Playwright vs. Puppeteer: Which One to Choose for Browser Automation?

Playwright and Puppeteer are two of the most popular solutions for browser automation, which is the process of simulating user-specific tasks on a web browser.

In recent years, browser automation has become a core tool for everything from automating internal tools to web scraping to E2E tests, and has led to the birth of several different automation platforms and libraries – including the two compared below.

In this guide, you'll see how Playwright and Puppeteer differ on browser support, API design, performance, scraping, and AI agent tooling – with working code for both, so you can pick one and get a script running today.

A brief introduction to the history of browser automation

Browser automation is not a new concept. It started in the 2000s with the need for a reliable testing framework to simulate user interactions within a web application's UI interface.

One of the first pioneers in the market was Selenium, which originated in 2004 and was created by ThoughtWorks. It was the de facto choice for a long time – nearly a decade, in fact.

However, it wasn't without its flaws. Selenium tests were flaky, unstable, and resource-heavy (the Selenium driver had to rely on full-blown browser instances).

Eventually, the idea of a headless browser – a browser that runs without rendering a visible window – was introduced to tackle those issues. PhantomJS was the best-known early example, though it was deprecated by its author in 2018.

The browser automation market took off in the early 2010s, when browser-based SaaS apps became the standard for software applications. Then, in 2017, both Chrome and Firefox shipped interfaces for remote-controlling browser instances, which is the foundation both Puppeteer and Playwright are built on.

It didn't take long for companies to begin benefiting from browser automation practices, which gave rise to several browser automation services, such as Browserless, and libraries such as Puppeteer and Playwright.

If Selenium is still part of your evaluation, we've covered that separate comparison in Playwright vs. Selenium.

Puppeteer: headless Chrome Node.js API

Let's dive deeper into browser automation with Puppeteer.

Puppeteer is a popular open-source JavaScript library, released a few months after the launch of headless Chrome in 2017 having been developed by the Chrome DevTools team. It counts more than 95,000 stars on GitHub and is actively maintained.

The library can drive Chrome, Chromium (the open source version of Chrome), or Firefox. It is distributed as an NPM package, which also downloads a compatible version of Chromium.

In cases where you don't need a local browser – like connecting to a remote browser – you can use the puppeteer-core package, which provides all the functionalities of Puppeteer without downloading the browser, resulting in reduced dependencies and final project size.

Puppeteer was created to be an automation tool. It has a relatively simple API and, in terms of performance, is fast because it drives the browser over the Chrome DevTools Protocol on a plain WebSocket, with no WebDriver layer in between.

To demonstrate how easy it is to get started, we're going to scrape some basic info from a YouTube video. The only Browserless-specific line is the browserWSEndpoint – swap puppeteer.launch() for puppeteer.connect() and point it at your regional endpoint. See the Puppeteer connection docs for the full list of query parameters.

We've already covered scraping YouTube videos with Puppeteer in more depth.

import puppeteer from "puppeteer-core";

const BROWSERLESS_API_TOKEN = "YOUR_API_TOKEN_HERE";

async function getYoutubeVideoStatistics(videoURL) {
  const browser = await puppeteer.connect({
    browserWSEndpoint: `wss://production-sfo.browserless.io/chromium?token=${BROWSERLESS_API_TOKEN}`,
  });

  try {
    const page = await browser.newPage();
    await page.goto(videoURL, { waitUntil: "domcontentloaded" });

    const titleElement = await page.waitForSelector(
      "h1.ytd-watch-metadata yt-formatted-string",
    );
    const title = await titleElement.evaluate((el) => el.textContent.trim());

    const viewCountElement = await page.waitForSelector("span.view-count");
    const views = await viewCountElement.evaluate((el) => el.textContent.trim());

    const likesCountElement = await page.waitForSelector(
      "segmented-like-dislike-button-view-model button",
    );
    const likes = await likesCountElement.evaluate((el) =>
      el.getAttribute("aria-label"),
    );

    return { title, views, likes };
  } finally {
    await browser.close();
  }
}

const videoStatistics = await getYoutubeVideoStatistics(
  "https://www.youtube.com/watch?v=wZXgPuY5rUQ",
);
console.log(videoStatistics);

Playwright browser automation and reliable end-to-end testing

Playwright is another popular open-source library. Microsoft released the first public version in 2020, and the library is considered the spiritual successor to Puppeteer, since several of the engineers behind Puppeteer moved from Google to Microsoft and built Playwright from scratch.

