Companies by location and industry: site:/company inanchor:chicago inanchor:”Technology, Information and Internet”.Articles written in 2020: site:/pulse inanchor:2020 -intitle:2020.Recent jobs with little competition: site:/jobs/view sourcer “be among the first 25 applicants” -“no longer”.People with no current job (at the crawl time) or those who hide the employment section on public profiles: site:/in -present.Recommended members: site:/in “recommendations received”.Unemployed or Recent Job Changes: site:/in inanchor:walmart business analyst – intitle:walmart.Here are seven sample X-Ray searches which may give you additional ideas on X-Raying LinkedIn: The Complete LinkedIn X-Ray Masterclass (A Benefit for Ukraine) There is a wealth of ways to X-Ray LinkedIn! Please join Mike Santoro and me this Thursday for (I would be curious to hear what your strategies might be maybe there will be another post.) Then, collect the names and proceed to test. Having that in mind, by manipulating additional keywords in the above X-Ray string, you can land on lists of “truly” unique names in the locations and industries of interest. For example, these are two separate directories: These directories are different if there is an addition to the last name, like a certification or degree abbreviation. The “see others named” links appear on public profiles when there is a /pub/dir directory. However, there is a subtlety that may lead you to finding non-unique names with the string. (I came up with the search first, considered it fun but perfectly useless, and then thought of its application I am describing.) How do you find unique names? Since LinkedIn has the phrasing “see others named” on public profiles if other profiles with the same name exist, I first thought that this X-Ray would bring up unique names: Running a few sample sets will test the aggregator. Enter a long OR string of the names (use a copy of LinkedIn Boolean Builder also, try the resulting search string on LinkedIn itself to verify that each name finds just one profile). Hopefully, the aggregator will allow to mass-search for these professionals. A match? Compare the rest of the data to see if the companies and titles match those on LinkedIn or whether they are outdated in the aggregator.No results? The person is not in the database.
#BOOLEAN SEARCH OPERATORS CHEAT SHEET FULL#
If a combination is unique (or even unique only in a given industry and location), then searching by the full name within an aggregator will reveal:
My idea is to run searches for unique names.
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