ycombinator-companies

Overview

ycombinator-companies is an Apify actor designed to scrape detailed information about companies listed on Y Combinator's platform. It automates the process of collecting structured data about companies, including their profiles, team sizes, industries, locations, and more.

Features

• Search Companies: Retrieve companies based on a search query (e.g., industry, product, or service).
• Filter by Team Size: Filter companies by the range of their team size.
• Sort Results: Sort companies by default order or by their launch date.
• Detailed Company Profiles: Optionally fetch additional details for each company, such as founders, job postings, and social media links.

Input

The actor accepts the following input parameters:

Parameter	Type	Required	Description
q	string	Yes	Search query to find relevant companies (e.g., industry, product, or service).
size	integer	No	The number of companies to retrieve (default: 10, maximum: 10,000).
teamSize.min	integer	No	Minimum number of employees in the company.
teamSize.max	integer	No	Maximum number of employees in the company (maximum value: 10,000).
sort	string	No	Sorting option for the results (default or launch_date).
loadMoreDetail	boolean	No	Whether to load more details for each company (default: true).

Example Input

{
  "q": "health",
  "size": 50,
  "teamSize": {
    "min": 1,
    "max": 50
  },
  "sort": "launch_date",
  "loadMoreDetail": true
}

Output

The actor outputs a JSON array containing detailed information about the companies. Each company includes the following fields:

• id: Unique identifier of the company.
• name: Name of the company.
• slug: URL-friendly identifier for the company.
• former_names: Previous names of the company.
• small_logo_thumb_url: URL of the company's logo.
• website: Company's website URL.
• locations: Locations where the company operates.
• one_liner: A short description of the company.
• long_description: A detailed description of the company.
• team_size: Number of employees in the company.
• industry: Industry the company operates in.
• subindustry: Sub-industry of the company.
• launched_at: Launch date of the company.
• tags: Tags associated with the company.
• top_company: Whether the company is a top company.
• batch: Y Combinator batch the company belongs to.
• status: Current status of the company.
• industries: List of industries the company is associated with.
• regions: Regions where the company operates.
• company: Additional details about the company, such as year founded, location, social media links, and founders.
• jobPostings: List of job postings by the company.
• newsUrl: URL to the company's news page.

Example Output

{
  "id": 31090,
  "name": "Docura Health",
  "slug": "docura-health",
  "former_names": [],
  "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fcf719c51dea2161bc0d4cdea73a80b7a6c917f9.png",
  "website": "https://docurahealth.com",
  "locations": "San Francisco, CA, USA",
  "one_liner": "AI-Native Medico-Legal Firm",
  "long_description": "Docura Health reduces settlement time in workers’ compensation cases by automating medical record review, chronologies, and report drafting with AI. We transform thousands of pages of records into structured, compliant summaries, helping evaluators, claim adjusters, insurers, and legal teams resolve cases faster.",
  "team_size": 1,
  "industry": "Healthcare",
  "subindustry": "Healthcare",
  "launched_at": 1771815794,
  "tags": ["Health Tech", "Legal", "Insurance"],
  "top_company": false,
  "batch": "Winter 2026",
  "status": "Active",
  "industries": ["Healthcare"],
  "regions": ["United States of America", "America / Canada"],
  "company": {
    "year_founded": 2026,
    "location": "San Francisco",
    "city": "San Francisco",
    "city_tag": "san-francisco-bay-area",
    "country": "US",
    "twitter_url": "https://x.com/DocuraHealth",
    "fb_url": "",
    "cb_url": "",
    "github_url": "",
    "ycdc_url": "https://www.ycombinator.com/companies/docura-health",
    "company_photos": [],
    "primary_group_partner": {
      "id": 184915,
      "full_name": "Diana Hu",
      "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f7251ed6e9c7de72125ed28fc969afb4c7bc34cc.jpg",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 1402321,
        "is_active": true,
        "founder_bio": "Founder @ Docura Health, we're building an AI-native med-legal firm to automate workers comp workflows for doctors",
        "full_name": "Akhil Sachdev",
        "title": "Founder",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0f9f166e41e3ad6470e94b4a97206a226fb9266.jpg",
        "twitter_url": "https://x.com/akhil_sachdev",
        "linkedin_url": "https://www.linkedin.com/in/akhil-sachdev",
        "has_email": true,
        "latest_yc_company": {
          "name": "Docura Health",
          "href": "https://www.ycombinator.com/companies/docura-health"
        }
      }
    ]
  },
  "jobPostings": [],
  "newsUrl": "https://bookface.ycombinator.com/company/31090/company_news"
}

Use Cases

• Startup Research: Discover and analyze startups in specific industries or regions.
• Investor Insights: Identify potential investment opportunities by exploring detailed company profiles.
• Market Analysis: Understand trends and patterns in the startup ecosystem.
• Recruitment: Find companies hiring in specific industries or locations.