Y Combinator Startup Directory Scraper
Pricing
from $5.00 / 1,000 results
Y Combinator Startup Directory Scraper
Extract recently funded startup data directly from the Y Combinator public directory. Lightning-fast extraction for daily automated B2B lead enrichment.
Pricing
from $5.00 / 1,000 results
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0.0
(0)
Developer
Devyanshu Negi
Actor stats
1
Bookmarked
2
Total users
1
Monthly active users
a day ago
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π Y Combinator Startup Directory Scraper
Extract rich dataset on recently funded YC startups with zero browser overhead.
How to scrape Y Combinator companies?
This Apify actor provides an API-first approach to scraping the Y Combinator startup directory. Instead of rendering heavy headless browsers (like Puppeteer or Playwright), this tool performs lightning-fast HTTP queries directly against YC's internal infrastructure. This architecture ensures unmatched speed, lower compute costs, and a highly reliable data pipeline.
B2B Startup Lead Generation
Are you looking for high-quality B2B sales leads or founder contacts?
VC funded startups are some of the fastest-growing and best-capitalized new businesses on the planet. Using this scraper as a Crunchbase alternative allows you to continuously enrich your CRM with top-tier startup data. It hits raw JSON endpoints for lightning-fast extraction, making it the perfect tool for daily automated lead enrichment.
Key Features
- Lightning-fast API Extraction: Bypasses DOM rendering for speed.
- Detailed Founder Data: Scrapes founder names and their LinkedIn URLs directly from their individual startup profiles.
- Complete Company Details: Extracts locations, websites, long descriptions, arrays of industries, and more.
- Pay Per Result: Cost-effective extraction, paying only for successful records.
Why us vs competitors?
| Feature | This Actor | Standard Web Scrapers |
|---|---|---|
| Speed | β‘ Extremely Fast (Direct API) | π Slow (DOM Parsing) |
| Compute Cost | π° Minimal | πΈ High RAM/CPU Usage |
| Data Quality | π― Clean & Structured JSON | β οΈ Brittle HTML Selectors |
| Founder Contacts | β Included (Names + LinkedIn) | β Often missing |
Input Configuration
You can pass the following properties to configure the extraction:
| Field | Type | Description |
|---|---|---|
batches | Array | Define which YC batch to extract (e.g., ["W25", "S24"]). Leave empty to scrape all. |
industry | String | Filter by industry (e.g. B2B, Consumer, Fintech). |
maxItems | Integer | Max startups to extract. |
JSON Example Output
{"company_name": "DoorDash","yc_batch": "Summer 2013","industry": "Consumer -> Food and Beverage","short_description": "Restaurant delivery.","long_description": "Founded in 2013, DoorDash is a San Francisco-based technology company...","website_url": "http://doordash.com","location": "San Francisco, CA, USA","founders": [{"name": "Tony Xu","title": "CEO","linkedin_url": "https://www.linkedin.com/in/tony-xu-373b544/","twitter_url": null}]}