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Bhojraj Pilaniya
Bhojraj Pilaniya

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How to Find High-Intent B2B Prospects in LinkedIn Post Comments

#sales

Cold prospect lists tell you who matches a demographic profile. Comments can provide an additional signal: who actively engaged with a specific topic, product, event, or problem.

That does not make every commenter a lead. It does, however, create a useful starting point for research because the person has already shown contextual interest.

Choose the right source posts

The quality of the source post determines the quality of the resulting list. Look for posts discussing a specific business problem, industry event, product category, or technical decision. Broad motivational posts may attract engagement but rarely produce focused B2B intent.

Use posts from relevant companies, industry experts, event organizers, and communities. Start with a small sample and inspect the discussion before scaling the extraction.

Capture the context, not just the name

A useful comment dataset should retain the comment text, author name, headline, profile URL, publication date, likes, reply status, source post URL, and comment URL. Keeping the original text matters because it explains why the prospect was included.

The LinkedIn Post Comments Scraper & Engaged Leads collects those fields from one or more public post URLs and returns clean records in an Apify dataset.

Example input:

{
  "postUrls": [
    "https://www.linkedin.com/posts/example-post/"
  ],
  "maxCommentsPerPost": 100,
  "postedLimit": "month",
  "includeReplies": true
}
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The output can be exported as CSV or JSON, or passed to another workflow through the API.

Score comments for relevance

After extraction, classify each comment by topic and intent. A thoughtful question, implementation problem, vendor comparison, or request for a recommendation is generally more valuable than a short congratulatory response.

Combine the comment context with the author headline and your ideal-customer criteria. Then prioritize records that match both the target role and a relevant discussion signal. This keeps the workflow focused on research rather than indiscriminate messaging.

Use engaged-lead data responsibly

Public engagement is not consent for mass outreach. Review each record, keep the original context, and personalize any follow-up. Respect platform terms, privacy requirements, and local marketing laws.

A good social-selling workflow helps a human understand the conversation. It should not turn every visible profile into an automated target.

Try the engaged-lead workflow on Apify: LinkedIn Post Comments Scraper & Engaged Leads.

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