The Ultimate Guide to Bypassing CAPTCHAs in Web Scraping in 2024

The Ultimate Guide to Bypassing CAPTCHAs in Web Scraping in 2024

CAPTCHAs pose a significant challenge in web scraping by blocking access to content and hindering your scraping efforts. Thus, it is critical to bypass them if you want to extract data from websites. Zenrows solves this challenge by offering advanced CAPTCHA bypass features in a single API call. In this blog, we’ll discuss how to avoid CAPTCHAs in web scraping, including how to solve CAPTCHA with Selenium and get the data you need. Let’s begin.

All you need to know about CAPTCHAs

CAPTCHAs are security techniques that help websites distinguish between human visitors and automated bots. They prevent malicious activities such as brute-force attacks by validating the visitor’s identity.

Types of CAPTCHAs

Websites use different types of CAPTCHAs to protect their data.

Text-based CAPTCHAs: These CAPTCHAs include twisted or jumbled letters and numbers that users need to type accurately.


Image-based CAPTCHAs: These CAPTCHAs prompt users to identify specific patterns or objects in pictures.


Checkbox CAPTCHAs: The users need to check a box to verify they are human.


Invisible CAPTCHAs: These work in the background to identify bot behavior without requiring any user action.


Audio CAPTCHAs: These CAPTCHAs help visitors who cannot solve text or image-based CAPTCHAs.


How do CAPTCHAs work?

CAPTCHAs work by presenting tests that are easy for humans but challenging for bots. These tests generate different challenges which are solved by the user. The server verifies the user’s response and checks if it matches the expected solution. If the response submitted is accurate, the user is granted access.

Why are CAPTCHAs obstacles in web scraping?

CAPTCHAs block automated bots from accessing and extracting information from websites. When a user comes across a CAPTCHA, it halts the scraping process. Even if the user manages to access the website, unusual activities trigger CAPTCHA verification tests, preventing scraping.

Technical ways to avoid CAPTCHAs during web scraping

Here are some technical ways that can help you to prevent CAPTCHAs during web scraping:

  1. CAPTCHA solvers: They automatically solve CAPTCHAs during web scraping by analyzing and decoding the content of CAPTCHAs. These integrate into workflows making it easy to bypass CAPTCHAs during scraping.
  2. Smart proxy: A smart proxy modifies IP addresses of the scraping bot. By simulating users who access the website, you can deal with CAPTCHAs that are activated due to doubtful requests. Switching between smart proxies periodically makes it tough for web pages to monitor and obstruct scraping activities.
  3. Optical character recognition: This technique works for image-based CAPTCHAs. It uses machine learning algorithms to identify and interpret text from images, facilitating retrieval of text from CAPTCHA images. Integrating libraries such as Tesseract (open-source OCR engine) to web scraping script allows extraction of characters from images.
  4. Machine learning algorithms: Use frameworks such as PyTorch and TensorFlow to train machine learning models with deep learning methods. These models are trained to recognize different patterns such as character recognition, character segmentation, text patterns, and object recognition. Next, adding the model to the web scraping script makes it easy to recognize patterns in CAPTCHAs and solve them.
  5. Headless browsers: Headless browsers mimic human interactions on the website, including handling cookies and rendering web pages. Since they have control over browsing context and can handle AJAX-loaded content, headless browsers make scraping scalable.

Manual ways to deal with CAPTCHAs

While the technical solutions offer automation, manual methods can complement these efforts to scrape CAPTCHAs.

  1. Get help from experts: You can hire experts or outsource to a third-party company for efficient CAPTCHA handling.
  2. Simulate human-like interactions: While scraping, imitate human movements such as mouse movements, scrolling, and random delays between actions to mimic human interactions. For instance, sending too many connection requests simultaneously may activate anti-scraping protocols.

Tips for web scraping

Now that you know the technical and manual methods for avoiding CAPTCHAs, here are some practical tips for successful web scraping.

  1. Avoid making rapid requests to the server, as this may block your web scraper. When your requests slow down, it indicates frequent requests are overloading the server.
  2. Accessing websites from IP addresses beyond their defined geographic demographics may attract unwanted attention. Understand how local users engage with websites and use localized proxies to bypass blocking methods and scrape the website successfully.
  3. Avoid honeypots, deceptive elements placed by website owners to trap web scrapers. These are generally invisible to website visitors and are in the form of either camouflaged or invisible links.
  4. Reverse engineer anti-bot techniques, which use complex algorithms to understand request patterns, analyze user behavior, and identify other traits of automated processes. Therefore, you must have a solid understanding of web technologies such as JavaScript, network security, and CAPTCHA analysis to reverse engineer these systems.


CAPTCHAs are designed to protect websites, but they become a challenge for web scrapers. However, with the right methods, expertise and web scraping tools, you can bypass CAPTCHAs and extract the data you need. You can use both technical and manual methods to bypass CAPTCHAs. By understanding and implementing the techniques in this article, you can easily bypass CAPTCHAS and extract data seamlessly.