Crawlmore

Crawlmore is a term used in the field of web crawling and data harvesting to describe a family of strategies and techniques that aim to increase the thoroughness of automated crawlers while maintaining performance and politeness. The central idea is to allow crawlers to “crawl more”—to index deeper or more frequently into sites without sacrificing stability or ethical constraints.

Origin and scope: The phrase has appeared in technical blogs and discussions about crawler optimization since the mid-2010s, often framed as an optimization approach rather than a single algorithm. In practice, crawlmore refers to adaptive depth controls, resource-aware scheduling, and prioritization that balances freshness, significance, and robots.txt constraints. It is typically implemented as a set of design principles rather than a single, universally adopted method.

Key components: Adaptive depth budgeting negotiates how far to traverse a domain given time and bandwidth; distributed or multi-threaded architectures share workload; recrawl planning assigns renewal times based on change frequency; and politeness mechanisms enforce rate limits and respect for robots.txt. Variants may emphasize rapid recrawling, language or region targeting, or domain-level load management.

Applications and considerations: When implemented carefully, crawlmore can improve coverage and data timeliness for large-scale archives and search systems. Potential drawbacks include higher bandwidth consumption, increased system complexity, and the risk of overloading servers if politeness policies are ignored. Ongoing evaluation is typically required to balance comprehensiveness with resource constraints.

See also: Web crawler, crawl budget, depth-first search, breadth-first search, robots.txt, data mining.