OmniExtract AI

🚀 The Most Powerful LinkedIn Job Scraper + AI Web Extraction + Executive Recruiting Platform

Scrape 1000+ LinkedIn jobs in minutes. Extract data from any website with AI. Find decision makers & hiring managers with employment verification. Get full executive job search strategy with personalized outreach. No coding required.

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⭐ Why Choose OmniExtract AI?

Feature	OmniExtract AI	Other Scrapers
LinkedIn Jobs	✅ Up to 1000 jobs/run	❌ Limited or blocked
AI-Powered Extraction	✅ Natural language	❌ Complex selectors
Multi-LLM Support	✅ 6+ providers	❌ Single provider
No Rate Limits	✅ Smart pagination	❌ Frequent blocks
Job Detail Scraping	✅ Full descriptions	❌ Basic info only
Audio Summaries	✅ Text-to-Speech	❌ Not available
🔥 Hiring Manager Finder	✅ Employment verified contacts	❌ Manual research
🔥 Reverse Recruiter	✅ Full executive strategy + verified contacts	❌ Not available
🔥 Personalized Outreach	✅ AI-generated emails	❌ Not available
🔥 Stale Contact Filter	✅ Auto-detects people who left companies	❌ Outdated data

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📋 All Extraction Modes

Mode	Purpose	Best For
💼 LinkedIn Jobs	Scrape job listings at scale	Job seekers, recruiters, market research
👔 Hiring Manager Finder	Find hiring managers for specific jobs or companies	Job seekers, sales, networking
🎯 Reverse Recruiter	Full executive job search strategy	Executives, career changers, job seekers
🔍 Web Scraper	Extract data from any URL	Product pages, articles, directories
🌐 Web Search	Search web & extract	Research, competitor analysis

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🎯 REVERSE RECRUITER

The Ultimate Executive Job Search Strategy Tool

Get a complete Executive Intelligence Dossier with:

• ✅ Target companies matched to your background
• ✅ Verified talent gatekeepers (recruiters) at each company
• ✅ Verified decision makers (Engineering Managers, Directors, VPs)
• ✅ Personalized LinkedIn & email outreach campaigns
• ✅ Interview preparation tips
• ✅ Networking strategy
• ✅ Stale contact filtering - Auto-detects people who left companies

⚡ Quick Start

{
  "graph_type": "ReverseRecruiter",
  "resume_text": "Your full resume text here...",
  "target_role_direction": "VP of Engineering, Director of Product",
  "target_industries": "Fintech, AI/ML, Clean Energy",
  "target_geo": "San Francisco Bay Area",
  "num_target_companies": 20,
  "llm_provider": "gemini",
  "llm_api_key": "your-api-key",
  "serper_api_key": "your-serper-key"
}

💡 Serper API key required for search queries. Get FREE 2,500 searches/month at https://serper.dev

