Apps Script 코드 샘플
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코드 샘플을 실행하려면 Apps Script에서 YouTube Data API 및 YouTube Analytics API (v2)를 사용 설정해야 합니다. Data API 빠른 시작에서는 서비스를 추가하는 방법을 설명합니다.
YouTube 분석 데이터를 Google Sheets로 내보내기
이 함수는 YouTube Analytics API를 사용하여 인증된 사용자의 채널에 대한 데이터를 가져와 사용자의 Drive에 데이터가 포함된 새 Google 시트를 만듭니다.
이 샘플의 첫 번째 부분에서는 간단한 YouTube 분석 API 호출을 보여줍니다. 이 함수는 먼저 활성 사용자의 채널 ID를 가져옵니다. 이 ID를 사용하여 함수는 YouTube 분석 API를 호출하여 지난 30일 동안의 조회수, 좋아요, 싫어요, 공유 수를 가져옵니다. API는 2D 배열이 포함된 응답 객체의 데이터를 반환합니다.
샘플의 두 번째 부분에서는 스프레드시트를 생성합니다. 이 스프레드시트는 인증된 사용자의 Google Drive에 'YouTube 보고서'라는 이름으로 저장되며 제목에 기간이 표시됩니다. 이 함수는 스프레드시트를 API 응답으로 채운 다음 차트 축을 정의할 열과 행을 잠급니다. 스프레드시트에 누적 열 차트가 추가됩니다.
function spreadsheetAnalytics() {
// Get the channel ID
var myChannels = YouTube.Channels.list('id', {mine: true});
var channel = myChannels.items[0];
var channelId = channel.id;
// Set the dates for our report
var today = new Date();
var oneMonthAgo = new Date();
oneMonthAgo.setMonth(today.getMonth() - 1);
var todayFormatted = Utilities.formatDate(today, 'UTC', 'yyyy-MM-dd')
var oneMonthAgoFormatted = Utilities.formatDate(oneMonthAgo, 'UTC', 'yyyy-MM-dd');
// The YouTubeAnalytics.Reports.query() function has four required parameters and one optional
// parameter. The first parameter identifies the channel or content owner for which you are
// retrieving data. The second and third parameters specify the start and end dates for the
// report, respectively. The fourth parameter identifies the metrics that you are retrieving.
// The fifth parameter is an object that contains any additional optional parameters
// (dimensions, filters, sort, etc.) that you want to set.
var analyticsResponse = YouTubeAnalytics.Reports.query({
"startDate": oneMonthAgoFormatted,
"endDate": todayFormatted,
"ids": "channel==" + channelId,
"dimensions": "day",
"sort": "-day",
"metrics": "views,likes,dislikes,shares"
});
// Create a new Spreadsheet with rows and columns corresponding to our dates
var ssName = 'YouTube channel report ' + oneMonthAgoFormatted + ' - ' + todayFormatted;
var numRows = analyticsResponse.rows.length;
var numCols = analyticsResponse.columnHeaders.length;
// Add an extra row for column headers
var ssNew = SpreadsheetApp.create(ssName, numRows + 1, numCols);
// Get the first sheet
var sheet = ssNew.getSheets()[0];
// Get the range for the title columns
// Remember, spreadsheets are 1-indexed, whereas arrays are 0-indexed
var headersRange = sheet.getRange(1, 1, 1, numCols);
var headers = [];
// These column headers will correspond with the metrics requested
// in the initial call: views, likes, dislikes, shares
for(var i in analyticsResponse.columnHeaders) {
var columnHeader = analyticsResponse.columnHeaders[i];
var columnName = columnHeader.name;
headers[i] = columnName;
}
// This takes a 2 dimensional array
headersRange.setValues([headers]);
// Bold and freeze the column names
headersRange.setFontWeight('bold');
sheet.setFrozenRows(1);
// Get the data range and set the values
var dataRange = sheet.getRange(2, 1, numRows, numCols);
dataRange.setValues(analyticsResponse.rows);
// Bold and freeze the dates
var dateHeaders = sheet.getRange(1, 1, numRows, 1);
dateHeaders.setFontWeight('bold');
sheet.setFrozenColumns(1);
// Include the headers in our range. The headers are used
// to label the axes
var range = sheet.getRange(1, 1, numRows, numCols);
var chart = sheet.newChart()
.asColumnChart()
.setStacked()
.addRange(range)
.setPosition(4, 2, 10, 10)
.build();
sheet.insertChart(chart);
}
달리 명시되지 않는 한 이 페이지의 콘텐츠에는 Creative Commons Attribution 4.0 라이선스에 따라 라이선스가 부여되며, 코드 샘플에는 Apache 2.0 라이선스에 따라 라이선스가 부여됩니다. 자세한 내용은 Google Developers 사이트 정책을 참조하세요. 자바는 Oracle 및/또는 Oracle 계열사의 등록 상표입니다.
