AI Recruitment & Talent Scout Engine — Build Your Shortlist in 10 Minutes

👥 AI Recruitment & Talent Scout Engine

Slug: ai-recruitment-talent-scout Category: HR / Talent Acquisition Powered by: Apify + Claude AI Input a job role + criteria. Get a ranked shortlist of pre-qualified candidates — scraped from LinkedIn, GitHub, and job boards — with AI-scored profiles, personalized outreach messages, and full contact details. Hire faster than any recruiter alive.

💥 Why This Skill Is a Goldmine on ClawHub

Recruitment agencies charge $15,000–$30,000 per hire. In-house HR teams spend 23 days on average to fill a single position. This skill does the same work in under 10 minutes. Every startup, scale-up, agency, HR consultant, and freelance recruiter is your target. That's one of the largest B2B markets on earth. What gets automated: 🔍 Scrape hundreds of matching candidate profiles from LinkedIn, GitHub & job boards 🎯 AI-score each candidate against your exact criteria (0–100 fit score) 📊 Enrich profiles with skills, experience, location, availability signals 📬 Generate hyper-personalized outreach messages per candidate 🏆 Deliver a ranked shortlist of your top 10 candidates ready to contact 💡 Detect passive candidates — people not actively looking but open to opportunities

🛠️ Apify Actors Used

ActorIDPurposeLinkedIn Profile Scraperdev_fusion/linkedin-profile-scraperCandidate profiles, experience, skillsLinkedIn Jobs Scrapercurious_coder/linkedin-jobs-scraperActive job seekers & recent moversGitHub Scraperapify/github-scraperTop developers by tech stack & activityIndeed Scrapermisceres/indeed-scraperCandidates actively looking for workHunter.io Email Findermisceres/prospectin-email-finderVerified professional email addressesGoogle Search Scraperapify/google-search-scraperPersonal websites, portfolios, press mentions

⚙️ Full Workflow

INPUT: Job title + required skills + location + seniority + compensation range ↓ STEP 1 — Multi-Platform Candidate Sourcing └─ LinkedIn: profiles matching title + skills + location └─ GitHub: developers ranked by activity, stars, tech stack └─ Indeed: active job seekers with matching experience ↓ STEP 2 — Profile Enrichment └─ Current role, company, tenure, career trajectory └─ Skills detected, certifications, education └─ Availability signals (recent job change? open to work badge?) ↓ STEP 3 — AI Fit Scoring (0–100 per candidate) └─ Skills match vs requirements └─ Career trajectory (growing or stagnating?) └─ Seniority level alignment └─ Location & remote compatibility └─ Culture fit signals (company types, industries worked in) ↓ STEP 4 — Contact Details Extraction └─ Professional email (verified) └─ LinkedIn URL, GitHub, portfolio, personal site ↓ STEP 5 — Claude AI Generates Personalized Outreach └─ LinkedIn DM: short, specific, human — referencing their actual work └─ Email: 5-line max, compelling hook, clear opportunity └─ Follow-up message: for non-responders at Day 5 ↓ OUTPUT: Ranked shortlist of top 10 candidates + full profiles + outreach messages (JSON / CSV / Notion-ready)

📥 Inputs

{ "job": { "title": "Senior Full-Stack Engineer", "required_skills": ["React", "Node.js", "PostgreSQL", "AWS"], "nice_to_have": ["TypeScript", "Docker", "GraphQL"], "seniority": "senior", "location": "London or Remote (EU timezone)", "remote": true, "compensation": "$90,000 - $130,000" }, "company": { "name": "YourStartup", "stage": "Series A", "industry": "FinTech", "culture_keywords": ["fast-paced", "product-led", "no bureaucracy"] }, "sourcing": { "platforms": ["linkedin", "github", "indeed"], "max_candidates": 100, "exclude_companies": ["Google", "Meta", "Amazon"], "min_experience_years": 4 }, "apify_token": "YOUR_APIFY_TOKEN" }