### 📦 What You Get Back

```json
{
  "candidate_profile": {
    "name": "Sarah Chen",
    "current_role": "Senior Software Engineer",
    "current_company": "Stripe",
    "years_experience": "8+",
    "seniority_level": "Senior",
    "core_functions": ["Backend Development", "System Design", "Team Leadership"],
    "top_skills": ["Go", "Kubernetes", "AWS", "PostgreSQL", "Python"],
    "unique_value_proposition": "Seasoned engineer with 8+ years building scalable distributed systems..."
  },
  "executive_summary": {
    "unfair_advantage": "Rare blend of deep technical expertise in distributed systems...",
    "billion_dollar_problems": ["Scaling AI/ML infrastructure...", "Building robust payment systems..."],
    "positioning_statement": "Senior Engineering Leader with proven track record..."
  },
  "priority_targets": [
    {
      "name": "Robinhood",
      "category": "Core Target",
      "fit_reason": "Fintech company with similar challenges to Stripe in scaling payment systems",
      "why_now": "Expanding Money Experience team, recent Engineering Manager postings",
      "company_size": "SMB",
      "location": "Menlo Park, CA",
      "company_domain": "robinhood.com",
      "company_website": "https://robinhood.com/",
      "talent_gatekeepers": [
        {
          "name": "Victoria Castro",
          "role": "Recruiting @ Robinhood",
          "linkedin_url": "https://linkedin.com/in/victoriacastro21",
          "contact_type": "talent_gatekeeper"
        }
      ],
      "decision_makers": [
        {
          "name": "Chuan Shi",
          "role": "Engineering Manager at Robinhood",
          "linkedin_url": "https://linkedin.com/in/chuan-shi",
          "contact_type": "decision_maker"
        }
      ],
      "recent_news": [
        {
          "title": "Robinhood expands crypto offerings",
          "snippet": "Company announces new features...",
          "url": "https://news.example.com/robinhood"
        }
      ]
    }
  ],
  "outreach_campaigns": [
    {
      "company": "Robinhood",
      "target_contact": "Chuan Shi",
      "personalization_hook": "Robinhood's payment infrastructure challenges align with my Stripe experience...",
      "linkedin_connect": "Hi Chuan, impressed by Robinhood's growth. With 8+ years building payment systems at Stripe...",
      "linkedin_followup_1": "Following up on my connection request...",
      "email_subject": "Scaling Robinhood's Platform Infrastructure",
      "email_1": "Hi Chuan,\n\nRobinhood's recent expansion caught my attention..."
    }
  ],
  "interview_prep": {
    "key_talking_points": ["Built payment microservices handling $500B+ transactions", "Reduced fraud false positives by 40%"],
    "questions_to_ask": ["What are the biggest infrastructure challenges?"],
    "potential_objections": ["Background is payments-focused", "Response: Highlight transferable systems skills"]
  },
  "networking_strategy": {
    "target_events": ["FinTech Connect", "KubeCon"],
    "linkedin_groups": ["Fintech Professionals", "Distributed Systems Engineers"],
    "thought_leadership_topics": ["Scaling payment infrastructure", "Real-time fraud detection"]
  },
  "_metadata": {
    "mode": "ReverseRecruiter",
    "companies": {
      "total_target_companies": 15,
      "companies_enriched": 10,
      "companies_with_contacts": 10
    },
    "contacts": {
      "total_contacts_found": 55,
      "outreach_campaigns_generated": 5
    }
  }
}

💰 Pricing

~0.025 USD per company → See Complete Pricing Guide for all tiers

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👔 HIRING MANAGER FINDER

Find Verified Recruiters & Hiring Managers at Target Companies

Perfect for:

• 🎯 Job seekers who want to reach the right people
• 💼 Sales teams finding decision makers
• 🔍 Recruiters building contact lists

Key Features:

• ✅ Employment verification - Confirms contacts still work at the company
• ✅ Stale contact filtering - Auto-detects people who left (shows "Ex-Company")
• ✅ Smart query generation - LLM-powered search optimization
• ✅ Role-specific targeting - Finds relevant managers for your target role

🔄 Two Modes Available

Mode	Best For	Required Fields
Single Job Mode	Found a specific job posting, want to find who's hiring	company_single, job_title_single
Multi-Company Mode	Prospecting multiple companies at once	target_companies

---

⚡ Mode 1: Single Job Mode

Found a job posting? Find the actual hiring manager!

{
  "graph_type": "HiringManagerFinder",
  "company_single": "Stripe",
  "job_title_single": "Senior Backend Engineer",
  "job_location_single": "San Francisco, CA",
  "job_link_single": "https://linkedin.com/jobs/view/123456",
  "job_description_single": "We're looking for a backend engineer to build payment infrastructure...",
  "include_recruiters": true,
  "include_team_leads": false,
  "max_contacts_per_company": 3,
  "llm_provider": "gemini",
  "llm_api_key": "your-api-key",
  "serper_api_key": "your-serper-key"
}

💡 Serper API key required for search queries. Get FREE 2,500 searches/month at https://serper.dev "llm_api_key": "sk-your-api-key" }

> 💡 **Serper API key required** for search queries. Get FREE 2,500 searches/month at https://serper.dev

**📦 Single Job Mode Output:**

