CCBot is the official user-agent token for the Common Crawl Foundation's web crawler, which systematically archives the public web to build a free, open repository of crawl data. This corpus, containing petabytes of raw HTML, text, and metadata, serves as a foundational training dataset for numerous large language models (LLMs) and academic research projects. The bot identifies itself via the CCBot token in HTTP requests and respects the Robots Exclusion Protocol (REP) defined in robots.txt.
Glossary
CCBot

What is CCBot?
CCBot is the user-agent token for the Common Crawl web crawler, a non-profit organization that maintains a massive, open repository of web crawl data often used for training large language models.
Site owners can control CCBot's access by targeting its user-agent token with Disallow directives in their robots.txt file, preventing the crawler from archiving specific paths. Unlike commercial crawlers like GPTBot, CCBot operates as a public good, and its archives are used by organizations globally for language modeling, statistical analysis, and web graph research. Blocking CCBot does not retroactively remove previously archived data from the Common Crawl corpus.
Key Characteristics of CCBot
The user-agent token for the Common Crawl web crawler, a non-profit organization that maintains a massive, open repository of web crawl data often used for training large language models.
Open Data Repository
CCBot is the crawler operated by the Common Crawl Foundation, a non-profit organization. Its primary mission is to build and maintain a free, open repository of web crawl data that is accessible to anyone. This corpus contains petabytes of data collected since 2008, including raw web page data, metadata extracts, and text. Researchers, academics, and corporations use this data for large-scale analysis and to train foundation models.
Crawler Identification
The official user-agent token for the crawler is CCBot. To identify the latest version, you should check the Common Crawl website, as the string may include version numbers (e.g., CCBot/2.0). It typically respects the Robots Exclusion Protocol (RFC 9309). You can manage its access by adding specific directives in your robots.txt file targeting the User-agent: CCBot.
LLM Training Data Source
The Common Crawl dataset is a foundational component of the pre-training corpora for many large language models (LLMs). Organizations use this open data to teach models grammar, facts, and reasoning patterns. However, because the crawl is a broad snapshot of the web, it requires significant post-processing, including deduplication, toxic content filtering, and quality scoring, before it can be used for effective model training.
Access Control via robots.txt
To prevent CCBot from crawling your site entirely, use a blanket disallow rule:
User-agent: CCBotDisallow: /
To block specific sensitive directories:
User-agent: CCBotDisallow: /private-data/Disallow: /internal/
Always verify your rules using a robots.txt Tester to ensure the syntax is correct and the paths are matched as intended.
Crawl Frequency and Impact
CCBot does not crawl sites as frequently as commercial search engine bots. Its crawl cycles are periodic, often occurring every few months. The crawler is designed to be polite and respects the Crawl-Delay directive if specified. However, because it fetches entire pages for archival, it can consume significant bandwidth on large sites. Monitoring server logs for CCBot activity helps in managing crawl budget.
Data Provenance and Opt-Out
If CCBot has already crawled your content, the data becomes part of the permanent Common Crawl archive. There is no retroactive deletion mechanism for the public dataset. To prevent future inclusion, you must implement a Disallow rule in your robots.txt. For content already ingested into derivative models, you may need to explore model unlearning requests with the specific AI developers who utilized the dataset.
Frequently Asked Questions
Essential technical questions and precise answers regarding the Common Crawl bot (CCBot), its identification, behavior, and the mechanisms used to manage its access to web resources for large-scale language model training.
CCBot is the user-agent token for the Common Crawl web crawler, a non-profit organization that builds and maintains a massive, open repository of web crawl data. It operates by systematically fetching publicly accessible web pages, parsing their content, and storing the raw HTML, extracted text, and metadata in the Common Crawl Corpus. This corpus is a multi-petabyte dataset released monthly and hosted on Amazon S3 as part of the AWS Open Data Sponsorship Program. The crawler respects the Robots Exclusion Protocol (REP) defined in RFC 9309, checking robots.txt files before fetching. Its primary function is not real-time indexing for a search engine, but rather creating a static, historical snapshot of the web for research and training purposes. The data is widely used to pre-train large language models (LLMs) like GPT-3, LLaMA, and Stable Diffusion.
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Related Terms
Key concepts for managing Common Crawl's CCBot and governing open-web data ingestion for AI training pipelines.
Common Crawl Foundation
The non-profit organization behind CCBot, maintaining a free, open repository of web crawl data. Since 2008, it has archived petabytes of raw web data, including page content, metadata, and text extracts. This corpus is a primary training source for large language models like GPT-3, LLaMA, and others. The foundation releases new crawls monthly, providing snapshots of the public web for research and commercial use.
Training Data Opt-Out
Blocking CCBot prevents future Common Crawl snapshots from including your content, but does not retroactively remove data from existing archives. For models already trained on Common Crawl data, explore model unlearning requests or data provenance verification techniques. Content owners should implement opt-out directives before the next monthly crawl cycle to minimize exposure.
Crawl-Delay and Rate Limiting
CCBot supports the Crawl-Delay directive to throttle request frequency. Example:
User-agent: CCBotCrawl-Delay: 10
This instructs CCBot to wait 10 seconds between requests, reducing server load while still allowing selective indexing. Combine with Allow directives to permit access to specific directories while protecting dynamic resources.
WARC File Format
Common Crawl stores data in WARC (Web ARChive) format, an ISO standard (ISO 28500) for preserving web crawls. Each WARC file contains raw HTTP responses, request headers, and metadata. The corpus is hosted on Amazon S3 as part of the AWS Open Data Sponsorship Program, enabling distributed processing via services like Amazon EMR or Athena without data transfer costs.
Crawl Anomaly Detection
Monitor for user-agent spoofing where malicious bots impersonate CCBot to bypass restrictions. Verify legitimate CCBot traffic by:
- Reverse DNS lookup on the requesting IP
- Confirming the IP resolves to
*.commoncrawl.org - Checking the full user-agent string matches the official format
Implement crawl anomaly detection in your SIEM to flag deviations from expected CCBot behavior patterns.

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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