YC Intelligence Pro

Extract structured data from Y Combinator's company directory. This actor scrapes detailed profiles using either a direct URL from YC's filtered search or a flexible filter builder, outputting over 40 data fields per startup.

Key Features

• Dual Input Modes: Run with a custom YC website URL or configure filters directly in the actor (batch, industry, region, team size, hiring status).
• Comprehensive Data: Captures 40+ fields including company details, founder info with LinkedIn/Twitter links, location, categories, and social links.
• High Performance: Features parallel processing and auto-retry logic, claiming a 95% success rate and fast scraping speeds.
• Granular Filtering: Filter by multiple YC batches (2005-2025), 50+ industries, 100+ regions, team size ranges, and special flags (e.g., "top company", "is hiring").
• Cost-Effective: Priced at $8 per 1,000 companies scraped.

How to Use

You can run the actor in two ways:

Option 1: Custom URL (Quickest)

1. Go to Y Combinator Companies.
2. Apply any filters (batch, industry, etc.) directly on YC's website.
3. Copy the full URL from your browser's address bar.
4. Paste it into the actor's "Custom URL" input field.
5. Set the maximum number of companies to scrape.
6. Start the run.

Example URLs:
* All companies: https://www.ycombinator.com/companies
* Summer 2024 AI startups that are hiring: https://www.ycombinator.com/companies?batch=Summer%202024&industry=B2B&isHiring=true

Option 2: Advanced Filter Builder (Most Flexible)

Leave the "Custom URL" field empty and use the structured input to build your query. You can combine multiple filters.

Example Input Configuration:

{
  "batches": ["Summer 2024", "Winter 2025"],
  "industries": ["Healthcare", "B2B"],
  "regions": ["United States of America", "United Kingdom"],
  "isHiring": true,
  "teamSizeMin": "10",
  "teamSizeMax": "100",
  "maxCompanies": 100
}

Input & Output

Main Input Fields:
* customUrl: (String) A direct URL from YC's filtered company page.
* batches: (Array) List of YC batches to include (e.g., ["W24", "S23"]).
* industries: (Array) List of industries to filter by.
* regions: (Array) List of countries/regions to filter by.
* isHiring: (Boolean) Filter for companies currently hiring.
* teamSizeMin / teamSizeMax: (String) Filter by company size range.
* maxCompanies: (Integer) Limit the total number of companies scraped.

Output Data (Sample):
The actor outputs a dataset where each item is a company with structured fields. Key output groups include:

• Basic Info: id, name, batch, one_liner, website, status.
• Location: city, region, country.
• Team: team_size, num_founders.
• Founders: An array of objects with name, title, linkedin, and twitter for each founder.
• Categories: tags, industries.
• Social Links: twitter_url, linkedin_url, github_url, crunchbase_url.

The dataset is available in JSON, CSV, and other formats via the Apify platform.