최종 업데이트: 2025-08-21(UTC)
[null,null,["최종 업데이트: 2025-08-21(UTC)"],[[["\u003cp\u003eThis guide explains how to enable the YouTube Data API and YouTube Analytics API to run code samples within Apps Script.\u003c/p\u003e\n"],["\u003cp\u003eThe provided Apps Script function exports YouTube Analytics data, such as views, likes, dislikes, and shares, for the authenticated user's channel over the last 30 days.\u003c/p\u003e\n"],["\u003cp\u003eThe exported data is automatically populated into a new Google Sheet in the user's Drive, formatted with a stacked column chart for visualization.\u003c/p\u003e\n"],["\u003cp\u003eThe Google Sheet is named with 'YouTube Report' and the specified date range for the data.\u003c/p\u003e\n"]]],["The provided code exports YouTube Analytics data to a Google Sheet. It first retrieves the user's channel ID and then uses the YouTube Analytics API to query views, likes, dislikes, and shares for the past 30 days. It generates a new Google Sheet named \"YouTube Report,\" populates it with the API response data, including column headers for the metrics, locks the headers, and then generates a stacked column chart. Finally, it inserts the chart in the report.\n"],null,["# Apps Script Code Samples\n\nTo run code samples, you need to enable the YouTube Data API and YouTube Analytics API (v2) in Apps Script. The [Data API quickstart](https://developers.google.com/youtube/v3/quickstart/apps-script) explains how to add a service.\n\nExport YouTube Analytics data to Google Sheets\n----------------------------------------------\n\nThis function uses the YouTube Analytics API to fetch data about the authenticated user's channel, creating a new Google Sheet in the user's Drive with the data. \n\nThe first part of this sample demonstrates a simple YouTube Analytics API call. This function first fetches the active user's channel ID. Using that ID, the function makes a YouTube Analytics API call to retrieve views, likes, dislikes and shares for the last 30 days. The API returns the data in a response object that contains a 2D array. \n\nThe second part of the sample constructs a Spreadsheet. This spreadsheet is placed in the authenticated user's Google Drive with the name 'YouTube Report' and date range in the title. The function populates the spreadsheet with the API response, then locks columns and rows that will define a chart axes. A stacked column chart is added for the spreadsheet. \n\n```transact-sql\n function spreadsheetAnalytics() {\n // Get the channel ID\n var myChannels = YouTube.Channels.list('id', {mine: true});\n var channel = myChannels.items[0];\n var channelId = channel.id;\n \n // Set the dates for our report\n var today = new Date();\n var oneMonthAgo = new Date();\n oneMonthAgo.setMonth(today.getMonth() - 1);\n var todayFormatted = Utilities.formatDate(today, 'UTC', 'yyyy-MM-dd')\n var oneMonthAgoFormatted = Utilities.formatDate(oneMonthAgo, 'UTC', 'yyyy-MM-dd');\n \n // The YouTubeAnalytics.Reports.query() function has four required parameters and one optional\n // parameter. The first parameter identifies the channel or content owner for which you are\n // retrieving data. The second and third parameters specify the start and end dates for the\n // report, respectively. The fourth parameter identifies the metrics that you are retrieving.\n // The fifth parameter is an object that contains any additional optional parameters\n // (dimensions, filters, sort, etc.) that you want to set.\n var analyticsResponse = YouTubeAnalytics.Reports.query({\n \"startDate\": oneMonthAgoFormatted,\n \"endDate\": todayFormatted,\n \"ids\": \"channel==\" + channelId,\n \"dimensions\": \"day\",\n \"sort\": \"-day\",\n \"metrics\": \"views,likes,dislikes,shares\"\n });\n \n // Create a new Spreadsheet with rows and columns corresponding to our dates\n var ssName = 'YouTube channel report ' + oneMonthAgoFormatted + ' - ' + todayFormatted;\n var numRows = analyticsResponse.rows.length;\n var numCols = analyticsResponse.columnHeaders.length;\n \n // Add an extra row for column headers\n var ssNew = SpreadsheetApp.create(ssName, numRows + 1, numCols);\n \n // Get the first sheet\n var sheet = ssNew.getSheets()[0];\n \n // Get the range for the title columns\n // Remember, spreadsheets are 1-indexed, whereas arrays are 0-indexed\n var headersRange = sheet.getRange(1, 1, 1, numCols);\n var headers = [];\n \n // These column headers will correspond with the metrics requested\n // in the initial call: views, likes, dislikes, shares\n for(var i in analyticsResponse.columnHeaders) {\n var columnHeader = analyticsResponse.columnHeaders[i];\n var columnName = columnHeader.name;\n headers[i] = columnName;\n }\n // This takes a 2 dimensional array\n headersRange.setValues([headers]);\n \n // Bold and freeze the column names\n headersRange.setFontWeight('bold');\n sheet.setFrozenRows(1);\n \n // Get the data range and set the values\n var dataRange = sheet.getRange(2, 1, numRows, numCols);\n dataRange.setValues(analyticsResponse.rows);\n \n // Bold and freeze the dates\n var dateHeaders = sheet.getRange(1, 1, numRows, 1);\n dateHeaders.setFontWeight('bold');\n sheet.setFrozenColumns(1);\n \n // Include the headers in our range. The headers are used\n // to label the axes\n var range = sheet.getRange(1, 1, numRows, numCols);\n var chart = sheet.newChart()\n .asColumnChart()\n .setStacked()\n .addRange(range)\n .setPosition(4, 2, 10, 10)\n .build();\n sheet.insertChart(chart);\n \n }\n```"]]