開始使用 PageSpeed Insights API

使用 PageSpeed Insights API 進行以下操作:

  • 評估網頁成效。
  • 取得建議,瞭解如何改善網頁的效能、無障礙功能和 SEO。
  • 瞭解如何將網頁轉換為漸進式網頁應用程式

PageSpeed Insights API 會傳回 Chrome 使用者體驗報告的實際資料,以及 Lighthouse 的研究室資料。

必備條件

本教學課程假設您具備指令列介面和網頁開發的一般知識。

選用:設定 API 金鑰

如果您只是試用 PageSpeed Insights API,就不需要 API 金鑰。如果您打算以自動的方式使用 API,並每秒進行多次查詢,則需要 API 金鑰。

取得並使用 API 金鑰

取得金鑰

或在「憑證」頁面中建立。

取得 API 金鑰後,應用程式可以將查詢參數 key=yourAPIKey 附加到所有要求網址。

API 金鑰可以安全地嵌入網址中,不需任何編碼。

API Explorer

如想在不編寫任何程式碼的情況下呼叫 PageSpeed Insights API,請使用 API Explorer

CURL

如何透過指令列試用 PageSpeed Insights API:

  1. 開啟終端機。
  2. 執行下列指令。如果您使用的是 API 金鑰,請附加 &key=yourAPIKey

    curl https://www.googleapis.com/pagespeedonline/v5/runPagespeed?url=https://developers.google.com
    

    回應是 JSON 物件。如要進一步瞭解回應物件中的每個屬性,請參閱回應

    {
     "captchaResult": "CAPTCHA_NOT_NEEDED",
     "kind": "pagespeedonline#result",
     "id": "https://developers.google.com/",
     "loadingExperience": {
      "id": "https://developers.google.com/",
      "metrics": {
       "FIRST_CONTENTFUL_PAINT_MS": {
        "percentile": 3482,
        "distributions": [
         {
          "min": 0,
          "max": 1000,
          "proportion": 0.37151728768042963
         },
         {
          "min": 1000,
          "max": 2500,
          "proportion": 0.4244153519077991
         },
         {
          "min": 2500,
          "proportion": 0.2040673604117713
         }
        ],
        "category": "SLOW"
       },
       "FIRST_INPUT_DELAY_MS": {
        "percentile": 36,
        "distributions": [
         {
          "min": 0,
          "max": 50,
          "proportion": 0.960628961482204
         },
         {
          "min": 50,
          "max": 250,
          "proportion": 0.02888834714773281
         },
         {
          "min": 250,
          "proportion": 0.010482691370063388
         }
        ],
        "category": "FAST"
       }
      },
      "overall_category": "SLOW",
      "initial_url": "https://developers.google.com/"
     },
     "originLoadingExperience": {
      "id": "https://developers.google.com",
      "metrics": {
       "FIRST_CONTENTFUL_PAINT_MS": {
        "percentile": 2761,
        "distributions": [
         {
          "min": 0,
          "max": 1000,
          "proportion": 0.4236433226493666
         },
         {
          "min": 1000,
          "max": 2500,
          "proportion": 0.45045120795679117
         },
         {
          "min": 2500,
          "proportion": 0.1259054693938423
         }
        ],
        "category": "SLOW"
       },
       "FIRST_INPUT_DELAY_MS": {
        "percentile": 45,
        "distributions": [
         {
          "min": 0,
          "max": 50,
          "proportion": 0.9537371485251699
         },
         {
          "min": 50,
          "max": 250,
          "proportion": 0.03044972719889055
         },
         {
          "min": 250,
          "proportion": 0.01581312427593959
         }
        ],
        "category": "FAST"
       }
      },
      "overall_category": "SLOW",
      "initial_url": "https://developers.google.com/"
     },
     "lighthouseResult": {
      "requestedUrl": "https://developers.google.com/",
      "finalUrl": "https://developers.google.com/",
      "lighthouseVersion": "3.2.0",
      "userAgent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) HeadlessChrome/72.0.3584.0 Safari/537.36",
      "fetchTime": "2018-11-01T03:03:58.394Z",
      "environment": {
       "networkUserAgent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3559.0 Safari/537.36",
       "hostUserAgent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) HeadlessChrome/72.0.3584.0 Safari/537.36",
       "benchmarkIndex": 590.0
      },
      "runWarnings": [],
      "configSettings": {
       "emulatedFormFactor": "desktop",
       "locale": "en-US",
       "onlyCategories": [
        "performance"
       ]
      },
      "audits": {
       "estimated-input-latency": {
        "id": "estimated-input-latency",
        "title": "Estimated Input Latency",
        "description": "The score above is an estimate of how long your app takes to respond to user input, in milliseconds, during the busiest 5s window of page load. If your latency is higher than 50 ms, users may perceive your app as laggy. [Learn more](https://developers.google.com/web/tools/lighthouse/audits/estimated-input-latency).",
        "score": 1.0,
        "scoreDisplayMode": "numeric",
        "displayValue": "30 ms"
       },
       "uses-rel-preconnect": {
        "id": "uses-rel-preconnect",
        "title": "Preconnect to required origins",
        "description": "Consider adding preconnect or dns-prefetch resource hints to establish early connections to important third-party origins. [Learn more](https://developers.google.com/web/fundamentals/performance/resource-prioritization#preconnect).",
        "score": 1.0,
        "scoreDisplayMode": "numeric",
        "details": {
         "headings": [],
         "type": "opportunity",
         "items": [],
         "overallSavingsMs": 0.0
        }
       },
       ...
      },
      "categories": {
       "performance": {
        "id": "performance",
        "title": "Performance",
        "score": 0.96,
        "auditRefs": [
         {
          "id": "first-contentful-paint",
          "weight": 3.0,
          "group": "metrics"
         },
         {
          "id": "first-meaningful-paint",
          "weight": 1.0,
          "group": "metrics"
         },
         ...
        ]
       }
      },
      "categoryGroups": {
       "a11y-element-names": {
        "title": "Elements Have Discernible Names",
        "description": "These are opportunities to improve the semantics of the controls in your application. This may enhance the experience for users of assistive technology, like a screen reader."
       },
       "a11y-language": {
        "title": "Page Specifies Valid Language",
        "description": "These are opportunities to improve the interpretation of your content by users in different locales."
       },
       ...
      },
      "i18n": {
       "rendererFormattedStrings": {
        "varianceDisclaimer": "Values are estimated and may vary.",
        "opportunityResourceColumnLabel": "Opportunity",
        "opportunitySavingsColumnLabel": "Estimated Savings",
        "errorMissingAuditInfo": "Report error: no audit information",
        "errorLabel": "Error!",
        "warningHeader": "Warnings: ",
        "auditGroupExpandTooltip": "Show audits",
        "passedAuditsGroupTitle": "Passed audits",
        "notApplicableAuditsGroupTitle": "Not applicable",
        "manualAuditsGroupTitle": "Additional items to manually check",
        "toplevelWarningsMessage": "There were issues affecting this run of Lighthouse:",
        "scorescaleLabel": "Score scale:",
        "crcLongestDurationLabel": "Maximum critical path latency:",
        "crcInitialNavigation": "Initial Navigation",
        "lsPerformanceCategoryDescription": "[Lighthouse](https://developers.google.com/web/tools/lighthouse/) analysis of the current page on an emulated mobile network. Values are estimated and may vary.",
        "labDataTitle": "Lab Data"
       }
      }
     },
     "analysisUTCTimestamp": "2018-11-01T03:03:58.394Z"
    }
    

