Agent systems
LinkedIn High Intent Lead Scanner and Enricher
The agent system and command centre to initiate, manage, and engage with LinkedIn profiles, impressions, and cross-profile engagement without manual intervention and full Human In The Loop control.
Want to build and manage your own multi agent team?
I launched my new community for founders and entrepreneurs to build, run, and maintain your own multiple agent taskforce command centre.
What’s inside:
- Live Q&A's and build walkthroughs for your own multi agent taskforce
- Access to every new agent, skill, workflow, and automation we build
- A community of founders like you, building real agent systems for themselves
Overview
The LinkedIn High Intent Lead Scanner and Enricher provides a central command centre to initiate, manage, and engage with LinkedIn profiles, impressions (likes, comments, and more), and cross-profile engagement without manual intervention.
Automate keyword-based post discovery, filter for high engagement, extract active commenters, and organise everything into multiple, structured databases.
The system also allows multiple human-in-the-loop (HITL) checkpoints to ensure you oversee every aspect and step of engagement and only retain high-intent profiles.
The system runs on scheduled intervals and engagement metrics you define, so profile, comment, and impression volume and frequency are controlled by your outreach and engagement strategy.
How does this help?
- Auto filter by LinkedIn data, e.g. profile type, impressions, engagement, comments
- Schedule runs by volume and filtered data to match marketing campaigns and engagement strategies
- Build multiple leads databases of high-intent prospects ready for personalised outreach and establishing connections
Apps and tools
- Apify
- n8n
- Airtable
Main steps: building your LinkedIn lead engine
Step 1: Automate keyword-based post discovery
- Use Apify to automatically pull LinkedIn posts based on high-intent keywords
- Select 3 to 5 buying-intent phrases relevant to your niche (e.g. “need help with”, “looking for”, “struggling with”)
- Restrict results to posts from the last 24 hours, and schedule the scraper to run daily
Pro Note: Focus on phrases that signal urgency or frustration. You want people expressing problems, not general commentary. This captures prospects at the exact moment they express need.
Step 2: Apply engagement threshold filters
- Set minimum likes to 200+
- Set minimum comments to 100+
- Require authors to have 20K+ followers
Tip: If you operate in a niche industry, lower the thresholds. If you see too many results, raise them. Optimise for signal, not volume, you now focus only on high-visibility conversations.
Want to manage your own agency OS? Learn everything here
Step 3: Push filtered posts into a structured database
- Send qualified posts into Airtable from the automated system in n8n
- Create a “High-Quality Posts” database with: post URL, author name, engagement metrics, post preview, and date added
Pro Note: HITL Checkpoint #1: manually review and approve posts worth engaging with. You automate collection, not judgement. This creates your first controlled decision layer.
Step 4: Extract commenters from approved posts
- Trigger a second automation when you mark a post as approved
- Pull all commenters (100 to 200 profiles per post)
- Capture name, headline, connection level, and comment copy and URL, then store them in a new pipeline
Pro Note: A post with 150 comments gives you 150 warm-context profiles in one action. Commenters are already engaged in the topic, context-aware prospects from the start.
Step 5: Enrich each commenter profile
- Pull their most recent post (last 24 hours if possible)
- Capture bio and headline details, and log their engagement metrics
- Store everything in a “Lead Profiles” database
Pro Note: HITL Checkpoint #2: review real people and recent activity before engaging. Qualification remains manual. This turns raw names into informed opportunities.
Want to manage your own agency OS? Learn everything here
Step 6: Prioritise and prepare personalised engagement
- Mark each lead as High Priority, Medium, or Skip
- Identify alignment with your offer or outreach strategy, e.g. DM or connection request
- Add notes for personalised engagement angles
Pro Note: Do not automate comments or DMs. Automate discovery, keep relationship-building human. This protects brand integrity.
Step 7: Schedule a daily operating rhythm
- Morning (5 minutes): review “High-Quality Posts” and approve posts for commenter extraction
- Midday (10 to 15 minutes): review “Lead Profiles”, engage with their posts, and comment on selected high-impression posts
Pro Note: System logic: Apify runs every 24 hours, n8n processes automatically, and your database refreshes daily without manual searching.
Want to manage your own agency OS? Learn everything here
Final checklist
- Choose high-intent LinkedIn keywords
- Configure auto search and engagement filters to get the best leads based on engagement metrics
- Automate data flow into multiple databases
- Engage with profiles that are already connected within your original engagement filters to build a high-intent leads database
Join 2500+ members in my online communities building real agent systems or reach out to me below and start building your agency to run without you.
