Extract LinkedIn People Comment Activity

LinkedIn Comment Activity Extractor extracts all comment activity from a person's profile.

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

API Endpoint

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

Parameters

Request parameters

Input Parameters

Integration Parameters

Guide

What Extract LinkedIn People Comment Activity does

Extract LinkedIn People Comment Activity pulls every comment a LinkedIn user has posted from their activity feed into structured rows. Each row includes the comment text, the target post, and the post author — so you can see not just what someone said, but where they are engaging.

The action runs on the LinkedIn level and is built for buyer-intent workflows that care about what people engage with, not just who they are.

How it works

You pass a LinkedIn profile URL, Edges reads the Activity → Comments tab through your authenticated session, and it paginates through the comment history. Results come back as JSON rows, one per comment.

Runs execute on Edges infrastructure with safe rate pacing. Profiles with long comment histories should run async so pagination can complete cleanly.

When to use Extract LinkedIn People Comment Activity

Use Extract LinkedIn People Comment Activity when comment behaviour is the buying signal you care about — a prospect debating vendors in a public comment thread, a champion advocating publicly for a competitor, a decision-maker asking "how do you solve X?" under an industry post. It maps to the LinkedIn signals & intent API use case.

It is also the cleanest primitive for feeding an LLM that scores "hot" vs "cold" prospects based on the topics they publicly engage with.

Use cases

  • Intent scoring. Score target-account contacts on comment volume + relevance to your category over the last 90 days.
  • Competitor displacement. Surface prospects commenting on competitor posts and queue a targeted outreach referencing the thread.
  • Personalised outreach. Use a recent comment as the opening line for a DM — real context beats a generic intro every time.
  • Champion mapping. Identify which people inside a target account publicly engage with your category.
  • Content strategy. Analyse which topics your target buyers comment on most to inform your own publishing calendar.

Best practices

  • Cap history depth. Comments older than 6 months rarely inform current intent. Use the since filter to limit to a recent window.
  • Enrich the post, not just the comment. Chain with Extract LinkedIn Post to get full post context and author metadata.
  • Combine signal types. Pair with Extract LinkedIn People Reaction Activity and Extract LinkedIn People Post Activity for a fuller activity graph.
  • Respect rate pacing. Fanning Extract LinkedIn People Comment Activity across hundreds of profiles should run async.

Common questions

How many comments can I extract per run?

Edges paginates the full comment history exposed on the profile. For profiles with years of activity, run async to avoid single-request timeouts.

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

Your LinkedIn account. Activity is read through your authenticated session on Edges, so visibility matches what you can see manually on the profile.

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

Yes. A standard pattern is Extract LinkedIn People Comment Activity into Extract LinkedIn Post for post context, then into Message LinkedIn Profile for a referenced first touch.

Get started

Run Extract LinkedIn People Comment 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-comment-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

[
  {
    "comment_like_count": 42,
    "comment_reply_count": 42,
    "linkedin_comment_id": "example-123",
    "linkedin_comment_url": "https://www.linkedin.com/in/example-profile",
    "comment_text": "example_value",
    "author_comment_reply": "example_value",
    "comment_time": "example_value",
    "linkedin_post_id": "example-123",
    "linkedin_post_url": "https://www.linkedin.com/in/example-profile",
    "comment_type": "example_value",
    "linkedin_activity_id": "example-123",
    "author": {
      "key": "value"
    },
    "source_post": {
      "key": "value"
    },
    "activity_author": {
      "key": "value"
    }
  }
]

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