What Is the User-Agent “Amazonbot”? A Detailed Guide to Its Meaning, Why It Appears in Logs, How to Control It with robots.txt, and How to Identify It
- Amazonbot is a web crawler operated by Amazon.
- According to Amazon’s official explanation, Amazonbot is used to improve products and services, helps provide more accurate information, and in some cases may be used to train Amazon’s AI models.
- The official representative User-Agent string is
Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; Amazonbot/0.1; +https://developer.amazon.com/support/amazonbot) Chrome/119.0.6045.214 Safari/537.36. - Amazon respects robots.txt and interprets Allow / Disallow. On the other hand, it states that crawl-delay is not supported.
- This is especially useful for web managers, advertising and SEO operations staff, server administrators, media operators, e-commerce teams, and individuals running public websites. It is intended for people who saw an unfamiliar Amazon-related User-Agent in their access logs and felt uneasy, want to understand the relationship with AI training, or are unsure how to handle it in robots.txt or a WAF.
Introduction
When you look at access logs, you sometimes see User-Agents that are clearly different from ordinary browsers. One that has become especially noticeable recently is Amazonbot. From the name alone, you can guess that it is “probably Amazon’s crawler,” but it is worth organizing your understanding a bit before deciding what it actually accesses for, whether it should be treated like a search engine bot, whether it should be blocked, or whether it is better to allow it.
On Amazon’s official page, Amazonbot is described as a web crawler used to improve Amazon’s products and services. It also states that it helps provide more accurate information and that the collected content may be used to train Amazon’s AI models. This one point is easy to miss if you understand it only as a search-indexing crawler, and it is a very important issue in modern web operations. We are now in an era where site operators need to make decisions not only about search traffic, but also about the scope of content use and its relationship to AI training.
Amazon also documents not only Amazonbot, but other crawlers such as Amzn-SearchBot and Amzn-User. These have different roles. For example, Amzn-SearchBot is described as improving Amazon’s internal search experience, and Amzn-User as making accesses to fetch fresh information in response to user requests. So even if you see an “Amazon-related bot” in your logs, it is important not to lump them all together. If you specifically see the name Amazonbot, it is best to calmly interpret it as one specific crawler that Amazon officially documents.
In this article, I will carefully and clearly organize the basics of Amazonbot, why it appears in logs, how it differs from Amazon’s other crawlers, how to control it with robots.txt, how to identify it, and the key practical response points. I will try to avoid unnecessarily difficult wording so that it is helpful both for people familiar with server operations and for those who are not.
What Is Amazonbot?
Amazonbot is an official web crawler publicly documented by Amazon. On Amazon Developer, it is explained as: “Amazonbot is used to improve our products and services. This helps us provide more accurate information to customers and may be used to train Amazon AI models.” From this, we can see that it is not merely for technical verification, but is part of ongoing crawling related to Amazon’s information services and service quality improvement. What is especially important here is that the possibility of use for AI model training is explicitly stated. For site operators, this is related not only to access analysis or bot handling, but also to content licensing and publication policy.
The representative User-Agent string officially documented is in the following form:
Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; Amazonbot/0.1; +https://developer.amazon.com/support/amazonbot) Chrome/119.0.6045.214 Safari/537.36
Looking at this string, you can see that while it takes a Chrome-like browser format, it includes the identifier compatible; Amazonbot/0.1. In other words, rather than fully disguising itself as a normal browser and hiding its identity, it is better understood as a crawler that identifies itself in a recognizable form. In log analysis, this identifier alone is already quite helpful. Of course, User-Agent strings can be spoofed, so it is still necessary not to trust the string alone completely.
Amazon also publishes a public IP address list for Amazonbot. This is very useful in practice. In bot authenticity checks, instead of relying only on the User-Agent string, you can determine more reliably whether it is included in the published IP range, or whether DNS ties it back to Amazonbot, making it easier to distinguish from impersonation. Especially in security operations, the basic rule is not “it claims to be official, so it must be,” but rather to check both the claim and the network information.
