Extract LinkedIn People Post Activity

LinkedIn Post Activity Extractor extracts all LinkedIn activity posts from specific individual profiles.

Edges is not related to LinkedIn and is not an official LinkedIn product.

API Endpoint

POST/v1/actions/linkedin-extract-people-post-activity/run/live

Parameters

Request parameters

Input Parameters

Integration Parameters

Guide

What Extract LinkedIn People Post Activity does

Extract LinkedIn People Post Activity pulls every post a LinkedIn user has authored or reshared from their activity feed, returning structured rows with post content, engagement metrics, and timestamps. You get a queryable dataset of what a person actually says on LinkedIn, not just their profile headline.

The action runs on the LinkedIn level and is built for GTM teams who treat post history as a high-density signal of priorities, pain points, and champion status.

How it works

You pass a LinkedIn profile URL, Edges reads the Activity → Posts tab through your authenticated LinkedIn session, and it paginates through the user's original posts and reshares. Results return as JSON rows ordered newest-first.

Runs happen on Edges infrastructure with safe rate pacing. For profiles with heavy posting cadence, async execution keeps pagination clean.

When to use Extract LinkedIn People Post Activity

Reach for Extract LinkedIn People Post Activity when you need to understand a prospect, champion, or hire from their public narrative — not their resume. It maps to the LinkedIn signals & intent API use case.

Typical triggers: a founder evaluating whether a candidate shares their worldview, an AE prepping a meeting with a CRO who posts weekly, or a content team benchmarking what target buyers publish.

Use cases

  • Pre-meeting prep. Pull the last 20 posts from a prospect into your CRM activity card so the AE walks in with context.
  • Champion identification. Surface contacts at target accounts who post publicly about your category — they are future champions.
  • Competitor intelligence. Track executive posting at competitors to spot hiring, positioning, or roadmap hints.
  • Hiring signals. Engineers posting about specific tech stacks or methodologies are tagged for recruiting outreach.
  • Content benchmarking. Analyse top-performing posts among your target buyer persona to inform your own editorial.

Best practices

  • Cap with `since`. Posts older than 12 months are rarely load-bearing for present-day intent. Trim aggressively.
  • Chain with post detail. Pair with Extract LinkedIn Post for full media, comment threads, and author metadata when a post matters.
  • Combine activity types. Extract LinkedIn People Post Activity plus Extract LinkedIn People Comment Activity gives you the full voice profile.
  • Run async for long histories. Heavy posters with years of activity should be extracted async so the job doesn't time out.

Common questions

How many posts can I extract per run?

Edges paginates the full activity feed. For prolific posters, run async so pagination can complete in the background.

Does Extract LinkedIn People Post Activity use my LinkedIn account or a shared pool?

Your LinkedIn account. The activity feed is read through your authenticated LinkedIn session on Edges; visibility matches your manual browsing.

Can I chain Extract LinkedIn People Post Activity with other Edges actions?

Yes. A common pattern is Extract LinkedIn People Post Activity into Extract LinkedIn Post for full post detail, then into Like LinkedIn Post or LinkedIn Comment Post to engage thoughtfully.

Get started

Run Extract LinkedIn People Post Activity from the Edges library, schedule it per account, or call it directly from the Edges API. Browse the full Actions library for signal primitives you can chain together.

Code Examples

bash
curl -X POST "https://api.edges.run/v1/actions/linkedin-extract-people-post-activity/run/live" \
  -H "X-API-KEY: <YOUR_API_KEY>" \
  -H "Content-Type: application/json" \
  -d '{
  "identity_ids": [
    "your-identity-uuid"
  ],
  "identity_mode": "direct",
  "input": {
    "custom_data": "example_value",
    "linkedin_profile_url": "https://www.linkedin.com/in/example-profile",
    "sales_navigator_profile_id": "example_value"
  }
}'

Output Example

[
  {
    "comment_count": 42,
    "reaction_count": 42,
    "repost_count": 42,
    "linkedin_post_id": "example-123",
    "linkedin_post_url": "https://www.linkedin.com/in/example-profile",
    "published_date": "1990-01-01",
    "content_text": "example_value",
    "linkedin_post_type": "example_value",
    "linkedin_activity_id": "example-123",
    "author": {
      "key": "value"
    },
    "source_post": {
      "key": "value"
    },
    "activity_author": {
      "key": "value"
    }
  }
]

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