```json
{
  "mode": "single_job",
  "job_details": {
    "job_title": "Senior Backend Engineer",
    "company": "Stripe",
    "location": "San Francisco, CA",
    "job_link": "https://linkedin.com/jobs/view/123456",
    "department": "Backend Engineering"
  },
  "hiring_managers": [
    {
      "company": "Stripe",
      "name": "Mike Chen",
      "role": "Engineering Manager at Stripe",
      "linkedin_url": "https://linkedin.com/in/mikechen",
      "linkedin_snippet": "Engineering Manager at Stripe · Experience: 5+ years...",
      "contact_type": "decision_maker",
      "fit_reason": "Likely hiring manager for Senior Backend Engineer at Stripe",
      "location_match": "San Francisco, CA"
    }
  ],
  "recruiters": [
    {
      "company": "Stripe",
      "name": "Sarah Johnson",
      "role": "Technical Recruiter at Stripe",
      "linkedin_url": "https://linkedin.com/in/sarahjohnson",
      "contact_type": "talent_gatekeeper",
      "fit_reason": "Recruiter who may be handling Senior Backend Engineer role at Stripe"
    }
  ],
  "outreach_strategy": {
    "recommended_approach": "Direct outreach to hiring managers yields 3-5x higher response rates",
    "message_hooks": ["Reference the specific role", "Highlight matching skills"],
    "linkedin_connection_template": "Hi [Name], I came across the Senior Backend Engineer role...",
    "email_subject_lines": ["Senior Backend Engineer Role - Experienced Candidate"]
  },
  "_metadata": {
    "mode": "HiringManagerFinder",
    "options": {
      "include_recruiters": true,
      "include_team_leads": false,
      "max_contacts_per_company": 3,
      "location_filtering": true
    },
    "results": {
      "total_contacts_found": 5,
      "stale_contacts_filtered": 1
    }
  }
}

---

⚡ Mode 2: Multi-Company Mode (Original)

Prospect multiple companies at once:

{
  "graph_type": "HiringManagerFinder",
  "target_companies": "Netflix, Stripe, Airbnb, Google, Meta",
  "target_roles": "Software Engineering, Data Science",
  "llm_provider": "openai",
  "llm_api_key": "sk-your-api-key",
  "serper_api_key": "your-serper-key"
}

💡 Serper API key required for search queries. Get FREE 2,500 searches/month at https://serper.dev

📦 Multi-Company Mode Output:

{
  "mode": "multi_company",
  "hiring_managers": [
    {
      "company": "Netflix",
      "name": "Sarah Johnson",
      "role": "Technical Recruiter at Netflix",
      "linkedin_url": "https://linkedin.com/in/sarahjohnson",
      "linkedin_snippet": "Technical Recruiter at Netflix · 5+ years recruiting...",
      "contact_type": "talent_gatekeeper",
      "confidence": "high"
    },
    {
      "company": "Stripe",
      "name": "Mike Chen",
      "role": "Engineering Manager at Stripe",
      "linkedin_url": "https://linkedin.com/in/mikechen",
      "linkedin_snippet": "Engineering Manager at Stripe · Backend systems...",
      "contact_type": "decision_maker",
      "confidence": "high"
    }
  ],
  "_metadata": {
    "mode": "HiringManagerFinder",
    "options": {
      "include_recruiters": true,
      "include_team_leads": true,
      "max_contacts_per_company": 5,
      "location_filtering": false
    },
    "results": {
      "total_contacts_found": 15,
      "stale_contacts_filtered": 2,
      "companies_searched": 5
    }
  }
}

---

🎛️ Contact Options

Control who gets included in results (works in both modes):

Option	Type	Default	Description
include_recruiters	boolean	true	Include recruiters & talent acquisition specialists
include_team_leads	boolean	true	Include team leads who influence hiring decisions
max_contacts_per_company	number	5	Max contacts per company (range: 1-10). Use lower values to control costs

Cost Control Example:

{
  "graph_type": "HiringManagerFinder",
  "company_single": "Google",
  "job_title_single": "ML Engineer",
  "include_recruiters": true,
  "include_team_leads": false,
  "max_contacts_per_company": 2
}

This returns max 2 contacts (hiring managers + recruiters only), keeping costs predictable.

