Introducing Website Lookup Endpoint (+ Decision Maker Data in Company Details!) Learn more

How To Find Anyone With An Advanced LinkedIn People Search
linkedin people search

How To Find Anyone With An Advanced LinkedIn People Search

LinkedIn Search String Picker
Build a cleaner LinkedIn people search before you start typing random junk into the search bar.
Recommended query
Use quotes?
Use AND / NOT?
Fallback
Why this works
This will get flaky when...

LinkedIn people search still works when the query is simple and specific. In this guide, I’m going to show you the five search workflows that still hold up: search by name, name plus company, name plus location, role plus company, and role plus location. I’ll also show you where LinkedIn search gets weak, what to do after you find the right person, and when to stop doing this manually.

“My most frequent workflow is to go to a company's account page, click on the number of employees at the top... and then I filter by the title I need. With this change, the list of company employees is relatively useless because I can't narrow it down...”

Have you figured out a replacement for the removed title filter?
by u/SumOfChemicals in linkedin

Why this still matters

Most people using LinkedIn people search are trying to find one actual person.

Usually that means one of these:

  • a recruiter finding candidates
  • a sales rep finding the right buyer
  • a founder finding investors or operators
  • a journalist verifying a person before outreach

There are still two real routes:

  1. Search inside LinkedIn.
  2. Search on Google and land on LinkedIn anyway.

This guide keeps the five workflows from our older LinkedIn people search post, because that piece got the practical part right.

Search by name

Use this when you know the exact person’s full name.

Step by step

  1. Type the full name into LinkedIn search.
  2. Click the People tab.
  3. If results are messy, wrap the full name in quotes.
  4. Scan the tighter result set.
LinkedIn people search for Ryan Reynolds before using quotes
Step 1: Search the full name and switch to People.
LinkedIn people search for Ryan Reynolds with quotes to reduce noise
Step 2: Search "ryan reynolds". In the original walkthrough, this cut results from about 1,200 to 767.

If the name is still too common after quotes, do not keep scrolling. Add company or location.

Search by name and company

Use this when you know the name and the employer.

Step by step

  1. Search the person’s name.
  2. Add the company name.
  3. Look for the employer context directly in the result.
LinkedIn people search for Amy Hood by name only
Step 1: Start with amy hood.
LinkedIn people search for Amy Hood with Microsoft added
Step 2: Add company context, amy hood microsoft. The result becomes easier to verify because LinkedIn shows the Microsoft CFO context directly.

If you know the company, use it. This is the fastest way to confirm the right person.

Search by name and location

Use this when the name alone is not unique enough.

Step by step

  1. Search the name first.
  2. Add a location filter or location keyword.
  3. Review the narrower list.
LinkedIn people search for Elbakyan before location filtering
Step 1: Search elbakyan.
LinkedIn people search for Elbakyan filtered by Kazakhstan
Step 2: Filter by Kazakhstan to narrow the list hard.

Location usually cuts the result set faster than vague title words.

Search by role and company

Use this when you want employees at one company with a specific title.

Step by step

  1. Put the multi-word title in quotes.
  2. Add the company with AND.
  3. Review the results for current title plus company matches.

Search:

"software engineer" AND apple

LinkedIn people search by role and company using Boolean

That is still the cleanest move for this workflow.

“their new AI people search is atrociously awful, returning junky, irrelevant results and missing legitimate results altogether.”

Why has LinkedIn changed their search filters for employees?
by u/BaxterAglaminkus in linkedin

That complaint is fair. Broad search gets sloppy fast. Quotes plus Boolean still help.

Search by role and location

Use this when you want to find a type of person in a geography, like founders in a city or region.

Step by step

  1. Start with a broad role cluster.
  2. Filter by location.
  3. Spot the junk.
  4. Exclude it with NOT.

Start with:

tech AND founder

Then tighten with either:

NOT investor AND (tech AND founder)

or:

NOT investor AND tech AND founder
Broad LinkedIn people search for tech founders by location
Step 1: Start broad with founders in the target location.
LinkedIn people search improved by excluding investors with NOT
Step 2: Remove investor noise with NOT investor.

“It is a nightmare.”

That was one of the top comments in the removed-title-filter thread. Short, but accurate.

What to do after you find them

Finding the profile is not the finish line.

