CCBot is the automated agent responsible for periodically crawling the public web to construct the Common Crawl corpus, a petabyte-scale dataset containing billions of web pages. It identifies itself via the CCBot user-agent string and adheres to the Robots Exclusion Protocol, respecting robots.txt directives to determine which URL paths it is permitted to access and archive.
Glossary
CCBot
CCBot is the web crawler operated by the Common Crawl Foundation to build and maintain a massive, open-source repository of web crawl data, which is frequently used as a primary corpus for training large language models.
AI CRAWLER IDENTIFICATION
What is CCBot?
CCBot is the web crawler operated by the Common Crawl Foundation, a non-profit organization that builds and maintains a massive, open-source repository of web crawl data frequently used to train large language models.
The resulting open data is a foundational resource for pre-training large language models, including GPT-3 and LLaMA. Unlike proprietary crawlers such as GPTBot or Google-Extended, CCBot operates under a non-profit, research-oriented mandate, making its crawl data a critical component of the public AI training infrastructure. Its behavior can be managed through standard bot management techniques, including rate limiting and IP reputation filtering.
CCBot & Common Crawl
Frequently Asked Questions
Essential technical answers about the Common Crawl bot, its identification, and how it interacts with enterprise web infrastructure for large language model training.
CCBot is the web crawler operated by the Common Crawl Foundation, a non-profit organization that builds and maintains an open, free repository of web crawl data. It systematically traverses the internet, downloading and storing raw HTML, text, and metadata from billions of web pages. The resulting corpus—typically released as monthly snapshots—is stored in the Web ARChive (WARC) format on Amazon S3 and is freely accessible to researchers, startups, and large corporations. This data serves as a foundational pre-training dataset for many large language models (LLMs), including early versions of GPT and numerous open-source models. CCBot identifies itself via the CCBot token in the User-Agent string and respects standard robots.txt directives and noindex meta tags. Its crawl frequency varies per domain based on page importance and change rate, but it generally revisits high-value pages every few weeks.
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About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
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