Find High-Intent Leads from Your Competitors’ LinkedIn Posts

Nathan This badge shows you’re hearing straight from the source! Team members are here to share insider tips, answer questions, and guide you through PhantomBuster with expert knowledge. They’re dedicated to helping you succeed and making sure your automation journey feels easy and exciting. PhantomBuster Official

What if you could find leads who are already interested in what you do without cold searching?

That’s the power of intent signals.
According to LinkedIn data, 57% of B2B teams see a 40%+ boost in lead conversion when they act on intent data.

And one of the best intent sources on LinkedIn?
Your competitors’ posts.

People liking or commenting on your competitors’ content are already engaged with your market. They’re warm prospects and you can reach them at exactly the right moment.

In this Playbook, you’ll learn how to:
- Spot high-intent prospects from competitor activity
- Build a clean lead list automatically
- Start conversations that convert

⚙️ Step 1: Extract Competitor Activity

Start with a simple Google Sheet listing the LinkedIn URLs of your main competitors.
Example: five companies in your niche whose audience overlaps with yours.

Then, in PhantomBuster:

  • Open the LinkedIn Activity Extractor
  • Paste your spreadsheet URL as the input
  • Choose “Posts only” as the activity type
  • Leave the number of items per launch at 20 (default)

Launch the Phantom, and you’ll instantly extract each competitor’s latest posts, along with metrics like likes and comments.

This gives you the base content that’s already attracting your target audience.

🧲 Step 2: Extract Engagers (Likers + Commenters)

Next, we’ll extract the people who interacted with those posts: the warmest prospects you could find.

Run two Phantoms:

  1. LinkedIn Post Likers Export → to get everyone who liked the posts
  2. LinkedIn Post Commenters Export → to capture those who commented

Both use the Activity Extractor output as their input.

💡 Pro tip:
Enable Watcher Mode if you want these Phantoms to run continuously.
That way, every time your competitors post something new, PhantomBuster automatically updates your list of new engagers.

🗂️ Step 3: Combine and Organize Your Leads

Once both Phantoms finish running, go to your LinkedIn Leads Database and create a new list:

  • Filter leads processed by Phantom → select both your Likers and Commenters Phantoms.
  • Save the filters as a new list (for example, “Competitor Post Engagers”).

Now you’ve got a clean, unified list of people actively engaging with competitor content: warm, relevant, and ready to connect.

💬 Step 4: Automate Your Outreach

Now, let’s turn those signals into conversations.

Use the Connect and Send Follow-up Messages flow in PhantomBuster:

  1. Input: your “Competitor Post Engagers” list.
  2. Connect your LinkedIn account.
  3. Send a connection request (with or without a note).
  4. Schedule your follow-ups:
    • 1 day after acceptance → send a first message.
    • 7 days later → send a friendly follow-up.

You can track everything in the Leads and Reports tabs: invitations sent, follow-ups delivered, and replies received.

🔁 Optional: Make It Fully Automated

To scale this Playbook automatically, enable Watcher Mode and configure all four Phantoms to launch one after each other:

  • Activity Extractor
  • Likers Export
  • Commenters Export
  • Outreach Flow

Each time a competitor publishes a new post, the system will extract new engagers and connect with them automatically.

This means your lead generation engine runs continuously, uncovering new high-intent prospects daily without you lifting a finger.

🚀 Why This Works

This Playbook helps you:

  • Identify people already active in your market
  • Engage them right when their interest peaks
  • Build an authentic connection before your competitors do

It’s simple, scalable, and one of the most effective ways to turn social engagement into sales conversations.

Ready to try it?
👉 Launch the Competitor Engagement Playbook now on PhantomBuster.

 

Article written by Nathan Guillaumin, find me on LinkedIn.

Comments

0 comments

Please sign in to leave a comment.