LinkedIn Engager Mining

The problem

Lead lists based on job titles and company size are stale. You are targeting people based on firmographics rather than active interest, leading to low conversion and high bounce rates.

What it does

• Identifies and scrapes commenters and reactors from specific LinkedIn profiles or company pages.
• Filters engagers against your ICP.md to separate buyers from peers, competitors, and employees.
• Captures specific comment text to provide context for personalized outreach.
• Weights commenters higher than reactors to prioritize high-intent leads.
• Generates outreach angles that reference the specific discussion rather than the act of engagement.

Frameworks & tools

Apify (linkedin-post-engager-capture), LinkedIn.

Why this beats prompting it yourself

Manual scraping and qualifying is slow and error-prone. This skill automates the data extraction via Apify, applies a strict qualification logic to remove noise like "serial engagers," and ensures the output includes the specific quote needed for non-creepy personalization.

Use cases

• Extract a list of prospects from a competitor's high-engagement product announcement.
• Identify potential hires or leads who are active in niche industry discussions.
• Build a warm outreach sequence for people who commented on a specific thought-leader's post.

Known limitations

Builds only from what a logged-out visitor can see. High-volume scraping requires an active Apify account and API key.

Most premium skills are on a weekly review cycle. Fixes and improvements ship as updates, and buyers receive release notes by email. Part of the Mambabuilt catalog. Packs and the full bundle are available at mambabuilt.com.