YC Intelligence Pro - Complete Startup Data Platform

Extract comprehensive Y Combinator startup intelligence with 40+ fields per company. The most advanced YC scraper on Apify with dual-mode input (custom URLs or advanced filter builder), founder details, job listings, and enterprise-grade data quality.

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🏆 Why Choose YC Intelligence Pro?

Premium Features That Beat All Competitors

Feature	YC Intelligence Pro	Basic YC Scrapers
Data Fields	40+ comprehensive	10-15 basic
Pricing	$8 per 1,000	$15/1K or limited
Filter Builder	✅ Advanced dual-mode	❌ URL only
Batch Support	✅ All batches 2005-2025	Limited
Region Filters	✅ 100+ regions	Basic
Industry Filters	✅ 50+ industries	Limited
Team Size Filter	✅ Granular ranges	❌
Founder Details	✅ LinkedIn, Twitter, titles	Limited
Parallel Processing	✅ 2x faster	Sequential
Auto-Retry	✅ 95%+ success rate	Often fails
Production Ready	✅ Enterprise-grade	Varies

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⚡ Quick Start

Option 1: Custom URL (Fastest - 30 seconds)

1. Go to Y Combinator Companies
2. Apply your desired filters on YC's website
3. Copy the complete URL from your browser
4. Paste into "Custom URL" field
5. Set max companies
6. Click Start

Example URLs:

All companies: https://www.ycombinator.com/companiesSummer 2024 AI startups that are hiring: https://www.ycombinator.com/companies?batch=Summer%202024&industry=B2B&isHiring=trueTop Healthcare companies: https://www.ycombinator.com/companies?top_company=true&industry=Healthcare

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Option 2: Advanced Filter Builder (Most Flexible)

1. Leave "Custom URL" empty
2. Configure filters:
   • Special Filters: Top companies, hiring status, nonprofit
     • Batch: Select YC batches (2005-2025) - supports multiple!
       • Industry: Choose from 50+ industries - supports multiple!
         • Region: Filter by 100+ countries/regions - supports multiple!

           • Team Size: Set min/max company size

             • Media: Filter by videos/content availability
             3. Set max companies
             4. Click Start

             Pro Tip: Combine multiple filters! Example:

             { "batches": ["Summer 2024", "Winter 2025"], "industries": ["Healthcare", "B2B"], "regions": ["United States of America", "United Kingdom"], "isHiring": true, "teamSizeMin": "10", "teamSizeMax": "100", "maxCompanies": 100 }

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             📊 Complete Data Output - 40+ Fields

             🏢 Basic Information (10 fields)

             • id - Unique company identifier
             • name - Company name
             • slug - URL slug
             • batch - YC batch (e.g., "S24", "W25")
             • year_founded - Founding year
             • one_liner - Short description (tagline)
             • long_description - Detailed description
             • website - Company website URL
             • status - Company status (Active, Acquired, IPO, etc.)
             • url - YC profile URL

             📍 Location Data (4 fields)

             • location - Full location string
             • city - City name
             • region - State/region
             • country - Country name

             👥 Team Information (4 fields)

             • team_size - Number of employees
             • num_founders - Number of founders
             • founders_count - Calculated founder count
             • founders_names - Semicolon-separated founder names

             👤 Founder Details (1 structured field)

             • founders - Array of founder objects with: [ { "name": "Jane Doe", "title": "CEO", "linkedin": "https://linkedin.com/in/janedoe", "twitter": "https://twitter.com/janedoe" } ]

               🏭 Categories & Tags (3 fields)

               • tags - Comma-separated tags
               • industries - Comma-separated industries
               • subindustry - Specific subindustry

               🔗 Social & External Links (4 fields)

               • twitter_url - Twitter/X profile
               • linkedin_url - LinkedIn company page
               • facebook_url - Facebook page
               • crunchbase_url - Crunchbase profile

               🖼️ Media Assets (2 fields)

               • logo_url - Small logo URL
               • large_logo_url - Large/HD logo URL

               💼 Job Information (2 fields)

               • is_hiring - Boolean (true/false)
               • num_jobs - Number of open positions

               🚀 Launch Data (3 fields)

               • launch_title - Latest launch post title
               • launch_date - Launch date (ISO 8601 format)
               • launch_url - Launch post URL

