Overcoming Obstacles: How to Bypass Blocks in Web Scraping

Facing Defenses: Strategies for Ethical and Effective Web Scraping

By Hugo Luque & Erick Gutierrez

6 min read | November 28, 2023


Web scraping has become an essential tool for online data collection. However, due to its growing popularity and, at times, unethical use, many websites have implemented defensive measures to restrict or block this practice. This article aims to explore the challenges of scraping, identify when you have been blocked, and provide solutions and ethical considerations when facing these challenges.

How to Know If You Have Been Blocked?

Detecting whether you have been blocked is the first step before seeking solutions. Being blocked is not always apparent, and sometimes, it can manifest in subtle ways. Below are some of the most common indicators that you’ve been blocked or restricted:

  1. Unusual HTTP Responses: HTTP responses inform you about the status of your request. While a 200 code means everything is fine, other codes suggest problems.

    Common indicators:

    • 403 Forbidden: Indicates that the server understood the request but refuses to fulfill it. It’s a usual indicator that the server has identified your behavior as scraping and has blocked your access.
    • 429 Too Many Requests: You’ve sent too many requests in a short period and have been temporarily blocked.
  2. Constant Redirects: Instead of blocking you directly, some sites will continuously redirect you, making data collection difficult.

    Common indicators:

    • Being repeatedly redirected to the homepage.
    • Being redirected to an error page or a page asking you to verify your identity.
  3. CAPTCHAs: CAPTCHAs are tests designed to distinguish between human users and bots. If a website detects suspicious behavior, it may require you to complete a CAPTCHA before proceeding.

    Common indicators:

    • Frequently seeing CAPTCHA challenges after making several consecutive requests.
    • Messages asking you to verify that you’re not a robot.
  4. Missing Content: In some cases, instead of receiving an explicit error, you simply won’t see the expected content. This can be harder to detect as the page appears to load correctly.

    Common indicators:

    • Blank areas where the main content should appear.
    • Generic messages like “Access Denied” or “Content Not Available.”

Each website may have its own way of handling scraping requests, so it’s crucial to be attentive to these and other less common indicators. Adaptability and the ability to adjust your methods based on server responses are essential.

How To Deal With Different Defensive Measures

Many sites have implemented defensive measures against scraping, whether to protect their data, reduce server load, or enhance security. Fortunately, there are methods to bypass these blocks that do not violate these sites’ policies.

  1. Use of Headers

    • Challenge: Some websites block requests based on the user-agent header because many scraping tools use a default user-agent that is easily identifiable.

    • Solution: Modify the headers of your requests to simulate a real web browser. Regularly change the “User-Agent” to emulate different browsers and operating systems.

    • Recommendation: Scrapy, BeautifulSoup4, and Selenium allow for easy customization of request headers. Scrapy is lighter and may be more suitable if you only need header customization without requiring interaction with dynamically loaded content.

  2. Proxies

    • Challenge: After a certain number of requests from a single IP address in a short time, websites can implement temporary or permanent bans on that IP.

    • Solution: Use proxies to distribute your requests through different IP addresses. Consider using rotating proxies to change the IP after a set number of requests automatically.

    • Recommendation: Scrapy excels here, thanks to its ability to integrate with proxy services and rotate IPs easily. While you can also configure Selenium to use proxies, Scrapy offers a more direct and efficient approach.

  3. Authentication and Logins

    • Challenge: Some sites require authentication or login to access specific data.

    • Solution: Use tools like Selenium, Scrapy, or techniques with requests and BeautifulSoup to automate the login process. With Scrapy, you can leverage its built-in capabilities for handling authentications. However, be aware that automated authentication may violate the terms of service of some sites.

    • Recommendation: Selenium is the go-to tool for this scenario. By simulating a real browser, it can interact with forms and login sessions easily. While Scrapy also has capabilities for handling authentication, Selenium is more intuitive in situations that require more complex interactions.

  4. Evading CAPTCHAs

    • Challenge: CAPTCHAs are tests designed to determine if the user is human. They are common on sites that have experienced intensive scraping.

    • Solution: Although some services and tools claim to “solve” CAPTCHAs automatically, their effectiveness may vary. An alternative is to slow down your requests to avoid triggering the CAPTCHA in the first place. Another option is to use human-solving CAPTCHA services, but this can be costly and ethically questionable.

    • Recommendation: Selenium is the best choice due to its ability to interact with CAPTCHAs, especially when integrated with services that solve them. Scrapy may face more difficulties in this scenario unless you combine it with other tools or services.

  5. Waiting Times

    • Challenge: Rapid scraping can be detected and blocked.

    • Solution: Implement delays between your requests. Not only does this reduce the risk of being blocked, but it’s also more server-friendly, ensuring that you’re not negatively affecting the website’s performance for other users.

    • Recommendation: Both Scrapy and Selenium offer options for implementing delays between requests. The choice here will depend more on the overall context (e.g., if you’re also dealing with dynamically loaded content, Selenium might be more suitable).

  6. Detection of Dynamic Content

    • Challenge: Many sites now load content dynamically using JavaScript, making data extraction more challenging using static methods.

    • Solution: Use tools like Selenium or Scrapy with Splash to interact with web pages as a real browser would, allowing JavaScript to run and content to load.

    • Recommendation: Selenium is ideal for sites relying heavily on JavaScript to load content, as it operates like a real browser. However, if the site uses JavaScript sparingly, Scrapy with a JavaScript rendering service like Splash can be a more resource-efficient alternative.

Conclusion

Web scraping is a powerful tool, but it comes with challenges. By understanding potential blocks and how to address them, you are better prepared to collect data effectively and ethically. Always remember that with great power comes great responsibility, and it’s essential to approach scraping with respect and consideration for the websites and the information they provide.

At Bitmaker we want to share our ideas and how we are contributing to the world of Web Scraping, we invite you to read our technical article Page to Page: Mastering Pagination in Web Scraping