Y Combinator Scraper

What does Y Combinator Scraper do?

Y Combinator Scraper allows you to extract data about companies and founders from the Y Combinator directory: company name, description, batch, status, location, open jobs, website, founder name, founder LinkedIn, and more.

About Y Combinator

Y Combinator is the leading startup accelerator for entrepreneurs. Since 2005, YC has invested in over 4,500 companies that have a combined valuation of over $600B, including Airbnb, Dropbox, Stripe, Reddit, Instacart, DoorDash, Apollo, and Coinbase. Today, YC has built the most powerful startup community in the world alongside the products and programs to support founders for the life of their company.

Company data fields

Field Name	Type	Description
Company Image	String (URL)	Company image URL
Company ID	Int	Company id provided by YC
Company Name	String	Company name
Url	String (URL)	Company profile URL on Y Combinator
Short Description	String	One-line description of the company
Long Description	String	Long description of the company
Batch	String	Batch name provided by YC
Status	String	Company status
Tags	List	Industry tags
Company Location	String	Company location
Year Founded	Int	Year the company was founded
Team Size	Int	Number of employees
Primary Partner	String	Mentor for a company
Website	String (URL)	Company website
Company LinkedIn	String (URL)	Company LinkedIn profile URL
Company X	String (URL)	Company X (Twitter) profile URL
Is Hiring	Boolean	Hiring status (true/false)
Number of Open Jobs	Int	Count of open job positions

Open Jobs data fields

Field Name	Type	Description
ID	Int	Job posting id provided by YC
Title	String	Job position title
Description URL	String (URL)	Detailed job posting URL
Description	String	Job requirements and details
Location	String	Require job location
Salary	String	Salary range/compensation
Years Experience	String	Required experience level

Founders data fields

Field Name	Type	Description
ID	Int	Founder id provided by YC
Name	String	Founder name
LinkedIn	String (URL)	Founder LinkedIn URL
X	String (URL)	Founder X (Twitter) URL

Why scrape Y Combinator?

• Lead generation: identifying startups for potential collaboration or investment.
• Market research: analyzing trends and popular niches in the startup ecosystem.
• Studying the startup landscape: understanding successful approaches and business models.
• Finding inspiration: exploring ideas and innovations that could influence your own project.

Example Input

Companies search URL: https://www.ycombinator.com/companies?batch=X25

And here's the same, just in JSON.

{
  "scrape_all_companies": false,
  "scrape_founders": true,
  "scrape_open_jobs": true,
  "url": "https://www.ycombinator.com/companies?batch=X25"
}

Output sample

The results will be wrapped into a dataset which you can find in the Storage tab. Note that the output is organized in a table for viewing convenience. Here's an example of some of the output from the previous companies search URL:

By clicking on the green Export button, you can download the dataset in XML, CSV, Excel, HTML, or JSON. See an example of a JSON file:

{
    "company_image": "https://bookface-images.s3.amazonaws.com/small_logos/fae29a98d132c4b435b336dbb5d6cf4a1aaf5de7.png",
    "company_id": 30545,
    "company_name": "StarSling",
    "url": "https://www.ycombinator.com/companies/starsling",
    "short_description": "Cursor for DevOps",
    "long_description": "StarSling is building an agentic developer homepage that automates all the tasks that eat up a developer’s time after they’ve left their code editor: deployments, performance, incidents, and bugs. Open your homepage, click on a GitHub, Linear, or Sentry issue and you’ll see an Autofix button that triggers an AI agent and opens up a Pull Request with a fix, all without leaving your homepage.",
    "batch": "Spring 2025",
    "status": "ACTIVE",
    "tags": [
      "ARTIFICIAL-INTELLIGENCE",
      "DEVELOPER-TOOLS",
      "B2B",
      "DEVOPS",
      "AI",
      "SAN FRANCISCO"
    ],
    "company_location": "San Francisco",
    "year_founded": "2025",
    "team_size": "2",
    "primary_partner": "Tom Blomfield",
    "website": "https://www.starsling.dev/",
    "company_linkedin": "https://www.linkedin.com/company/starslingdev",
    "company_x": "https://x.com/starslingdev",
    "founders": [
      {
        "id": 7866,
        "name": "Yonas Beshawred",
        "linkedin": "https://www.linkedin.com/in/yonas-beshawred/",
        "x": "https://x.com/yonasbe"
      },
      {
        "id": 751609,
        "name": "Daniel Worku",
        "linkedin": "https://www.linkedin.com/in/worku",
        "x": "https://x.com/dbworku"
      }
    ],
    "is_hiring": true,
    "number_of_open_jobs": 1,
    "open_jobs": [
      {
        "id": 77003,
        "title": "Founding Software Engineer (Full-Stack)",
        "description_url": "https://www.ycombinator.com/companies/starsling/jobs/ZvHKf88-founding-software-engineer-full-stack",
        "description": "We’re looking for a Founding Software Engineer (Full-Stack) to join our team in San Francisco, CA. We're focused on solving a big problem: how to make all the annoying tasks outside of your code editor fully agentic; everything from deployment to performance, incidents, and bugs.\nYou'll be working directly with me (\nDaniel\n). Before StarSling, I was the Engineering Manager at Netflix working on the most used internal tool for their 3K+ engineers and tens of thousands of microservices — an internal developer portal called Netflix Console. I’m obsessed with helping every engineer be more productive.\nYou’ll also be working directly with my co-founder\nYonas\n. Before StarSling, Yonas was the Founder & CEO of StackShare, a developer community used by over 1.5 million developers. He raised $12M as a first-timer and did founder sales to get them to just under $1M ARR with their enterprise product before selling the company last year. He’s obsessed with creating product experiences that developers love and building community.\n💻 What You’ll Own\nEvent-driven backend:\nArchitect our Node.js / Next.js / TypeScript and Supabase stack. Design schemas, event flows and ingest dev tools webhooks to power a real-time personalized engineering portal.\nLLM Agentic Workflows:\nBuild a\nsystem of agents\n— MCP, tool use, memory, retry logic, context updates, feedback mechanisms.\nAgent Experience (AX):\nCreate intuitive product interfaces for human-agent interactions. Explore and iterate with engineers to find the right interaction paradigm to productivity work with a digital co-pilot.\nSystem Design & Technical Strategy:\nWork directly with me to determine the best technical path that balances moving fast and scaling to many customers using different dev tools. Determine how we integrate and support the open-source community.\n✅ This IS for you if\nYou’re a full-stack 0-to-1 builder\nwho has shipped to production. Especially in rapidly shipping NextJS apps and working with event-based systems in a serverless architecture.\nYou have a genuine curiosity about agentic product experiences\nand are excited about understanding the impact of AI on engineering users.\nYou’re a previous founder or founding engineer.\nYou have built something from scratch that people use or pay for.\nYou’re unusually obsessed with hard problems.\nYour current skills or even what you've done before is less important than your ability to go all-in and accomplish anything that you set your mind to.\nYou’re comfortable with ambiguity\nand adapting to dynamic priorities. You need to have good judgement to know when to let little fires burn and when to immediately jump in.\nYou have excellent communication and candor.\nYou’ll be communicating directly with engineers and collaborating with us on key decisions.\nYou care about helping swamped engineers\nfight through the\nschlep\nof software development. If that's not an exciting mission for you, it will be hard to stay motivated through the inevitable highs and lows.\nYou have grit and perseverance.\nYou should accustomed to picking between hard options and pushing through it.\n❌ This IS NOT for you if\nYou’re not based in The Bay Area\n(we’ll be a team of three if you join so we’ll be sitting next to each other in SF everyday)\nYou’re not excited about using codegen tools\nlike Cursor, Windsurf, Claude Code, etc.\nYou’re not comfortable deleting\n80%-90% of the code that you write.\nYou’re not comfortable with ambiguity\nand rapid context-switching.\nYou don’t like candor\n- receiving and giving direct, honest feedback.\nYou need a well defined structure\nor career ladder.\nYou view LLMs and AI as a fad.\n🌍 The Opportunity\nWork alongside two experienced co-founders\n- one who built and sold a dev tools startup and one who led the engineering effort to create the same product we’re creating at scale\nGet experience across the startup stack\n- you’ll be doing customer support, bug squashing, user interviews, events, and everything else along with writing code\nBe the first employee of the next dev tools category leader\n- we’re not just building a dev tool, we’re building an engineering platform that every company in Silicon Valley will be using and paying for",
        "location": "San Francisco, CA, US",
        "salary": "$150K - $190K",
        "years_experience": "3+ years"
      }
    ]
  },

How do I use Y Combinator Scraper?

The Y Combinator Scraper is designed to help you easily extract contact details from the web, even if you have no prior experience. Follow these steps to scrape data on Y Combinator companies and their founders:

1. Enter Search URL: Copy and paste the Y Combinator directory search URL directly into the scraper's input field.
2. Run the Scraper: Click "Start" and wait for the data extraction to complete.
3. Export your data in Excel, CSV, JSON, HTML, or via API.

After selecting the necessary filters, the URL address may not update immediately from time to time. Therefore, please double-check it before pasting it into the scraper. Additionally, you can change the "Sort by" option as shown in the screenshot to ensure that the URL address updates promptly based on the filters you have selected.

Features

• Scrape Founders: Enable this option to gather detailed information about all founders from each company.
• Scrape Open Jobs: Set this feature to true if you want to get information about open job positions at the companies.
• Scrape All Companies: Set this feature to true if you want to get information about all companies (over 5000) from all batches.

How much does Y Combinator Scraper scraping cost?

This scraper uses the Pay-per-result pricing model, so your costs can be easily calculated: it will cost you $15 to scrape 1,000 search results, which is $0.015 per item. Apify provides you with $5 in free usage credits every month on the Apify Free plan, allowing you to scrape over 300 search results from the Y Combinator directory for free using those credits.

For regular data extraction, consider upgrading to the $49/month Starter plan, which can get you over 3,000 search results every month.

Integrations and Y Combinator Scraper

Y Combinator Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. You can integrate with Make, n8n, Zapier, Apollo, Clay, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and more.

Your feedback

We're always working on improving the performance of our Actors. If you've got any technical feedback for Y Combinator Scraper or simply found a bug, please create an issue on the actor's Issues tab in Apify Console.