How to Bypass Akamai WAF in Web Scraping: 2026 Guide

Key takeaways:

• Akamai uses five bot identification methods: IP reputation analysis, TLS fingerprinting, HTTP header inspection, JavaScript challenges, and behavioral analysis.
• You will need several tools, including reliable residential or mobile proxies and a fortified headless browser, to bypass Akamai.
• In 2026, mimicking human behavior and working around Akamai's Advanced Validation Framework is essential to scrape the web.

Akamai is the world's largest content delivery network (CDN) and cloud service provider. Among its services, it also offers a firewall to protect websites from bots and distributed denial-of-service attacks.

But it can also block web scrapers that are legitimately used for market research, price comparison, and large-language-model training. In these cases, learning how to bypass Akamai anti-bot protection gives you the ability to gather the required data. In this article, we'll explain how to do it.

What is Akamai bot protection?

Akamai uses its own for bot detection. The Akamai Bot Manager assigns a trust score based on learned behavioral patterns and HTTP request characteristics, which helps in managing bot and non-bot requests. The higher the score, the more likely it is that the visitor is a bot.

Bot detection happens before a user or web scraper reaches the website's server. It doesn't necessarily block all scrapers, but it uses several methods that complicate it. For example, Akamai may secretly slow down connections, making web scraping less efficient and costly.

It may also display fake data, so using it for business purposes can be risky. That's why understanding Akamai anti-bot protection for web scraping is essential. Otherwise, you may end up with a faulty data set and waste resources scraping at a very slow pace.

Why it blocks scrapers

Many websites aim to block web scrapers to limit information sharing with competitors. But in reality, web scraping is a very common practice, and the renowned brands like Google and Amazon do it on a large scale. However, there are rules to ensure it is ethical and aligns with digital data protection laws.

If you aim to bypass Akamai bot manager, make sure that you respect the website's policy. Wrongly configured web scrapers can slow the website down because they ask for a lot of data. That's one of the biggest and most common web scraping mistakes that can even cause financial damage to the website's owner.

Data privacy and copyright laws are another issue. It is generally accepted that scraping personally identifiable information, like social media profiles, is a bad practice. The same applies to copyrighted content, like audio and visual media or creative writing. If you scrape a unique website source code to clone it, you may be violating copyright laws and face legal trouble.

On the other hand, if you're scraping real estate pricing data or product descriptions, it is a legitimate market research crucial for business competitiveness. Also, websites have a robots.txt file that outlines which parts of the website are open for scrapers and which are not. It is always best to inspect it before gathering data, although it is not a legally binding document.

How to know that Akamai blocked your request

Several signs indicate that Akamai is blocking your connection. Firstly, if you cannot access the website and see a reference number like this:

#18.b64516c3.1715505412.1a2b3c4

It means you see the Akamai block page. However, you may also see very common connection codes, like the following:

• Error 403 Forbidden means you are treated as a bot and denied access.
• Error 429 Too Many Requests means your web scraper is going too fast and violates the website’s rate limiting.
• Error 404 Not Found can indicate that Akamai redirects your scraper to a non-existent website.

You may also see a more generic statement. Akamai sometimes displays "Pardon our interruption", "Access denied", and "An error occurred while processing your request." And keep in mind that sometimes it may manipulate web scraping results instead of blocking access. Data validation is crucial when dealing with this CDN.

How Akamai detects bots

Bypassing Akamai is considered hard, especially with the recent adoption of AI for bot detection. You also need to bypass traditional methods, like CAPTCHA challenges. Here are four detection methods that Akamai uses.

IP reputation & rate limits

This is one of the most common ways to identify scrapers. Each IP address has a trust score that CDNs inspect. For example, Akamai's detection system can identify datacenter IPs as suspicious, which is why using residential proxies can help improve the trust score of scraping requests.

Whenever Akamai notices a datacenter proxy, it almost always leads to an Akamai block page. That does not mean that datacenter proxies are not valuable. They are widely used for load testing, ad verification, and scraping unprotected public data. However, to bypass Akamai, you must use proxies with a good trust score.

For example, residential proxy servers have good trust scores. They come from a genuine person's device with an IP address issued by an internet service provider. Because it resembles a real user browsing, Akamai does not consider it a scraper, which is essential to bypass Akamai bot manager.