💰 Pricing

~0.025 USD per contact → See Complete Pricing Guide for all tiers

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💼 LINKEDIN JOB SCRAPER

The Fastest Way to Scrape LinkedIn Jobs at Scale

Perfect for:

• 🎯 Job Seekers - Find hundreds of relevant positions instantly
• 📊 Recruiters - Build talent pipelines and track hiring trends
• 🏢 HR Teams - Competitive salary research and market analysis
• 📈 Data Analysts - Job market trends and employment data
• 🤖 Job Board Builders - Aggregate listings from LinkedIn

⚡ Quick Start - Scrape Your First 100 Jobs

{
  "graph_type": "LinkedInJobScraper",
  "job_keyword": "Software Engineer",
  "job_location": "San Francisco",
  "max_jobs": 100
}

That's it! No API keys needed for basic scraping. Results in under 2 minutes.

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🎛️ Advanced Filtering Options

Filter	Options	Example
Experience Level	internship, entry_level, associate, mid_senior, director, executive	["mid_senior", "director"]
Work Type	on_site, remote, hybrid	["remote"]
Date Posted	past_24_hours, past_week, past_month, any_time	"past_week"
Distance	exact, 5_miles, 10_miles, 25_miles, 50_miles, 100_miles	"25_miles"

📋 Full Configuration Example

{
  "graph_type": "LinkedInJobScraper",
  "job_keyword": "Data Scientist",
  "job_location": "New York",
  "max_jobs": 500,
  "scrape_job_details": true,
  "experience_levels": ["mid_senior", "director"],
  "work_types": ["remote", "hybrid"],
  "date_posted": "past_week",
  "distance": "exact"
}

📦 What You Get Back

Each job includes rich, structured data:

{
  "job_id": "4144967742",
  "job_title": "Senior Software Engineer",
  "company": "Stripe",
  "location": "San Francisco, CA",
  "job_link": "https://www.linkedin.com/jobs/view/4144967742",
  "posting_date": "2026-01-08",
  "salary": "$180,000 - $250,000",
  "description": "Full job description with requirements...",
  "seniority_level": "Mid-Senior level",
  "employment_type": "Full-time",
  "job_function": "Engineering and Information Technology",
  "industries": "Financial Services",
  "applicants_count": "Over 200 applicants",
  "company_link": "https://www.linkedin.com/company/stripe"
}

💰 Pricing

→ See Complete Pricing Guide for all tiers

Scrape Type	No Discount	Gold
Basic	0.0029/job	0.0012/job
Full Details	0.00399/job	0.00165/job

💡 Pro Tips for LinkedIn Scraping

1. Start Small, Scale Up - Test with 50 jobs first, then increase to 500+
2. Use Filters - Narrow results for better quality data
3. Enable Proxy - Use Apify Proxy for reliability on large scrapes
4. Fresh Listings - Use date_posted: "past_24_hours" for new jobs only
5. Specific Locations - "San Francisco, CA" works better than "California"

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🧠 AI-POWERED WEB EXTRACTION

4 Extraction Modes

Beyond LinkedIn and recruiting, OmniExtract AI offers powerful AI extraction:

Mode	Purpose	Best For
SmartScraperGraph	Extract data from any URL	Product pages, articles, directories
SearchGraph	Search web & extract	Research, competitor analysis
SpeechGraph	Convert pages to audio	Podcasts, accessibility
ScriptCreatorGraph	Generate scraping code	Automation, learning

---

1️⃣ SmartScraperGraph - Extract Anything with AI

Just describe what you want in plain English:

{
  "graph_type": "SmartScraperGraph",
  "source": "https://www.amazon.com/dp/B0CHX3QBCH",
  "prompt": "Extract product name, price, rating, and number of reviews",
  "llm_provider": "openai",
  "llm_api_key": "sk-your-api-key"
}

Output:

