AmazonBot: Understanding Amazon's Web Crawler for AI and Commerce

AmazonBot uses several user-agent strings depending on its function. The primary identifiers include Amazonbot/1.0 for general web crawling, AlexaBot/1.0 for Alexa knowledge base updates, and Amazon-AdBot for advertising-related crawling. Each user-agent serves a distinct purpose with different crawl priorities and behaviors (Amazon, 2025).

The AmazonBot family covers multiple use cases. Amazonbot/1.0 collects data for Amazon's generative AI models including Amazon Q and other AWS AI services. AlexaBot feeds the Alexa knowledge graph with current information. Amazon-AdBot crawls for advertising relevance and product matching. Understanding which user-agent corresponds to which purpose allows operators to set granular access policies (Cloudflare, 2025).

AmazonBot crawls at moderate but sustained rates, typically 2 to 8 requests per second. The crawler focuses on ecommerce sites, product pages, reviews, and informational content. AmazonBot respects robots.txt and supports standard crawl control mechanisms. During initial site discovery, crawl rates may be higher as the crawler maps the site structure before settling into regular refresh cycles (Jetpack, 2025).

AmazonBot supports the Amazonbot user-agent token in robots.txt. Operators can control access using:

User-agent: Amazonbot
Disallow: /private/

Amazon also provides a separate opt-out mechanism through its AWS AI services portal for publishers who want to prevent content from being used in specific AI products while allowing general crawling. Multiple user-agent tokens enable fine-grained control across Amazon's different crawler purposes.

AmazonBot requests include specific HTTP headers that operators can use for identification beyond the user-agent string. The crawler supports conditional GET requests with If-Modified-Since and If-None-Match headers, reducing bandwidth consumption for unchanged content. AmazonBot also advertises its crawl capabilities via the Accept header, indicating support for HTML, XML, and JSON content types.

Review your access logs for the various AmazonBot user-agent strings and categorize the traffic by purpose. Implement separate robots.txt rules if you want to differentiate between Amazon AI training access and Alexa knowledge base updates. Add AmazonBot to your AI crawler monitoring dashboard for ongoing traffic analysis.

Citations: Amazon (2025) AmazonBot Documentation; Cloudflare (2025) AI Crawler Management Guide; Jetpack (2025) AI Crawler Traffic Analysis Report.