www-collector-e
www-collector-e is a legitimate web crawler operated by OpenAI, first announced in August 2023 as part of their official crawler suite documented at https://openai.com/bot. Its purpose is to systematically collect publicly accessible web content at high volume for training GPT-series language models, including GPT-4 and future iterations. Unlike GPTBot which targets curated editorial sources, www-collector-e focuses on broad, diverse data across many domains to improve factual knowledge and linguistic variety.
The bot sends HTTP GET requests with a User-Agent string of Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko); compatible; www-collector-e/v1.0. It operates at a moderate crawl rate of one request every few seconds, respects Accept-Encoding: gzip and Connection: keep-alive, and uses HTTP/1.1 with an Accept header for text/html,application/xhtml+xml. IP addresses originate from OpenAI’s ASN (AS14618) hosted on Microsoft Azure, and the crawler parses HTML, PDF, and plain text content, following links to a configurable depth of typically 3–5 hops. OpenAI publishes IP ranges and crawl behavior details in their official policy document at https://openai.com/bot.
OpenAI explicitly states that www-collector-e fully honors standard robots.txt directives, including Disallow and Crawl-delay rules. Webmasters can block the bot by adding User-agent: www-collector-e with Disallow: / to their robots.txt. No documented cases of non-compliance exist; OpenAI audits adherence and provides a From header ([email protected]) for feedback. The bot respects Crawl-delay values when specified.
The primary identifier is the User-Agent string: Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko); compatible; www-collector-e/v1.0, with possible version suffixes like v1.1. The bot also sends a From header containing [email protected]. IP ranges fall within the 20.0.0.0/8 block (Microsoft Azure) and are listed in OpenAI’s published IP list. Behavioral fingerprints include consistent inter‑request intervals of 3–5 seconds and sequential URL crawling without randomization.
Collected text data is used exclusively for training and improving OpenAI’s language models, focusing on semantic understanding, factual accuracy, and linguistic diversity. OpenAI states they do not intentionally collect personally identifiable information (PII); automated filters remove low‑quality or harmful content before processing. The data feeds into model training pipelines for GPT‑4 and future versions, subject to OpenAI’s data usage policy at https://openai.com/policies.
Rate limiting is recommended because multiple concurrent instances from OpenAI’s infrastructure can generate cumulative request volumes that overwhelm smaller servers. Threshold‑based blocking (e.g., 10 requests per minute per IP) protects web applications without fully excluding the beneficial crawler, as OpenAI itself advises site owners to implement server‑level rate limits rather than outright blocking.
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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the bots listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.
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