Introduction

You're in the right place if:

• You're manually copying LinkedIn commenters into spreadsheets

• You've tried risky scraping tools that flagged your account

• You want to turn post engagement into a pipeline (not just data)

• You need a safe, scalable way to extract commenters + enrich + message

Scraping LinkedIn comments gives you something cold outreach never will: intent 🎯

Someone who commented on a post about "struggling with outbound" just "raised their hand". They're not cold. They're now warm.

The problem? Most scraping methods get you restricted, are hard to set up, are a "one-shot" workflow. Or they dump raw data with no ICP filter, no enrichment, no workflow.

In this guide, I'll show you (my LinkedIn profile):

• The 3 working methods (manual, risky extensions, safe automation)

• Why most tools get you banned (and how to avoid it)

• How to enrich commenters automatically (title, company, ICP match)

• How to convert commenters into conversations (templates included)

Let's go.

Why Scrape LinkedIn Comments?

Because comments = intent.

If someone comments on:

• Your post

• A competitor's launch

• An industry expert's insight

• A pain-point thread ("We're struggling with X...")

...they're signaling interest. Not "maybe interested." Actually engaged.

These commenters outperform cold lists by 5×–12× in reply rate (internal data, >80k messages).

27% average reply rate across 5,000+ reactin user campaigns

Want to capture the full engagement picture? Learn how to track LinkedIn post likes and reactions alongside comments for complete audience intelligence.

Scraping comments isn't just a hack. It's one of the most underrated GTM engines in B2B today.

How to Scrape LinkedIn Comments (3 Methods)

Let's go from "okay" to "good" to "best".

Method 1: Manual Export (Copy/Paste)

🟢 Safe
🔴 Slow
🟡 Mainly works for <20 comments

How it works:

1. Open the post

2. Click "See all comments"

3. Expand nested replies

4. Copy names + URLs manually

5. Paste into Google Sheets

6. Cry

Verdict: Fine for one-off analysis. Otherwise, skip.

Method 2: Basic Scraping Tools

🟢 Fast
🟡 Works on desktop
🔴 Medium to high ban risk
🔴 Breaks often after LinkedIn updates
🔴 No ICP filtering integrated
🔴 No outreach automations linked

Popular tools:

• PhantomBuster

• Apify

• Basic scraping extensions

How they work:

They simulate scrolling and clicking via aggressive DOM scraping. LinkedIn's detection has gotten significantly better in 2026.

Risks:

• Account flagged or restricted

• Captcha loops

• Temporary invitation bans

• Missing comments or duplicates

• No safety features built in

• No ICP filtering integrated

• No outreach automations linked

Verdict: High risk if you're not careful with rate limits and detection patterns. These aggressive approaches are part of why most LinkedIn automation tools get you banned. They lack the safety mechanisms needed for 2026. "Best" to simply build lead lists, time to time.

Method 3: Safe Automation (ReactIn)

🟢 Fast
🟢 Safe
🟢 Works via Chrome extension OR email/password
🟢 Auto-enrichment + ICP filters
🟢 Built-in outreach workflows

This is the only method I recommend without hesitation.

Why?

ReactIn is built differently:

• Chrome extension with built-in safety limits or email/password connection (no extension needed)

• Human-like delays (randomized)

• Rate-limited by design

• Daily refresh (not mass extraction)

• Zero bans in 18+ months

This is part of ReactIn's broader LinkedIn automation safety approach. Designed to keep your account protected while scaling outreach.

Two ways to scrape comments:

Option A: Scrape Any Post from a profile/company page, every week (Spyer template)
Perfect for competitor hijacking or influencer posts.

Option B: Scrape Your Own Post (Pixel template)
Perfect for inbound to outbound conversion.

Option C: Scrape One Post from a profile/company page, one shot (Track Post Engagers template)
Perfect for list building

Step-by-Step: Safe Comment Scraping with ReactIn

Let me walk you through the exact workflow.

Step 1: Create a SmartList

If scraping a competitor's post (Spyer):

1. Go to: SmartLists > New List > Spyer

2. Paste the competitor's profile/company page URL

3. ReactIn will track all new comments on all new posts automatically (every week)

This strategy works even better when combined with. Automatically tracking all new posts and commenters across multiple competitor profiles.

