Playwright and Puppeteer are two of the most popular tools for browser automation, but they differ in performance and capabilities. In this article, we’ll compare them side by side to help you decide which one fits your needs. However, it’s important to remember that as websites become harder to access with automated scripts, code efficiency is only half the battle. That’s why we’ll also discuss how can help avoid interruptions and scale automation reliably, with links to dedicated integration guides for both libraries. proxy solutions What is Playwright? Playwright is a modern, open-source framework developed by Microsoft for end-to-end testing and browser automation. It allows developers to interact with web applications across all modern engines – Chromium (Chrome & Edge), Firefox, and WebKit (Safari’s engine) – on Windows, Linux, and macOS. While built on , Playwright supports multiple programming languages, including JavaScript, TypeScript, Python, Java, and .NET (C#), making it an all-around tool for teams with diverse tech stacks. For web scraping, Playwright’s ability to manage multiple isolated browser contexts (each with its own cookies and proxy settings) allows for highly efficient, parallelized data extraction without the memory overhead of multiple browser processes. Node.js A key strength of Playwright is its reliability. It features auto-waiting, which ensures elements are actionable before performing an interaction, significantly reducing test flakiness. It also supports multi-context browsing, allowing you to isolate multiple pages or iframes within the same browser session. Beyond basic automation, it offers native network interception, video recording, and mobile device emulation. While relatively new compared to Puppeteer, Playwright has quickly become the leader in the space. Its ability to deliver consistent, cross-browser results and its powerful built-in test runner make it a top choice for modern web development. What is Puppeteer? Puppeteer is an open-source library developed by Google for automating Chrome and Chromium-based browsers. It’s built primarily on the Chrome DevTools Protocol (CDP), giving developers control over browser internals, making it lightweight, fast, and highly optimized for Chrome-specific tasks. Node.js Puppeteer operates in both headless and headful modes. It’s a standard tool for web scraping, PDF generation, and automated screenshot capture. Because of its tight integration with the Chromium engine, it often gains access to new browser features before other automation frameworks. While Puppeteer excels in the Chromium ecosystem (including Microsoft Edge), its cross-browser capabilities are more limited than competitors like Playwright. For instance, although it now provides stable support for Firefox via the WebDriver BiDi project, it still lacks native WebKit (Safari) support. Puppeteer is built specifically for the Node.js ecosystem and officially supports only JavaScript and TypeScript. While unofficial ports like Pyppeteer exist for Python, these community projects often lack the frequent updates provided by the core library. Despite this narrower language support, Puppeteer remains one of the top choices due to its simplicity, speed, and large community backing for Chrome-centric automation. Playwright vs. Puppeteer: comparison summarized For those looking for a quick answer, here’s a TL:DR Playwright vs. Puppeteer comparison table: Feature Playwright Puppeteer Primary goal Cross-browser E2E testing, automation, & scraping Focused Chromium automation & scraping Supported platforms Windows, macOS, Linux Windows, macOS, Linux Language support JavaScript, TypeScript, Python, Java, .NET (C#) JavaScript & TypeScript Browser support Chromium, Firefox, WebKit Chromium, Firefox (via WebDriver BiDi) Architecture WebSocket-based Driver (abstracts all protocols) Chrome DevTools Protocol (CDP) / WebDriver BiDi Client Asynchronous & synchronous Asynchronous Mode configuration Headful & headless mode (both first-class) Headful & headless mode (both first-class) Documentation Good; focus on testing & debugging Excellent; mature & simple Community support Huge ecosystem; extensive community Huge ecosystem; extensive community Wait strategy Auto-waiting (built-in reliability) Manual waiting (requires ) waitForSelector Browser support comparison The most visible Playwright advantage is its native support for all three major browser engines: Chromium, Firefox, and WebKit. The latter makes Playwright the go-to choice for developers who need to ensure their web applications work perfectly on iOS or macOS, as it can simulate Safari’s behavior via WebKit on any operating system. In contrast, Puppeteer remains a Chromium-centric library. While it has stabilized and officially launched first-class Firefox support via the WebDriver BiDi protocol, it still lacks native WebKit support. If you require testing for Safari or are looking for a cross-browser experience, Playwright is still the clear winner. The two libraries also differ in how they control the browsers. Playwright ships with its own “patched” versions of browser binaries. These patches allow Playwright to expose low-level APIs that aren’t available in standard browsers. It also enables features like auto-waiting and advanced network interception. However, there’s a catch. Because these browsers are modified, there’s a theoretical risk that a test might pass in a patched Playwright browser, but fail in a real browser. Puppeteer, on the other hand, originally built its reputation on the Chrome DevTools Protocol (CDP). Today, it’s moving toward WebDriver BiDi, a new industry standard. This basically means Puppeteer works more closely with vendor-provided stock browser versions, which often translates into better long-term stability and