If you had to describe Amazonbot in one sentence, it is an official public-web crawler operated by Amazon to improve its services and make use of web information. However, because its official use cases include possible AI training, it is better not to understand it only in the old sense of a “search engine crawler.” That is one of the newer aspects of crawler understanding today.
Why Does Amazonbot Appear in Logs?
Amazonbot appears in your access logs because your site is reachable from the outside and may be part of Amazon’s crawling targets. Amazon’s official explanation is concise, but from its context, it is natural to understand that Amazon collects public web information and uses it to improve its products and services, provide more accurate information, and in some cases as material for AI model training. Therefore, it is not especially unusual for Amazonbot to appear on publicly available news articles, product descriptions, FAQs, company information, blog posts, and similar pages.
What matters here is not to immediately conclude that seeing Amazonbot means an attack. Of course, because it is an automated external access, it should not be ignored from the perspective of server load or exposure control. But it is worth thinking about it separately from unidentified scrapers or clearly malicious access. Amazonbot is at least officially documented, with its User-Agent and IP information published, which makes it one of the more “visible” types of crawlers.
For example, suppose you had a log entry like this:
54.225.xx.xx - - [05/Apr/2026:09:42:18 +0900] "GET /articles/amazonbot-guide HTTP/1.1" 200 18452 "-" "Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; Amazonbot/0.1; +https://developer.amazon.com/support/amazonbot) Chrome/119.0.6045.214 Safari/537.36"
In this case, you can read three things: a normal GET to an article page, a 200 response, and a User-Agent containing the Amazonbot identifier. What you should examine here is not only the fact that “it came,” but also which page it visited, how often, what response it got back, and whether it also fetched other static files or images. Looking at those factors makes the meaning of the access much clearer. If it is a natural crawl of public articles, there may be little problem. But if it is hitting a staging environment or draft page that you intended to be non-public, then your exposure design likely needs review.
Also, the fact that Amazonbot is visible means, conversely, your site is in a state where it can be externally observed. Even pages with little human traffic may still be found by crawlers if they are public. Instead of seeing this only as something to worry about, it can be very practical to use it as an opportunity to inspect whether there is any unnecessary exposure.
The Difference Between Amazonbot, Amzn-SearchBot, and Amzn-User
When you read Amazon’s official page, you can see that Amazon documents at least three major web-crawler-related identifiers. The first is the main topic here, Amazonbot. The second is Amzn-SearchBot. The third is Amzn-User. All of these are “Amazon-related accesses,” but their roles differ. For that reason, it is not especially advisable to allow or block all of them uniformly without checking the name that appeared in the logs.
Amazonbot is used to improve Amazon’s products and services, helps provide more accurate information, and may also be used for AI model training. In other words, it has a fairly broad purpose. By contrast, Amzn-SearchBot is described as being used to improve Amazon’s search experience, and Amazon explains that allowing your content may make it appear in search experiences such as Alexa and Rufus. It is also explicitly stated that this one is not used for generative AI model training. That is a very important difference.
Amzn-User is access that supports user actions. For example, it may fetch live information from the web in response to an Alexa question. It also is described as not being used for generative AI model training. So according to Amazon’s official explanation, the one associated with possible AI training is Amazonbot, while Amzn-SearchBot and Amzn-User are at least officially not for that purpose.
This difference matters a great deal for content operators. For example, if you think, “I am fine with appearing in Amazon’s search experiences, but I do not want my content used for AI training,” then treating every Amazon-related User-Agent the same could result in controls different from what you intended. Conversely, if your policy is “I want to stop every kind of Amazon use,” then you need to organize it explicitly on a per-User-Agent basis. Understanding not only the name Amazonbot, but also how it differs from the surrounding crawlers is important in current operations.
How Can It Be Controlled with robots.txt?