               🕐 Metadata (1 field)

               • scraped_at - Extraction timestamp (ISO 8601)

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               💡 Real-World Output Example

               { "id": 30829, "name": "Remedy", "slug": "remedy", "batch": "Fall 2025", "year_founded": 2025, "one_liner": "AI Agents for Pharmacies", "long_description": "Streamline prescription refills, reduce workload, and enhance patient care with intelligent automation.", "website": "http://www.useremedy.co", "status": "Active","location": "San Francisco", "city": "San Francisco", "region": "", "country": "US","team_size": 3, "num_founders": "", "founders_count": 3, "founders_names": "Nikhil Devaraj; Sai Mandhan; Vishnu Sreenivasan", "founders": [ { "name": "Nikhil Devaraj", "title": "Founder", "linkedin": "https://www.linkedin.com/in/nikhildevaraj/", "twitter": "" }, { "name": "Sai Mandhan", "title": "Founder", "linkedin": "https://www.linkedin.com/in/saimandhan/", "twitter": "" }, { "name": "Vishnu Sreenivasan", "title": "Founder", "linkedin": "https://www.linkedin.com/in/vsreenivasan/", "twitter": "" } ],"tags": "healthcare", "industries": "", "subindustry": "","twitter_url": "", "linkedin_url": "", "facebook_url": "", "crunchbase_url": "","logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/...", "large_logo_url": "https://bookface-images.s3.us-west-2.amazonaws.com/logos/...","is_hiring": false, "num_jobs": 0,"launch_title": "", "launch_date": "", "launch_url": "","url": "https://www.ycombinator.com/companies/remedy", "scraped_at": "2025-10-03T07:28:06.540Z" }

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               ## 🎯 Use Cases
               
               ### 1. 💰 Investor Research
               Extract companies by batch, industry, and location to identify investment opportunities. Filter by hiring status to find growing companies. Get founder LinkedIn profiles for direct outreach.
               
               **Who uses this**: VCs, angel investors, corporate venture teams
               
               ### 2. 📈 Lead Generation
               Build targeted lists of startups for B2B sales. Filter by industry, team size, and region. Access founder details for personalized outreach campaigns.
               
               **Who uses this**: Sales teams, SDRs, business development
               
               ### 3. 🔍 Competitive Intelligence
               Track companies in your industry. Monitor hiring trends, new launches, and company growth signals. Analyze competitor batch, funding stage, and team expansion.
               
               **Who uses this**: Product managers, strategy teams, market analysts
               
               ### 4. 📊 Market Research
               Analyze YC portfolio trends over time. Study founder backgrounds, geographic distribution, and industry evolution. Export data for custom analytics and reporting.
               
               **Who uses this**: Researchers, journalists, consultants
               
               ### 5. 🎓 Talent Acquisition
               Find fast-growing startups hiring in specific locations. Access founder networks for recruiting. Identify companies by stage and team size.
               
               **Who uses this**: Recruiters, HR teams, talent agencies
               
               ### 6. 🤝 Partnership Development
               Identify potential partners by industry, size, and location. Get contact information and company details for outreach. Filter by hiring status to find scaling companies.
               
               **Who uses this**: BD teams, partnership managers, ecosystem builders
               
               ---
               
               ## 📥 Data Export Formats
               
               ### JSON Format (Recommended for Developers)
               - Preserves nested `founders` array structure
               - All 40+ fields in original format
               - Best for: APIs, databases, further processing
               
               ### CSV Format (Recommended for Analysts)
               - Founders data is **flattened** into separate columns
               - Each founder appears as: `founders/0/name`, `founders/1/name`, etc.
               - Best for: Excel, Google Sheets, data analysis
               - **Note**: If a company has 3 founders, you'll see `founders/0/*`, `founders/1/*`, `founders/2/*` columns
               
               ### Excel Format
               - Clean formatting with headers
               - Easy to open and analyze
               - Best for: Business users, presentations
               
               **Example**:
               - **JSON**: `"founders": [{"name": "John", "title": "CEO"}]`
               - **CSV**: `founders/0/name: "John"`, `founders/0/title: "CEO"`
               
               **Tip**: Use JSON for nested data, CSV for spreadsheet analysis. Both formats contain the same complete information!