Extract LinkedIn Post Reposters
LinkedIn Post Reposters Extractor extracts LinkedIn profiles of users who reposted a given post.
/v1/actions/linkedin-extract-post-reposters/run/liveEdges is not related to LinkedIn and is not an official LinkedIn product.
Input
Request parameters
Cursor value obtained from the `X-Pagination-Next` response header of a previous request, used to continue pagination. Cursors expire after 24 hours. If a cursor has expired or is invalid, pagination must be restarted from the beginning.
Maximum number of results per page (read-only; defined by the endpoint, actual count may be lower in some cases like throttling or internal limits).
Input parameters
A LinkedIn Post URL should start with "https://www.linkedin.com/posts/".
Integration
Array of identity UUIDs to use for the action
Mode for identity handling: direct, auto, or managed.
Description
What Extract LinkedIn Post Reposters does
Extract LinkedIn Post Reposters returns every LinkedIn user who reshared a specific post, as structured rows with profile metadata. Reposters sit at the top of the engagement funnel — they care enough to amplify — so this is the densest signal layer on any post.
The action runs on the LinkedIn level and is built for teams tracking advocacy, amplification, and influencer activation.
How it works
You pass a LinkedIn post URL, Edges reads the reposts panel through your authenticated LinkedIn session, and it paginates through every reshare. Each row captures the reposter's profile and, when present, the commentary they added on reshare.
Runs execute on Edges infrastructure with safe rate pacing. Posts with hundreds of reposts are best handled async.
When to use Extract LinkedIn Post Reposters
Use Extract LinkedIn Post Reposters whenever amplification is the signal you care about — identifying customer advocates, mapping influencers in your category, or measuring who actually stood behind a company announcement. It maps to the LinkedIn search API use case.
Marketing teams use it after launches to see which customers amplified. Partnership teams use it to find industry voices willing to co-create. Community teams use it to thank the people who carried a post further.
Use cases
- Customer advocacy mapping. After a product launch, extract reposters to build an advocate list you can invite into a customer advisory board.
- Influencer discovery. Reposters of category-defining posts are natural partners for co-marketing or podcast bookings.
- Deal-risk detection. A target-account champion reposting a competitor's announcement is worth routing to the AE.
- Executive content strategy. Track which executive posts get reshared by whom to see which narratives resonate with buyers.
- Employee activation. Identify employees reposting company content to reward and amplify participation.
Best practices
- Prioritise reposters over likers. Reposters commit reputation; weight them higher than likers in any scoring model.
- Capture reshare commentary.
repostCommentaryis often richer than the original comment thread — use it for qualitative tagging. - Chain with enrichment. Pair Extract LinkedIn Post Reposters with Extract LinkedIn Profile to hydrate rows before CRM sync.
- Run async for large reposts. Posts with hundreds of reshares should run async to keep within LinkedIn's request guardrails.
Common questions
How many reposters can I extract per run?
Edges paginates the full reposter list. Large reshare counts are best processed async so the job completes in the background.
Does Extract LinkedIn Post Reposters use my LinkedIn account or a shared pool?
Your LinkedIn account. The reposts panel is read through your authenticated LinkedIn session on Edges, matching your manual browser view exactly.
Can I chain Extract LinkedIn Post Reposters with other Edges actions?
Yes. Common chains are Extract LinkedIn Post Reposters into Extract LinkedIn Post Likers and Extract LinkedIn Post Commenters for a complete engagement graph, or into Follow LinkedIn Profile to reciprocate advocacy.
Get started
Run Extract LinkedIn Post Reposters from the Edges library, trigger it after every content drop, or call it from the Edges API. Browse the full Actions library for engagement primitives you can wire into your advocacy loop.
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