Amazon officially states that it respects the Robots Exclusion Protocol. More specifically, it says that it interprets robots.txt directives such as user-agent, allow, and disallow, and that it fetches robots.txt on a per-host basis. It also explains that because it checks by host, example.com/robots.txt and site.example.com/robots.txt are treated separately. That means it is also easy to use if you want to separate policies by subdomain.
One important caution is that Amazon does not necessarily fetch robots.txt fresh every time; it may also use a cached copy from within the last 30 days. The official page explains that if it cannot retrieve the file, it may use a cached version from the past 30 days, and if it cannot retrieve the file at all, it behaves as if the file does not exist. Because of this, even if you change robots.txt, it may not be reflected immediately, and Amazon notes that it may take around 24 hours for changes to take effect. In practice, even if the logs do not stop immediately after a change, it is better to allow for some delay.
Amazon also says that when its crawlers access web pages, it respects link-level rel=nofollow and page-level directives such as noarchive, noindex, and none. Among these, the explanation for noarchive is especially notable: Amazon describes it as meaning the page should not be used for model training. This is a very important point. Traditionally, many operators may have thought of noarchive as something related to cached display, but in Amazon’s context it is explicitly interpreted as a directive not to use the page for model training.
However, Amazon also clearly states that crawl-delay is not supported. So even if you set crawl-delay expecting load control, it is not safe to assume that it will work for Amazonbot. If you want more direct control over access frequency, you should also consider server-side rate limiting, a WAF, CDN settings, and similar measures in addition to robots.txt.
As an example, you might use something like this:
User-agent: Amazonbot
Disallow: /
User-agent: Amzn-SearchBot
Allow: /
User-agent: Amzn-User
Allow: /
User-agent: *
Disallow:
In this example, only Amazonbot is blocked, while Amzn-SearchBot and Amzn-User are allowed. This reflects a policy such as “I want to avoid AI-training-related use, but I am willing to allow search experiences and user-driven live fetches.” Of course, in reality you should decide carefully according to your site’s purpose, agreements, and policy.
How Do You Tell Whether It Is the Real Amazonbot?
A very important operational point is not to assume authenticity from the User-Agent string alone. Amazonbot’s official User-Agent is published, but that string can easily be imitated by third parties. So it is somewhat dangerous to judge that “it said Amazonbot/0.1, so it must be real.” As with search-engine crawler verification, the basic approach is to combine network information and DNS checks.
According to AWS re:Post guidance, one method for identifying Amazonbot is first to perform a reverse DNS lookup on the source IP address and confirm that the resulting domain name is a subdomain of crawl.amazonbot.amazon. Then you perform a forward DNS lookup on that hostname and confirm that it resolves back to the original IP address. This is a very standard verification method. For example, if the access source IP reverses to something like 54-225-10-20.crawl.amazonbot.amazon, and forward resolution of that hostname returns the original 54.225.10.20, then the likelihood that it is the legitimate Amazonbot becomes much higher.
In addition, Amazon provides a public IP address list for Amazonbot. So in stricter operations, it is quite robust to verify using several conditions together:
“Does the User-Agent claim to be Amazonbot?”
“Does reverse DNS place it under crawl.amazonbot.amazon?”
“Does forward DNS return the original IP?”
“Is it included in the published IP ranges?”
In WAFs and bot management products as well, this way of verifying legitimate bots is commonly used.
This may feel like extra effort for small site operators, but from a security perspective it is very important. That is because scrapers and attack traffic pretending to be good bots are not rare. Do not identify by name alone; identify by verifiable evidence. This is the safest mindset for Amazonbot as well.
Should You Block It, or Allow It?
The answer depends on the purpose of your site. Amazonbot is an official crawler, it respects robots.txt, and Amazon publishes information to help verify its identity. In that sense, it is much easier to deal with than an unidentified crawler. However, because Amazon’s official explanation includes the possibility of AI model training, opinions will differ depending on how you feel about that point.
