Y Combinator Startups Founder Profiles & Hiring Scraper avatar

Y Combinator Startups Founder Profiles & Hiring Scraper

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from $2.45 / 1,000 item scrapeds

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Y Combinator Startups Founder Profiles & Hiring Scraper

Y Combinator Startups Founder Profiles & Hiring Scraper

Scrape Y Combinator funded startups, batch cohorts, founder social profiles, company tags, team sizes, and open job roles.

Pricing

from $2.45 / 1,000 item scrapeds

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0.0

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Developer

LiteZero

LiteZero

Maintained by Community

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0

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1

Monthly active users

5 days ago

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🏛️ Y Combinator Startups Founder Profiles & Hiring Scraper

Apify

Scrape Y Combinator funded startups, batch cohorts, founder social profiles, company tags, team sizes, and open job roles.


🥊 Why This Actor Beats the Competition

FeatureTillzero ActorStandard Web Scrapers / Legacy Bots
Speed & Throughput⚡ Direct API & high-throughput streams (sub-5s runs)🐢 Heavy browser Puppeteer overhead (45s+ per query)
Pricing Transparency💰 Pay-Per-Result ($3.50 / 1k items)💸 Expensive $49–$99/month subscriptions or compute lock-in
Data Quality & Schemas🛡️ Strictly typed, validated ISO 8601 JSON❌ Raw messy HTML dumps with missing columns
Bot Protection & Proxies🌐 Built-in smart rotation and residential resilience🚫 Frequent Cloudflare/Akamai 403 blocking

🛠️ Step-by-Step: How to Use

Method 1: Apify Web Console

  1. Navigate to the Actor page in the Apify Store.
  2. Configure your search parameters in the intuitive Web UI.
  3. Click Start to run the scraper and export results to CSV, Excel, or JSON.

Method 2: Python SDK

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("litezero/yc-startup-directory-scraper").call(run_input={"batch": "W25", "maxResults": 5})
dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Extracted {len(dataset_items)} items!")

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/yc-startup-directory-scraper').call({"batch": "W25", "maxResults": 5});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} items!`);

Method 4: REST API / cURL

curl -X POST "https://api.apify.com/v2/acts/litezero~yc-startup-directory-scraper/runs?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"batch": "W25", "maxResults": 5}'

📥 Input Parameters

FieldTypeDescriptionDefault
batchStringFilter by YC batch cohort (e.g. W25, S24, W24, or 'all').W25
industryStringFilter by industry (e.g. B2B, Artificial Intelligence, Fintech, Healthcare).``
hiringOnlyBooleanOnly return companies that currently have active open jobs.False
maxResultsIntegerMaximum startups to return.100

📤 Output Data Dictionary & Sample JSON

{
"companyName": "NexusAI",
"batch": "W25",
"tagline": "Autonomous compliance agent for EU healthcare regulations",
"description": "AI agent platform automating clinical and healthcare regulatory filing checks.",
"website": "https://nexusai.health",
"teamSize": 5,
"isHiring": true,
"industries": [
"Artificial Intelligence",
"Healthcare",
"B2B"
],
"founders": [
{
"name": "Sarah Chen",
"role": "CEO",
"linkedinUrl": "https://linkedin.com/in/sarahchen-ai",
"bio": "Former DeepMind research scientist and Stanford CS alum."
}
],
"ycUrl": "https://www.ycombinator.com/companies/nexusai"
}

💡 Top Commercial Use Cases

  1. Automated Market Intelligence: Stream fresh data into Slack, Discord, Google Sheets, or Zapier webhooks.
  2. Quantitative Research: Feed machine learning models, predictive alphas, and algorithmic trading desks.
  3. B2B Growth & Lead Gen: Poach competitors' unhappy users or discover newly funded high-growth targets.