In the past, when websites were relatively simple and it was easy to scrape data from a technical standpoint, blocking access to scraping tools was sufficient by checking the quantity of requests from a specific IP or user agent and combining it with a well-configured robots.txt file. In the past and present, solutions such as proxy IP rotation and modifying settings for headless crawlers like Scrapy have been enough to overcome blocking challenges and obtain the desired data.

 

However, the increasing number of crawler programs and their fraudulent usage behaviors have prompted larger budget websites to adopt more complex and harder-to-bypass anti-scraping solutions to counter them. These systems typically rely on two main factors:

1. Artificial intelligence to detect abnormal user behavior.

2. Active fingerprint analysis.

 

Behavior analysis is particularly helpful when blocking fraudulent robots, such as those attempting to quickly purchase the latest sports shoe series or launch brute force attacks against website credentials.

 

Most of the other information used for fingerprint recognition comes from your browser settings and the browser's reaction to active fingerprint recognition techniques like Canvas and WebGL.

 

In general, if you attempt to scrape a website protected by modern anti-bot solutions, you cannot use solutions like Scrapy, but you need to use a network driver or a real browser to bypass the protection.

 

In these cases, providing a reasonable computer setup with no deviations in the settings is crucial. Creating fingerprints that appear as legitimate and effectively extracting data from the website using a multi-account browser is key.

 

How can you perform web scraping using a multi-account browser?

 

1. Create accounts:

First, download the software from the Bit Browser official website and register an account. Bit Browser provides users with a free window environment, and once you successfully register and log in to the platform, you can start configuring your browser profiles.

 

2. Configure browser profiles:

Use browser profiles to simulate real user behavior and ensure uniqueness. Select create a new browser window and create the corresponding profile for it. By changing information like the user agent, fingerprint, and IP address in the profile, you can make the profile appear more genuine and reduce the risk of detection.

 

3. Set up proxies:

You can also adjust the proxy settings of the browser profile to further decrease the likelihood of detection. By doing so, you can use a different IP address each time you visit a website, making it harder for the website to monitor your online activities.

 

4. Start scraping:

Once you have set up proxies and browser profiles, you can begin web scraping. You'll need to write a web scraping script using a programming language like Python. This script will access the website and use the multiple browser profiles you created to extract the desired data.

 

5. Monitor your activity:

To ensure that the website doesn't detect your web scraping activity, it's important to closely monitor the behavior of the website. Bit Browser offers Robotic Process Automation (RPA) features that you can use to periodically carry out checks to ensure that your actions don't raise any alerts.

 

Using a multi-account browser provides a method for creating and managing multiple browser profiles, which is useful for avoiding detection. By rotating different browser profiles, it becomes more difficult for platforms to detect patterns of scraping activity, thereby mitigating risks.