Linkedin Buying Detector

Detect LinkedIn hiring and growth signals to identify B2B companies ready to buy now and auto-generate personalized outreach messages.

Security Scan

The skill's instructions clearly require third‑party API credentials and push scraped personal/contact data to external services, but the registry metadata does not declare those credentials or integrations — the inputs and declared requirements are inconsistent.

Purpose & Capability

The skill's stated purpose (detect LinkedIn buying signals and generate outreach) matches the described workflow (scrape LinkedIn, company profiles, find decision‑makers, generate messages). However, the SKILL.md explicitly requires an Apify API token (and implies use of Claude/Anthropic and CRM/Notion/Airtable/Slack integrations) while the skill metadata declares no required env vars or primary credentials — that mismatch is unexpected and incoherent.

Instruction Scope

Runtime instructions tell the agent to scrape LinkedIn jobs/profiles, extract headcount and emails, call Apify actors, and pass company/profile data to Claude AI to generate outreach. The instructions include external data flows (Apify actors, Claude AI) and imply pushing results to Notion/Airtable/CRMs/Slack, but they do not constrain or document required credentials, nor do they describe safeguards for collecting/transmitting personal contact data. The scope expands beyond a simple local helper and involves network scraping and outbound data transmission.

Install Mechanism

This is an instruction-only skill with no install spec and no code files. That minimizes on‑disk installation risk; the runtime risk comes from network calls described in the instructions (Apify, Claude, and webhooks).

Credentials

The instructions require an Apify token and implicitly need an AI/model key (Claude/Anthropic) plus credentials for integrations (Notion, Airtable, HubSpot, Slack) to realize the listed outputs. The registry metadata lists no required environment variables or primary credential, so requested secrets are not declared — this is disproportionate and raises a risk that users will be asked for tokens at runtime without those needs being visible up front.

Persistence & Privilege

The skill does not request always:true, does not install persistent components, and does not modify other skills or system configs. Autonomous invocation is allowed (platform default) but not combined with elevated privileges here.

What to consider before installing

What to consider before installing: - The SKILL.md expects an Apify API token (and implies an AI model key such as Anthropic/Claude plus CRM/Notion/Slack credentials) but the skill metadata declares none — treat that as a red flag. Only provide the Apify token or other credentials if you trust the skill source. - This skill instructs scraping LinkedIn and harvesting contact emails/decision‑maker info and will send that data to external services (Apify actors, AI provider, and potentially your CRM). Confirm legal/ToS/privacy implications for your use case and target jurisdiction. - Because the skill is instruction-only (no code files), there is no local code to audit; risk surfaces are network interactions. If you proceed, run it with least-privileged tokens (test accounts or read-only API keys), limit max_companies to a small number, and monitor outbound network activity. - Ask the publisher (or request updated metadata) to: (1) declare required env vars (APIFY_TOKEN, ANTHROPIC/CLAUDE key, and any integration tokens) in the registry, (2) document exactly which third‑party actors are run and what data they receive, and (3) provide an option to disable pushing results to external CRMs/webhooks. - If you cannot obtain that information, treat installation as higher risk and prefer sandboxed testing with throwaway credentials or decline.

🎯 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.

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💡 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

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🛠️ 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": "[e-mail]"
        }
      ],
      "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

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🚀 Setup Instructions

1. Get Your Apify API Token

1. Sign up at https://www.apify.com?fpr=dx06p
2. Go to Settings → Integrations → API Token
3. 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.

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🔗 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

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📊 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	❌	❌	✅

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⚠️ 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

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🏷️ Tags

lead-generation sales-intelligence linkedin buying-signals b2b outreach apify intent-data prospecting crm-enrichment

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