Best Undetected ChromeDriver Alternatives for 2024

August 26, 2024 · 6 min read

Undetected ChromeDriver once stood as a reliable solution for bypassing the defenses of sophisticated anti-bots. However, as security measures evolve rapidly, Undetected ChromeDriver has struggled to keep pace with updates, leaving many scrapers vulnerable to detection and blocking.

This article explores more effective alternatives to Undetected ChromeDriver. We'll look into three powerful options, each offering unique features and improvements over the Undetected ChromeDriver:

Let's get started!

Undetected ChromeDriver Limitations

While Undetected ChromeDriver was once a go-to solution for web scraping, it has fallen behind in the arms race against anti-bot systems. Let's explore its key limitations and understand why they pose significant challenges for modern web scraping efforts.

Easy Detection by Anti-bot Systems

Undetected ChromeDriver's core approach involves modifying ChromeDriver to evade common detection methods. However, anti-bot systems have evolved to use more sophisticated techniques for identifying automated browsers.

The modifications made by Undetected ChromeDriver are now well-known to anti-bot developers, making it easier for them to create specific checks that target these alterations. As a result, scrapers using this tool face higher rates of CAPTCHAs, IP bans, and blocked requests. This significantly reduces the effectiveness and reliability of scraping operations.

Stability Issues

Undetected ChromeDriver often experiences stability problems, especially when dealing with complex websites or long-running scraping tasks. The modifications made to ChromeDriver can sometimes interfere with its normal functioning, particularly when interacting with dynamic web content or JavaScript-heavy sites. 

These issues manifest as frequent crashes, hangs, or unexpected behavior, leading to incomplete data collection. Consequently, scraping scripts requires constant monitoring and restarts which reduces the overall efficiency.

Bandwidth Usage

Being based on a full browser, Undetected ChromeDriver consumes significant bandwidth compared to lighter scraping solutions. Every request loads the full page, including resources like images and scripts that may not be necessary for data extraction. This leads to slower scraping speeds and higher hosting costs for large-scale operations. Additionally, the abnormal bandwidth usage patterns can trigger detection mechanisms on target websites.

Maintenance Challenges

Keeping Undetected ChromeDriver up-to-date and functional requires regular maintenance and updates. The ongoing cat-and-mouse game between Undetected ChromeDriver and anti-bot systems necessitates frequent updates.

However, these updates often lag behind the latest detection methods. As a result, developers spend increased time updating and testing scraping scripts rather than focusing on data extraction and analysis. This constant need for adaptation can significantly slow down scraping projects and increase their overall complexity.

These limitations highlight the need for more robust and efficient scraping solutions. In the following sections, we'll introduce tools that address these challenges and offer improved performance for your web scraping projects.

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#1 SeleniumBase's UC Mode

SeleniumBase's UC Mode is an enhanced version of Undetected ChromeDriver. Built on top of the popular Selenium framework, it offers a more robust and user-friendly solution for web automation and scraping tasks. UC Mode incorporates several improvements and additional features to overcome the limitations of the original Undetected ChromeDriver.

One of UC Mode's standout features is its ability to automatically rotate user agents. This significantly improves the browser's ability to evade anti-bot systems, addressing one of the main detection issues faced by the original Undetected ChromeDriver. Additionally, UC Mode comes with built-in handling for Cloudflare and other CAPTCHA challenges, making it easier to navigate protected websites.

Developers familiar with Selenium will find UC Mode particularly appealing. It seamlessly integrates with existing Selenium-based scripts, allowing for an easy transition. For large-scale operations, UC Mode supports multi-threaded scraping. This feature, combined with its optimizations, can lead to more efficient bandwidth usage compared to the original Undetected ChromeDriver.

SeleniumBase, the project behind UC Mode, boasts an active and growing community. The framework receives regular updates on GitHub, with frequent commits and responsive issue handling. This active development helps UC Mode keep pace with the latest anti-bot measures, reducing the maintenance burden on developers. The project's comprehensive documentation and active discussion forum provide ample support for users at all levels.

To get started with SeleniumBase's UC Mode, you first need to install it:

Terminal
pip3 install seleniumbase

Here's a basic script demonstrating UC Mode in action:

Example
from seleniumbase import Driver

# initialize driver with UC Mode enabled
driver = Driver(uc=True)

# target URL
url = "https://gitlab.com/users/sign_in"

# open URL using UC Mode's reconnect feature
# 4 seconds reconnection time to avoid detection
driver.uc_open_with_reconnect(url, 4)

# capture screenshot
driver.save_screenshot("gitlab_screenshot.png")

# close the browser and end the session
driver.quit()

This script opens a protected website, leverages UC Mode's reconnect feature to avoid detection, and captures the screenshot.

