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LinkedIn Posts
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LinkedIn Posts

Search public LinkedIn posts by keyword

What LinkedIn Posts is for

LinkedIn Posts searches what companies and professionals are publicly saying, by keyword. It answers 'who is talking about this' rather than 'who works here'.

That makes it useful in two directions. As a research tool it shows how a topic is being discussed in your market and which voices shape that discussion. As a prospecting tool it identifies people demonstrably engaged with your subject — and their posts are the input for LinkedIn Comments.

Posts also reveal positioning. Reading what a competitor publishes over a quarter tells you what they are emphasising and where they think the market is going.

How it works

Search by keyword and set how many posts to collect, with pagination controls for working through a large result set in manageable passes.

Results include post text, author, and engagement metrics, so you can rank by what actually resonated rather than by recency alone.

Optional reaction and comment collection returns the people who engaged. This is where a research run turns into a prospecting run — high-comment posts identified here become the input for LinkedIn Comments.

The two-step pattern is the point: find the posts about your problem space, then collect the people who engaged with them.

What each result contains

FieldTypeDescription
postTextstringFull post content.
authorNamestringPerson or company that published the post.
authorHeadlinestring | nullAuthor's headline, giving role and company context.
authorUrlurlAuthor profile URL, for enrichment or outreach.
postUrlurlDirect link to the post — the input for LinkedIn Comments.
reactionCountnumber | nullReactions, indicating reach.
commentCountnumber | nullComment count; high numbers mark posts worth mining.
postedAtdatetime | nullPublication timestamp.

What you get

  • Search public LinkedIn posts by keyword and pull post text, author, and engagement.
  • Identify thought leaders, trending topics, and hot conversations in your space.
  • Use post authors as warm outreach targets — they're already engaged.

Example use case

A marketer searches for posts about a trending topic in their category, ranks by comment count, and identifies the ten posts driving the conversation. Those become both a partnership shortlist and the input list for a LinkedIn Comments run.

When to choose this source

Use this to find the conversation and the people leading it. Once you have a specific post worth mining, LinkedIn Comments extracts everyone who engaged. For faster, more reactive public conversation, Twitter is the better instrument.

Limitations worth knowing

This is a Pro-plan source at twenty-five credits per result, so search terms should be specific rather than exploratory.

LinkedIn's public post search is less exhaustive than a native platform search. Expect a good sample of the conversation, not a complete census of it.

Professional-network norms mean posts skew promotional and positive. It is a strong source for positioning research and a weak one for finding candid complaints — Reddit is far better for that.

Reaction and comment collection adds meaningful time to a run. Enable it when you intend to act on the people, not merely read the posts.

Built for your role

Credit cost

25

credits per result

Only charged for results returned. Failed runs are fully refunded.

Plan availability

Pro plan only
Start using LinkedIn PostsSee pricing

Frequently asked questions

How is this different from LinkedIn Comments?
This finds posts by keyword. Comments extracts everyone who engaged with one specific post. Run this first to find posts worth mining, then Comments on the best ones.
Can I track a competitor's content?
Yes — search their brand terms or the topics they publish about. Reading a quarter of their output is a fast way to understand their current positioning.
Which plans include it?
Pro, along with LinkedIn Company, Instagram Email, and Social Email.
Should I collect reactions and comments?
Only when you plan to contact the people. If you are researching what is being said rather than who is saying it, post text alone is faster and cheaper.