Utilities.formatDate(yesterday, 'UTC', "yyyy-MM-dd"); | |
metrics = "ga:sessions, ga:users, ga:transactions,ga:transactionRevenue, ga:avgSessionDuration"; | |
options = {'dimensions': 'ga:date, ga:channelGrouping, ga:userType, ga:week, ga:year','sort': 'ga:date'}; | |
report = Analytics.Data.Ga.get("ga:xxx", yesterday, yesterday, metrics, options); | |
responseData = JSON.parse(report); | |
for (i in responseData.rows) { | |
final = JSON.stringify({ | |
'date': responseData.rows[i][0].replace(/(^[0-9]{4})([0-9]{2})([0-9]{2})/g,"$1-$2-$3T00:00:00Z"), | |
'channelGrouping': responseData.rows[i][1], | |
'userType': responseData.rows[i][2], | |
'week': responseData.rows[i][3], | |
'year': responseData.rows[i][4], | |
'sessions': responseData.rows[i][5], | |
'users': responseData.rows[i][6], | |
'transactions': responseData.rows[i][7], | |
'transactionRevenue': responseData.rows[i][8], | |
'avgSessionDuration': responseData.rows[i][9] | |
}); | |
data.push(final); | |
} | |
data = data.join("\n"); | |
blobData = Utilities.newBlob(data, "application/octet-stream"); | |
job = { | |
configuration: { | |
load: { | |
destinationTable: { | |
projectId: projectId, | |
datasetId: datasetId, | |
tableId: tableId | |
}, | |
sourceFormat: "NEWLINE_DELIMITED_JSON" | |
} | |
} | |
} | |
job = BigQuery.Jobs.insert(job, projectId, blobData); | |
} |
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