As a result, the API and the underlying design are similar to Puppeteer's in many aspects. It has more than 94,000 stars on GitHub and is actively maintained.

The library drives Chromium, Firefox, and WebKit (the engine behind Safari) using its own patched browser builds, and it can also target branded Chrome and Edge through channels. Like Puppeteer, it bundles a compatible browser, but there's also a bare-bones version: playwright-core.

A key difference, however, is the supported platforms: Playwright provides versions of its library in JavaScript (Node.js through NPM), Python, Java, and C#.

Playwright ships features a test framework needs and an automation library usually doesn't:

• Auto-waiting. Every action waits for the element to be visible, stable, and ready to receive input.
• Text selectors. You can target elements by their visible text rather than by CSS path.
• Browser contexts. Isolated sessions share one browser instance, so parallel tests don't leak state into each other.
• A built-in test runner. Assertions, fixtures, retries, and traces come with the library.

Let's demonstrate a basic example of using the library by following the same example as before.

import { chromium } from "playwright-core";

const BROWSERLESS_API_TOKEN = "YOUR_API_TOKEN_HERE";

async function getYoutubeVideoStatistics(videoURL) {
  const browser = await chromium.connect(
    `wss://production-sfo.browserless.io/chromium/playwright?token=${BROWSERLESS_API_TOKEN}`,
  );

  try {
    const context = await browser.newContext();
    const page = await context.newPage();
    await page.goto(videoURL, { waitUntil: "domcontentloaded" });

    const title = await page
      .locator("h1.ytd-watch-metadata yt-formatted-string")
      .first()
      .innerText();

    const views = await page.locator("span.view-count").first().innerText();

    const likes = await page
      .locator("segmented-like-dislike-button-view-model button")
      .first()
      .getAttribute("aria-label");

    return { title, views, likes };
  } finally {
    await browser.close();
  }
}

const videoStatistics = await getYoutubeVideoStatistics(
  "https://www.youtube.com/watch?v=wZXgPuY5rUQ",
);
console.log(videoStatistics);

Running Puppeteer and Playwright without managing browsers

There are two options for browser automation; the first is to use a headless browser instance directly from your computer, and the other is to use an online platform.

The latter's advantage is that it gives you a WebSocket URL to a remote browser, so you don't allocate memory and disk on your own machine or keep browser installs patched. Browserless also manages the pool behind that URL: sessions are isolated from each other, and requests past your concurrency limit queue rather than fail.

Browserless is a Browser-as-a-Service (BaaS) platform: it runs and manages the browser pool for you, so your Puppeteer or Playwright script connects over a WebSocket instead of launching Chrome locally. It is a strong fit for scraping, data collection, and E2E tests that need to run more than one browser at a time.

It's an open-source browser automation platform with more than 13,500 stars on GitHub and over 174 million Docker pulls of its browser images. Some of the largest companies worldwide use the platform daily to conduct QA testing and data collection tasks. For example, here is how Samsara uses Browserless for their stress test automation.

Browserless offers free plans to start, and paid plans when you need more throughput. The free plan gives you 1,000 units per month (a unit is up to 30 seconds of browser time) along with 2 concurrent browsers and a 1-minute cap per session, which is enough to evaluate the platform or run small jobs. You can sign up for free without a credit card.

After completing the registration process, the platform supplies an API key, which you can use to access Browserless services.

Playwright vs. Puppeteer: performance and reliability in practice

Star counts tell you about community size, not which library runs faster in your stack. In practice, the two behave differently enough that "faster" depends heavily on what you're running.

Puppeteer talks to Chrome directly over the DevTools Protocol, with no extra abstraction layer in between. For short, Chrome-only scripts, that shows up as slightly less overhead per action.

