Lighthouse melalui CLI dan Secara Terprogram
Pelajari cara menjalankan audit Lighthouse dari baris perintah dan mengintegrasikan API-nya ke dalam skrip serta aplikasi khusus.
Lighthouse melalui CLI dan Secara Terprogram adalah pelajaran Web Performance Optimization & Lighthouse gratis di CoddyKit. Ini adalah pelajaran 1 dari 4. Kamu bisa membaca pelajaran lengkapnya di bawah secara gratis — lalu praktikkan langsung di browser dengan editor kode bawaan dan tutor AI 24/7. Ini adalah bagian dari jalur belajar Web Performance Optimization & Lighthouse, dan progresmu tersinkronisasi di web dan aplikasi CoddyKit. Kursus Web Performance Optimization & Lighthouse mencakup 4 pelajaran total.
Bagian dari pelajaran ini belum diterjemahkan dan ditampilkan dalam bahasa Inggris.
Beyond the Browser
You've likely used Lighthouse in your browser's DevTools. But what if you want to run audits automatically or integrate them into your workflow?
This lesson explores how to use Lighthouse from the command line (CLI) for quick checks and programmatically via its Node.js API for advanced automation.
Automate & Integrate
Running Lighthouse from the CLI or programmatically opens up powerful possibilities:
- Automation: Schedule regular audits without manual intervention.
- CI/CD Integration: Catch performance regressions early in your development pipeline.
- Custom Reports: Generate reports tailored to your specific needs.
- Large-Scale Testing: Audit many pages efficiently across a website.
Get Lighthouse CLI
To use Lighthouse from the command line, you need Node.js installed on your system. Once Node.js is ready, you can install the Lighthouse CLI globally using npm:
npm install -g lighthouse
This command makes the lighthouse command available directly in your terminal, allowing you to run audits from any directory.
Run a Basic CLI Audit
With Lighthouse CLI installed, running an audit is straightforward. Just provide the URL you want to test. By default, it outputs a summary to the console and generates an HTML report.
lighthouse https://www.example.com
This will launch a headless Chrome instance, run the audit, and then generate an HTML report file in your current directory named after the URL.
Choose Your Output
The Lighthouse CLI can generate reports in different formats. You can specify the output type and path using flags:
--output html: Generates a user-friendly HTML report (default).--output json: Provides raw audit data in JSON format for parsing.--output csv: Exports a summary of key metrics as a CSV file.
Try running an audit and saving the output as JSON:
lighthouse https://www.example.com --output json --output-path ./report.json
Customize Your Audit
You can fine-tune your audits with various options to simulate different user conditions or focus on specific aspects:
--throttling-preset: Simulates different network and CPU conditions (e.g.,mobile,desktop).--only-categories: Focuses the audit on specific categories (e.g.,performance,accessibility).
Example: Audit only performance for a desktop user:
lighthouse https://www.example.com --throttling-preset desktop --only-categories performance
Lighthouse as an API
For deeper integration and more control, Lighthouse offers a Node.js API. This allows you to embed Lighthouse directly into your JavaScript applications, giving you full control over the audit process and access to the raw results.
It typically uses Puppeteer, a Node library, to programmatically control a headless Chrome browser instance for the audit.
Basic Programmatic Audit
Let's create a simple Node.js script to run a Lighthouse audit. First, ensure you have lighthouse and chrome-launcher installed in your project:
npm install lighthouse chrome-launcher
Then, create a .js file (e.g., audit.js) with the following code:
const lighthouse = require('lighthouse');
const chromeLauncher = require('chrome-launcher');
async function runLighthouseAudit(url) {
// Launch a headless Chrome instance
const chrome = await chromeLauncher.launch({
chromeFlags: ['--headless']
});
// Configure Lighthouse options
const options = {
logLevel: 'info',
output: 'json',
port: chrome.port // Connect to the launched Chrome instance
};
// Run Lighthouse audit
const runnerResult = await lighthouse(url, options);
console.log('Audit complete for %s', runnerResult.lhr.finalUrl);
console.log('Performance score: %s', runnerResult.lhr.categories.performance.score * 100);
// Kill the Chrome instance
await chrome.kill();
}
// Call the function with a URL to audit
runLighthouseAudit('https://www.example.com');Extracting Audit Data
The runnerResult object contains a wealth of data about the audit (lhr stands for Lighthouse Result). You can programmatically access scores, specific audit details, and more.
