Playwright is a powerful headless browser that can be integrated with ZenRows to avoid blocks and ensure smooth and reliable data extraction.
In Python, Playwright supports two variations: synchronous (great for small-scale scraping where concurrency isn’t an issue) and asynchronous (recommended for projects where concurrency, scalability, and performance are essential factors)
This tutorial focuses on the Playwright asynchronous API. So, we need to import the async_playwright and asyncio modules.

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Use ZenRows’ Proxies with Playwright to Avoid Blocks

ZenRows offers residential proxies in 190+ countries that auto-rotate the IP address for you and offer Geolocation and http/https protocols. Integrate them into Playwright to appear as a different user every time so that your chances of getting blocked are reduced exponentially. You have three ways to get a proxy with ZenRows, one is via Residential Proxies, where you get our proxy, and it’s charged by the bandwidth; the other way is via the Universal Scraper API’s Premium Proxy, which is our residential proxy for the API, and you are charged by the request, depending on the params you choose; and the third is by using the Scraping Browser where can integrate into your code with just one line of code.
For this tutorial, we’ll focus on the Residential Proxies, the recommended ZenRows proxy for Playwright. In case you already have a running Playwright code, consider testing our Scraping Browser.
 After logging in, you’ll get redirected to the Request Builder page, then go to the Proxies Generator page and create your proxy:
ZenRows Residential Proxies Generator Page
Select your Proxy Username, Proxy Country, Protocol, and Sticky TTL. Finally, copy your Proxy URL or use the cURL example at the bottom of the page. 
http://<YOUR_USERNAME>:<YOUR_PASSWORD>@superproxy.zenrows.com:1337
The target site of this tutorial section will be httpbin.io/ip, an endpoint that returns the origin IP of the incoming request. You’ll use it to verify that ZenRows is working. Let’s assume you have set the Playwright environment with the initial script below in Python.
scraper.py
import asyncio
from playwright.async_api import async_playwright

async def main():
    async with async_playwright() as p:
        browser = await p.chromium.launch(headless=True)
        page = await browser.new_page()
        await page.goto("https://httpbin.io/ip")

        # Get the page content
        content = await page.content()
        print(content)

        await browser.close()

# Run the asynchronous main function
asyncio.run(main())

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Configure your Residential Proxy in Playwright

Make sure you have Playwright installed and in your scraper.py file and add the following code:
scraper.py
import asyncio
from playwright.async_api import async_playwright

async def main():
    proxy = {
        "server": "http://superproxy.zenrows.com:1337",
        "username": "<YOUR_ZENROWS_PROXY_USERNAME>",  # Replace with your ZenRows proxy username
        "password": "<YOUR_ZENROWS_PROXY_PASSWORD>"   # Replace with your ZenRows proxy password
    }

    async with async_playwright() as p:
        # Configure the browser to use the proxy
        browser = await p.chromium.launch(proxy=proxy, headless=True)
        page = await browser.new_page()
        await page.goto("https://httpbin.io/ip")

        # Get the page content
        content = await page.content()
        print(content)

        await browser.close()

asyncio.run(main())
Awesome! You just integrated ZenRows’ Residential Proxies into Playwright. 🚀

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Pricing

ZenRows operates on a pay-per-success model on the Universal Scraper API (that means you only pay for requests that produce the desired result); on the Residential Proxies, it’s based on bandwidth use. To optimize your scraper’s success rate, fully replace Playwright with ZenRows. Different pages on the same site may have various levels of protection, but using the parameters recommended above will ensure that you are covered. ZenRows offers a range of plans, starting at just $69 monthly. For more detailed information, please refer to our pricing page.

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Frequently Asked Questions (FAQs)