linkedin-miner

name	linkedin-miner
description	Mine LinkedIn posts for engaged prospects using Fresh LinkedIn Data API (RapidAPI). Scrapes posts by keyword/influencer and extracts engagers (commenters + reactors) with profile data.

LinkedIn Miner

Mine LinkedIn engagement to find warm prospects. People who engage with niche content are already interested in the topic — they're warm leads.

What It Does

1. Searches LinkedIn posts by keyword OR scrapes influencer's posts
2. Extracts all engagers (commenters + reactors)
3. Returns profile data: name, headline, LinkedIn URL
4. Prioritizes commenters (higher intent than likers)

API: Fresh LinkedIn Data (RapidAPI)

Uses Matt's existing RapidAPI subscription — no additional costs.

Endpoints Used:

Endpoint	Purpose	Credits
POST /search-posts	Find posts by keyword	2/call
GET /get-profile-posts	Get influencer's posts	2/call
GET /get-post-comments	Extract commenters	(included)
GET /get-post-reactions	Extract reactors	(included)

Invocation

# Search by keyword
./scripts/mine.sh "AI marketing automation" 10

# Scrape influencer's posts (use LinkedIn URN)
./scripts/mine.sh --influencer "ACoAABOPHB8BM6..." 5

# Output to file
./scripts/mine.sh "SaaS growth" 20 > leads.json

Arguments

Argument	Description	Default
<query>	Search keyword/topic	Required
--influencer	LinkedIn URN to scrape posts from	None
<max_posts>	Max posts to process	10

Setup

Environment Variables

export RAPIDAPI_KEY="YOUR_RAPIDAPI_KEY_HERE"

Dependencies

• curl (for API calls)
• jq (for JSON parsing)

Output Format

{
  "meta": {
    "query": "AI marketing automation",
    "posts_processed": 10,
    "total_engagers": 156,
    "commenters": 32,
    "reactors": 124,
    "scraped_at": "2026-02-14T15:00:00Z"
  },
  "leads": [
    {
      "name": "Jane Doe",
      "headline": "VP Marketing at Acme Corp",
      "linkedin_url": "https://linkedin.com/in/janedoe",
      "linkedin_urn": "ACoAABOPHB8BM6...",
      "engagement_type": "comment",
      "engagement_text": "Great insights on automation!"
       
       
    
  

Intent Scoring

Score	Engagement Type
10	Detailed comment with question
8	Comment with insight/agreement
6	Simple comment ("Great post!")
4	Reaction (like, celebrate, etc.)

Pipeline Flow

linkedin-miner → lead-enricher → email-verifier → icp-scorer → outreach-writer → instantly-loader

Credit Costs

Action	Credits
Search 10 posts	2
Get comments (per post)	~0 (bundled)
Get reactions (per post)	~0 (bundled)
Total for 10 posts	~2-4 credits

Example Workflow

# Morning routine: Mine fresh engagers
./scripts/mine.sh "AI for agencies" 20 > today_leads.json

# Mine from competitor's audience
./scripts/mine.sh --influencer "ACoAAcompetitor123" 10 > competitor_leads.json