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One of the conclusions was that if the crawler wants to download pages with high Pagerank early during the crawling process, then the partial Pagerank strategy is the better, followed by breadth-first and backlink-count. However, these results are for just a single domain. Cho also wrote his PhD dissertation at Stanford on web crawling. [11]
Search engine crawlers may look at a number of different factors when crawling a site. Not every page is indexed by search engines. Not every page is indexed by search engines. The distance of pages from the root directory of a site may also be a factor in whether or not pages get crawled.
In addition, ontologies can be automatically updated in the crawling process. Dong et al. [15] introduced such an ontology-learning-based crawler using support vector machine to update the content of ontological concepts when crawling Web Pages. Crawlers are also focused on page properties other than topics.
Sometimes, data searched contains both database content and web pages or documents. Search engine technology has developed to respond to both sets of requirements. Most mixed search engines are large Web search engines, like Google. They search both through structured and unstructured data sources. Take for example, the word ‘ball.’
Googlebot is the web crawler software used by Google that collects documents from the web to build a searchable index for the Google Search engine. This name is actually used to refer to two different types of web crawlers: a desktop crawler (to simulate desktop users) and a mobile crawler (to simulate a mobile user).
Architecture of a Web crawler. A crawl frontier is one of the components that make up the architecture of a web crawler. The crawl frontier contains the logic and policies that a crawler follows when visiting websites. This activity is known as crawling.