Online Shop Server Logs for Bot Traffic and Web Usage Analysis (Dec 2025) Anonymized

This dataset contains anonymized web server access logs from a medium-sized Polish e-commerce platform, recorded in December 2025 and formatted according to the Combined Log Format. The dataset includes 178,939 HTTP requests and preserves structural and behavioral characteristics of web traffic while removing or pseudonymizing all potentially identifiable information. Data structure Each log entry contains the following fields: Client IP address (pseudonymized), RFC1413 identity field (pseudonymized if present), Authenticated user field (pseudonymized if present), Timestamp, HTTP request (method and sanitized URI), HTTP status code, Response size, Referrer (query parameters removed), User-Agent (pseudonymized). Query strings and fragment identifiers were removed from request URIs and referrers. Potential identifier-like tokens (e.g., UUIDs, long hexadecimal strings, token-like substrings) were masked. IP addresses and User-Agent strings were replaced with stable pseudonyms to preserve session-level behavioural consistency while ensuring privacy protection.