a lower risk of false positives during testing. Programming language options A tool is only as useful as its compatibility with your team’s existing expertise. That’s why when it comes to a choice of programming language, the choice between Playwright and Puppeteer comes down to your tech stack. Playwright is designed with a polyglot philosophy – it’s built to be accessible to almost any modern development team. While the core engine is written in TypeScript/ , Microsoft provides and maintains high-quality language bindings for JavaScript, TypeScript, Python, Java, and C#/.NET. What’s more, is that because these are official bindings, you get feature parity across all languages – a feature released for is almost immediately available for Python or Java users. Node.js Node.js Puppeteer, on the other hand, is strictly a library designed for JavaScript and TypeScript. If you work within the JS ecosystem, Puppeteer will feel like a native extension of your workflow. But if you’re a Python developer, you are very much out of luck with the official Puppeteer library. Yes, there are unofficial ports like Pyppeteer for Python, but these are only community-run projects that are no longer maintained. Node.js Installation & setup process Now, let’s take a look at how we can use both Playwright and Puppeteer to perform a basic web scraping task. Prerequisites To start, you’ll need to install (Node Package Manager) on your machine. You can do that by following this . npm link Then, you can open your terminal and run these commands to create a new folder and initialize a new Node project. This typically creates a file inside the directory. package.json mkdir playwright-pupeteer cd playwright-pupeteer npm init -y Installing the libraries Now that the project is set up, let’s install both Playwright and Puppeteer into the current project. You can do that by running these commands: npm install puppeteer npm install playwright npx playwright install As you can see, we need to run an additional command when installing Playwright. This is because Playwright doesn’t include a bundled browser by default. You need to run the last command shown to install the default browsers it offers. npx playwright install Puppeteer, on the other hand, has Chrome bundled by default; therefore, no additional command is required. Scraping a website with Playwright Now that our setup is complete, let’s look at how you can use Playwright to scrape a website. We’ll be using the as a scraping target for this example. Since the sandbox mimics an e-commerce site, we’ll scrape the title and stock status of each item on the page. Oxylabs Sandbox Let’s start by creating a JavaScript file called inside your project folder. Once you have that, you should import the dependency from the Playwright package. Here’s what it should look like: playwright.js chromium import { chromium } from 'playwright'; Next, let’s perform the initial steps of most Playwright applications: opening the browser and navigating to a website. We can start by defining the URL of the scraping sandbox in a variable like this: const URL = 'https://sandbox.oxylabs.io/products'; Now, let’s start a browser and launch a new page like this: const browser = await chromium.launch(); const page = await browser.newPage(); Once we have our page variable initialized, we can start the scraping process. Add these lines to navigate the page to the previously defined URL: await page.goto(URL); await page.waitForLoadState('networkidle'); The second line ensures that all components are loaded before we start scraping, so that we don’t miss the data we need. Now that the data is loaded, we can use a simple CSS selector to select each product from the website. Each product in the sandbox has a CSS class of , so let’s use that as our selector. .product-card To do that, let’s create an anonymous function for the page object’s method that eventually returns each product from the scraped data. It should look like this: evaluate const products = await page.evaluate(() => { }) Inside the anonymous function, let’s query for every product on the page as so: const products = await page.evaluate(() => { const productCards = document.querySelectorAll('.product-card'); }) Next, we should iterate over each product card and map the title and stock status into a new object. Since the stock status doesn’t have a common CSS class, we’ll select the and text separately and compare them to determine which one exists. Here’s what it should look like: Out of Stock In Stock const products = await page.evaluate(() => { const productCards = document.querySelectorAll('.product-card'); return Array.from(productCards).map(card => { const inStock = card.querySelector('p.in-stock')?.innerText; const outOfStock = card.querySelector('p.out-of-stock')?.innerText; const title = card.querySelector('h4.title')?.innerText; return { title: title, stockStatus: inStock ? 'In Stock' : outOfStock ? 'Out of Stock' : '' }; }); }) After that, we can log out the returned products with a simple log statement, and close the browser like this: console.log(products); await browser.close() If you run the code, you should see something like this in your terminal: [ { title: 'The Legend of Zelda: Ocarina of Time', stockStatus: 'In Stock' }, { title: 'Super Mario Galaxy', stockStatus: 'Out of Stock' }, { title: 'Super Mario Galaxy 2', stockStatus: 'In Stock' }, { title: 'Metroid Prime', stockStatus: 'Out of Stock' }, { title: 'Super Mario Odyssey', stockStatus: 'In Stock' }, { title: 'Halo: Combat Evolved', stockStatus: 'Out of Stock' }, ... ] Here’s what the full script should look like: import { chromium } from 'playwright'; const URL = 'https://sandbox.oxylabs.io/products'; const browser = await chromium.launch(); const page = await browser.newPage(); await page.goto(URL); await page.waitForLoadState('networkidle'); const products = await page.evaluate(() => { const productCards = document.querySelectorAll('.product-card'); return Array.from(productCards).map(card => { const inStock = card.querySelector('p.in-stock')?.innerText; const outOfStock = card.querySelector('p.out-of-stock')?.innerText; const title = card.querySelector('h4.title')?.innerText; return { title: title, stockStatus: inStock ? 