JavaScript

如何透過 JavaScript 試用 PageSpeed Insights API:

  1. 請複製下方的程式碼。程式碼會使用 PageSpeed Insights API 評估 https://developers.google.com 的效能,然後顯示結果。

    <script>
    function run() {
      const url = setUpQuery();
      fetch(url)
        .then(response => response.json())
        .then(json => {
          // See https://developers.google.com/speed/docs/insights/v5/reference/pagespeedapi/runpagespeed#response
          // to learn more about each of the properties in the response object.
          showInitialContent(json.id);
          const cruxMetrics = {
            "First Contentful Paint": json.loadingExperience.metrics.FIRST_CONTENTFUL_PAINT_MS.category,
            "First Input Delay": json.loadingExperience.metrics.FIRST_INPUT_DELAY_MS.category
          };
          showCruxContent(cruxMetrics);
          const lighthouse = json.lighthouseResult;
          const lighthouseMetrics = {
            'First Contentful Paint': lighthouse.audits['first-contentful-paint'].displayValue,
            'Speed Index': lighthouse.audits['speed-index'].displayValue,
            'Time To Interactive': lighthouse.audits['interactive'].displayValue,
            'First Meaningful Paint': lighthouse.audits['first-meaningful-paint'].displayValue,
            'First CPU Idle': lighthouse.audits['first-cpu-idle'].displayValue,
            'Estimated Input Latency': lighthouse.audits['estimated-input-latency'].displayValue
          };
          showLighthouseContent(lighthouseMetrics);
        });
    }
    
    function setUpQuery() {
      const api = 'https://www.googleapis.com/pagespeedonline/v5/runPagespeed';
      const parameters = {
        url: encodeURIComponent('https://developers.google.com')
      };
      let query = `${api}?`;
      for (key in parameters) {
        query += `${key}=${parameters[key]}`;
      }
      return query;
    }
    
    function showInitialContent(id) {
      document.body.innerHTML = '';
      const title = document.createElement('h1');
      title.textContent = 'PageSpeed Insights API Demo';
      document.body.appendChild(title);
      const page = document.createElement('p');
      page.textContent = `Page tested: ${id}`;
      document.body.appendChild(page);
    }
    
    function showCruxContent(cruxMetrics) {
      const cruxHeader = document.createElement('h2');
      cruxHeader.textContent = "Chrome User Experience Report Results";
      document.body.appendChild(cruxHeader);
      for (key in cruxMetrics) {
        const p = document.createElement('p');
        p.textContent = `${key}: ${cruxMetrics[key]}`;
        document.body.appendChild(p);
      }
    }
    
    function showLighthouseContent(lighthouseMetrics) {
      const lighthouseHeader = document.createElement('h2');
      lighthouseHeader.textContent = "Lighthouse Results";
      document.body.appendChild(lighthouseHeader);
      for (key in lighthouseMetrics) {
        const p = document.createElement('p');
        p.textContent = `${key}: ${lighthouseMetrics[key]}`;
        document.body.appendChild(p);
      }
    }
    
    run();
    </script>
    
  2. 將程式碼貼到 HTML 檔案中。
  3. 在瀏覽器中開啟 HTML 檔案。成功完成後,頁面看起來會像這樣:圖 1

    圖 1. JavaScript 示範

後續步驟

意見回饋:

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