Y Combinator Scraper

Easily extract structured data on thousands of startups from YCombinator.com — including company descriptions, websites, founders, job postings, batch info, team size, LinkedIn, Crunchbase links, and more.

🚀 Whether you're a VC, recruiter, founder, journalist, or researcher — this scraper saves hours of manual work.

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✅ What This Scraper Does

This Apify actor lets you scrape Y Combinator startup profiles in bulk using their public company directory. With just a few clicks, you'll get:

• ✅ Company name, website, and YC page link
• ✅ Short and long descriptions
• ✅ Batch (e.g. Summer 2024), stage, status
• ✅ Team size, location, founding year
• ✅ Founders with social media profiles
• ✅ Active job postings (title, location, type, salary)
• ✅ Social links: LinkedIn, X (Twitter), Facebook, Crunchbase
• ✅ Industry tags and advanced filters (like isHiring, region, nonprofit)

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📦 Example Use Cases

• Lead generation: Build targeted B2B lead lists based on industry, team size, and region
• Recruiting: Find hiring startups and their open roles
• Investor research: Track new YC companies, founder bios, and product pitches
• Market intelligence: Analyze trends across batches, industries, or geographies
• News & media: Source verified startup info for journalism or newsletters

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🛠️ Input Options

The scraper is flexible. You can control the data you want via the following inputs:

directUrls (array of URLs)

Paste search result URLs from YCombinator.com, with filters applied.

Example:

[
  "https://www.ycombinator.com/companies?batch=Winter%202025&industry=B2B&isHiring=true"
]

searchQuery (optional, string)

Search for specific keywords in the company name, description, or tags.

sort (optional, string)

Choose how results are sorted:

• default: Y Combinator’s default sort
• launch_date: Newest companies first

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JSON example:

{
  "directUrls": [
    "https://www.ycombinator.com/companies?batch=Winter%202025&batch=Summer%202024&industry=B2B&isHiring=true&query=arv&team_size=%5B%225%22%2C%22500%22%5D"
  ],
  "searchQuery": "ar",
  "sort": "default"
}

---

📤 Output Data Format

Each scraped company will be saved as a JSON object in the Apify dataset. Here's a breakdown of the fields you’ll receive:

Field	Type	Description
id	string	Unique identifier of the company from Y Combinator
logo	string	URL to the company's logo image
name	string	Company name
yc_url	string	Direct link to the company's Y Combinator profile page
website	string	Company’s official website URL
short_description	string	One-liner description from YC
long_description	string	Detailed description of what the company does
batch	string	Y Combinator batch (e.g. "Winter 2025")
status	string	Startup status in the YC ecosystem (e.g. "active", "dead", "acquired")
stage	string	Stage of the company, if available (e.g. "pre-launch", "launched")
tags	array	Array of industry tags assigned by YC
location	string	HQ or main location of the company
year_founded	integer	Year the company was founded
team_size	integer	Reported team size (min/max if available)
linkedin	string	Link to company’s LinkedIn page
x	string	Link to company’s X (Twitter) profile
facebook	string	Link to company’s Facebook page
crunchbase	string	Link to Crunchbase profile
job_postings	array	List of current job openings posted on YC
→ title	string	Job title
→ url	string	Direct link to the job posting
→ location	string	Job location
→ type	string	Employment type (e.g. full-time, intern)
→ salary	string	Salary range (if available)
→ experience	string	Required experience (if listed)
founders	array	List of founders and their public profiles
→ full_name	string	Founder’s full name
→ title	string	Title or role at the company
→ avatar	string	Thumbnail/avatar image of the founder
→ linkedin	string	Founder’s LinkedIn profile
→ x	string	Founder’s Twitter (X) profile

You can download the dataset in JSON, CSV, or XLSX format — or use the Apify API to fetch the data programmatically.

---

Example JSON Output:

[
  {
    "id": 29973,
    "logo": "https://bookface-images.s3.us-west-2.amazonaws.com/logos/4e428f0bdd367f8e923ff5d314b4a4394e11ccd7.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAHGNCKMI3%2F20250716%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20250716T214732Z&X-Amz-Expires=3600&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEE0aCXVzLXdlc3QtMiJGMEQCIDjs%2FQg4zO30Z%2BYa80v4ekkNTPAWdSYtLHkZmV8YlhG0AiB89MskitEQd1Z6AZJ0LYx%2BGRpTDbY%2B63hu02UyMfFukSrlAwhmEAAaDDAwNjIwMTgxMTA3MiIM8AFe%2F52HPppDdE%2BoKsIDquMtiUdKBV9U9j7zhu3XXuenlRfreSsmF6kZPvt%2F7qxiHkskqyqOMLPQ1zAHH5E7YmonqIVMDwHMSXNOQsy4iYU7q%2B%2FhxjhpK39iHA51ZzL08hg4eB%2Fo5viH%2FxtbNBqCbikbOV%2FTWIeKaQcGqaiKFrSyKla6MPwtKSDQkAIhYeo4raPIM7Uw8thv6nXZfv2B4o97kPRoh7L41lHMUnzzthJdlfpXnZ3RUcB75kGM%2Bz9CKcaKrYM33%2F2FmePZdgPrbWM7uia8zGoZJ6My9wUQe%2BW33ar4R78lY2FvRdHjHNlLjhTJQnNe0qBfUBXRYx3BBs6v20j9XZVvIMR4LiFqY9JlmGpf4I4FPnUFF6v4Sowrjqar7Rz35KywqLLwIYsy%2F9pA6SpUNGsmtKhCJIW3%2BuwUyljiuzjDjehnPfjQeLgUMwte60FpC3eVPCMYkczCdLB%2BM7IwIJqsXBKk6QzF99hp9Oge3hQlyx43CVmthA2TgAtme1cnKbVrHy5tsM8QDNFIJB1%2BcVT7rjBxFu8EAVR5y2cEza0%2FbEavD1ccrqPySVTgpfjEASeAF1QTdVcaRmB%2F5dLMUxAkceEUxlVaxHNjMLeW4MMGOqYByse2D31Es9Uff1lmcvouVTicar2hp9fzsZecqKh46D%2FF3KA2FVj8HCx6gYPpx93RUukCJiG2gOmIcMysXAaATJ%2FInCvqGYFpAFycCekMDvbLsC3O%2FpTLNKsbatGD%2FSrRs7wqIC4pFC5llKnNItpgV4kCKElrFocxBWZ07o%2B5ZWAXYr247Kvfy%2BIQq9plaID%2Fn2D14TeFMDTM6HIkAeONzC9liPZpOQ%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=d007f9865e5e9c7f404243aeffa7c9bf0c8b9f5fd919fc8b6929ef4e4b3fe7e9",
    "name": "Arva AI",
    "yc_url": "https://www.ycombinator.com/companies/arva-ai",
    "website": "https://www.arva.ai",
    "short_description": "AI Agents to scale AML, KYB and KYC operations",
    "long_description": "Banks and fintechs have large teams of human analysts who conduct manual checks and reviews. We replace those human compliance analysts with AI agents that automate 80% of the manual work for faster and more compliant financial crime (AML) reviews.\r\n\r\nOur first three products are: Screening AI (discount 91% of screening alerts), KYB/C AI (speed up onboarding), Transaction Monitoring AI (handle AML transaction monitoring alerts)\r\n\r\nOur end goal is to have a whole suite of AI workers that can handle manual compliance work for banks and fintechs. A $24B opportunity in the US alone.",
    "batch": "Summer 2024",
    "status": "Active",
    "stage": "Early",
    "tags": [
      "Artificial Intelligence",
      "Fintech",
      "B2B",
      "Compliance",
      "Regtech"
    ],
    "location": null,
    "year_founded": 2024,
    "team_size": 8,
    "linkedin": "https://www.linkedin.com/company/arva-ai/",
    "x": "https://x.com/arva_ai",
    "facebook": null,
    "crunchbase": "https://www.crunchbase.com/organization/arva-ai",
    "job_postings": [
      {
        "title": "AI Research Engineer",
        "url": "http://ycombinator.com/companies/arva-ai/jobs/f6APYpN-ai-research-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "salary": "£80K - £120K GBP",
        "experience": "3+ years"
      },
      {
        "title": "GTM Lead",
        "url": "http://ycombinator.com/companies/arva-ai/jobs/dT2oqNZ-gtm-lead",
        "location": "London, England, GB",
        "type": "Full-time",
        "salary": "£75K - £95K GBP",
        "experience": "3+ years"
      }
    ],
    "founders": [
      {