Alongside the IP trust score, you must also respect website rate limits. Firstly, you risk slowing the website down if you launch too many requests at it in a short time. It is a very bad web scraping practice. Also, data request rate analysis is a major Akamai detection method.

Humans typically don't interact with a website as quickly as a web scraper can send requests. Akamai can detect automated scripts by identifying consistent interaction patterns, such as rapid scrolling or repeated clicks on the same element. If it notices that a visitor is trying to grab dozens of data points at once, it marks the IP address as a bot, lowering its trust score or banning it entirely.

Browser fingerprinting

Browser fingerprinting is now one of the major online surveillance methods. Whenever you visit a website, your browser shares a lot of details with it, including hardware, software, and rendering information. If you don't use additional tools like the puppeteer-stealth plugin, Akamai will very likely identify a scraper by inspecting the browser fingerprint.

The Electronic Frontier Foundation, an organization known for its commitment to online security, carried out research on browser fingerprints. According to the document, "Only 1% had fingerprints that were seen more than twice" out of half a million browsers. That means the detection method is extremely accurate.

Akamai closely inspects browser fingerprints. Because web scrapers have different setups than casual internet browsers, Akamai can identify one very easily. It also checks SSL/TLS fingerprinting at the same time, which establishes a secure connection.

Once again, web scrapers without additional obfuscation behave differently from a simple web browser, likely resulting in restrictions. Also, misconfigured scrapers can display internal contradictions, like spoofing a resolution that is not possible on the used device.

Header & request analysis

Akamai proceeds by checking the header and the HTTP request. It inspects the user agent, which contains information about the device accessing the website. If your scraper uses, for example, Python's requests library, the user agent will give it away, often resulting in error 403.

Akamai checks for inconsistencies between user agents and header information. If it identifies that the header is coming from a macOS device, but your user agent states Windows, it can also block the connection. This is another internal contradiction we just mentioned.

A more recent method is its Advanced Validation Framework. If Akamai suspects bot-like behavior, but is unsure entirely, it issues a series of challenges. It checks for additional information and, if required, displays mini-games. While similar to CAPTCHA, these mini-games are fast to complete for humans, but hard to automate, which can significantly increase web scraping costs.

Behavioral detection

AI significantly improved behavior analysis, enabling it to accurately separate web scrapers from real humans browsing. AI inspects mouse movement, keystrokes, and scrolling patterns that are hard to mimic for web scrapers.

Consider that AI is capable of identifying micro-gestures, like human handshakes. Meanwhile, even a fully masked scraper typically moves in straight lines, so behavior analysis is now one of the most challenging scraping obstacles to bypass Akamai.

It also checks for referrer authenticity. Human visitors typically enter a website through its home page, search engine result, or through a link on another website. Meanwhile, scrapers can immediately jump to a page that hosts the required data, exposing itself.

Why most Akamai bypass attempts fail

Firstly, you don’t always have to deal with strict anti-bot measures when web scraping. Some websites, like governmental data portals, allow it freely.

However, to bypass Akamai anti-bot services, you will need a good understanding of web scraping obfuscation techniques. Here are some of the most common reasons why you may fail to bypass Akamai.

Datacenter proxies

Content delivery networks maintain databases of IP addresses. If they notice an IP address coming from a datacenter, they know it is not a human visitor.

Internet service providers, like AT&T and Verizon, assign IP addresses to devices used by humans. Meanwhile, a datacenter IP comes from providers like Google Cloud and AWS.

If you're scraping public data that is readily available without any restrictions, datacenter proxies are an excellent choice. They are typically faster and significantly more affordable compared to other types. However, for websites protected by Akamai, a datacenter IP with a low trust score results in immediate access block.

Missing headers

Each web scraping HTTP request has a header. It informs the web server who you are, where you come from, and what data you expect in the answer. While simpler scrapers use only user agents that include browser and operating system information, Akamai anti-bot services check beyond that.

Headers include information like preferred language. If you're scraping using a residential proxy in France, but sending an en-US language preference, it already triggers Akamai algorithms. The same applies to header order. Real browsers have their own header sending orders, while Python-based scrapers usually use alphabetical order.

No JS rendering

To reduce scraping costs and increase data extraction speed, some scrapers do not render JavaScript. They only download the raw HTML file, so it's like a simple text extraction. However, most modern websites are built with frameworks like React, which require fully rendering JavaScript elements before data extraction.