Playwright adds its own automation layer on top of each browser it drives, which is what makes cross-browser support possible in the first place, but it also means Playwright is doing more work under the hood on every call.

That overhead mostly disappears once your test or scrape involves real navigation. Network round trips, page renders, and the wait for content to appear dominate the runtime, and both libraries end up depending on the same browser and the same network either way.

Where you'll actually feel a difference is in how much manual waiting code you have to write: Playwright's auto-waiting checks that an element is visible, stable, and ready to receive input before it acts on it, while Puppeteer expects you to be more explicit about waiting for selectors and network state yourself.

That difference shows up as flakier tests in Puppeteer suites that skip the manual waits, not as a raw speed gap.

Reliability at scale comes down to session and resource management more than the library itself. Both libraries leak memory if you don't close pages and contexts when you're done, and on a hosted platform an unclosed session keeps holding a concurrency slot until it times out. Browserless enforces a max session time per plan and queues anything over your concurrency limit rather than rejecting it, so a leaked session shows up as a slow queue rather than a crashed worker – but you still want await browser.close() in a finally block.

Browserless takes that off your plate: managed browser instances, session cleanup, and a queue that absorbs bursts instead of dropping them.

Concurrency scales with your plan – up to 100 concurrent browsers on Scale (80 on monthly billing, 100 on annual), and into the hundreds or thousands on Enterprise – so the same script that works locally keeps working when you point more traffic at it.

Playwright vs. Puppeteer: which one is right for you?

Now that we covered the basics of each library, which one should you use in your projects? Both libraries share many similarities and some substantial differences.

When making the right choice, consider a couple of things.

First, let's address the elephant in the room: Puppeteer is a Node.js library, while Playwright supports more development environments, which can be a defining factor in choosing one over the other.

Apart from that, both libraries are stable on their API and actively maintained. Playwright covers WebKit, the engine behind Safari, which Puppeteer does not – and there is no sign of that changing.

Playwright offers a more robust API for automated testing than Puppeteer. While you can easily integrate Puppeteer in your test suites, Playwright itself offers a great test suite, without the need for third-party testing libraries.

However, you should make sure you really need automated testing; some teams decide that it's not worth conducting extensive tests on multiple browsers when most users use Chrome anyway.

Puppeteer's community is still marginally larger, but the gap has nearly closed since Playwright's early days. Community size is a real factor if you expect to lean on third-party plugins, but it's no longer the lopsided difference it used to be.

For the workflows where neither has a clear edge, the APIs are close enough that migrating later is mostly mechanical, so pick the one that fits today's constraint rather than trying to future-proof the choice.

Here's the honest version of that comparison, from a team that runs both in production:

Playwright vs. Puppeteer for scraping

For scraping specifically, the calculus shifts a bit.

Most scraping targets you care about render in Chrome, so Puppeteer's Chrome-only focus isn't a real limitation for the majority of scraping projects, and its simpler, single-browser model means less to configure before you get to the actual extraction logic.

Playwright earns its keep on scraping jobs when a target renders differently across browsers, or when you want one script that can fall back to Firefox or WebKit if a site starts fingerprinting Chromium specifically.

Neither library ships with bot detection handling or stealth built in, which is where most DIY scraping setups start losing time: a plain Puppeteer or Playwright script looks like a headless browser to anything checking for one.

Browserless closes this gap for both. Point either library at the /stealth endpoint instead of a local browser and you get fingerprint mitigations, automatic CAPTCHA solving with solveCaptchas=true, and optional residential proxies with proxy=residential, all applied at the infrastructure level. Puppeteer connects to it the same way as the example above; Playwright uses chromium.connectOverCDP() for this endpoint, since /stealth speaks CDP rather than Playwright's own protocol.

If a target is aggressive enough that you're still patching evasions in your script, BrowserQL is the purpose-built path: you describe the interaction and it handles the anti-bot layer. You're not invisible either way; just a lot less obvious than a stock headless browser.

Playwright MCP vs. Puppeteer MCP: which fits AI agent workflows?

If you're building an AI agent that needs to browse the web, there is a choice to be made when it comes to MCPs.

