
AI Crawler List: Every Bot, What It Wants, and How to Block It
An AI crawler list of all 62 user-agent strings, reconciled against operator docs and robots.txt telemetry, plus the bots and tokens no directory covers.
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David is the CTO of TechnologyChecker, responsible for the engineering and architecture behind the platform's crawling infrastructure. Before joining TechnologyChecker, he spent five years at Google on the Search team, where he worked on large-scale crawling and indexing systems that shaped his approach to building high-performance data infrastructure.
He oversees the detection systems that successfully crawl 29.9M live business domains per sweep, ensuring accurate and timely identification of technology stacks across the web. His work focuses on scalable data pipelines, real-time processing, and maintaining detection accuracy across HTTP headers, JavaScript libraries, DNS records, and HTML patterns.
Based in Edinburgh, David is a devoted single malt whisky enthusiast when he's not architecting distributed systems.
Written from real expertise — every post adds first-hand know-how and original insights.
Content effort estimates the hours David spent researching and creating each post. Every article is written in David’s field of expertise, so it carries first-hand know-how and unique insights — not commodity information rehashed from elsewhere.

An AI crawler list of all 62 user-agent strings, reconciled against operator docs and robots.txt telemetry, plus the bots and tokens no directory covers.

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