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
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
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2
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1
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5 days ago
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🏛️ 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.
🥊 Why This Actor Beats the Competition
| Feature | Tillzero Actor | Standard 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
- Navigate to the Actor page in the Apify Store.
- Configure your search parameters in the intuitive Web UI.
- Click Start to run the scraper and export results to CSV, Excel, or JSON.
Method 2: Python SDK
from apify_client import ApifyClientclient = 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().itemsprint(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
| Field | Type | Description | Default |
|---|---|---|---|
batch | String | Filter by YC batch cohort (e.g. W25, S24, W24, or 'all'). | W25 |
industry | String | Filter by industry (e.g. B2B, Artificial Intelligence, Fintech, Healthcare). | `` |
hiringOnly | Boolean | Only return companies that currently have active open jobs. | False |
maxResults | Integer | Maximum 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
- Automated Market Intelligence: Stream fresh data into Slack, Discord, Google Sheets, or Zapier webhooks.
- Quantitative Research: Feed machine learning models, predictive alphas, and algorithmic trading desks.
- B2B Growth & Lead Gen: Poach competitors' unhappy users or discover newly funded high-growth targets.