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Playwright Web Scraping in 2026

Playwright Web Scraping

author jenny

Jenny Avery
Last updated on
 
2026-01-22
 
7 min read
 

If you’ve ever tried scraping a modern React or Angular website using standard HTTP requests, you know the struggle. You request the page, and instead of data, you get a blank <div> or a loading spinner.

The internet isn’t static anymore. It’s dynamic, complex, and full of anti-bot traps.

Enter Playwright. Originally built by Microsoft for end-to-end testing, it has quietly become the gold standard for Python web scraping. In this guide, we’ll walk through why Playwright beats the competition, how to build your first scraper, and how to scale it using Thordata proxies to stay unblocked.

Why Playwright Web Scraping is the New Standard

For years, Selenium was the go-to tool for browser automation. But let’s face it—Selenium can be resource-heavy and “flaky” (prone to crashing).

Playwright web scraping changes the game by communicating directly with the browser engine (Chromium, Firefox, or WebKit) via the DevTools protocol. It doesn’t rely on brittle intermediary drivers.

Key Advantages for Developers

● Auto-Waiting: Playwright automatically waits for elements to be actionable before clicking. No more random time. sleep(5) commands!

● Headless Mode: Run browsers in the background without a UI, saving massive amounts of RAM.

● Network Interception: You can block images or CSS to speed up scraping by 3x.

Playwright vs. Selenium vs. Puppeteer: Which is Best?

When choosing a Python scraping library, it is essential to understand the trade-offs. We ran a stress test, scraping 1,000 dynamic pages. Here is how they compared:

Summary Table: Scraping Library Comparison

Feature

Playwright

Selenium

Puppeteer

Speed

Fastest (Async & Parallel)

🐢 Slower

🐇 Fast

Language Support

Python, Node.js, Java, .NET

All major languages

Node.js (mostly)

Reliability

High (Auto-wait mechanism)

Low (Flaky connections)

Medium

Browser Support

All (Chromium, Firefox, WebKit)

All

Chromium Only

Setup Difficulty

🟢 Easy

🔴 Hard (Driver management)

🟡 Moderate

The Verdict: If you are using Python, Playwright is the clear winner for reliability and speed in 2026.

Setting Up Your Playwright Python Environment

Getting started is surprisingly easy. You don’t need to manually download “GeckoDriver” or “ChromeDriver” like you did in the old days.

Step 1: Install the Library
Open your terminal and run:

Code Block Example
pip install playwright

Step 2: Install the Browsers
This command downloads the lightweight browser binaries needed for scraping:

Code Block Example
 playwright install

Hands-On: Building Your First Scraper

Let's build a script to scrape product data. We will use the Synchronous API because it’s easier to read and debug for beginners.

Extracting Data from Dynamic Pages

Imagine we are scraping a bookstore where prices are loaded via JavaScript.

Code Block Example
from playwright.sync_api import sync_playwright

def run():
    with sync_playwright() as p:
        # Launch browser (headless=False lets you see the action)
        browser = p.chromium.launch(headless=False) 
        page = browser.new_page()
        
        # Go to target
        page.goto("https://books.toscrape.com/")
        
        # Wait for the product list to load
        page.wait_for_selector(".product_pod")
        
        # Extract all book titles
        books = page.locator("h3 > a")
        
        count = books.count()
        print(f"Found {count} books:")
        
        for i in range(count):
            print(books.nth(i).get_attribute("title"))
            
        browser.close()

if __name__ == "__main__":
    run()

Did you notice?  We didn't need to tell the script to "wait 2 seconds." page.wait_for_selector handles the timing dynamically.

Scaling Up: Integrating Thordata Proxies

Here is the hard truth: If you run the script above 100 times quickly, you will get blocked. Websites track your IP address. To scrape at scale, you need to route your traffic through a proxy network.

While many guides mention competitors, our internal tests show that Thordata currently offers the highest success rate for bypassing modern blocks (like Cloudflare or Akamai).

Thordata

Why Thordata Residential Proxies?