Here's how to extract the Performance score and First Contentful Paint (FCP) value from the results:
const lighthouse = require('lighthouse');
const chromeLauncher = require('chrome-launcher');
async function extractAuditData(url) {
const chrome = await chromeLauncher.launch({
chromeFlags: ['--headless']
});
const options = {
port: chrome.port
};
const runnerResult = await lighthouse(url, options);
// Access the overall performance score
const performanceScore = runnerResult.lhr.categories.performance.score * 100;
// Access a specific audit result by its ID (e.g., First Contentful Paint)
const fcpAudit = runnerResult.lhr.audits['first-contentful-paint'];
console.log(`Performance Score: ${performanceScore}%`);
console.log(`First Contentful Paint: ${fcpAudit.displayValue}`);
await chrome.kill();
}
extractAuditData('https://www.example.com');When to Use What?
You've learned about both CLI and programmatic Lighthouse. Which of the following are ideal use cases for using Lighthouse programmatically (via its Node.js API)?
Recap: CLI & API Power
Great job! You've explored the power of Lighthouse beyond the browser.
- The Lighthouse CLI is perfect for quick, on-demand audits and simple report generation directly from your terminal.
- The Lighthouse Node.js API provides deep integration capabilities, enabling automation, custom reporting, and embedding performance checks into complex applications and workflows.
These tools are essential for maintaining and improving web performance at scale and integrating audits into your development process.
Pertanyaan yang Sering Diajukan
Apakah pelajaran “Lighthouse melalui CLI dan Secara Terprogram” gratis?
Ya — teks lengkap “Lighthouse melalui CLI dan Secara Terprogram” gratis dibaca di sini di web. Untuk praktiknya secara interaktif (editor kode bawaan dan tutor AI 24/7) dan buka sisa kursus Web Performance Optimization & Lighthouse, upgrade ke CoddyKit PRO. Kursus Web Performance Optimization & Lighthouse mencakup 4 pelajaran total.
Apa yang akan aku pelajari di “Lighthouse melalui CLI dan Secara Terprogram”?
Pelajari cara menjalankan audit Lighthouse dari baris perintah dan mengintegrasikan API-nya ke dalam skrip serta aplikasi khusus. Kamu berlatih Web Performance Optimization & Lighthouse dengan kode praktik yang langsung kamu jalankan di browser, dan tutor AI 24/7 menjawab pertanyaanmu saat kamu mengerjakan pelajaran ini.
Apakah aku perlu pengalaman untuk memulai Web Performance Optimization & Lighthouse?
Tidak diperlukan pengalaman sebelumnya. Web Performance Optimization & Lighthouse di CoddyKit dirancang untuk pemula hingga pelajar tingkat lanjut, jadi kamu bisa memulai di sini atau dari awal dan belajar sesuai kecepatan kamu sendiri. Ini adalah pelajaran 1 dari 4.
Berapa lama pelajaran “Lighthouse melalui CLI dan Secara Terprogram” memakan waktu?
Sebagian besar pelajaran CoddyKit memakan waktu sekitar 5–10 menit. Setiap pelajaran ringkas dan interaktif, jadi kamu membuat kemajuan stabil dan melanjutkan dari tempat kamu tinggalkan di web dan aplikasi.
Bisakah aku menulis dan menjalankan kode dalam pelajaran Web Performance Optimization & Lighthouse ini?
Ya. Setiap pelajaran Web Performance Optimization & Lighthouse menyertakan editor kode bawaan, jadi kamu menulis dan menjalankan kode nyata langsung di browser dan mendapatkan umpan balik AI instan — tidak diperlukan penyiapan lokal.
Semua pelajaran dalam kursus ini
- Lighthouse melalui CLI dan Secara Terprogram
- Audit dan Pernyataan Khusus
- Mengintegrasikan Lighthouse ke dalam CI/CD
- Anggaran Performa dengan Lighthouse