How to upload raw data from Google Ads to Google BigQuery

Table of contents

• Why you need raw data from Google Ads
• Two ways to upload raw data from Google Ads into BigQuery
• How to configure upload using Data Transfer
• How to set up upload using Ads Script
• How to connect data download from Google Ads to OWOX BI
• Useful tips

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Why you need raw data from Google Ads

Two ways to upload raw data from Google Ads into BigQuery

What you need for settings

How to grant access rights in GBQ

How to configure upload using Data Transfer

Step 1. Create a project in the Google Cloud Platform

Step 2. Turn on API BigQuery

Step 3. Activate Data Transfer API

Step 4. Prepare the data set in GBQ

Step 5. Set up data transfer from Google Ads

How to set up upload using Ads Script

    
/**
 * @name Export Data to BigQuery
 *
 * @overview The Export Data to BigQuery script sets up a BigQuery
 * dataset and tables, downloads a report from AdWords and then
 * loads the report to BigQuery.
 *
 * @author AdWords Scripts Team [adwords-scripts@googlegroups.com]
 *
 * @version 1.3
 */
 
var CONFIG = {
 BIGQUERY_PROJECT_ID: 'BQ project name',
 BIGQUERY_DATASET_ID: AdWordsApp.currentAccount().getCustomerId().replace(/-/g, '_'),
 
 // Truncate existing data, otherwise will append.
 TRUNCATE_EXISTING_DATASET: false,
 TRUNCATE_EXISTING_TABLES: true,
 
 // Lists of reports and fields to retrieve from AdWords.
 REPORTS: [],
 
 RECIPIENT_EMAILS: [
 'Your email'
 ]
};
 
var report = {
 NAME: 'CLICK_PERFORMANCE_REPORT', //https://developers.google.com/adwords/api/docs/appendix/reports/click-performance-report
 CONDITIONS: '',
 FIELDS: {'AccountDescriptiveName': 'STRING',
 'AdFormat': 'STRING',
 'AdGroupId': 'STRING',
 'AdGroupName': 'STRING', 
 'AoiCountryCriteriaId': 'STRING',
 'CampaignId': 'STRING',
 'CampaignLocationTargetId': 'STRING',
 'CampaignName': 'STRING',
 'CampaignStatus': 'STRING',
 'Clicks': 'INTEGER',
 'ClickType': 'STRING', 
 'CreativeId': 'STRING', 
 'CriteriaId': 'STRING', 
 'CriteriaParameters': 'STRING', 
 'Date': 'DATE',
 'Device': 'STRING', 
 'ExternalCustomerId': 'STRING', 
 'GclId': 'STRING',
 'KeywordMatchType': 'STRING', 
 'LopCountryCriteriaId': 'STRING', 
 'Page': 'INTEGER'
 },
 DATE_RANGE: new Date(new Date().setDate(new Date().getDate()-1)).toISOString().slice(0, 10).replace(/-/g, "")+','+new Date(new Date().setDate(new Date().getDate()-1)).toISOString().slice(0, 10).replace(/-/g, ""),
 DATE: new Date(new Date().setDate(new Date().getDate()-1)).toISOString().slice(0, 10).replace(/-/g, "")
};
 
//Regular export
CONFIG.REPORTS.push(JSON.parse(JSON.stringify(report)));
 
//One-time historical export
//for(var i=2;i<91;i++){
// report.DATE_RANGE = new Date(new Date().setDate(new Date().getDate()-i)).toISOString().slice(0, 10).replace(/-/g, "")+','+new Date(new Date().setDate(new Date().getDate()-i)).toISOString().slice(0, 10).replace(/-/g, "");
// report.DATE = new Date(new Date().setDate(new Date().getDate()-i)).toISOString().slice(0, 10).replace(/-/g, "");
// CONFIG.REPORTS.push(JSON.parse(JSON.stringify(report)));
//}
 
