People who react to a LinkedIn post are warmer than random search results. They saw the content, processed it, and clicked. That's intent, even if smaller than commenting.

Volume is what makes reactor scraping powerful: a viral post can have 5,000+ reactions versus 200 comments. If your ICP is broad (sales, marketing, growth), reactor pools give you scale.

When reactor scraping wins

  • The post hits 1,000+ reactions. Volume justifies the effort.
  • Your ICP is broad. Sales reps, marketers, founders, recruiters all react.
  • You ran out of commenters. Reactors are the next-warmest layer.
  • Visual content posts. Posts with images/videos pull more reactions than comments.

Step-by-step

Step 1: Find a high-engagement post

Look for posts in your niche with 1,000+ reactions, less than 14 days old. Posts by competitors, thought leaders, or your own viral content all work.

Step 2: Open the post in Chrome

Click into the post page (not just the feed view). The URL should include `/feed/update/`.

Step 3: Click the Lead4Linked extension

Choose "Extract reactors" from the menu. The extension paginates through every reaction (Like, Love, Insightful, etc.) and pulls profile data.

Step 4: Filter aggressively

5,000 raw reactors is too many to send connection requests to. Filter:

  • Job title contains "Sales" or "Founder" or your ICP keywords
  • Company size 10-500 employees (mid-market)
  • Location: your target geographies
  • Reaction type: focus on "Insightful" and "Love" (higher intent than "Like")

Step 5: Export to CSV or push to a campaign

Outreach plan and above lets you push directly into a LinkedIn campaign. Otherwise CSV export works for any CRM.

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Pro tip: Filter by reaction type. "Insightful" reactors converted at 18% reply rate in our internal tests. "Like" reactors converted at 6%. Same effort, 3× the result.

Reactors vs commenters: which to scrape first?

Always commenters first. They're 2-3× warmer. But commenters are typically 100-300 per post; reactors are 1,000-5,000. Once you've worked through commenters, reactors are the next layer.

Sample message template for reactors

Connection request copy:

Hi {firstName}, saw you reacted to {Author}'s post about {topic}. Curious how you're approaching {pain} at {company}. Would love to connect.

Acceptance rate baseline: ~22-28%. Reply rate after acceptance: ~10-14%.

Try reactor scraping free.

100 free leads on signup. Test post reactor extraction on your first 3 viral posts.

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Common mistakes

  • Skipping the filter step. 5,000 unfiltered reactors burns invitation budget. Always filter first.
  • Reusing the same post weekly. Reactors who already received your DM will flag you the second time.
  • Generic templates. Reference the specific post in your first message.
  • Sending to all reaction types equally. "Insightful" beats "Like" 3-to-1 on reply rate. Prioritize.