Extract LinkedIn People Reaction Activity

Extracts all reaction activities (like, support, love, etc.) from a person's LinkedIn profile.

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

API Endpoint

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

Parameters

Request parameters

Input Parameters

Integration Parameters

Guide

What Extract LinkedIn People Reaction Activity does

Extract LinkedIn People Reaction Activity pulls every reaction a LinkedIn user has left — like, celebrate, support, love, insightful, funny — from their activity feed, returning structured rows tied to the original posts. You get a passive-intent signal far cheaper than comments: what a prospect quietly endorses.

The action runs on the LinkedIn level and is designed for signal-driven GTM workflows where engagement, not profile attributes, is the input.

How it works

You pass a LinkedIn profile URL, Edges reads the Activity → Reactions tab through your authenticated session, and it paginates the user's reaction history. Each reaction row carries the reaction type, the post it targeted, and the post's author.

Runs execute on Edges infrastructure with safe rate pacing. Profiles with long reaction histories are best processed async so pagination can complete cleanly.

When to use Extract LinkedIn People Reaction Activity

Use Extract LinkedIn People Reaction Activity when you want buying signals at scale without requiring prospects to publicly comment. Reactions are lower-friction than comments, so they surface intent from quieter accounts. It maps to the LinkedIn signals & intent API use case.

It is particularly useful for enterprise sales, where decision-makers rarely comment but will quietly "like" a peer's post about the pain you solve.

Use cases

  • Silent-champion detection. Find buyers reacting to competitor complaints or category-adjacent pain posts, even when they never comment.
  • Personalisation fuel. Reference a recent reaction as first-line context for a DM; it shows you paid attention without being creepy.
  • Champion-of-champion mapping. Identify which peers your existing customers engage with — those peers are likely warm referrals.
  • Topic affinity scoring. Tag profiles by reaction patterns to build an interest graph for each target account.
  • Deal hygiene. A target-account champion suddenly reacting to a competitor's launch post is a deal-risk signal worth routing to the AE.

Best practices

  • Time-bound the extract. Reactions older than 3-6 months are weak signal. Use since to constrain the window.
  • Combine with other activity. Extract LinkedIn People Reaction Activity plus Extract LinkedIn People Comment Activity and Extract LinkedIn People Post Activity gives the full engagement profile.
  • Score by reaction type. "Insightful" and "support" usually carry more weight than a generic "like" — weight them accordingly in your scoring model.
  • Run async at scale. Fanning Extract LinkedIn People Reaction Activity across hundreds of ICP profiles should run async to stay within rate guidance.

Common questions

How many reactions can I extract per run?

Edges paginates the full reaction history exposed on the profile. Very active profiles should be run async so the job completes cleanly in the background.

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

Your LinkedIn account. Reaction activity is read through your authenticated LinkedIn session on Edges, matching what you can see on the profile manually.

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

Yes. Typical chains are into Extract LinkedIn Post for full post context, then into Message LinkedIn Profile for a contextual first touch.

Get started

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

Code Examples

bash
curl -X POST "https://api.edges.run/v1/actions/linkedin-extract-people-reaction-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": {
    "linkedin_profile_url": "https://www.linkedin.com/in/example-profile",
    "custom_data": "example_value"
  }
}'

Output Example

[
  {
    "linkedin_post_url": "https://www.linkedin.com/in/example-profile",
    "linkedin_reaction_type": "example_value",
    "linkedin_post_id": "example-123",
    "linkedin_reaction_url": "https://www.linkedin.com/in/example-profile",
    "published_date": "1990-01-01",
    "linkedin_activity_id": "example-123",
    "author": {
      "key": "value"
    },
    "source_post": {
      "key": "value"
    },
    "activity_author": {
      "key": "value"
    }
  }
]

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