How To Search For Words On A Web Page Mac
When most people talk about Internet search engines, they really mean World Wide Web search engines. Before the Web became the most visible part of the Internet, there were already search engines in place to help people find information on the Net. Programs with names like 'gopher' and 'Archie' kept indexes of files stored on servers connected to the Internet, and dramatically reduced the amount of time required to find programs and documents. In the late 1980s, getting serious value from the Internet meant knowing how to use gopher, Archie, Veronica and the rest.
- How To Search For Words On A Web Page Mac And Windows
- How To Search For Words On A Web Page Mac Firefox
- How To Search For Words On A Web Page Machine
- How To Search For Words On A Web Page Mac Book
Today, most Internet users limit their searches to the Web, so we'll limit this article to search engines that focus on the contents of Web pages.
In Pages on your Mac, search for words, phrases, numbers, and characters in a document, and automatically replace text with new content. You can search for specific words, phrases, numbers, and characters, and automatically replace search results with new content that you specify.
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Press Enter to search the page. Matches appear highlighted in yellow. You can see where all the matches are located on a webpage using the yellow markers on the scrollbar. Tip: You can also use the keyboard shortcuts Ctrl + f (Windows, Linux, and Chrome OS) or ⌘ + f (Mac) to quickly find a word or phrase. Search words or images. Open your Internet browser to a page where you want to search. When the page is loaded, press “CTRL + F” on your keyboard. In your browser a search tool will open. Oct 22, 2012 Can anyone telll me if it's possible to search for spefic words within a document or website. When I search for specific items in a search engine and the websites come up, I want to be able to search for the words when I click on the search engine results. Finds words that contain part (the stem) of the specified search word. For example, a search for opening finds instances of open, opened, opens, and openly. This option applies to single words and phrases when you search the current PDF, a folder, or an index created with Acrobat 6.0 or later. On a Mac “Find” in Safari. In Safari on a Mac, Command f, brings up the Find space in the top right of the page, under the URL bar. The word(s) you searched for get highlighted in yellow. Clicking on the Return key, takes you through to the next words. “Find” on Firefox on a Mac. In Firefox on the Mac, Command f opens the find box in the lower left corner of your page. Click on Next or Previous, links after the Search space.
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Before a search engine can tell you where a file or document is, it must be found. To find information on the hundreds of millions of Web pages that exist, a search engine employs special software robots, called spiders, to build lists of the words found on Web sites. When a spider is building its lists, the process is called Web crawling. (There are some disadvantages to calling part of the Internet the World Wide Web -- a large set of arachnid-centric names for tools is one of them.) In order to build and maintain a useful list of words, a search engine's spiders have to look at a lot of pages.
How does any spider start its travels over the Web? The usual starting points are lists of heavily used servers and very popular pages. The spider will begin with a popular site, indexing the words on its pages and following every link found within the site. In this way, the spidering system quickly begins to travel, spreading out across the most widely used portions of the Web.
Google began as an academic search engine. In the paper that describes how the system was built, Sergey Brin and Lawrence Page give an example of how quickly their spiders can work. They built their initial system to use multiple spiders, usually three at one time. Each spider could keep about 300 connections to Web pages open at a time. At its peak performance, using four spiders, their system could crawl over 100 pages per second, generating around 600 kilobytes of data each second.
Keeping everything running quickly meant building a system to feed necessary information to the spiders. The early Google system had a server dedicated to providing URLs to the spiders. Rather than depending on an Internet service provider for the domain name server (DNS) that translates a server's name into an address, Google had its own DNS, in order to keep delays to a minimum.
When the Google spider looked at an HTML page, it took note of two things:
- The words within the page
- Where the words were found
Words occurring in the title, subtitles, meta tags and other positions of relative importance were noted for special consideration during a subsequent user search. The Google spider was built to index every significant word on a page, leaving out the articles 'a,' 'an' and 'the.' Other spiders take different approaches.
These different approaches usually attempt to make the spider operate faster, allow users to search more efficiently, or both. For example, some spiders will keep track of the words in the title, sub-headings and links, along with the 100 most frequently used words on the page and each word in the first 20 lines of text. Lycos is said to use this approach to spidering the Web.
Other systems, such as AltaVista, go in the other direction, indexing every single word on a page, including 'a,' 'an,' 'the' and other 'insignificant' words. The push to completeness in this approach is matched by other systems in the attention given to the unseen portion of the Web page, the meta tags. Learn more about meta tags on the next page.
NOTE – Pages from different Web Browsers are shown here. Scroll down to see examples on the computer and the browser you use.
Despite my presence on the Web for many years, AND the fact that it’s always been on the Edit Menu, it was only recently I woke up to the search or “Find” option and command on web pages, documents, and PDFs. I was looking a web page directory with a listing of recorded phone calls. There was a summary of each call on the very long page. Someone pointed out that we could search specific topics simply by clicking on the Control Key, plus the letter “f” (on a PC) or the Command Key, plus “f” (on a MacIntosh computer). What a revelation for me!
Below are screen shots of where you will find the spaces to type in your desired word on three of the browsers most commonly used.
On Your PC
“Find” in Internet Explorer on a PC
When on a page in Internet Explorer on a PC, clicking on Controlkey plus “f” brings up a FIND section under the address bar top left. Once you type in the word or words for which you are searching open, your selected word(s) that are on the page will be highlighted in blue.
How To Search For Words On A Web Page Mac And Windows
“Find” in Firefox on PC
In Firefox the Find space that opens up is on the lower left.
“Find” in Google Chrome on the PC
In the Google Chrome Internet Browser, Control plus f brings up a blank rectangle in the upper right, with NO identifying name. Yet, it is waiting there for you to type in your desired search word or phrase. Then you’ll note, the first of the words on the page is highlighted in orange. Scroll down the page to check for others, highlighted in yellow.
On a Mac
“Find” in Safari
How To Search For Words On A Web Page Mac Firefox
In Safari on a Mac, Command f, brings up the Find space in the top right of the page, under the URL bar. The word(s) you searched for get highlighted in yellow. Clicking on the Return key, takes you through to the next words.
“Find” on Firefox on a Mac
How To Search For Words On A Web Page Machine
In Firefox on the Mac, Command f opens the find box in the lower left corner of your page. Click on Next or Previous, links after the Search space.
How To Search For Words On A Web Page Mac Book
Note – “Find” highlights all requested words that are in text form in the body of the page, comments (if a blog) and any text menu listings on the page. It will NOT “see” words that are part of an Image, i.e. a photograph with words within. Examples of the latter, where the words will not be seen, are in the right sidebar in the above pages.