blogscope
BlogScope originates from the University of Toronto’s Department of Computer Science, developed as part of a research project led by Nick Koudas and Zografoula Vagena, first described in a 2006 paper “BlogScope: A System for Online Analysis of Weblogs”. The crawler’s primary purpose is to continuously monitor and index blog posts, comments, and trackbacks from the public blogosphere to feed a real-time analytics platform that tracks trending topics, sentiment, and citation patterns across millions of weblogs.
The BlogScope crawler employs a distributed, multi-threaded architecture that polls known blog feeds (RSS/Atom) at intervals ranging from 15 minutes to several hours, depending on the blog’s update frequency. It also performs deep-page crawling on non-feed-enabled blogs by following internal links, respecting a maximum crawl depth of 10 levels. The bot originates from IP ranges allocated to the University of Toronto (128.100.x.x and 142.150.x.x), and its requests are sent over HTTP/1.1 with a default concurrency of 4 simultaneous connections per host. It uses conditional GET requests (If-Modified-Since and ETag headers) to minimize bandwidth consumption. Official documentation notes that the crawler obeys a default crawl delay of 5 seconds between requests to a single domain.
Based on the published source code and research papers, BlogScope fully respects robots.txt directives, including both Disallow and Crawl-delay fields. The system reads and caches robots.txt for each domain before initiating any crawl, refusing to fetch pages that are explicitly disallowed. The developers explicitly state that compliance is enforced at the scheduler level to avoid overloading web servers.
The primary User-Agent string is BlogScope/1.0 (crawler; http://blogs.utoronto.ca/; [email protected]), though versions may include “BlogScope/2.0” in later deployments. Additional fingerprints include a Referer header of “http://blogs.utoronto.ca/” and an Accept header prioritizing text/html, application/xhtml+xml. The bot does not send a custom Accept-Encoding header but accepts gzip compression by default.
Collected blog content is processed by the BlogScope analytics engine to generate time-series trend graphs, sentiment scores, and influence metrics (e.g., number of incoming links). The data is used solely for academic research purposes, public trend visualization on the project website, and as a testbed for information retrieval algorithms. No commercial resale or third-party access to raw crawl data has been documented.
Although BlogScope is legitimate and respects robots.txt, its aggressive polling frequency—especially on high-traffic blogs with frequent updates—can cause server load spikes. Rate limiting is recommended because the bot’s distributed crawler may simultaneously request multiple pages, and threshold-based blocking (e.g., >20 req/min) prevents resource exhaustion while preserving access for the research crawler.
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