🎯 LinkedIn B2B Buying Signal Detector
Slug: linkedin-buying-signal-detector
Category: Sales Intelligence / Lead Generation
Powered by: Apify + Claude AI
Detect who is ready to buy RIGHT NOW by analyzing LinkedIn job postings, company growth signals, tech stack changes, and hiring patterns — then auto-generate hyper-personalized outreach messages.
💡 Why This Skill Dominates
Most lead gen tools find who to contact. This skill tells you when to contact them — at the exact moment they have budget, urgency, and intent. No SaaS equivalent under $2,000/month.
Buying signals detected:
- 🚀 Company hiring Sales/Marketing roles → scaling, has budget
- 🔧 Hiring DevOps/Cloud Engineers → infrastructure investment incoming
- 📈 Headcount growth > 20% in 90 days → expansion phase
- 💼 New C-level hire (CMO, CTO, VP Sales) → new budget owner, new priorities
- 📣 Job descriptions mentioning competitor tools → switching signal
- 🏆 Recent funding round mention in job posts → fresh cash to spend
🛠️ Apify Actors Used
Get your Apify API key here: https://www.apify.com?fpr=dx06p
| Actor | ID | Purpose |
|---|
| LinkedIn Jobs Scraper | curious_coder/linkedin-jobs-scraper | Scrape job postings by company/keyword |
| LinkedIn Company Scraper | anchor/linkedin-company-scraper | Extract headcount, growth, funding info |
| Google News Scraper | apify/google-news-scraper | Detect funding rounds, press releases |
| LinkedIn Profile Scraper | dev_fusion/linkedin-profile-scraper | Find decision-makers + contact info |
⚙️ Workflow
INPUT: Target niche + location + ICP criteria
↓
STEP 1 — Scrape LinkedIn Jobs (last 30 days)
└─ Filter by: hiring roles = buying signals
↓
STEP 2 — Scrape Company Profiles
└─ Extract: headcount, growth %, tech stack, funding
↓
STEP 3 — Score each company (0–100 intent score)
└─ Weighted signals → Hot / Warm / Cold
↓
STEP 4 — Find Decision Makers
└─ CEO / VP Sales / CMO / CTO profiles + emails
↓
STEP 5 — Claude AI generates personalized outreach
└─ Email + LinkedIn message referencing the exact signal
↓
OUTPUT: Scored lead list + ready-to-send messages (CSV / JSON / Notion / CRM)
📥 Inputs
{
"niche": "SaaS companies",
"location": "France",
"hiring_signals": ["Sales Manager", "Growth Hacker", "DevOps Engineer"],
"min_employees": 10,
"max_employees": 500,
"days_lookback": 30,
"max_companies": 50,
"apify_token": "YOUR_APIFY_TOKEN",
"output_format": "csv"
}
📤 Output Example
{
"companies": [
{
"name": "ScaleUp SAS",
"website": "scaleup.fr",
"linkedin_url": "linkedin.com/company/scaleup-sas",
"headcount": 87,
"growth_90d": "+34%",
"intent_score": 91,
"intent_label": "🔥 HOT",
"signals_detected": [
"Hiring VP Sales (posted 3 days ago)",
"Hiring 4 SDRs simultaneously",
"Job post mentions switching from HubSpot to Salesforce"
],
"decision_makers": [
{
"name": "Marie Dupont",
"title": "CEO",
"linkedin": "linkedin.com/in/marie-dupont",
"email": "m.dupont@scaleup.fr"
}
],
"ai_outreach": {
"email_subject": "ScaleUp × [Votre outil] — timing parfait ?",
"email_body": "Bonjour Marie, j'ai remarqué que ScaleUp recrute activement un VP Sales et 4 SDRs en ce moment...",
"linkedin_message": "Marie, votre croissance de 34% en 90 jours est impressionnante..."
}
}
],
"summary": {
"total_companies_analyzed": 50,
"hot_leads": 8,
"warm_leads": 19,
"cold_leads": 23,
"run_date": "2025-02-28"
}
}
🧠 Claude AI Prompt (Scoring + Outreach)
You are a B2B sales intelligence expert.
Given this company data:
- Company: {{company_name}}
- Recent job postings: {{job_titles}}
- Headcount growth: {{growth_pct}}% in 90 days
- Signals detected: {{signals}}
- Target decision maker: {{dm_name}}, {{dm_title}}
1. Calculate an intent score from 0-100 based on the signals.
2. Label as: 🔥 HOT (80+), ⚡ WARM (50-79), ❄️ COLD (<50)
3. Write a personalized cold email (subject + 5 lines max) referencing
the MOST compelling signal.
4. Write a LinkedIn message (300 chars max) that feels human, not spammy.
Return valid JSON only.
💰 Cost Estimate (Apify Compute Units)
| Volume | Estimated CU | Apify Cost |
|---|
| 10 companies | ~15 CU | ~$0.15 |
| 50 companies | ~60 CU | ~$0.60 |
| 200 companies | ~220 CU | ~$2.20 |
| 1,000 companies | ~1,000 CU | ~$10 |
💡 Start free: Apify offers $5 free credits/month — enough to test 500 companies.
👉 Create your free Apify account here
🚀 Setup Instructions
1. Get Your Apify API Token
- Sign up at https://www.apify.com?fpr=dx06p
- Go to Settings → Integrations → API Token
- Copy your token
2. Configure the Skill
Paste your Apify token in the apify_token field when running the skill.
3. Define Your ICP
Specify your Ideal Customer Profile:
- Industry / niche
- Company size range
- Location
- Hiring roles that signal buying intent for YOUR product
4. Run & Export
Results are exported as CSV, JSON, or pushed directly to Notion / Airtable / your CRM.
🔗 Integrations
| Platform | Action |
|---|
| Slack | Alert when 🔥 HOT lead detected |
| Notion | Auto-populate leads database |
| Airtable | CRM-ready structured output |
| HubSpot / Pipedrive | Direct lead import via webhook |
| Email | Weekly digest of top signals |
📊 Competitive Advantage vs Existing Skills
| Feature | B2B Lead Gen (yours) | Google Maps (yours) | This Skill |
|---|
| Finds contact info | ✅ | ✅ | ✅ |
| Scores buying intent | ❌ | ❌ | ✅ |
| Detects timing signals | ❌ | ❌ | ✅ |
| AI-personalized outreach | ❌ | ❌ | ✅ |
| Tracks competitor mentions | ❌ | ❌ | ✅ |
| Monitors headcount growth | ❌ | ❌ | ✅ |
⚠️ Limitations & Best Practices
- LinkedIn may rate-limit heavy scraping → recommended max 200 companies/run
- Email accuracy: ~70-80% (cross-reference with Hunter.io for best results)
- Re-run weekly on the same target list to catch new signals
- GDPR: Only use publicly available LinkedIn data, personalize responsibly
🏷️ Tags
lead-generation sales-intelligence linkedin buying-signals b2b outreach apify intent-data prospecting crm-enrichment
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