GitLab Sign-in Page Screenshot
Click to open the image in full screen

#2 Nodriver

Nodriver is a successor to Undetected ChromeDriver. It aims to provide even better resistance against web application firewalls (WAFs) and anti-bot systems. Nodriver eliminates the need for WebDriver and Selenium dependencies. Instead, it opts for direct communication with the browser. For a comprehensive overview of Nodriver's capabilities, check out our detailed guide on using Nodriver for web scraping.

Nodriver's direct browser communication significantly boosts performance, making scraping tasks faster and more efficient. It also improves stealth by removing telltale signs of automation that WebDriver-based solutions often leave behind.

Nodriver addresses many of the limitations we discussed earlier. Its improved detection avoidance capabilities help reduce instances of CAPTCHAs and IP bans. Bandwidth usage is also often lower due to more efficient communication between the script and the browser.

One of Nodriver's standout features is its asynchronous nature. It allows for concurrent scraping across multiple tabs or windows. This can greatly increase the speed and efficiency of large-scale scraping operations. Nodriver also includes smart element lookup capabilities, making it easier to interact with page elements even across iframes.

While Nodriver is a relatively new tool, it's gaining traction in the web scraping community. The project is actively maintained on GitHub, with regular updates and improvements. However, as a newer solution, its community and support resources are still growing compared to more established tools.

To get started with Nodriver, you can install it using pip:

Terminal
pip3 install nodriver

Here's a basic script demonstrating Nodriver:

Example
import asyncio
import nodriver as uc


async def main():
    # start a new Chrome instance
    browser = await uc.start()

    # visit the target website
    page = await browser.get("https://gitlab.com/users/sign_in")

    # wait for 10 seconds using nodriver's built-in sleep method
    await page.sleep(10)

    # capture screenshot of the page
    await page.save_screenshot()

    # close the browser tab
    await page.close()


if __name__ == "__main__":
    # run the main coroutine using nodriver's event loop
    uc.loop().run_until_complete(main())

This script opens the protected website known for its anti-bot measures and captures the screenshot. Note the asynchronous nature of the code, which is a key feature of Nodriver.

GitLab Sign-in
Click to open the image in full screen

#3 ZenRows

ZenRows is a powerful web scraping API designed to overcome the challenges of modern web scraping. It offers a comprehensive solution for developers and businesses looking to extract data from websites without the hassle of managing proxies, browser automation, or CAPTCHA solving.

At its core, ZenRows excels at bypassing CAPTCHAs and anti-bot measures, ensuring smooth data extraction from even the most protected websites. It provides automatic proxy rotation and management and seamlessly handles JavaScript rendering to access dynamic content.

ZenRows averages a near 98.7% success rate in accessing protected web pages. This level of reliability significantly improves scraper stability and efficiency. ZenRows eliminates the need for complex setups involving Selenium or other headless browsers by automating proxy management, CAPTCHA solving, browser fingerprinting, and more. This simplification reduces development time and enhances the overall performance of your scraping operations.

Let's demonstrate the power of ZenRows by scraping a heavily protected page: the G2 Reviews page.

To begin, log into your ZenRows account and navigate to the Request Builder page. Here, enter the target URL, activate Premium Proxies, and enable JS Rendering. Select Python as your programming language and choose the API connection mode.

building a scraper with zenrows
Click to open the image in full screen

With the settings in place, you can now use the generated Python code to make the request. The script uses the requests library to send a GET request to ZenRows' API, passing the target URL and necessary parameters.

After running this script, you'll receive the full HTML content of the page, effortlessly bypassing all anti-bot measures.

Output
<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8" />
    <link href="https://www.g2.com/images/favicon.ico" rel="shortcut icon" type="image/x-icon" />
    <title>Jira Reviews</title>
    <!-- ... -->
</head>
<body>
    <!-- other content omitted for brevity -->
</body>

Congratulations! This demonstration showcases ZenRows' ability to access even the most heavily protected websites with ease.

Conclusion

While Undetected ChromeDriver was once reliable, its limitations made it unsuitable for large-scale web scraping. The alternatives we've discussed (SeleniumBase's UC Mode, Nodriver, and ZenRows)offer unique advantages in tackling modern scraping challenges.

While SeleniumBase's UC Mode and Nodriver provide improved browser automation, web scraping APIs like ZenRows offer the highest reliability and simplicity. You'll be able to scrape uninterrupted no matter the protection level. Try ZenRows for free!

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