Y Combinator Companies Scraper

Export the Y Combinator startup directory (about 6,300 companies) to JSON, CSV or Excel: company name, website, one-liner, long description, batch, status, industries, regions, team size, hiring flag, tags and the company's own social links. Optionally add every company's open job postings.

Filter by batch, industry, region, team size, hiring status, company status (active / acquired / public / inactive), tags and free-text search. No login, no API key.

What you get

Field	Example
name, slug, url	DoorDash, doordash, https://www.ycombinator.com/companies/doordash
website, logo	company website and logo URL
oneLiner, longDescription	short pitch and full description
batch, status, stage	Summer 2013, Public, Growth
industry, industries, subindustry, tags	Consumer, ["Consumer","Food and Beverage"], ["Marketplace"]
regions, locations, city, country	["United States of America"], San Francisco, CA, USA
teamSize, launchedYear, foundedYear	8600, 2013, 2013
isHiring, topCompany, nonprofit	booleans
linkedinUrl, twitterUrl, facebookUrl, crunchbaseUrl, githubUrl	the company's own pages
jobsCount, jobs[]	with the jobs add-on: title, location, type, role, salary range, equity range, experience, visa, URL

Company data only: founders and other people are never collected.

Input examples

AI companies from the last two batches that are hiring, with their open jobs:

{ "batches": ["Summer 2026", "Winter 2026"], "tags": ["AI"], "hiring": "yes", "includeJobs": true, "maxItems": 200 }

Fintech startups with 10 to 100 people:

{ "industries": ["Fintech"], "teamSizeMin": 10, "teamSizeMax": 100, "maxItems": 500 }

The whole directory, fast (no company pages, so social links are empty):

{ "fetchCompanyPage": false, "maxItems": 20000 }

Output example

{
  "id": "531",
  "name": "DoorDash",
  "url": "https://www.ycombinator.com/companies/doordash",
  "website": "http://doordash.com",
  "oneLiner": "Restaurant delivery.",
  "batch": "Summer 2013",
  "status": "Public",
  "industries": ["Consumer", "Food and Beverage"],
  "teamSize": 8600,
  "isHiring": true,
  "tags": ["Marketplace", "E-commerce"],
  "linkedinUrl": "https://www.linkedin.com/company/doordash/",
  "twitterUrl": "http://twitter.com/doordash",
  "jobsCount": null,
  "jobs": null
}

Pricing (pay per event)

Event	Price
company-result - one company saved	US$1.00 per 1,000
jobs-addon - one company enriched with its open jobs (only if includeJobs is on)	US$0.50 per 1,000 companies

Plus a tiny run-start fee. Set a maximum cost per run in the Apify console and the Actor stops cleanly at that limit.

FAQ

How fresh is the data? It is read live from the directory on every run.

Can I get more than 1,000 companies in one run? Yes. Large result sets are split by batch automatically and de-duplicated.

Does it include founders or their contact details? No. Only company-level data.

Why are some social links empty? Not every company lists them, or fetchCompanyPage is off.

A filter returns 0 companies. Names must match the directory: batches like Winter 2025, industries like B2B or Fintech, regions like Europe. The run log says how many companies matched.

Use cases

Lead lists of funded startups by niche, market maps, investor and recruiter sourcing (hiring flag plus open jobs), tracking new batches, competitor monitoring.

En espanol

Exporta el directorio de startups de Y Combinator (unas 6.300 empresas): nombre, web, descripcion, batch, estado, industrias, regiones, tamano del equipo, si estan contratando, etiquetas y redes sociales de la empresa. Opcionalmente suma las ofertas de empleo abiertas. Filtros por batch, industria, region, tamano, estado y texto. Solo datos de empresas, nunca de personas. Desde US$1 por 1.000 empresas.