        "avatar": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/560201fdbc53ae709c42ebe943c4888d076e5e7a.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAHGNCKMI3%2F20250716%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20250716T214732Z&X-Amz-Expires=3600&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEE0aCXVzLXdlc3QtMiJGMEQCIDjs%2FQg4zO30Z%2BYa80v4ekkNTPAWdSYtLHkZmV8YlhG0AiB89MskitEQd1Z6AZJ0LYx%2BGRpTDbY%2B63hu02UyMfFukSrlAwhmEAAaDDAwNjIwMTgxMTA3MiIM8AFe%2F52HPppDdE%2BoKsIDquMtiUdKBV9U9j7zhu3XXuenlRfreSsmF6kZPvt%2F7qxiHkskqyqOMLPQ1zAHH5E7YmonqIVMDwHMSXNOQsy4iYU7q%2B%2FhxjhpK39iHA51ZzL08hg4eB%2Fo5viH%2FxtbNBqCbikbOV%2FTWIeKaQcGqaiKFrSyKla6MPwtKSDQkAIhYeo4raPIM7Uw8thv6nXZfv2B4o97kPRoh7L41lHMUnzzthJdlfpXnZ3RUcB75kGM%2Bz9CKcaKrYM33%2F2FmePZdgPrbWM7uia8zGoZJ6My9wUQe%2BW33ar4R78lY2FvRdHjHNlLjhTJQnNe0qBfUBXRYx3BBs6v20j9XZVvIMR4LiFqY9JlmGpf4I4FPnUFF6v4Sowrjqar7Rz35KywqLLwIYsy%2F9pA6SpUNGsmtKhCJIW3%2BuwUyljiuzjDjehnPfjQeLgUMwte60FpC3eVPCMYkczCdLB%2BM7IwIJqsXBKk6QzF99hp9Oge3hQlyx43CVmthA2TgAtme1cnKbVrHy5tsM8QDNFIJB1%2BcVT7rjBxFu8EAVR5y2cEza0%2FbEavD1ccrqPySVTgpfjEASeAF1QTdVcaRmB%2F5dLMUxAkceEUxlVaxHNjMLeW4MMGOqYByse2D31Es9Uff1lmcvouVTicar2hp9fzsZecqKh46D%2FF3KA2FVj8HCx6gYPpx93RUukCJiG2gOmIcMysXAaATJ%2FInCvqGYFpAFycCekMDvbLsC3O%2FpTLNKsbatGD%2FSrRs7wqIC4pFC5llKnNItpgV4kCKElrFocxBWZ07o%2B5ZWAXYr247Kvfy%2BIQq9plaID%2Fn2D14TeFMDTM6HIkAeONzC9liPZpOQ%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=b249eba9cdcf43f1ab2627cbbb53171996338006b2c69fcf2bba16c68154f618",
        "full_name": "Rhim Shah",
        "title": "CEO",
        "linkedin": "https://linkedin.com/in/rhim-shah",
        "x": ""
      },
      {
        "avatar": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/58517dc8081e6d7ecd4040bf285d2d77cd205ed1.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAHGNCKMI3%2F20250716%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20250716T214732Z&X-Amz-Expires=3600&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEE0aCXVzLXdlc3QtMiJGMEQCIDjs%2FQg4zO30Z%2BYa80v4ekkNTPAWdSYtLHkZmV8YlhG0AiB89MskitEQd1Z6AZJ0LYx%2BGRpTDbY%2B63hu02UyMfFukSrlAwhmEAAaDDAwNjIwMTgxMTA3MiIM8AFe%2F52HPppDdE%2BoKsIDquMtiUdKBV9U9j7zhu3XXuenlRfreSsmF6kZPvt%2F7qxiHkskqyqOMLPQ1zAHH5E7YmonqIVMDwHMSXNOQsy4iYU7q%2B%2FhxjhpK39iHA51ZzL08hg4eB%2Fo5viH%2FxtbNBqCbikbOV%2FTWIeKaQcGqaiKFrSyKla6MPwtKSDQkAIhYeo4raPIM7Uw8thv6nXZfv2B4o97kPRoh7L41lHMUnzzthJdlfpXnZ3RUcB75kGM%2Bz9CKcaKrYM33%2F2FmePZdgPrbWM7uia8zGoZJ6My9wUQe%2BW33ar4R78lY2FvRdHjHNlLjhTJQnNe0qBfUBXRYx3BBs6v20j9XZVvIMR4LiFqY9JlmGpf4I4FPnUFF6v4Sowrjqar7Rz35KywqLLwIYsy%2F9pA6SpUNGsmtKhCJIW3%2BuwUyljiuzjDjehnPfjQeLgUMwte60FpC3eVPCMYkczCdLB%2BM7IwIJqsXBKk6QzF99hp9Oge3hQlyx43CVmthA2TgAtme1cnKbVrHy5tsM8QDNFIJB1%2BcVT7rjBxFu8EAVR5y2cEza0%2FbEavD1ccrqPySVTgpfjEASeAF1QTdVcaRmB%2F5dLMUxAkceEUxlVaxHNjMLeW4MMGOqYByse2D31Es9Uff1lmcvouVTicar2hp9fzsZecqKh46D%2FF3KA2FVj8HCx6gYPpx93RUukCJiG2gOmIcMysXAaATJ%2FInCvqGYFpAFycCekMDvbLsC3O%2FpTLNKsbatGD%2FSrRs7wqIC4pFC5llKnNItpgV4kCKElrFocxBWZ07o%2B5ZWAXYr247Kvfy%2BIQq9plaID%2Fn2D14TeFMDTM6HIkAeONzC9liPZpOQ%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=e1fba3c71b330c4637371d1dd5138f5384a2dcda5a3aa0d8eabcbdc430840dcd",
        "full_name": "Oli Wales",
        "title": "Founder/CTO",
        "linkedin": "https://linkedin.com/in/oliverfwales",
        "x": ""
      }
    ]
  }
  ...
]

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⚙️ How It Works

1. Uses Apify's proxy infrastructure to handle Y Combinator traffic cleanly
2. Parses YC search data for batch filtering
3. Crawls each startup’s profile page to extract job postings, founders, and full metadata
4. Outputs structured JSON data you can use in Airtable, Notion, CRMs, or spreadsheets

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⚡ Performance Tips

• For large-scale scraping, filter by region, industry, or batch to reduce load
• Schedule the actor to run weekly or monthly to track new YC startups over time

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🧠 Built With ❤️ by Damilo

I build fast, scalable Apify scrapers for serious use cases — B2B lead gen, research, job mining, content aggregation, and beyond.

If this actor saved you time, please consider leaving a ⭐⭐⭐⭐⭐ review to help others find it!

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Happy scraping!