If scraping your own post (Pixel):

1. Install Pixel: Settings > Pixel > Install

2. Go to: SmartList > Post Engagers

3. Select the post

4. Done

Step 2: Auto-Enrich the Leads

This is where raw data becomes a pipeline. ⚡

Turn on Auto-Enrich and add:

• Company Description

• Company Size

• Profile Current Job

• Profile Location

• Company Country

• ICP Match (AI boolean)

• "Is this lead relevant?" (AI boolean)

Now you have qualified leads, not just names.

Step 3: Apply ICP Filters (in the campaign workflow)

Example B2B SaaS filter:

IF:
- Company Size > 10
- AND Role contains "Founder" OR "Head of"
- AND Industry = "B2B SaaS"
- AND AI ICP Match = YES
> Tag as "Hot Commenter"

Everyone else goes to nurture.

Step 4: Launch Your Workflow

Choose your approach:

1. Invitation Only (cold commenters)
Best for competitor posts. Connect first, message later.

2. Message Only (existing connections)
Best for people who commented on your post.

3. Invitation + Message (warm context)
Best when there's clear mutual relevance.

Best Outreach Messages (By Funnel Stage)

ToFu: Low-friction invite

Hey {{firstname}},
Saw you in the comments of {{post_author}}'s post. I enjoy his/her post too.

Clean. No pitch.

MoFu: Contextual opener

Hey {{firstname}},
Loved your take on {{topic}}. Curious: how are you handling this today

BoFu: Direct value

Hey {{firstname}},
Noticed you enjoy {{industry}} content. 
I've built a short checklist that might help. Want it?

This works insanely well 💙

Why ReactIn Is Safer Than Basic Scraping Tools

If your LinkedIn account matters (it does), use tools built for safety.

4 High-ROI Use Cases

Use Case 1: Hijack Competitor Posts

When your competitor posts: "Here's how we got 10,000 signups..."

Every commenter = warm lead for you.

This is one of the most effective competitor post hijacking strategies. You're reaching out to people who are already evaluating solutions in your space.

🔥 Works beautifully.

Use Case 2: Warm Up Your Own Audience

People who comment already know you.
Message-only outreach = high trust.

Workflow:

1. Post valuable content

2. Scrape all commenters

3. Message same day with related resource

Reply rate: 25-35% (extremely high for LinkedIn)

Use Case 3: Audience Research

Want to know what your ICP thinks?
Scrape 200 comments > analyze with AI > instant insights. 💡

What to analyze:

• Common pain points mentioned

• Language patterns (how they describe problems)

• Objections to current solutions

• Feature requests

• Buying signals

Use Case 4: Lead Magnet Distribution on Autopilot

1. Post a guide

2. Scrape all commenters

3. DM them automatically with download link

Future of social-led growth.

Real case example from one of my campaigns (Jan. 2026)

LinkedIn Safety Rules (Must-Know in 2026)

To protect your account: 🛡️

✓ Limit scraping to once per day
✓ Avoid scraping multiple posts simultaneously
✓ Keep invitations <100/day
✓ Use randomized delays
✓ Don't send identical messages
✓ Enrich only what you need

These limits are built into ReactIn automatically.

Conclusion

Scraping LinkedIn comments is one of the most underrated GTM plays in 2026.

Done right, you get:

• Warm leads

• Relevant conversations

• High reply rates

• Perfect ICP matches

• Instant intent signals

Done wrong, you risk your account.

If you want the safest, most scalable way to scrape comments and convert them into a pipeline, ReactIn has everything you need:

✓ Chrome extension OR email/password connection
✓ Spyers for competitor tracking
✓ Pixel for your own posts
✓ Auto-enrichment
✓ AI ICP filters
✓ DM workflows
✓ Built-in safety engine

Ready to build a complete LinkedIn automation system? Start with comment scraping, then explore intent-based outreach workflows to convert engagement into pipeline systematically.

Try ReactIn free (no credit card required 💙)

27% average reply rate across 5,000+ user campaigns

François D.
Founder, ReactIn founder, my LinkedIn profile