To bypass Akamai, no JavaScript rendering is a red flag, since the web browsers people use to surf the internet support it. Akamai also uses a simple JavaScript challenge to verify it.

It sends a simple script along with the initial HTML document, and if the scraper doesn't execute it, it blocks the following requests with a 403 error code. To bypass Akamai, your scraper must render JavaScript fully.

Best methods to bypass Akamai for web scraping

As you can see, it is challenging to bypass Akamai and its TLS fingerprinting, behavior analysis, and IP trust score lookup. But you will make things easier with the following three tools.

Use proxies

Proxies for web scraping are essential. Their popularity grew even further with the vast amounts of information that large language models demand. They are also invaluable for scaling web scraping, providing access to hundreds of thousands of IP addresses.

If your Akamai bypass goals require scraping multiple pages at once, proxies are non-negotiable in most cases. Akamai will easily ban a single IP address that attempts to gather data at scale. Having a large proxy server network at hand, you can quickly jump to another IP if you experience restrictions.

We recommend using premium residential or mobile proxies to bypass Akamai. These proxies must have a strong trust score, so it's best to pick a provider that regularly updates its pool. Also, mobile proxy IP's are most challenging to ban. Although an expensive option, mobile proxies are deployed to scrape the most protected sources, like Meta or TikTok.

Use a scraping API

Scraping API's are popular because they do all the heavy lifting. You don't have to take care of proxy management, rate limiting, headless browsers, and user agent and header spoofing. Instead of sending requests to the target website, you now send them to the scraper API.

A slight downside is that you lose control to customize your scraper. For example, if you plan on writing proprietary code that would make your scraper capable of targeting specific online resources, a scraping API is unnecessary.

But practice has shown that they can bypass Akamai with a very high success rate. It is always a cat-and-mouse game regarding highly sophisticated bot-detection methods, and scraper APIs are continuously updated to maintain data access.

Use headless browsers

A headless browser is a browser without a graphical user interface. It can perform actions like a real browser, executing JavaScript and managing cookies, but you cannot use it to read news sites.

It is widely used in web scraping because it uses significantly fewer device resources. You can also control them using Python libraries like Playwright, Selenium, and Puppeteer. However, standard headless browsers are now identified and marked as bots by Akamai.

Fortification simply means that headless browsers are patched up to avoid bot detection. For example, a standard headless browser sets the navigator.webdriver property to true, which real human browsers do not do. The fortified version also does not do that, and it mimics human-like behavior, and passes TLS fingerprinting checks.

Method comparison table

Best proxy types for Akamai bypass

Before concluding, let's quickly review two proxy types recommended to bypass Akamai.

Residential proxies

Residential proxies have a good trust score and are more affordable compared to mobile proxies. However, Akamai made improvements in detecting them also, using subnet analysis. If a high volume of requests comes from the same ISP range, it may block the entire subnet.

However, this is not common. In most cases, especially when scraping publicly available data, these proxies work very well. However, when using residential proxies, it is important to rotate IP addresses to avoid detection and maintain a low request rate from any single IP to mimic human behavior.

Also, we offer non-expiring residential traffic, rotating and sticky sessions, city-level targeting, and SOCKS5 protocol support. It will all make your data collection easier. And we occasionally provide discounts, which you can learn first on our Discord server.

Mobile proxies

Mobile proxies use 4G/5G/6G cellular IPs. At the same time, a thousand users can use the same mobile IP address, because they all connect to the same mobile tower. CDNs like Akamai are very reluctant to ban mobile IPs, because it could affect too many other users that have nothing to do with web scraping.

They are the best choice when you are dealing with extremely challenging restrictions, such as those imposed by social networks. Also, they are slower than residential proxies, so this option is optimized for the best bypass success rates, not raw speed. However, they are your most reliable choice if there's online data that you absolutely must reach.

Conclusion

It is challenging to bypass Akamai and requires strong web scraping experience, unless you plan to use a scraping API. But when done according to the methods outlined above, you can expect over 90% success rates. But that also requires managing TLS fingerprinting, behavior analysis, and all other protection methods Akamai uses.

If you use residential or mobile proxies, you have already solved the IP trust score requirements. Proxies also offer automatic rotation, so that each HTTP request can use a different IP address to avoid detection and scale. If you're interested in learning more about scraping websites protected by CDNs, we have a Datadome bypass guide for 2026.