{
  "product_name": "Apple iPhone 15 Pro Max",
  "price": "$1,199.00",
  "rating": "4.7 out of 5 stars",
  "reviews": "12,847 ratings"
}

💰 Pricing

0.05 USD per extraction → See Complete Pricing Guide for all tiers

---

2️⃣ SearchGraph - Research Without URLs

Don't have a URL? Just ask a question:

{
  "graph_type": "SearchGraph",
  "prompt": "Top 10 AI startups funding 2026 with amounts",
  "llm_provider": "openai",
  "llm_api_key": "sk-your-api-key",
  "max_results": 5
}

The AI searches the web, finds relevant pages, and extracts the data you need.

💰 Pricing

0.05 USD per search → See Complete Pricing Guide for all tiers

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3️⃣ SpeechGraph - Turn Web Pages into Audio

Perfect for creating audio summaries:

{
  "graph_type": "SpeechGraph",
  "source": "https://techcrunch.com/latest",
  "prompt": "Summarize the top 5 tech news stories",
  "llm_provider": "openai",
  "llm_api_key": "sk-your-api-key"
}

Output includes:

• Text summary
• MP3 audio file URL (publicly accessible)
• Generated using OpenAI TTS

💰 Pricing

0.05 USD per conversion → See Complete Pricing Guide for all tiers

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4️⃣ ScriptCreatorGraph - Generate Scraping Code

Learn how to scrape any site:

{
  "graph_type": "ScriptCreatorGraph",
  "source": "https://news.ycombinator.com",
  "prompt": "Extract all article titles and URLs",
  "llm_provider": "openai",
  "llm_api_key": "sk-your-api-key"
}

Returns ready-to-run Python code using BeautifulSoup.

💰 Pricing

0.05 USD per script → See Complete Pricing Guide for all tiers

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💰 Complete Pricing Guide

Pay-per-event model - You only pay for what you use. No subscriptions required.

Higher volume users automatically unlock discounts: Bronze → Silver → Gold

All prices in USD.

🎫 Base Fees (All Modes)

Event	Description	Price
Actor Start	Charged once per run	0.001
Result	Per item in dataset	0.00001

💼 LinkedIn Job Scraping

Type	No Discount	Bronze	Silver	Gold
Basic	0.0029	0.0025	0.002	0.0012
Full Details	0.00399	0.0025	0.002	0.00165

• Basic: title, company, location, link
• Full Details: + description, salary, requirements

Examples:

• 100 basic jobs: 0.29 (No discount) → 0.12 (Gold)
• 100 full detail jobs: 0.40 (No discount) → 0.17 (Gold)

🤖 AI-Powered Extraction

All AI modes use the ai-extraction event:

Tier	Price
No Discount	0.0499
Bronze	0.045
Silver	0.04
Gold	0.035

Modes using 1 event each:

• Smart Scraper (per URL)
• Search Graph (per search)
• Speech Graph (per audio)
• Script Creator (per script)

Modes using formula ceil(items / 2) events:

• Hiring Manager Finder (~0.025 per contact)
• Reverse Recruiter (~0.025 per company)

📊 Quick Cost Calculator

Mode	Items	Events	No Discount	Gold
Smart Scraper	1 page	1	0.05	0.035
Hiring Manager Finder	10 contacts	5	0.25	0.18
Reverse Recruiter	10 companies	5	0.25	0.18
Reverse Recruiter	20 companies	10	0.50	0.35
LinkedIn Jobs basic	100 jobs	100	0.29	0.12
LinkedIn Jobs full	100 jobs	100	0.40	0.17

🧮 Hiring Manager & Reverse Recruiter Formula

Events charged = ceil(items / 2)

Examples:
• 1-2 items  = 1 event  = 0.05 (Gold: 0.035)
• 3-4 items  = 2 events = 0.10 (Gold: 0.07)
• 5-6 items  = 3 events = 0.15 (Gold: 0.105)
• 10 items   = 5 events = 0.25 (Gold: 0.175)
• 20 items   = 10 events = 0.50 (Gold: 0.35)

