LinkedIn Post Engagers Email Finder

📬 What is LinkedIn Post to Verified Leads?

LinkedIn Post to Verified Leads extracts every person who engaged with a LinkedIn post — commenters, reactors, reposters — and enriches each one with full LinkedIn profile data and optionally a verified work email.

Paste a post URL. Choose who to extract. Get a structured lead list ready for outreach.

No LinkedIn cookies. No login. No Chrome extension. No subscription. Pay only for results.

⚡ How it works

1. Paste any LinkedIn post URL
2. Choose commenters, reactors, reposters — or all three
3. Toggle email enrichment on or off
4. Get a structured dataset: full profile + engagement context + verified email

Each lead includes their current job title, company, industry, headcount, location, LinkedIn URL, what they said or how they reacted, and — if email is enabled — a verified work email with deliverability status.

💰 Pricing

Two-component pricing — you only pay for what you get:

Component	Price	When it's charged
Lead enriched (base)	$20 / 1,000 leads	Every lead in the output
Verified email found	$29 / 1,000 emails	Only when a valid/catch-all email is found

Example: A post with 1,000 engagers where 500 verified emails are found → $20 + $14.50 = $34.50 total.

Emails disabled? You pay only the $20/1K base for full enriched profiles.

No monthly subscription. No minimum. No wasted credits.

🔄 Why use this over Jungler, Trigify, or Clay?

SaaS tools	This Actor
$99–549/month subscription required	Pay per lead, no subscription
Engagement data only — no emails included	Verified work emails included
Need Clay ($149–800/mo) to enrich + find emails	Full pipeline in one step
Require LinkedIn cookies or account connection	No cookies, no login, zero account risk
Fixed monthly credits — use them or lose them	Pay only when you run it

Replace a $500–1,500/month tool stack with a single actor run.

📊 What you get per lead

Always included (base):

• Full name, first name, last name
• LinkedIn profile URL, Sales Navigator URL
• Current job title, company, industry, company size, company website
• Headline, about/description
• Location, country
• Connections, followers
• Profile flags (premium, creator, open to connect, job seeker)
• Engagement type (commented / reacted / reposted)
• Comment text + comment URL (if commenter)
• Reaction type (if reactor)
• Post URL, post author, post text

With email enrichment enabled:

• Verified work email address
• Email verification status (Valid, Catch-All, Invalid, Unknown)
• Email quality score

Full raw data (trailing columns):

• Complete experience history (all roles, not just current)
• Education history
• Skills list (up to 20)
• Certifications, languages, volunteering, publications, projects, patents

🎯 Use cases

• Sales teams: Get verified emails of people actively engaging with industry content
• Recruiters: Find candidates commenting on relevant job posts
• ABM campaigns: Build lead lists from competitor post engagement
• Event follow-up: Extract attendees who commented on event recap posts
• Content creators: Identify your most engaged audience with contact info

📥 Input

Field	Description
LinkedIn post URL	Any LinkedIn post URL (required)
Extract commenters	Include people who commented
Extract reactors	Include people who reacted (liked, celebrated, etc.)
Extract reposters	Include people who reposted
Find verified work emails	Discover and verify work emails (adds email fields + email pricing tier)

📤 Output

Results are saved to the default Apify dataset. Download as JSON, CSV, or Excel.

JSON output: Clean top-level fields + nested arrays for experience, education, skills.

CSV output: All top-level fields as clean columns. Experience/education/skills auto-flatten into trailing columns — your key fields are always in the first 30 columns.

Sample output (JSON)

{
  "full_name": "Sarah Chen",
  "first_name": "Sarah",
  "last_name": "Chen",
  "email": "sarah.chen@acme.com",
  "millionverifier_result": "ok",
  "job_title": "VP of Sales",
  "current_company_name": "Acme Corp",
  "company_industry": "Software Development",
  "company_website": "https://www.acme.com",
  "location": "San Francisco, California",
  "profile_link": "https://www.linkedin.com/in/sarahchen",
  "engagement_type": "commented",
  "comment_text": "This resonates — we saw the same pattern at Acme.",
  "post_url": "https://www.linkedin.com/posts/...",
  "post_author": "Jane Smith",
  "experience": [...],
  "skills": [...]
}

❓ FAQ

Does this require my LinkedIn account or cookies? No. This actor is completely cookieless. Your LinkedIn account is never touched, never exposed, and never at risk. Unlike PhantomBuster or browser extensions, no login credentials are needed.

How long does a run take? Without emails: 2-5 minutes for most posts. With emails: 5-20 minutes depending on the number of engagers, since each email requires a search + verification step.

What LinkedIn post URL formats are supported?

• https://www.linkedin.com/posts/username-activity-...
• https://www.linkedin.com/posts/username-ugcPost-...
• https://www.linkedin.com/feed/update/urn:li:activity:...

What's the email hit rate? Typically 40-70% of leads get a verified work email. People at larger companies with established domains have higher hit rates. Freelancers and people at very small companies often don't have findable work emails.

Can I process multiple posts in one run? Currently one post per run. Multi-post support is coming soon.

What if I only want commenters, not reactors? Toggle each engager type on or off in the input. You can extract any combination.

🔗 Related actors

• LinkedIn Profile Scraper — Scrape full profiles from profile URLs
• LinkedIn Company Scraper — Scrape company pages
• LinkedIn Post Analytics Scraper — Get post engagement analytics