【GAS】PageSpeed Insightsの「スコア」と「ラボデータ」を取得する関数

function reviewPageSpeed( url, apiKey, isMobile ) {
  const STRATEGY     = isMobile ? '&strategy=mobile' : '&strategy=desktop';
  const INSIGHTS_URL = 'https://www.googleapis.com/pagespeedonline/v5/runPagespeed'
    + '?url=' + encodeURIComponent( url )
    + '&key=' + apiKey
    + STRATEGY
  ;
  
  const RESPONSE_DATA     = UrlFetchApp.fetch( INSIGHTS_URL );
  const PARSED_DATA       = JSON.parse( RESPONSE_DATA.getContentText() );
  const LIGHTHOUSE_RESULT = PARSED_DATA.lighthouseResult;
  const AUDITS            = LIGHTHOUSE_RESULT.audits;
  
  return {
    score: LIGHTHOUSE_RESULT.categories['performance'].score,
    laboratory: {
      firstContentfulPaint : AUDITS['first-contentful-paint'].displayValue,
      speedIndex           : AUDITS['speed-index'].displayValue,
      interactive          : AUDITS['interactive'].displayValue,
      firstMeaningfulPaint : AUDITS['first-meaningful-paint'].displayValue,
      firstCpuIdle         : AUDITS['first-cpu-idle'].displayValue,
      estimatedInputLatency: AUDITS['estimated-input-latency'].displayValue,
    },
  };  
}

const URL            = 'https://sample.com';
const API_KEY        = '…'
const PAGESPEED_DATA = reviewPageSpeed( URL, API_KEY, true );
const LABORATORY     = PAGESPEED_DATA.laboratory;

const OUTPUT_DATA = 
    '\n【スコア】' + '\n'
  + PAGESPEED_DATA.score + '\n'
  + '【ラボデータ】' + '\n'
  + 'コンテンツの初回ペイント: ' + LABORATORY.firstContentfulPaint + '\n'
  + '速度インデックス: ' + LABORATORY.speedIndex + '\n'
  + 'インタラクティブになるまでの時間: ' + LABORATORY.interactive + '\n'
  + '意味のあるコンテンツの初回ペイント: ' + LABORATORY.firstMeaningfulPaint + '\n'
  + 'CPUの初回アイドル: ' + LABORATORY.firstCpuIdle + '\n'
  + '入力の推定待ち時間: ' + LABORATORY.estimatedInputLatency
;

Logger.log( OUTPUT_DATA );