---

🔧 Configuration Reference

Required Fields by Mode

Field	LinkedIn	HiringManager	ReverseRecruiter	SmartScraper	SearchGraph	SpeechGraph	ScriptCreator
graph_type	✅	✅	✅	✅	✅	✅	✅
source	❌	❌	❌	✅	❌	✅	✅
prompt	❌	❌	❌	✅	✅	✅	✅
job_keyword	✅	❌	❌	❌	❌	❌	❌
target_companies	❌	✅	❌	❌	❌	❌	❌
resume_text	❌	❌	✅	❌	❌	❌	❌
llm_api_key	❌*	✅	✅	✅	✅	✅	✅
serper_api_key	❌	✅	✅	❌	❌	❌	❌

*LinkedIn scraper doesn't require API key unless using AI title expansion

Supported LLM Providers

Provider	Models	API Key Required
OpenAI	gpt-4o, gpt-4o-mini, gpt-4-turbo	✅ Yes
Anthropic	claude-3-5-sonnet, claude-3-opus	✅ Yes
Google	gemini-1.5-pro, gemini-1.5-flash	✅ Yes
DeepSeek	deepseek-chat, deepseek-coder	✅ Yes
Groq	llama-3.1-70b, mixtral-8x7b	✅ Yes

---

🔑 Getting API Keys

Search Provider (Serper Required for Recruiting Tools)

HiringManagerFinder and ReverseRecruiter require a Serper API key for search queries.

Provider	Cost	Speed	API Key Required
Serper.dev	🆓 FREE 2,500/month	1s	✅ Yes

To get your Serper API key:

1. Go to serper.dev
2. Sign up for free (2,500 free searches/month)
3. Copy your API key
4. Add serper_api_key to your request

LLM API Keys

• OpenAI: platform.openai.com
• Anthropic: console.anthropic.com
• DeepSeek: platform.deepseek.com
• Google Gemini: aistudio.google.com
• Groq: console.groq.com

---

🛡️ Best Practices

For LinkedIn Scraping

• ✅ Use multiple titles to get more jobs
• ✅ If you don't want duplicate jobs, then run it everyday with 24 hours filter.
• ✅ Use specific locations for better accuracy
• ✅ Filter by date for fresh listings

For Reverse Recruiter

• ✅ Paste your FULL resume for best company matching
• ✅ Be specific about target geography
• ✅ Include multiple target role directions
• ✅ Review and personalize outreach before sending

For AI Extraction

• ✅ Be specific in your prompts
• ✅ Request structured output format
• ✅ Use gpt-4o-mini for cost efficiency
• ✅ Enable proxy for blocked sites

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🛠️ Local Development Setup

For local development, install all dependencies and browser binaries:

# 1. Create virtual environment
python3 -m venv venv
source venv/bin/activate

# 2. Install Python dependencies
pip install -r requirements.txt

# 3. Install Playwright browser (for standard scraping)
python -m playwright install chromium --with-deps

# 4. Verify installation
python -c "import playwright; print('✅ Playwright ready!')"

Required API Keys

API Key	Purpose	Get It At
llm_api_key	AI-powered extraction and analysis	OpenAI, Gemini, DeepSeek, etc.
serper_api_key	Search queries (HiringManager/Recruiter)	serper.dev (FREE 2,500/mo)

---

⚠️ Disclaimer

This Actor (automation tool) is provided for legitimate business purposes only, including job searching, sales prospecting, market research, and recruitment. By using this Actor, you agree to:

• Comply with all applicable laws and regulations
• Respect the Terms of Service of websites being accessed
• Use extracted data responsibly and ethically
• Not use this tool for spamming, harassment, or any illegal activities

The developer does not assume responsibility for misuse of this tool. For recruiting features, always personalize outreach and respect recipients' preferences.

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📞 Support & Contact

• Documentation: This README
• Email: mrali.hassan997@gmail.com
• Upwork: Hire me on Upwork
• YouTube: Mr. Data Scientist
• LinkedIn: Ali Hassan Rai

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Made with ❤️ by Ali Hassan