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  2. Web crawler - Wikipedia

    en.wikipedia.org/wiki/Web_crawler

    A Web crawler starts with a list of URLs to visit. Those first URLs are called the seeds.As the crawler visits these URLs, by communicating with web servers that respond to those URLs, it identifies all the hyperlinks in the retrieved web pages and adds them to the list of URLs to visit, called the crawl frontier.

  3. Crawl frontier - Wikipedia

    en.wikipedia.org/wiki/Crawl_frontier

    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.

  4. McAfee WebAdvisor - Wikipedia

    en.wikipedia.org/wiki/McAfee_WebAdvisor

    McAfee WebAdvisor, previously known as McAfee SiteAdvisor, is a service that reports on the safety of web sites by crawling the web and testing the sites it finds for malware and spam. A browser extension can show these ratings on hyperlinks such as on web search results. [1]

  5. Search engine scraping - Wikipedia

    en.wikipedia.org/wiki/Search_engine_scraping

    This is a specific form of screen scraping or web scraping dedicated to search engines only. Most commonly larger search engine optimization (SEO) providers depend on regularly scraping keywords from search engines to monitor the competitive position of their customers' websites for relevant keywords or their indexing status.

  6. Safety data sheet - Wikipedia

    en.wikipedia.org/wiki/Safety_data_sheet

    An example SDS, including guidance for handling a hazardous substance and information on its composition and properties. A safety data sheet (SDS), [1] material safety data sheet (MSDS), or product safety data sheet (PSDS) is a document that lists information relating to occupational safety and health for the use of various substances and products.

  7. Distributed web crawling - Wikipedia

    en.wikipedia.org/wiki/Distributed_web_crawling

    To reduce the overhead due to the exchange of URLs between crawling processes, the exchange should be done in batch, several URLs at a time, and the most cited URLs in the collection should be known by all crawling processes before the crawl (e.g.: using data from a previous crawl). [1]