Y Combinator Company Scraper 🧠💼 - Cheap & Fast avatar
Y Combinator Company Scraper 🧠💼 - Cheap & Fast

Pricing

$19.49/month + usage

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Y Combinator Company Scraper 🧠💼 - Cheap & Fast

Y Combinator Company Scraper 🧠💼 - Cheap & Fast

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Storm_Scraper

Storm_Scraper

Maintained by Community

Unlock the power of Y Combinator with automated company data scraping 🧠💼📊 Effortlessly collect detailed information on startups and portfolio companies from the YC platform. Customize your search queries by industry, hiring status, or region for highly targeted insights 🌍No proxy needed ⚡

5.0 (1)

Pricing

$19.49/month + usage

2

Total users

1

Monthly users

1

Runs succeeded

>99%

Last modified

7 hours ago

🚀 Y Combinator Company Scraper 🧠💼

The Y Combinator Company Scraper is a powerful tool designed to extract structured data from the Y Combinator Startup Directory. Whether you're researching startups, investors, or building lead lists, this scraper lets you quickly collect rich company information from the YC platform.

🔍 What It Does

Just provide a Y Combinator company search URL (with filters if desired), and this scraper will retrieve:

✅ All companies listed on the results page, with an optional limit on the number of companies.

✅ Detailed information for each company, including:

  • Field Description:

    🆔 id Unique company ID 🏢 name Company name 📛 slug Unique URL-friendly slug 📝 one_liner Short description 🧾 description Full business description 🌐 website Official website 🏷️ tags Tags/categories 🧑‍🤝‍🧑 team_size Team size 🏢 industry, subindustry, industries Industry information 🌍 location, regions Geographic data 🖼️ logo_url Company logo URL 📅 launched_at Launch year 🌀 batch Y Combinator batch 🟢 status, stage Funding and activity status 🧪 isHiring Actively hiring? 🦄 top_company YC Top Company 🚫 nonprofit Is it a nonprofit? 🔄 former_names Historical names

🛠 How to Use the Y Combinator Scraper

Using this scraper is easy—even if you’re not a developer:

  1. Clone the repository or run the scraper on a supported platform (Apify, etc.).

  2. Provide the base URL from YC’s company directory (with filters if needed).

  3. Optionally set a maxitems limit for number of companies to extract.

  4. Run the scraper and wait for data collection.

  5. Export your results in:

    JSON
    CSV
    Excel
    XML
    HTML

💰 Pricing

This scraper uses a pay-per-month model. You’re only charged for successful results.

  • Price: $19.49 per month.

If you're interested in other social media (Facebook, YouTube, Pinterest & more) or real estate Actors:


💡 Why Use This Scraper?

  • 🧲 Lead Generation – Build targeted startup outreach lists.

  • 📊 Market Research – Discover tech trends and rising industries.

  • 📈 VC/Investor Analysis – Track startup funding and growth.

  • 🧭 Competitive Intelligence – Stay informed about early-stage competitors.

📥 Input Schema

Here is how to structure the input JSON:

{
"url_base": "https://www.ycombinator.com/companies?isHiring=true",
"maxitems": 100
}

Input Fields :

🔗 url_base (string, required) – URL of the YC search results page (can include filters like ?isHiring=true).
🔢 maxitems (integer, optional) – Maximum number of companies to scrape (default: 100).

Output for PropertyFinder Agent Scraper

{
"id": "abc123",
"name": "OpenAI",
"slug": "openai",
"one_liner": "Making AI safe and useful",
"description": "OpenAI is an AI research and deployment company...",
"website": "https://openai.com",
"tags": ["AI", "Machine Learning"],
"team_size": "500+",
"industry": "Artificial Intelligence",
"subindustry": "General AI",
"industries": ["AI", "Research"],
"location": ["San Francisco, CA"],
"regions": ["North America"],
"logo_url": "https://logo.com/openai.png",
"launched_at": "2015",
"batch": "W15",
"status": "active",
"stage": "growth",
"isHiring": true,
"top_company": true,
"nonprofit": false,
"former_names": []
}

📫 Support

😊 Leave us a star ⭐ if you are satisfied with the product! 🌍 For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper 🌪️🌩️