'In Stock' : outOfStock ? 'Out of Stock' : '' }; }); }); console.log(products); await browser.close(); Next, let’s look at how we’d perform the same task using Puppeteer. Scraping a website with Puppeteer To start, let’s create another file in the same directory called . puppeteer.js Once you have that, you can open it up and import the library. As mentioned before, Puppeteer bundles Chrome, so we don’t need to import an additional browser dependency. Importing like this is enough: puppeteer puppeteer import puppeteer from "puppeteer"; The rest of the script stays mostly the same as in the Playwright example, except for some small differences. As before, we launch a browser, open a page, navigate to the scraping sandbox URL, and scrape the data. Here’s what it should look like: import puppeteer from "puppeteer"; const URL = "https://sandbox.oxylabs.io/products"; const browser = await puppeteer.launch(); const page = await browser.newPage(); await page.goto(URL); await page.waitForNetworkIdle(); const products = await page.evaluate(() => { const productCards = document.querySelectorAll(".product-card"); return Array.from(productCards).map((card) => { const inStock = card.querySelector("p.in-stock")?.innerText; const outOfStock = card.querySelector("p.out-of-stock")?.innerText; const title = card.querySelector("h4.title")?.innerText; return { title: title, stockStatus: inStock ? "In Stock" : outOfStock ? "Out of Stock" : "", }; }); }); console.log(products); await browser.close(); Similarities and differences The only difference between these examples is how each library handles waiting for the network state to change. In Playwright, we have to explicitly mention which network state we’re waiting for in the argument of the method, as so: await page.waitForLoadState("networkidle"); While Puppeteer exposes a separate method for waiting for the network to become idle, like this: await page.waitForNetworkIdle(); Of course, more differences would become apparent as you tackle more advanced use cases. However, this small example shows that, aside from some functional differences, both Playwright and Puppeteer perform the same basic tasks in a similar way. API design and ease of use If you’ve ever written a browser script that works perfectly on your machine but randomly fails in the cloud, you’ve experienced flakiness. The way both of these libraries handle page load timing is the biggest factor in how frustrating (or smooth) your development process will be. Playwright was built to solve the flakiness problem, introducing two concepts: – in most automation tools, if you tell the script to “click the login button,” it might try to click it before the button has finished loading, causing the script to crash. Playwright automatically waits for the element to be actionable – it checks if the button is visible, stable, and enabled – before attempting to click. Auto-waiting – a locator is a way of describing how to find an element (e.g., “find the button that says Submit”). Unlike older methods that find an element once and then lose it if the page refreshes, a Playwright Locator stays alive and will re-find the element whenever you need it. Locators Puppeteer is more hands-on – it gives you the tools to interact with the browser, but it doesn’t do as much heavy lifting for you. For example, in Puppeteer, you have to tell the script exactly when to wait. Some time later, you’ll find yourself writing something like before almost every action. If you forget a wait command or the site takes longer than usual to load, your script will likely fail. So, you might get more control, but you also have to write more lines of code to handle the same tasks that Playwright handles automatically. await page.waitForSelector('.login-btn') Performance & speed There’s no one internationally agreed-upon option when it comes to the fastest library, because it depends entirely on the scale of your project. However, both tools are definitely faster than older frameworks, such as Selenium, yet they have different performance profiles. Puppeteer is often ideal for short, one-off scripts or projects. Because it’s a lightweight library with a direct, low-level connection to Chromium, it has very little overhead. Given startup speed, Puppeteer can launch a browser and execute a simple command (e.g., taking a screenshot of a single page) faster than Playwright in many benchmarks. Why? Because it doesn’t have the extra layers that Playwright uses to support multiple languages and browser types. So, if your goal is to run thousands of tiny and independent tasks, Puppeteer is hard to beat. Conversely, Playwright is much more efficient in complex, multi-page scenarios thanks to its BrowserContexts feature. Let’s compare it with Puppeteer: in Puppeteer, if you want to run 10 different scraping sessions with total isolation, you have to launch 10 separate browser processes. This process is considered heavy and consumes significant RAM. What playwright allows you to do is to launch one browser process and create dozens of isolated contexts within it – each context behaves like a brand-new browser window, but shares the same underlying memory. As a result, Playwright uses significantly less CPU and memory than Puppeteer when scaling at high volume. Documentation & community support Puppeteer has been the industry standard for a long time, but Playwright