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🚀 Y Combinator Companies Scraper

🚀 Pull 5,700+ Y Combinator-funded startups in minutes. Companies, founders, batches, industries, open jobs. No API key, no manual CSV wrangling.

🕒 Last updated: 2026-05-08 · 📊 30+ fields per company · 🎓 W05 to current batch · 💼 Open jobs included · 🚫 No auth required

Pull live company data from the Y Combinator directory, the canonical record of every YC-funded startup since the very first batch. The actor walks the YC catalog with your filter combination, paginates through results, fetches each company detail page, and returns one structured record per company ready for investor research, sales prospecting, lead-gen, or talent sourcing.

Every run fetches data live so you get the current state of the YC directory, not a stale dump. Records include logo URL, batch, batchName, growth stage, year founded, team size, location, founder names with bios, social handles, current job listings with salary and equity ranges, and a back-reference URL to the canonical YC profile.

📋 What the Y Combinator Companies Scraper does

• 🎓 Filter by batch. Pass batch codes like W25, S25, X25, F25 or full names.
• 🏭 Industry filters. B2B, Consumer, Healthcare, Fintech, Industrials, Real Estate, Education, Government.
• 🔬 Sub-industries. Drill down into Payments, Drug Discovery, Engineering, Product and Design, etc.
• 🌍 Region filters. USA, Europe, Latin America, South Asia, Southeast Asia, Africa, India, UK.
• 📊 Status and stage. Active, Public, Acquired, Inactive plus the YC growth stage.
• 💼 Hiring filter. Return only companies with open job listings.
• ⭐ Top Companies. Filter to YC's curated Top Companies list.

The scraper accepts any combination of these filters, builds the matching YC search URL, and walks the result pages. For each company it fetches the detail page to extract founders, social handles, job listings (with salary and equity ranges), and the full company description.

💡 Why it matters: the YC directory is the canonical record of YC-funded startups but its UI is paginated, JS-rendered, and lacks bulk export. A live, structured pull beats manual sourcing for VC research, BD outreach, and recruiting at scale.

🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Salesforce or Airtable via Apify integrations.

⚙️ Input

Example 1. Hiring fintech startups from W25, USA only.

{
"batches":["W25"],
"industries":["Fintech"],
"regions":["United States of America"],
"isHiring":true,
"maxItems":50
}

Example 2. Direct lookup of two specific YC companies.

{
"startUrls":[
"https://www.ycombinator.com/companies/airbnb",
"https://www.ycombinator.com/companies/stripe"
],
"maxItems":2
}

⚠️ Good to Know: when startUrls is set, every other filter is ignored. Use it for ad-hoc enrichment of known YC companies.

📊 Output

The dataset returns one structured record per YC company. Each record carries identifiers, batch metadata, growth stage, location, team size, founders, social handles, open job listings, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

📦 Sample records

1. Public top company (Airbnb)

{
"logoUrl":"https://bookface-images.s3.amazonaws.com/logos/airbnb.png",
"id":"5234",
"name":"Airbnb",
"slug":"airbnb",
"url":"https://www.ycombinator.com/companies/airbnb",
"website":"https://airbnb.com",
"oneLiner":"Book accommodations around the world",
"batch":"W09",
"batchName":"Winter 2009",
"status":"Public",
"stage":"Public",
"yearFounded":2008,
"teamSize":6132,
"location":"San Francisco, CA, USA",
"industries":["Consumer","Travel"],
"regions":["United States of America"],
"founders":[
{"name":"Brian Chesky","title":"CEO","linkedin":"https://linkedin.com/in/brianchesky"},
{"name":"Joe Gebbia","title":"Co-founder"},
{"name":"Nathan Blecharczyk","title":"Co-founder"}
],
"twitter":"https://twitter.com/airbnb",
"linkedin":"https://linkedin.com/company/airbnb",
"isTopCompany":true,
"isNonprofit":false,
"scrapedAt":"2026-05-08T12:00:00.000Z"
}

2. Hiring early-stage company (W25 batch)

{
"logoUrl":"https://bookface-images.s3.amazonaws.com/logos/acme.png",
"id":"32145",
"name":"Acme AI",
"slug":"acme-ai",
"website":"https://acme-ai.com",
"oneLiner":"AI agents for B2B back-office workflows",
"batch":"W25",
"batchName":"Winter 2025",
"status":"Active",
"stage":"Seed",
"yearFounded":2024,
"teamSize":5,
"location":"San Francisco, CA, USA",
"industries":["B2B"],
"regions":["United States of America"],
"founders":[
{"name":"Jane Smith","title":"CEO"},
{"name":"John Doe","title":"CTO"}
],
"jobs":[
{"title":"Founding Engineer","equity":"0.5-2.0%","salary":"$150K-$200K","location":"SF (in-person)"},
{"title":"Founding Designer","equity":"0.3-1.0%","salary":"$130K-$180K","location":"SF (in-person)"}
],
"scrapedAt":"2026-05-08T12:00:00.000Z"
}

3. Acquired company (sparse fields)

{
"id":"1234",
"name":"Old Startup",
"slug":"old-startup",
"batch":"S15",
"batchName":"Summer 2015",
"status":"Acquired",
"stage":"Acquired",
"yearFounded":2014,
"isTopCompany":false,
"scrapedAt":"2026-05-08T12:00:00.000Z"
}

✨ Why choose this Actor

📊 Production-grade structured startup data without the engineering overhead of building and maintaining your own scraper.

📈 How it compares to alternatives

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Y Combinator Companies Scraper page on the Apify Store.
3. 🎯 Set filters. Pick batch, industry, region, and other filters, then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

💼 Business use cases

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🔌 Automating Y Combinator Companies Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

• Node.js - call it via the Apify JS SDK.
• Python - call it via the Apify Python SDK.
• REST - hit it directly through the Apify v2 API.

Schedules. Use Apify Scheduler to run hourly, daily, or weekly snapshots. Combine with the Apify dataset diff tools to track new YC companies between runs.

❓ Frequently Asked Questions

🔌 Integrate with any app

Y Combinator Companies Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend or alert your team in Slack.

🔗 Recommended Actors

• 🏢 Crunchbase Scraper - Startup company data with funding rounds and investors
• 📈 PitchBook Companies Scraper - Private company data with investors and funding
• 💼 Wellfound Jobs Scraper - Startup jobs from Wellfound (formerly AngelList)
• 📋 PitchBook Investors Scraper - Investor profiles with portfolios
• 🏢 Dun & Bradstreet Company Scraper - 500M+ business directory with DUNS

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

🆘 Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.

⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Y Combinator or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and lead-generation use. Users are responsible for compliance with the source site's Terms of Service and applicable law.