● Residential IPs: Your requests appear to originate from genuine home Wi-Fi networks, rather than data centers.

● Auto-Rotation: Thordata rotates your IP automatically with every request.

● Session Control: You can keep the same IP for sticky sessions (crucial for logging in).

The Code: Adding a Proxy to Playwright

Here is how to modify your browser.launch code to use Thordata:

Code Block Example
# Thordata Proxy Configuration
proxy_config = {
    "server": "http://gate.thordata.com:12345", # Example Endpoint
    "username": "YOUR_USERNAME",
    "password": "YOUR_PASSWORD"
}

browser = p.chromium.launch(
    proxy=proxy_config
)

Note: Always replace credentials with your actual Thordata dashboard details.

dashboard

Advanced Tactics: Handling Infinite Scroll & CAPTCHAs

Dynamic websites love "Infinite Scroll." You scroll down, and more items load. A standard requests scraper fails here, but Playwright excels.

The Infinite Scroll Loop

To get all the data, you need to simulate a user scrolling. Here is the logic we use in production:

1. Get the current page height.

2. Scroll to the bottom of the page. mouse.wheel.

3. Wait for the network to settle (meaning new data has loaded).

4. Repeat until the page height stops increasing.

Avoiding CAPTCHAs and Rate Limits

Even with proxies, aggressive behavior triggers CAPTCHA.

● Slow Down: Use page.wait_for_timeout(random.randint(1000, 3000)) to add random human-like pauses between clicks.

● Stealth Headers: Playwright sends a "HeadlessChrome" user agent by default, which is a giant red flag. Always override this in the browser.new_context(user_agent="Mozilla/5.0...").

Conclusion

Playwright web scraping is no longer just an alternative; it is the essential toolkit for modern data extraction. Its ability to render JavaScript, handle dynamic events, and run headless makes it superior to older libraries.

However, a powerful engine needs fuel. To ensure your scraper runs without hitting "Access Denied" errors, pairing Playwright with a robust infrastructure like Thordata is non-negotiable. Thordata’s residential proxy network ensures your bots blend in with legitimate traffic, allowing you to focus on the data, not the blocks.

Ready to level up your scraping game? Check out the official Playwright Python documentation to learn more.

Contact us at support@thordata.com for tailored advice.

Disclaimer: The data and prices mentioned in this article are based on our testing as of late 2025. Proxy performance can fluctuate based on network conditions. We recommend readers verify current pricing and features on the respective official websites.

 
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Frequently asked questions

Is Playwright better than Selenium for web scraping?

 

Yes, for most modern web scraping tasks, Playwright is better than Selenium. It is significantly faster, supports parallel execution out of the box, and is less prone to crashing ("flakiness"). While Selenium is great for legacy browser testing, Playwright's ability to auto-wait for elements makes it superior for scraping dynamic JavaScript websites.

How can I stop Playwright from being detected as a bot?

 

To prevent detection, you should:
1.Use Residential Proxies: Services like Thordata mask your datacenter origin.
2.Change User-Agent: Override the default "Headless" User-Agent string.
3.Use playwright-stealth: There are plugins available that patch common bot leakage points (like navigator.webdriver property).
4.Randomize Behavior: Add random delays between actions.

Can Playwright scrape data from behind a login?

 

Absolutely. Playwright can interact with login forms, fill in credentials, and click buttons just like a human. Furthermore, you can save the browser state (cookies and local storage) to a JSON file. This allows you to log in once and reuse the session cookies for subsequent scraping runs without logging in again.

About the author

Jenny is a Content Specialist with a deep passion for digital technology and its impact on business growth. She has an eye for detail and a knack for creatively crafting insightful, results-focused content that educates and inspires. Her expertise lies in helping businesses and individuals navigate the ever-changing digital landscape.

The thordata Blog offers all its content in its original form and solely for informational intent. We do not offer any guarantees regarding the information found on the thordata Blog or any external sites that it may direct you to. It is essential that you seek legal counsel and thoroughly examine the specific terms of service of any website before engaging in any scraping endeavors, or obtain a scraping permit if required.