/**
 * Main method
 */
function main() {
 createDataset();
 for (var i = 0; i < CONFIG.REPORTS.length; i++) {
 var reportConfig = CONFIG.REPORTS[i];
 createTable(reportConfig);
 }
 
 var jobIds = processReports();
 waitTillJobsComplete(jobIds);
 sendEmail(jobIds);
}
 
 
/**
 * Creates a new dataset.
 *
 * If a dataset with the same id already exists and the truncate flag
 * is set, will truncate the old dataset. If the truncate flag is not
 * set, then will not create a new dataset.
 */
function createDataset() {
 if (datasetExists()) {
 if (CONFIG.TRUNCATE_EXISTING_DATASET) {
 BigQuery.Datasets.remove(CONFIG.BIGQUERY_PROJECT_ID,
 CONFIG.BIGQUERY_DATASET_ID, {'deleteContents' : true});
 Logger.log('Truncated dataset.');
 } else {
 Logger.log('Dataset %s already exists. Will not recreate.',
 CONFIG.BIGQUERY_DATASET_ID);
 return;
 }
 }
 
 // Create new dataset.
 var dataSet = BigQuery.newDataset();
 dataSet.friendlyName = CONFIG.BIGQUERY_DATASET_ID;
 dataSet.datasetReference = BigQuery.newDatasetReference();
 dataSet.datasetReference.projectId = CONFIG.BIGQUERY_PROJECT_ID;
 dataSet.datasetReference.datasetId = CONFIG.BIGQUERY_DATASET_ID;
 
 dataSet = BigQuery.Datasets.insert(dataSet, CONFIG.BIGQUERY_PROJECT_ID);
 Logger.log('Created dataset with id %s.', dataSet.id);
}
 
/**
 * Checks if dataset already exists in project.
 *
 * @return {boolean} Returns true if dataset already exists.
 */
function datasetExists() {
 // Get a list of all datasets in project.
 var datasets = BigQuery.Datasets.list(CONFIG.BIGQUERY_PROJECT_ID);
 var datasetExists = false;
 // Iterate through each dataset and check for an id match.
 if (datasets.datasets != null) {
 for (var i = 0; i < datasets.datasets.length; i++) {
 var dataset = datasets.datasets[i];
 if (dataset.datasetReference.datasetId == CONFIG.BIGQUERY_DATASET_ID) {
 datasetExists = true;
 break;
 }
 }
 }
 return datasetExists;
}
 
/**
 * Creates a new table.
 *
 * If a table with the same id already exists and the truncate flag
 * is set, will truncate the old table. If the truncate flag is not
 * set, then will not create a new table.
 *
 * @param {Object} reportConfig Report configuration including report name,
 * conditions, and fields.
 */
function createTable(reportConfig) {
 var tableName = reportConfig.NAME+reportConfig.DATE;
 if (tableExists(tableName)) {
 if (CONFIG.TRUNCATE_EXISTING_TABLES) {
 BigQuery.Tables.remove(CONFIG.BIGQUERY_PROJECT_ID,
 CONFIG.BIGQUERY_DATASET_ID, tableName);
 Logger.log('Truncated table %s.', tableName);
 } else {
 Logger.log('Table %s already exists. Will not recreate.',
 tableName);
 return;
 }
 }
 
 // Create new table.
 var table = BigQuery.newTable();
 var schema = BigQuery.newTableSchema();
 var bigQueryFields = [];
 
 // Add each field to table schema.
 var fieldNames = Object.keys(reportConfig.FIELDS);
 for (var i = 0; i < fieldNames.length; i++) {
 var fieldName = fieldNames[i];
 var bigQueryFieldSchema = BigQuery.newTableFieldSchema();
 bigQueryFieldSchema.description = fieldName;
 bigQueryFieldSchema.name = fieldName;
 bigQueryFieldSchema.type = reportConfig.FIELDS[fieldName];
 
 bigQueryFields.push(bigQueryFieldSchema);
 }
 
 schema.fields = bigQueryFields;
 table.schema = schema;
 table.friendlyName = tableName;
 
 table.tableReference = BigQuery.newTableReference();
 table.tableReference.datasetId = CONFIG.BIGQUERY_DATASET_ID;
 table.tableReference.projectId = CONFIG.BIGQUERY_PROJECT_ID;
 table.tableReference.tableId = tableName;
 
 table = BigQuery.Tables.insert(table, CONFIG.BIGQUERY_PROJECT_ID,
 CONFIG.BIGQUERY_DATASET_ID);
 
