Tag Archives: Bing X-Ray

What’s the most effective way to X-Ray search LinkedIn?

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I’ve recently come across some blog posts and some Boolean Strings discussions on LinkedIn that inspired me to go back and tinker with searching LinkedIn via Google and Bing.

For example, I continue to see people talk about:

  1. Whether or not you should use “pub” and/or “in” (e.g. site:linkedin.com/in | site:linkedin.com/pub)
  2. Whether or not you should use -dir
  3. Using country codes in site: searches
  4. Using different phrases to target public LinkedIn profiles – e.g., “people you know”

My first reaction when people are curious about the most effective ways of retrieving public LinkedIn profiles is to encourage them to experiment on their own first instead of looking for answers to copy and paste. Quite literally 99% of everything I know about sourcing (and recruiting!) I learned through being curious and experimenting.

People learn by doing, and more specifically by failing/struggling, and not by copying and pasting somebody else’s work. Continue reading →

How I Search LinkedIn to Find and Identify Talent

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Would you like to know how I search LinkedIn when sourcing for talent?

I don’t have a premium LinkedIn account, so you may be surprised to learn that I don’t X-Ray search LinkedIn all that often.

I’ll tell you why in a moment, but first I would like to share my inspiration for this post.

I recently read a great post that addressed an issue with X-Ray searching LinkedIn and that pointed out that pattern recognition is critical to effective online sourcing.

I could not agree more – truly dynamic pattern recognition is something I think is unique to humans and is something that I believe cannot be replicated by applications claiming to leverage artificial intelligence, semantic search, and Natural Language Processing (NLP). I could elaborate further on this topic, but that would unfortunately bore 98% of my readers, so I will save it for another post that they can choose not to read later. :-)

Suffice it to say I wholeheartedly agree that is it more important to have the right investigative thought process than to have any specific Boolean search string or pre-built X-Ray search.

Getting back to how I specifically search LinkedIn to find people – you first need to understand some of the significant issues associated with using Internet search engines in an attempt to find public LinkedIn profiles. In other words, you should know they “why” before the “how.”

As an added bonus, you’ll also find that I’ve discovered that Bing and LinkedIn apparently don’t play well together anymore, and I’ll issue a LinkedIn Sourcing Challenge to the international sourcing and recruiting community to crowdsource the solution. Continue reading →

Update Your Bing X-Ray Searches of LinkedIn to Target Profiles

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Beginning early last week, I’ve had a few people reach out to me and ask about some changes LinkedIn is apparently making to the public profile listings.

In the past, I’ve written about how Bing is easier and more effective at searching LinkedIn profiles than Google.

One of my suggestions for targeting profiles an avoiding directory and job results was to search for the word “powered,” because public profiles on LinkedIn have the phrase “Public profile powered by,” and the word “powered” seemed to be unique only to profiles.

LinkedIn is Tinkering

While you can still search LinkedIn via Bing using +powered and find results, the only reason it seems to work is due to the fact that Bing has taken “snapshots” of the old LinkedIn profiles the last time Bing’s crawlers have visited them. The original (non-cached) search results don’t mention “powered.”

I’ve found that many (all?) public LinkedIn profiles no longer mention the phrase “Public profile powered by,” so adding +powered to your LinkedIn X-Ray searches via Bing will prevent some public LinkedIn profiles from being returned in your searches – and you won’t even know it.

But now you do. Continue reading →

The Big Deal about Bing for Sourcing and Recruiting

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I’ve been a Google search fan for many years – since 1998, and I’ve used it exclusively for all of my search needs, both personal and professional.

Until recently.

That’s because I’ve discovered that Bing has a number of advantages over Google when it comes to sourcing candidates, including:

  • Cleaner, shorter, simpler and effective LinkedIn X-Ray searching
  • Effective Twitter X-Ray searching
  • Never doubting your humanity and refusing to run your more advanced queries
  • Configurable proximity (although I just learned Google has a similar capability)
  • Converting searches into RSS feeds Continue reading →

FREE LinkedIn Search: Internal vs. X-Ray

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While there is a growing number of recruiting professionals and organizations who pay for premium access to LinkedIn, there is still a large number of people who leverage LinkedIn with a free or “Personal” account.

If you’re on the fence about paying for increased access to LinkedIn, you’re reading the right post. I’m going to compare searching LinkedIn from the “inside” with a free “Personal” account using LinkedIn’s new people search interface with searching LinkedIn from the “outside” using Google and the x-ray technique.

If you are not familiar with the x-ray search technique, it will be covered in depth with examples later in this post.

I’ll also offer at least 3 different ways to create and automate LinkedIn searches outside of the LinkedIn search interface.

Free LinkedIn Search – From the “Inside”

There are actually a number of different ways and places to search for people on Linkedin. The more powerful methods involve #1 LinkedIn’s advanced search interface and  #2 “Hand-coding” search strings using LinkedIn’s advanced search operators.

Controlling Candidate Variables

Both of those methods allow you to control critical candidate variables such as current and/or past employer, current and/or past title, industry, and location via zip code radius search. During or after you configure your search, you also have the option to sort results by relevance, relationship, relationship + recommendations, and keyword match/count. Continue reading →