Usually the next question is one of these:

  • did I find the right person?
  • are they still at that company?
  • do I need one profile or a lot of them?
  • am I going to repeat this every week?

If it is one person once, manual LinkedIn is enough.

If it is a repeated workflow, manual LinkedIn people search turns into dumb labor fast.

Beware the search limit

Our older LinkedIn people search post warned about this, and the warning still stands: if you do a lot of profile clicking and repeated employee hunting, LinkedIn search gets annoying fast.

The old guide showed both the vague monthly-search warning and the hard stop screen. Here they are, because this part has not gotten friendlier.

LinkedIn people search monthly usage warning
Warning screen: LinkedIn tells you a monthly people-search usage limit exists, but does not tell you the exact remaining number.
LinkedIn people search limit reached screen
Limit reached: this is where manual LinkedIn people search stops being a workflow and starts being a bottleneck.

LinkedIn’s help docs also say people-search results are personalized and “unique to each member” based on relevance and your own context. That means the same query can rank differently for different users.

That is fine for browsing. It is bad for repeatable systems.

Search at scale instead

The old article recommended Proxycurl. That recommendation is dead, because Proxycurl is dead. The shutdown note is here: Goodbye Proxycurl.

So here is the modern recommendation plainly: use NinjaPear when LinkedIn people search stops being a one-off task and starts becoming a repeated process.

NinjaPear is not LinkedIn search. Good. It gives you people search and employee search via API from public web sources, and its docs are explicit that it does not scrape social media platforms. That matters. If you want the legal angle spelled out, read Steven’s piece on whether scraping LinkedIn is legal in 2026. Building an important workflow on legal gray crap is a bad idea.

Here is the practical decision table.

Use case Manual LinkedIn Person Profile Endpoint Employee Search Endpoint Best choice
Find one person one-off Fast and good enough Overkill unless you need structure Wrong tool Manual LinkedIn
Verify a person by company Decent Best fit Weak fit Person Profile
Find many employees by title Slow and noisy Weak fit Best fit Employee Search
Repeat the same search weekly Fragile Good for one-person refreshes Best fit Employee Search

Use Person Profile for one person

Use the Person Profile Endpoint when you already know roughly who the person is and want a structured answer.

Good inputs:

  • work email
  • name + company
  • role + company

Short example:

curl -G "https://nubela.co/api/v1/employee/profile" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  --data-urlencode "name=Patrick Collison" \
  --data-urlencode "employer_website=stripe.com"

What this does: it resolves one person from name + company and returns a structured profile instead of a messy search page.

Use Employee Search for many people

Use the Employee Search Endpoint when you want many current employees at a company and need a repeatable workflow.

This is the upgrade path for:

  • recruiting into one account
  • sales prospecting into a target company
  • market mapping a team
  • repeating the same role search every week

Short example:

curl -G "https://nubela.co/api/v1/employee/search" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  --data-urlencode "company=apple.com" \
  --data-urlencode "role=software engineer" \
  --data-urlencode "page_size=10"

What this does: it searches for employees at one company by role and gives you structured results you can reuse.

That is the key difference. Manual LinkedIn search gives you a browsing experience. NinjaPear gives you a repeatable system.

My final recommendation

Use manual LinkedIn people search when you need one person and you need them now.

Use Person Profile Endpoint when you want a structured profile for one person.

Use Employee Search Endpoint when you need many people at one company.

And if you are repeating the same LinkedIn people search every week, stop doing that to yourself. Move the workflow into NinjaPear and get on with your week.

Alex Meyer
Alex Meyer is a patterns-obsessed growth architect. As Head of GTM at NinjaPear, he leads the charge in building the actual intelligence layer that modern B2B teams use to win.

Featured Articles

Here's what we've been up to recently.

I dismissed someone, and it was not because of COVID19

The cadence of delivery. Last month, I dismissed the employment of a software developer who oversold himself during the interview phase. He turned out to be on the lowest rung of the software engineers in my company. Not being good enough is not a reason to be dismissed. But not

sharedhere

I got blocked from posting on Facebook

I tried sharing some news on Facebook today, and I got blocked from posting in other groups. I had figured that I needed a better growth engine instead of over-sharing on Facebook, so I spent the morning planning the new growth engine. Growth Hacking I term what I do in