 Logger.log('Created table with id %s.', table.id);
}
 
/**
 * Checks if table already exists in dataset.
 *
 * @param {string} tableId The table id to check existence.
 *
 * @return {boolean} Returns true if table already exists.
 */
function tableExists(tableId) {
 // Get a list of all tables in the dataset.
 var tables = BigQuery.Tables.list(CONFIG.BIGQUERY_PROJECT_ID,
 CONFIG.BIGQUERY_DATASET_ID);
 var tableExists = false;
 // Iterate through each table and check for an id match.
 if (tables.tables != null) {
 for (var i = 0; i < tables.tables.length; i++) {
 var table = tables.tables[i];
 if (table.tableReference.tableId == tableId) {
 tableExists = true;
 break;
 }
 }
 }
 return tableExists;
}
 
/**
 * Process all configured reports
 *
 * Iterates through each report to: retrieve AdWords data,
 * backup data to Drive (if configured), load data to BigQuery.
 *
 * @return {Array.<string>} jobIds The list of all job ids.
 */
function processReports() {
 var jobIds = [];
 
 // Iterate over each report type.
 for (var i = 0; i < CONFIG.REPORTS.length; i++) {
 var reportConfig = CONFIG.REPORTS[i];
 Logger.log('Running report %s', reportConfig.NAME);
 // Get data as csv
 var csvData = retrieveAdwordsReport(reportConfig);
 //Logger.log(csvData);
 // Convert to Blob format.
 var blobData = Utilities.newBlob(csvData, 'application/octet-stream');
 // Load data
 var jobId = loadDataToBigquery(reportConfig, blobData);
 jobIds.push(jobId);
 }
 return jobIds;
}
 
/**
 * Retrieves AdWords data as csv and formats any fields
 * to BigQuery expected format.
 *
 * @param {Object} reportConfig Report configuration including report name,
 * conditions, and fields.
 *
 * @return {string} csvData Report in csv format.
 */
function retrieveAdwordsReport(reportConfig) {
 var fieldNames = Object.keys(reportConfig.FIELDS);
 var query = 'SELECT ' + fieldNames.join(', ') +
 ' FROM ' + reportConfig.NAME + '' + reportConfig.CONDITIONS +
 ' DURING ' + reportConfig.DATE_RANGE;
 Logger.log(query);
 var report = AdWordsApp.report(query);
 var rows = report.rows();
 var csvRows = [];
 // Header row
 csvRows.push(fieldNames.join(','));
 
 // Iterate over each row.
 while (rows.hasNext()) {
 var row = rows.next();
 var csvRow = [];
 for (var i = 0; i < fieldNames.length; i++) {
 var fieldName = fieldNames[i];
 var fieldValue = row[fieldName].toString();
 var fieldType = reportConfig.FIELDS[fieldName];
 // Strip off % and perform any other formatting here.
 if (fieldType == 'FLOAT' || fieldType == 'INTEGER') {
 if (fieldValue.charAt(fieldValue.length - 1) == '%') {
 fieldValue = fieldValue.substring(0, fieldValue.length - 1);
 }
 fieldValue = fieldValue.replace(/,/g,'');
 
 if (fieldValue == '--' || fieldValue == 'Unspecified') {
 fieldValue = ''
 }
 }
 // Add double quotes to any string values.
 if (fieldType == 'STRING') {
 if (fieldValue == '--') {
 fieldValue = ''
 }
 fieldValue = fieldValue.replace(/"/g, '""');
 fieldValue = '"' + fieldValue + '"'
 } 
 csvRow.push(fieldValue);
 }
 csvRows.push(csvRow.join(','));
 }
 Logger.log('Downloaded ' + reportConfig.NAME + ' with ' + csvRows.length +
 ' rows.');
 return csvRows.join('\n');
}
 
