Y Combinator Companies Scraper — Batches, Founders, Socials

Every company in the Y Combinator directory — about 6,000 startups from 2005 to the current batch — filtered by batch, status, industry, tag, region or city, team size and keywords, with website, one-liner, description, team size, locations and badges. Turn on Fetch founders and socials to add the founders (name, title, LinkedIn, X), year founded, the company's LinkedIn/X/GitHub/Crunchbase links and open jobs. JSON, CSV, Excel or API.

Directory data comes from YC's public companies API; founder and social details from the public company pages. No login.

Why this Actor

• The whole directory (~6,000 companies) read on every run, so filters see everything
• Batch, status, industry, tag, region, team-size and keyword filters combined
• Founders with LinkedIn and X, company socials, year founded and open jobs on request
• Newest batch first; YC's public API plus public company pages
• Checked every day by an automated run

Sample output

One item of the dataset (long values shortened):

{
  "name": "Agent 37",
  "batch": "F26",
  "status": "Active",
  "website": "https://www.agent37.com/cloud",
  "oneLiner": "Persistent sandboxes for agents like hermes, openclaw, claude code",
  "industries": [
    "B2B",
    "Infrastructure"
  ],
  "tags": [
    "Developer Tools",
    "SaaS",
    "B2B",
    "…"
  ],
  "teamSize": 0,
  "locations": [
    "New York City"
  ],
  "founders": [
    {
      "name": "VISHNU KRISHNAPRASAD",
      "title": "Founder/CEO",
      "bio": "Founder at Agent 37. Previously Senior Software Engineer at Amazon and Engineering Manager at Quantcast. Founded Real Voxel and Dota2Conn…",
      "linkedin": "https://www.linkedin.com/in/vishnukrishnaprasad/",
      "twitter": "https://x.com/an_engineer_log"
    }
  ],
  "linkedin": "https://www.linkedin.com/company/agent37",
  "url": "https://www.ycombinator.com/companies/agent-37"
}

What you get

Field	Description
id, name, slug, url, website, logo	Identity
oneLiner, description	Pitch
batch, status, industries, tags, teamSize, locations, regions, badges, isHiring	Classification
founders[], yearFounded, linkedin, twitter, github, crunchbase, facebook, jobs[]	With details

Companies come newest batch first. A summary (directory size, matched, saved, details fetched) is saved as SUMMARY.

Input

• Batches (F26, S26, W26…), Statuses, Industries, Tags, Regions or cities, Keywords, Min/Max team size — all optional, combined with AND; lists match any value.
• Max companies, Fetch founders and socials.

Limits and notes

• The directory is read in full on every run (about a minute) so filters apply to all companies; details add roughly one second per company.
• Team size and status are what YC publishes; some older companies have no team size.
• Public data only; the Actor stores nothing beyond the dataset of your run.

Input example

{
  "batches": [
    "F26",
    "S26"
  ],
  "maxCompanies": 100,
  "fetchDetails": true
}

How much does it cost?

Pay per company — no subscription, no minimum, no charge for platform usage.

Volume	Price
1,000 companies	$2.00 (+ $2.00 with details)
10,000 companies	$20.00 (+ $20.00 with details)
100,000 companies	$200.00 (+ $200.00 with details)

The Apify free plan includes $5 of usage every month — about 2,500 companies with this Actor, no card needed. Nothing else is charged: platform usage is included in the price, and Apify Bronze, Silver and Gold subscribers get 10%, 20% and 30% off these prices.

Use it from code, n8n, Make, Zapier or an AI agent

Run the Actor and download the dataset in one call (JSON by default; add &format=csv or xlsx):

curl -X POST "https://api.apify.com/v2/acts/chorelet~yc-companies-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"batches": ["F26", "S26"], "maxCompanies": 100, "fetchDetails": true}'

Python:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("chorelet/yc-companies-scraper").call(run_input={"batches": ["F26", "S26"], "maxCompanies": 100, "fetchDetails": true})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

• n8n, Make, Zapier — use the Apify node/module: run the Actor, then "get dataset items".
• Google Sheets, Slack, webhooks — add an integration on the run's Integrations tab.
• AI agents — the Actor is available as a tool through the Apify MCP server; the dataset schema describes every field for the model.
• Schedules — run it hourly, daily or weekly from the Schedules tab.

FAQ

How do I get founders and LinkedIn profiles?

Turn on fetchDetails — each company's YC page is read for founders (name, title, LinkedIn, X), year founded, company socials and open jobs.

Which batch codes are valid?

W26, S26, F26, X25 and older: W = winter, S = summer, F = fall, X = spring.

Can I filter by industry or location?

Yes — industries, tags, regions (regions or cities), statuses, team size and free-text keywords, all combined.

Is the data complete?

It is what YC publishes: status, batch, team size, locations and descriptions come straight from YC's directory API.

What does a run cost?

$2 per 1,000 companies, plus $2 per 1,000 companies when founder details are fetched. The free plan's $5 a month covers the whole directory without details.

Support

Questions, missing fields or a source that changed? Open an issue on the Issues tab or write to support@chorelet.app — problems are usually fixed within a day, and the Actor is checked every morning by an automated test run. If the Actor saved you time, a short review on its Store page helps other people find it.