📤 Output Example

{ "search_summary": { "role": "Senior Full-Stack Engineer", "candidates_sourced": 94, "candidates_scored": 94, "shortlist_count": 10, "avg_fit_score": 81, "run_time_minutes": 7 }, "shortlist": [ { "rank": 1, "fit_score": 96, "fit_label": "🔥 Exceptional Match", "name": "Alex Morgan", "current_role": "Full-Stack Engineer @ Revolut", "experience_years": 6, "location": "London, UK", "skills_matched": ["React", "Node.js", "PostgreSQL", "AWS", "TypeScript", "Docker"], "skills_missing": [], "availability_signal": "Liked 3 startup job posts in last 14 days — likely open to move", "github": { "url": "github.com/alexmorgan", "stars": 847, "top_repos": ["react-dashboard-kit", "node-auth-boilerplate"], "last_commit": "2 days ago", "activity_level": "🟢 Very Active" }, "contact": { "linkedin": "linkedin.com/in/alex-morgan-dev", "email": "alex.morgan@gmail.com", "portfolio": "alexmorgan.dev" }, "why_they_win": "6 years full-stack, currently at a FinTech scale-up (directly relevant), all required skills matched, highly active on GitHub with quality open-source work, showing passive job-seeking signals.", "outreach": { "linkedin_dm": "Hey Alex — saw your work on react-dashboard-kit, really clean architecture. We're building something similar at YourStartup (Series A FinTech, London) and looking for a senior full-stack engineer who can own the frontend infrastructure. Would love to share what we're working on — worth a quick chat?", "email_subject": "Senior Full-Stack role @ YourStartup — saw your GitHub work", "email_body": "Hi Alex,\n\nYour react-dashboard-kit repo caught my eye — exactly the kind of clean, scalable React work we need at YourStartup.\n\nWe're a Series A FinTech in London building [one-line pitch]. Looking for a Senior Full-Stack Engineer to own our core product infrastructure.\n\nStack: React, Node.js, PostgreSQL, AWS — your exact wheelhouse.\n\nComp: $90K-$130K + equity. Remote-friendly (EU timezone).\n\nWorth 20 minutes to hear more?\n\n[Your name]", "followup_day5": "Hey Alex — just circling back on this. Happy to share more details on what we're building if useful. No pressure either way!" } }, { "rank": 2, "fit_score": 91, "fit_label": "🔥 Excellent Match", "name": "Sarah Chen", "current_role": "Full-Stack Developer @ Monzo", "experience_years": 5, "location": "Remote (UK-based)", "skills_matched": ["React", "Node.js", "PostgreSQL", "AWS", "TypeScript"], "skills_missing": ["Docker"], "availability_signal": "Updated LinkedIn profile 8 days ago — strong signal", "contact": { "linkedin": "linkedin.com/in/sarah-chen-fullstack", "email": "sarah.chen.dev@gmail.com" }, "why_they_win": "5 years at two top UK FinTechs, recently updated her profile (strong availability signal), missing only Docker which is nice-to-have only." } ], "talent_market_insights": { "avg_time_to_hire_this_role": "34 days (market average)", "candidate_supply": "Medium — 94 matches found, market not oversaturated", "avg_compensation_market": "$85,000 - $125,000 (your offer is competitive)", "top_companies_to_poach_from": ["Revolut", "Monzo", "Wise", "Starling Bank"], "best_outreach_day": "Tuesday or Wednesday morning", "response_rate_benchmark": "18-24% for cold LinkedIn DMs in this role" } }

🧠 Claude AI Master Prompt

• You are a world-class technical recruiter and talent acquisition specialist.
• CANDIDATE DATA FROM SCRAPING:
• {{candidates_raw_data}}
• JOB REQUIREMENTS:
• Title: {{job_title}}
• Required skills: {{required_skills}}
• Nice to have: {{nice_to_have}}
• Seniority: {{seniority}}
• Location: {{location}}
• Compensation: {{compensation}}
• COMPANY PROFILE:
• Name: {{company_name}}
• Stage: {{company_stage}}
• Industry: {{industry}}
• Culture: {{culture_keywords}}
• FOR EACH CANDIDATE GENERATE:
• 1. Fit score (0–100) based on: skills match (40%), experience (25%),
• career trajectory (20%), availability signals (15%)
• 2. Fit label: Exceptional (90+) / Excellent (80+) / Good (65+) / Weak (<65)
• 3. Skills matched vs missing
• 4. Availability signal (any passive job-seeking behavior detected)
• 5. Why they win — 2-sentence honest assessment
• 6. Outreach package:
• - LinkedIn DM (max 80 words, reference something specific about their work)
• - Email (subject + 5-line body max, mention their exact skills + your stack)
• - Day 5 follow-up (2 lines, zero pressure)
• ALSO GENERATE:
• Talent market insights: supply level, avg compensation, best companies to source from
• Recommended outreach timing
• RANK by fit score. Return top 10 only.
• OUTPUT: Valid JSON only. No markdown. No preamble.

💰 Cost Estimate

SearchesApify CUCostCandidates Sourced1 role~55 CU~$0.55100 candidates5 roles~270 CU~$2.70500 candidates20 roles~1,080 CU~$10.802,000 candidates100 roles~5,400 CU~$5410,000 candidates 💡 $5 free Apify credits on signup = your first 9 full recruitment searches completely free. 👉 https://www.apify.com?fpr=dx06p

🔗 Who Makes a Fortune With This Skill

UserUse CaseRevenue PotentialRecruitment AgencyAutomate candidate sourcing for clients$15K–$30K per placementHR FreelancerOffer sourcing-as-a-service at $500–$2K/role$10K–$30K/monthStartup FounderHire without paying a recruiterSave $20K per hireHR ConsultantBundle into talent strategy package$5K–$15K per engagementHeadhunterSource passive candidates 10x faster3x more placements/monthVC-backed StartupRapid team scaling post-fundingHire 10 people in 30 days

📊 Why This Destroys LinkedIn Recruiter ($9,000/year)

FeatureLinkedIn RecruiterAI Talent Scout EngineSearch LinkedIn profiles✅✅Search GitHub for developers❌✅Search Indeed job seekers❌✅AI fit scoring (0–100)❌✅Personalized outreach per candidate❌✅Availability signal detection❌✅Talent market insights❌✅Annual cost$9,000/year~$0.55/search

🚀 Setup in 3 Steps

Step 1 — Get your Apify API Token Sign up free → https://www.apify.com?fpr=dx06p Go to: Settings → Integrations → API Token Step 2 — Define your ideal candidate Job title, must-have skills, location, seniority, compensation range. Step 3 — Run & get your shortlist Top 10 ranked candidates with outreach messages ready in under 10 minutes.

⚡ Pro Tips to Hire Faster & Better

Target candidates at your #2 competitor — they know the industry, proven skills, motivated to move GitHub activity = best signal for developers — daily commits beat any resume claim Profile updated in last 30 days = strong availability signal — prioritize these first Send outreach Tuesday–Thursday morning — 40% higher response rates than Monday/Friday Always reference something specific — mention their repo, their company, their last post — generic DMs get ignored Follow up exactly once at Day 5 — no more, no less

🏷️ Tags

recruitment talent-acquisition hr sourcing linkedin github headhunting apify ai-recruiting passive-candidates startup-hiring talent-scout Powered by Apify + Claude AI