/**
 * Creates a BigQuery insertJob to load csv data.
 *
 * @param {Object} reportConfig Report configuration including report name,
 * conditions, and fields.
 * @param {Blob} data Csv report data as an 'application/octet-stream' blob.
 *
 * @return {string} jobId The job id for upload.
 */
function loadDataToBigquery(reportConfig, data) {
 // Create the data upload job.
 var job = {
 configuration: {
 load: {
 destinationTable: {
 projectId: CONFIG.BIGQUERY_PROJECT_ID,
 datasetId: CONFIG.BIGQUERY_DATASET_ID,
 tableId: reportConfig.NAME + reportConfig.DATE
 },
 skipLeadingRows: 1
 }
 }
 };
 
 var insertJob = BigQuery.Jobs.insert(job, CONFIG.BIGQUERY_PROJECT_ID, data);
 Logger.log('Load job started for %s. Check on the status of it here: ' +
 'https://bigquery.cloud.google.com/jobs/%s', reportConfig.NAME,
 CONFIG.BIGQUERY_PROJECT_ID);
 return insertJob.jobReference.jobId;
}
 
/**
 * Polls until all jobs are 'DONE'.
 *
 * @param {Array.<string>} jobIds The list of all job ids.
 */
function waitTillJobsComplete(jobIds) {
 var complete = false;
 var remainingJobs = jobIds;
 while (!complete) {
 if (AdWordsApp.getExecutionInfo().getRemainingTime() < 5){
 Logger.log('Script is about to timeout, jobs ' + remainingJobs.join(',') +
 ' are still incomplete.');
 }
 remainingJobs = getIncompleteJobs(remainingJobs);
 if (remainingJobs.length == 0) {
 complete = true;
 }
 if (!complete) {
 Logger.log(remainingJobs.length + ' jobs still being processed.');
 // Wait 5 seconds before checking status again.
 Utilities.sleep(5000);
 }
 }
 Logger.log('All jobs processed.');
}
 
/**
 * Iterates through jobs and returns the ids for those jobs
 * that are not 'DONE'.
 *
 * @param {Array.<string>} jobIds The list of job ids.
 *
 * @return {Array.<string>} remainingJobIds The list of remaining job ids.
 */
function getIncompleteJobs(jobIds) {
 var remainingJobIds = [];
 for (var i = 0; i < jobIds.length; i++) {
 var jobId = jobIds[i];
 var getJob = BigQuery.Jobs.get(CONFIG.BIGQUERY_PROJECT_ID, jobId);
 if (getJob.status.state != 'DONE') {
 remainingJobIds.push(jobId);
 }
 }
 return remainingJobIds;
}
 
