Turn LinkedIn Commenters into Connections: Make.com Scenario

Stop manually sending LinkedIn connection requests to post commenters. This Make.com scenario automatically sends connection requests to everyone who comments on a LinkedIn post — turning your best content into a lead generation engine.

Scenario Overview

Video Tutorial

Why Target Commenters?

People who comment on LinkedIn posts are warm, engaged prospects — they've already shown interest in the topic. Compared to cold outreach:

• Commenters know who you are — they interacted with your content
• Context for connection — you can reference the post they commented on
• Higher acceptance rates — warm connections accept ~60-75% vs 25-35% for cold
• No research needed — targeting is done by LinkedIn's own engagement

According to LinkedIn's engagement data, people who engage with content are 3x more likely to respond to connection requests from the original poster.

What You'll Build

A Make.com scenario that runs automatically and:

1. Fetches commenters from a specified LinkedIn post via ConnectSafely API
2. Iterates through each profile with built-in rate limiting
3. Sends a connection request to every commenter
4. Logs the result for tracking and review

Trigger (Schedule/Manual) → Fetch Commenters → Iterator → Send Connection → Log Result

Key Takeaways

• Zero manual work — runs on a schedule after initial setup
• Warm outreach — every prospect has already engaged with your content
• Safe by design — ConnectSafely handles LinkedIn rate limits automatically

Setting Up the Blueprint

Step 1: Get Your ConnectSafely API Key

1. Log in to ConnectSafely.ai
2. Go to Settings → API Key
3. Copy your API key
4. In Make, open the HTTP module and add:

   Authorization: Bearer YOUR_API_KEY
   

Step 2: Identify Your Target Post

Get the LinkedIn post URL you want to target commenters from. You can use:

• Your own high-performing posts
• A competitor's viral post in your niche
• Industry thought leaders' discussions

Post URL format:

https://www.linkedin.com/posts/[author]/[post-id]

Step 3: Configure the Scenario Modules

Module 1: Schedule Trigger

• Run: Once daily (recommended)
• Timing: During business hours (9AM–5PM your timezone)

Module 2: ConnectSafely — Get Post Commenters

GET https://api.connectsafely.ai/v1/posts/commenters
Headers: Authorization: Bearer YOUR_API_KEY
Body: { "postUrl": "YOUR_LINKEDIN_POST_URL" }

Returns a list of profiles who commented, including LinkedIn URL and name.

Module 3: Iterator

• Loops through each commenter profile returned from Step 2
• Make's built-in Iterator module handles this automatically

Module 4: Filter (Optional but Recommended)

Add a filter to skip:

• People you're already connected with
• Profiles outside your target geography or industry
• Profiles with no headline (low-quality accounts)

Module 5: ConnectSafely — Send Connection Request

POST https://api.connectsafely.ai/v1/connections/send
Headers: Authorization: Bearer YOUR_API_KEY
Body: {
  "linkedinUrl": "{{profile.linkedinUrl}}",
  "message": "Hey {{profile.firstName}}, saw your comment on [post topic] — really resonated. Would love to connect!"
}

Module 6: Sleep (Rate Limiting)

• Add: 30–60 seconds between each send
• Prevents triggering LinkedIn's automation detection

Module 7: Log Result

• Use Make's built-in Data Store or Google Sheets to log:
  • Profile URL
  • Name
  • Status (Sent / Error)
  • Timestamp

Step 4: Test the Scenario

1. Run the scenario manually with a single post URL
2. Check ConnectSafely dashboard to confirm the request was sent
3. Verify the log captures the result correctly
4. Enable the schedule when you're confident it's working

Personalizing Your Connection Message

The default message works well, but personalizing it per post increases acceptance rates significantly.

Generic (works):

Hey {{firstName}}, saw your comment and thought we should connect!

Personalized (better):

Hey {{firstName}}, your comment about [specific topic] really resonated — I'm working on the same problem. Would love to connect and share notes.

Topic-specific (best): Write a template per post topic so the context is always relevant. Use Make's Text module to swap templates based on which post URL triggered the run.

Note: Keep messages under 280 characters — LinkedIn's hard limit for connection notes.

Best Practices

Which Posts to Target

Select posts with:

• High comment volume (50+ comments) — maximize reach per post
• Recent engagement (last 7 days) — people will remember the post
• Relevant audience — commenters match your ICP (ideal customer profile)
• Your own content — highest acceptance rates, they already know you

Safe Sending Limits

Scenario	Daily Limit
New accounts (< 3 months old)	10–15/day
Established accounts	20–25/day
Premium accounts	25–30/day

Start conservatively at 10/day and increase gradually over 2–3 weeks.

Avoid These Mistakes

• ❌ Don't run on the same post twice — duplicates annoy people and waste operations
• ❌ Don't send at odd hours — 3AM sends look robotic
• ❌ Don't skip the message — blank connection requests have 40% lower acceptance
• ✅ Do filter out existing connections — check before sending

Scaling the Blueprint

Once the basics work, extend it to:

1. Multi-post targeting — feed a list of post URLs and process all commenters at once
2. CRM sync — push new connections to HubSpot or Salesforce after they accept
3. Follow-up DM — send a message 24 hours after the connection is accepted
4. AI personalization — use Google Gemini to generate a custom message per commenter (see our AI outreach blueprint)

Common Issues & Fixes

Issue	Solution
No commenters returned	Check the post URL is correct and publicly accessible
Duplicate sends	Add a Data Store check before Module 5 to skip already-sent profiles
API rate limit (429)	Increase Sleep module to 60–120 seconds
Connection requests failing	Verify LinkedIn account is connected in ConnectSafely dashboard
Scenario uses too many operations	Reduce iterator batch size to 10 per run

Frequently Asked Questions

How do I automatically connect with LinkedIn post commenters?

Use this Make.com scenario with ConnectSafely's API. The scenario fetches commenters from any LinkedIn post URL and automatically sends each one a personalized connection request. Get started by connecting your API key.

Is it safe to automate LinkedIn connection requests to commenters?

Yes, when done within LinkedIn's limits (20–25/day) with randomized delays between sends. ConnectSafely's API uses human-like behavior patterns to stay compliant. Targeting commenters is especially safe because they've already engaged with your content, making the connection feel natural.

How many connection requests can I send per day safely?

Start with 10–15/day for new accounts, or 20–25/day for established accounts. Use ConnectSafely's built-in rate limiting and add a 30–60 second Sleep module in Make between each send. Gradually increase over weeks rather than jumping to maximum limits immediately.

What's a good connection message for post commenters?

Keep it short, specific, and reference the post: "Hey [Name], your comment on [topic] caught my attention — I'm working on the same problem. Would love to connect!" Under 280 characters, reference the post context, no pitches in the first message. See the FAQ in our AI outreach blueprint for more message templates.

Can I use this for someone else's post (not just my own)?

Yes — any public LinkedIn post URL works. Targeting commenters on competitor or industry thought leader posts is a powerful strategy for reaching pre-qualified audiences who are already engaging with your niche.

Related Workflows

• AI-Powered LinkedIn Outreach with Make.com + Gemini - Add AI personalization to your outreach
• n8n: Send Connections to Post Commenters - Same workflow, built on n8n
• LinkedIn Commenters to HubSpot CRM - Sync commenters directly to your CRM

---

Ready to turn your LinkedIn engagement into real connections? Start your ConnectSafely free trial to launch in minutes.