For example, if you operate a site with news articles or general explanatory pages that you want to circulate widely, allowing Amazonbot may be a reasonable choice. Since it may contribute to more accurate information delivery inside Amazon’s products or services, it is not necessarily a bad fit if you value exposure and discoverability. On the other hand, for publishers who want to minimize reuse of original content, media outlets that want to preserve member value, or operators who wish to avoid AI training use, Amazonbot deserves more careful consideration.
What is important here is that blocking Amazonbot is not the same thing as stopping the circulation of your public information altogether. Even if you control Amazonbot via robots.txt, your public pages remain public to other bots and to humans. So you first need to decide what exactly you want to protect. Is your concern AI training? Are you fine with appearing in Amazon search experiences? Do you want to allow user-driven live retrieval? Without that clarity, if you block everything uniformly, you might also lose discoverability or visibility that you would otherwise have wanted.
It is also important to remember that robots.txt alone is not a complete defense. robots.txt is a rule for cooperative crawlers. Amazon says it respects it, but malicious scrapers will not necessarily do the same. So information that truly must remain non-public needs stronger protection such as authentication, IP restriction, access control, and contractual protection. Controlling Amazonbot is best seen as one part of the design decision about how publicly available information may be used.
Practical Points Worth Checking
When you find Amazonbot, it is easiest in practice to organize your thinking around a few perspectives. First, check which pages it accessed. The type of content it is visiting—homepage, article page, category listing, image, PDF, RSS, and so on—can make the crawler’s intent easier to understand. For example, public articles may be natural, but if it is reaching a test directory you thought was private, you should suspect exposure.
Next, check what you returned. The HTTP status, title, meta tags, structured data, authentication presence, and image loading behavior are all part of your site’s “face” as seen from an external crawler. Especially in media operations, how titles, snippets, descriptions, and thumbnails are returned can directly affect external experiences. In practice, it is often much more important how an ordinary public page appears, rather than whether Amazonbot hit some special path.
It is also a good idea to check the consistency of robots.txt and meta tags. If robots.txt allows access but the page itself has noindex or noarchive, or vice versa, then your operational intent becomes unclear. Since Amazon explains that noarchive means not to use the page for model training, if you have any opinion at all about AI use, organizing this carefully now can reduce regret later.
And finally, verify whether it is genuine. Especially when creating allowlists in a WAF or excluding traffic from monitoring alerts, it is much safer to decide how to treat it only after checking not just the string, but also DNS and IP range information. Do not rush to judgment from a single log line. Looking just a little more carefully makes a big difference when dealing with good bots.
Summary
Amazonbot is an official web crawler operated by Amazon. It is used to improve Amazon’s products and services and provide more accurate information, and in some cases it may be used for Amazon’s AI model training. Because Amazon publishes its official User-Agent and IP ranges, and because it respects robots.txt and some meta tags, it is fair to say that it is a relatively visible and controllable crawler.
What should not be overlooked, however, is that Amazon documents not only Amazonbot but also Amzn-SearchBot and Amzn-User, and these have different purposes. In particular, it is Amazonbot that is explicitly associated with possible AI training; according to the official explanation, the others are not. Understanding this difference helps avoid the mistaken assumption that “everything Amazon-related is the same.”
The practical conclusion is very simple:
When you see Amazonbot, do not panic. First confirm that it is real. Next decide how you want Amazon to use your content. Finally, control it according to your policy using robots.txt, meta tags, and if necessary a WAF.
Thinking in that order makes it much easier to respond cleanly and consistently with your publication policy, without being led by emotion.
For media operators, corporate PR and web teams, server administrators, individual bloggers, and e-commerce businesses especially, Amazonbot is not just an “unfamiliar bot.” It is a very symbolic presence at the intersection of how public content is used, how it appears in search and information experiences, and how rules should be designed in the AI era. It would be wonderful if, instead of ending as a source of anxiety from one log line, it could become an opportunity to review how your public information is handled.