 
/**
 * Sends a notification email that jobs have completed loading.
 *
 * @param {Array.<string>} jobIds The list of all job ids.
 */
function sendEmail(jobIds) {
 var html = [];
 html.push(
 '<html>',
 '<body>',
 '<table width=800 cellpadding=0 border=0 cellspacing=0>',
 '<tr>',
 '<td colspan=2 align=right>',
 "<div style='font: italic normal 10pt Times New Roman, serif; " +
 "margin: 0; color: #666; padding-right: 5px;'>" +
 'Powered by AdWords Scripts</div>',
 '</td>',
 '</tr>',
 "<tr bgcolor='#3c78d8'>",
 '<td width=500>',
 "<div style='font: normal 18pt verdana, sans-serif; " +
 "padding: 3px 10px; color: white'>Adwords data load to " +
 "Bigquery report</div>",
 '</td>',
 '<td align=right>',
 "<div style='font: normal 18pt verdana, sans-serif; " +
 "padding: 3px 10px; color: white'>",
 AdWordsApp.currentAccount().getCustomerId(),
 '</tr>',
 '</table>',
 '<table width=800 cellpadding=0 border=1 cellspacing=0>',
 "<tr bgcolor='#ddd'>",
 "<td style='font: 12pt verdana, sans-serif; " +
 'padding: 5px 0px 5px 5px; background-color: #ddd; ' +
 "text-align: left'>Report</td>",
 "<td style='font: 12pt verdana, sans-serif; " +
 'padding: 5px 0px 5px 5px; background-color: #ddd; ' +
 "text-align: left'>JobId</td>",
 "<td style='font: 12pt verdana, sans-serif; " +
 'padding: 5px 0px 5x 5px; background-color: #ddd; ' +
 "text-align: left'>Rows</td>",
 "<td style='font: 12pt verdana, sans-serif; " +
 'padding: 5px 0px 5x 5px; background-color: #ddd; ' +
 "text-align: left'>State</td>", 
 "<td style='font: 12pt verdana, sans-serif; " +
 'padding: 5px 0px 5x 5px; background-color: #ddd; ' +
 "text-align: left'>ErrorResult</td>",
 '</tr>',
 createTableRows(jobIds),
 '</table>',
 '</body>',
 '</html>');
 
 MailApp.sendEmail(CONFIG.RECIPIENT_EMAILS.join(','),
 'Adwords data load to Bigquery Complete', '',
 {htmlBody: html.join('\n')});
}
 
/**
 * Creates table rows for email report.
 *
 * @param {Array.<string>} jobIds The list of all job ids.
 */
function createTableRows(jobIds) {
 var html = [];
 for (var i = 0; i < jobIds.length; i++) {
 var jobId = jobIds[i];
 var job = BigQuery.Jobs.get(CONFIG.BIGQUERY_PROJECT_ID, jobId);
 var errorResult = ''
 if (job.status.errorResult) {
 errorResult = job.status.errorResult;
 }
 
 html.push('<tr>',
 "<td style='padding: 0px 10px'>" +
 job.configuration.load.destinationTable.tableId + '</td>',
 "<td style='padding: 0px 10px'>" + jobId + '</td>',
 "<td style='padding: 0px 10px'>" + job.statistics.load?job.statistics.load.outputRows:0 + '</td>',
 "<td style='padding: 0px 10px'>" + job.status.state + '</td>',
 "<td style='padding: 0px 10px'>" + errorResult + '</td>',
 '</tr>');
 }
 return html.join('\n');
}
    

How to connect data download from Google Ads to OWOX BI

Useful tips

    
SELECT 
ExternalCustomerId
FROM `project_name.dataset_name.Customer_*`
WHERE _PARTITIONTIME >= "2020-01-01 00:00:00" AND _PARTITIONTIME < "2020-07-10 00:00:00"
group by 1
    

    
SELECT
{source language="sql"}
  c.ExternalCustomerId,
  c.CampaignName,
  c.CampaignStatus,
  SUM(cs.Impressions) AS Impressions,
  SUM(cs.Interactions) AS Interactions,
{/source}
  (SUM(cs.Cost) / 1000000) AS Cost
FROM
  `[DATASET].Campaign_[CUSTOMER_ID]` c
LEFT JOIN
{source language="sql"}
{source language="sql"}
  `[DATASET].CampaignBasicStats_[CUSTOMER_ID]` cs
ON
  (c.CampaignId = cs.CampaignId
   AND cs._DATA_DATE BETWEEN
   DATE_ADD(CURRENT_DATE(), INTERVAL -31 DAY) AND DATE_ADD(CURRENT_DATE(), INTERVAL -1 DAY))
WHERE
  c._DATA_DATE = c._LATEST_DATE
GROUP BY
  1, 2, 3
ORDER BY
  Impressions DESC