has quickly set a new bar for how developer tools should be documented. Puppeteer, considered a mature veteran, has a multi-year head start, which helped it create a massive knowledge base across the internet. For example, if you encounter a bizarre error in Puppeteer, there’s a good chance someone else solved it three years ago on Stack Overflow or GitHub. In addition, since Puppeteer has been around for so long, the community has built specialized tools that aren’t officially supported. Overall, Puppeteer’s documentation is straightforward – it’s a library, and its docs reflect that simplicity. While Playwright is younger, it’s backed by Microsoft’s massive resources. Its documentation doesn’t just tell you how to click a button – it provides detailed, illustrated guides on modern challenges. Since Playwright includes first-party tools, community plugins are less necessary. It is safe to say that today, Playwright has overtaken Puppeteer in providing a safety net for developers – while Playwright might have fewer legacy niche blog posts, its official documentation is so thorough that you rarely need to look elsewhere. Web scraping capabilities Modern websites are rarely just static HTML anymore – they are dynamic applications that load data as you scroll or click. To scrape these websites effectively, you need a tool that can think and act like a real human browser. And while both Playwright and Puppeteer are excellent at extracting data, they represent different strategies. Handling dynamic content Both libraries handle JavaScript-heavy content well, but differ in how they wait for data. Because of its built-in auto-waiting, Playwright is resilient when scraping sites that load data at unpredictable speeds. It won’t try to scrape a product title or a price tag until it’s fully rendered and visible, which makes your scrapers less likely to break during a slow network spike. Puppeteer gives you control. If you need to intercept a specific network request the second it happens, Puppeteer’s integration with Chrome DevTools Protocol (CDP) provides the level of control advanced developers require. Scaling When you need to scrape 10K pages, performance comes down to numbers. Playwright, with its BrowserContext feature, is generally the winner for scale: you can run hundreds of isolated scraping sessions within a single browser process, improving scraping efficiency. Puppeteer is often faster for simple, single-page extractions: if you just need to grab one piece of data from one page as quickly as possible, Puppeteer’s lower overhead gives it a slight speed advantage. Blocks Most major websites use sophisticated measures to detect automated scripts. That’s why, nowadays, the biggest challenge in web scraping isn’t the code – it’s the blocks. While Puppeteer has a community-driven “Stealth” plugin, and Playwright allows you to use Firefox or WebKit to bypass Chrome-specific tracking, a library alone is often not enough. For high-volume scraping, the library is just the steering wheel – to actually move, you need an engine. Professional services like Oxylabs provide the infrastructure and unblocking technology needed to bypass CAPTCHA and manage browser fingerprints at scale. These services allow your Playwright or Puppeteer scripts to connect to a remote unblocking browser that manages the complexities of overcoming anti-bot measures for you. Proxy support, integration, & configuration In web automation, proxies allow developers to simulate requests from multiple geographic locations, enabling localized performance testing. This is crucial for verifying that a server can endure maximum traffic loads from a distributed user base without failing. For web scraping, these same proxies are essential for avoiding IP-based blocks and rate limits. While both Playwright and Puppeteer support proxy integration, they differ in their configuration. When it comes to configuration, Playwright offers a more flexible approach – you can set a proxy globally when launching the browser, or set unique proxies for individual Browser Contexts. This way, your single script will appear as if it’s coming from ten different countries simultaneously, all while using a single browser instance. Puppeteer’s proxy support is more rigid – proxies are typically defined as a command-line argument during the initial browser launch. If you need to switch proxies or rotate them mid-session, you often have to restart your browser or use third-party libraries to handle the logic. What’s good is that most premium proxy providers are designed to integrate seamlessly with both frameworks. These services do the heavy lifting by providing a single entry point (a gateway) that automatically handles IP rotation and pool management on their end. For example, a provider like Oxylabs allows you to pass your credentials directly into the launch configuration. Instead of writing complex code to rotate hundreds of IPs, you simply connect to their endpoint, and their backend automatically assigns a fresh IP for every new session or request. If you’re ready to set up your connection, most providers offer specific documentation for both of these libraries. For example: Playwright Proxy Integration with Oxylabs Oxylabs Proxy Integration with Puppeteer Final thoughts While Puppeteer remains a strong choice for lightweight, Chrome-focused tasks where simplicity and speed are key, Playwright excels in cross-browser support, reliability, and scalability, making it better suited for complex testing and large-scale web scraping. Ultimately, the choice depends on your project requirements, tech stack, and scale. By pairing either library with the right proxy and anti-bot strategy, you can build automation workflows that remain reliable even as websites become more challenging to scrape.
