/v1/actions/linkedin-extract-post-commenters/run/liveExtract LinkedIn Post Commenters returns every LinkedIn user who commented on a given post as a structured list of profiles. You get names, headlines, profile URLs, and the comment each person left — a ready-made audience that engaged deeply enough to type something.
The action runs on the LinkedIn level and is a core primitive for lead generation from organic content, yours or anyone else's.
You pass a LinkedIn post URL, Edges reads the comment thread through your authenticated LinkedIn session, and it paginates through commenters until the thread is exhausted. Results come back as JSON rows, one per commenter, with the comment text attached.
Runs execute on Edges infrastructure with safe rate pacing. Viral posts with thousands of comments should run async so pagination completes cleanly.
Use Extract LinkedIn Post Commenters when a post — yours, a competitor's, or a category influencer's — has attracted comments from people who look like your ICP. Commenters are the highest-intent slice of an audience, and this action turns that slice into a workable list. It maps to the LinkedIn search API use case.
The classic play: run Extract LinkedIn Post Commenters on a competitor's feature announcement, filter commenters by title and company, and reach out to the ones saying "we wish our vendor had this."
commentText length and content to weight leads.Edges paginates the full comment thread. Very large threads should be processed async so the job is not bound to a single HTTP request.
Your LinkedIn account. The comment thread is read through your authenticated LinkedIn session on Edges, matching your browser view.
Yes. A standard flow is Extract LinkedIn Post Commenters into Extract Linkedin User Contact Info for email enrichment, then into Message LinkedIn Profile for a contextual first touch.
Run Extract LinkedIn Post Commenters from the Edges library, schedule it against your top-performing content, or call it from the Edges API. Browse the full Actions library for engagement extraction primitives you can chain together.
curl -X POST "https://api.edges.run/v1/actions/linkedin-extract-post-commenters/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_post_url": "https://www.linkedin.com/in/example-profile",
"custom_data": "example_value"
},
"parameters": {
"sort_order": "example_value"
}
}'[
{
"last_name": "Doe",
"first_name": "John",
"full_name": "John Doe",
"linkedin_profile_id": 42,
"sales_navigator_profile_id": "example-123",
"linkedin_profile_handle": "example-123",
"linkedin_profile_picture": "example_value",
"summary": "example_value",
"linkedin_profile_url": "https://www.linkedin.com/in/example-profile",
"linkedin_connection_degree": "example_value",
"comment_text": "example_value",
"comment_time": "example_value",
"comment_like_count": 42,
"comment_reply_count": 42,
"last_reply": "example_value",
"linkedin_comment_url": "https://www.linkedin.com/in/example-profile",
"linkedin_comment_id": "example-123",
"linkedin_post_url": "https://www.linkedin.com/in/example-profile",
"linkedin_post_id": "example-123"
}
]