Y Combinator Jobs Scraper

Scrape Y Combinator company pages and job listings. Extract company info, founder details, salaries, equity ranges, skills, and interview processes from YC-backed startups.

What does Y Combinator Jobs Scraper do?

Y Combinator Jobs Scraper extracts complete job listing data from YC companies that are actively hiring. Unlike other YC scrapers that only provide basic company info, this actor dives deep into each job posting to extract:

• Salary ranges (min/max with currency)
• Equity percentages (min/max)
• Required skills and experience levels
• Interview process details
• Direct apply URLs
• Full founder profiles with LinkedIn and Twitter

Perfect for recruiters, job boards, market researchers, and anyone tracking the YC startup job market.

Why scrape Y Combinator jobs?

• Recruiting & Talent Sourcing: Find candidates or job opportunities at top YC startups
• Salary Benchmarking: Analyze compensation trends across YC companies by role, location, and stage
• Market Research: Track hiring patterns, in-demand skills, and growth signals in the startup ecosystem
• Lead Generation: Identify fast-growing companies and their decision-makers (founders)
• Investment Research: Monitor hiring activity as a signal of company health and growth

Output Data Fields

Company Data

Field	Type	Description
name	String	Company name
slug	String	URL-friendly identifier
tagline	String	One-line company description
longDescription	String	Full company description
website	String (URL)	Company website
logoUrl	String (URL)	Company logo image
ycUrl	String (URL)	YC profile URL
ycBatch	String	YC batch (e.g., W24, S23)
foundedYear	Integer	Year founded
teamSize	Integer	Number of employees
status	String	Company status (Active, Public, Acquired)
stage	String	Funding stage (Seed, Series A, Growth)
industry	String	Primary industry
industries	List	All industry tags
tags	List	Additional tags
topCompany	Boolean	YC top company flag
allLocations	String	Company locations
regions	List	Geographic regions
socialLinks.linkedin	String (URL)	Company LinkedIn
socialLinks.twitter	String (URL)	Company Twitter/X
socialLinks.facebook	String (URL)	Company Facebook
socialLinks.github	String (URL)	Company GitHub
socialLinks.crunchbase	String (URL)	Crunchbase profile

Founder Data

Field	Type	Description
name	String	Founder name
role	String	Title/role at company
description	String	Founder bio
linkedin	String (URL)	LinkedIn profile
twitter	String (URL)	Twitter/X profile

Job Data

Field	Type	Description
jobId	String	Unique job identifier
title	String	Job title
jobUrl	String (URL)	Job posting URL
location	String	Job location
salary.min	Integer	Minimum salary
salary.max	Integer	Maximum salary
salary.currency	String	Salary currency (USD)
equity.min	Float	Minimum equity %
equity.max	Float	Maximum equity %
jobType	String	Full-time, Part-time, Contract
roleCategory	String	Engineering, Sales, etc.
experience	String	Required experience level
visa	String	Visa sponsorship status
skills	List	Required skills
description	String	Full job description
interviewProcess	String	Interview process details
applyUrl	String (URL)	Direct application URL

Input Parameters

Parameter	Type	Description	Default
maxCompanies	Integer	Maximum number of companies to scrape	All
filterByBatch	List	Filter by YC batch (e.g., ["W24", "S24"])	All batches
filterByIndustry	List	Filter by industry (e.g., ["B2B", "Fintech"])	All industries
filterByStage	List	Filter by funding stage (e.g., ["Seed", "Series A"])	All stages
filterByLocation	List	Filter by location (e.g., ["Remote", "San Francisco"])	All locations
topCompaniesOnly	Boolean	Only scrape YC top companies	false
includeFounderDescriptions	Boolean	Include founder bios	true
rateLimitDelay	Number	Delay between requests (seconds)	1.5

Example Input

{
  "maxCompanies": 50,
  "filterByBatch": ["W24", "S24"],
  "filterByIndustry": ["B2B", "AI"],
  "filterByStage": ["Seed", "Series A"],
  "topCompaniesOnly": false,
  "includeFounderDescriptions": true,
  "rateLimitDelay": 1.5
}

Output Example

Each result contains complete company, founder, and job data:

{
  "company": {
    "id": 271,
    "name": "Airbnb",
    "slug": "airbnb",
    "tagline": "Book accommodations around the world.",
    "longDescription": "Founded in August of 2008...",
    "website": "http://airbnb.com",
    "logoUrl": "https://bookface-images.s3.amazonaws.com/...",
    "ycUrl": "https://www.ycombinator.com/companies/airbnb",
    "ycBatch": "W09",
    "foundedYear": 2008,
    "teamSize": 6132,
    "status": "Public",
    "stage": "Growth",
    "industry": "Consumer",
    "industries": ["Consumer", "Travel, Leisure and Tourism"],
    "tags": ["Marketplace", "Travel"],
    "topCompany": true,
    "allLocations": "San Francisco, CA, USA",
    "regions": ["United States of America", "America / Canada"],
    "socialLinks": {
      "linkedin": "https://www.linkedin.com/company/airbnb/",
      "twitter": "https://twitter.com/Airbnb",
      "facebook": "https://www.facebook.com/airbnb/",
      "crunchbase": "https://www.crunchbase.com/organization/airbnb",
      "github": null
    }
  },
  "founders": [
    {
      "name": "Brian Chesky",
      "role": "Founder/CEO",
      "description": "Brian Chesky is the co-founder and CEO of Airbnb...",
      "linkedin": "https://www.linkedin.com/in/brianchesky/",
      "twitter": "https://twitter.com/bchesky"
    }
  ],
  "jobs": [
    {
      "jobId": "yaLKuLq",
      "title": "Senior Software Engineer",
      "jobUrl": "https://ycombinator.com/companies/airbnb/jobs/yaLKuLq",
      "location": "San Francisco / Remote",
      "salary": {
        "min": 180000,
        "max": 280000,
        "currency": "USD"
      },
      "equity": {
        "min": 0.01,
        "max": 0.05
      },
      "jobType": "Full-time",
      "roleCategory": "Engineering, Backend",
      "experience": "5+ years",
      "visa": "Will sponsor",
      "skills": ["Python", "Distributed Systems", "AWS"],
      "description": "Join our platform team to build scalable infrastructure...",
      "interviewProcess": "Technical phone screen, system design, onsite with team",
      "applyUrl": "https://account.ycombinator.com/authenticate?continue=..."
    }
  ],
  "scrapedAt": "2026-01-24T12:00:00Z"
}

How to Use

1. Set your filters - Use the input parameters to target specific batches, industries, stages, or locations
2. Run the scraper - Click "Start" and wait for the extraction to complete
3. Export your data - Download results in JSON, CSV, Excel, or connect via API

Integrations

Connect Y Combinator Jobs Scraper with your favorite tools:

• Google Sheets - Automatically sync job data to spreadsheets
• Airtable / Notion - Build your own job tracking database
• Zapier / Make / n8n - Trigger workflows when new jobs are found
• Slack - Get notifications for new job postings
• Your own API - Use webhooks for real-time data delivery

Technical Details

Data Sources

1. YC Hiring API - Primary source for company metadata
2. Company Pages (/companies/{slug}) - Social links, founders, founded year
3. Job Pages (/companies/{slug}/jobs/{job-id}) - Complete job details

Features

• Smart founder data merging from multiple sources
• Automatic retries with exponential backoff
• Rate limiting to avoid blocks
• Pydantic data validation
• Handles missing optional fields gracefully

Feedback

Found a bug or have a feature request? Please create an issue on the Actor's Issues tab in Apify Console. We're always working to improve this scraper!