Microsoft maintains an official Playwright MCP server directly, with more than 35,000 GitHub stars and active development. It exposes Playwright's browser control as MCP tools, so an agent in Claude, Cursor, or any MCP-compatible client can navigate, click, and read a page without you writing the automation by hand.

Puppeteer doesn't have an equivalent official server from its maintainers. The MCP servers you'll find for Puppeteer are community projects, the largest of which sits at a few hundred GitHub stars – well short of Playwright MCP's install base and maintenance backing.

If an official, actively-maintained MCP integration is an important part of your stack, that's a real point in Playwright's favor.

Either way, an MCP server is only as good as the browser behind it, and a local Chrome instance still hits the same bot detection, memory, and scaling problems your agent will eventually run into.

Browserless MCP gives an agent a real, cloud-hosted Chrome session instead. It's a hosted server – point your client at https://mcp.browserless.io/mcp and sign in with OAuth or an API token, with nothing to install – and it exposes a stateful Browser Agent for multi-step flows like logins, a Smart Scraper that escalates from plain HTTP to a full browser only when it needs to, as well as crawling and Lighthouse audits.

Stealth and CAPTCHA handling run at the infrastructure level, so the agent's browser isn't the part you end up debugging.

Puppeteer vs. Playwright: final thoughts

In this article, we presented a brief history of browser automation, browserless, a free online service, and discussed some of each library's key elements, pros, and cons.

Rather than leave you with a coin flip, here's a reminder of the key comparison points and which one wins:

• Cross-browser test coverage – Pick Playwright. It's the only one of the two that drives WebKit, Safari's engine, natively – Puppeteer reaches Firefox over WebDriver BiDi but stops there – and Playwright's auto-waiting cuts down on flaky tests.
• Chrome-only scraping or automation at scale – Puppeteer's simpler, single-browser model is easier to reason about, and its bigger plugin ecosystem covers more edge cases out of the box.
• Multi-language teams, or Python, Java, and .NET codebases – Playwright, since Puppeteer is JavaScript-only.
• AI agents that need an official, maintained MCP integration – Playwright, for the reasons above.

If none of those apply cleanly to your project, both libraries will get the job done, and BrowserQL, Browserless's own browser automation tool, works alongside either one rather than forcing you to pick a side upfront. And if you're weighing these two against the wider field of web scraping tools, from Scrapy to no-code scrapers to AI-native crawlers, our guide to the best web scraping tools for data extraction compares 9 options by use case and cost.

If you like our content, we have many tutorials on our blog for scraping YouTube, X, Glassdoor, and Google Maps. You can also check out how our clients use Browserless for different use cases:

• @IrishEnergyBot used web scraping to help create awareness around Green Energy
• Dropdeck automated slide deck exporting to PDF and generation of PNG thumbnails
• BigBlueButton, an open-source project, runs automated E2E tests with Browserless

Playwright vs. Puppeteer FAQs

Is Playwright better than Puppeteer?

Neither is better in every case. Playwright covers more browsers and comes with auto-waiting built in, which tends to mean fewer flaky tests.

Puppeteer stays simpler if you only need Chrome, and its bigger community means more existing plugins and answers. The right pick depends on whether cross-browser coverage or a smaller, Chrome-only footprint matters more for your project.

Is Playwright still relevant?

Yes. Playwright is actively maintained by Microsoft, and its GitHub star count has grown to sit within a few percent of Puppeteer's, up from roughly half of Puppeteer's count a few years ago.

It's also the library with an official, Microsoft-maintained MCP server, which grows in importance each year as AI agents need a browser to drive.

Is Playwright replacing Selenium?

Not entirely, but it has taken over a lot of Selenium's use cases. Playwright and Puppeteer both offer a faster, less resource-heavy alternative to Selenium's browser-driver model for teams that don't need Selenium's language breadth or its Grid-based distributed testing.

Can I migrate between Puppeteer and Playwright?

Yes, and it's one of the easier migrations in browser automation. Their APIs are close enough that most Puppeteer scripts port to Playwright with mostly mechanical changes, and Playwright's own docs include a dedicated migration guide from Puppeteer.

The connection pattern for both against Browserless is nearly identical, as the code samples above show.