Apps 脚本代码示例

如需运行代码示例，您需要在 Apps Script 中启用 YouTube Data API 和 YouTube Analytics API (v2)。Data API 快速入门介绍了如何添加服务。

将 YouTube 数据分析数据导出到 Google 表格

此函数使用 YouTube Analytics API 提取有关已通过身份验证的用户频道的数据，并使用这些数据在用户的云端硬盘中创建一个新的 Google 表格。

此示例的前一部分演示了简单的 YouTube 数据分析 API 调用。此函数会先提取活跃用户的频道 ID。该函数使用该 ID 发出 YouTube Analytics API 调用，以检索过去 30 天的观看次数、赞过次数、不赞过次数和分享次数。该 API 会在包含二维数组的响应对象中返回数据。

示例的第二部分会构建一个电子表格。此电子表格会放入已通过身份验证的用户的 Google 云端硬盘中，标题为“YouTube 报告”，并包含日期范围。该函数会使用 API 响应填充电子表格，然后锁定用于定义图表轴的列和行。系统会为电子表格添加一个堆叠柱形图。

  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);
  
  }