Y Combinator Scraper
Pricing
from $1.00 / 1,000 results
Y Combinator Scraper
Discover the Y Combinator Scraper, an efficient actor for scraping the YC companies directory. Easily extract detailed profiles, founder info, and batch data. Ideal for market research, lead generation, or investment analysis. For best results and to avoid blocks, residential proxies are best.
Pricing
from $1.00 / 1,000 results
Rating
4.3
(5)
Developer
Shahid Irfan
Maintained by CommunityActor stats
5
Bookmarked
39
Total users
3
Monthly active users
8 days ago
Last modified
Categories
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Y Combinator Companies Scraper
Extract detailed company data from the Y Combinator directory - startup profiles, batch info, hiring signals, locations, and industry taxonomy. This scraper collects structured records from YC listings with automatic pagination, making it easy to build datasets for market research, talent sourcing, and cohort analysis.
Features
- Complete company profiles - Collect name, description, batch, status, location, team size, website, and social links
- Industry taxonomy - Tags, industries, regions, and market category for every company
- Hiring and growth signals - Hiring status, nonprofit flag, top-company marker, and launch date
- Flexible pagination - Set a result limit, max pages, or scrape everything available
- Batch and location filtering - Pass a YC directory URL with query parameters to target specific cohorts or regions
- Clean export-ready data - JSON output with consistent field types for analysis
Use Cases
Startup Market Analysis
Build a comprehensive dataset of YC-funded companies to analyze trends across batches, stages, and industries. Track which sectors are getting funded and compare cohort characteristics over time.
Talent Acquisition Intelligence
Identify companies that are actively hiring, review their team size and stage, and prioritize outreach targets based on growth signals and market categories.
Portfolio and Ecosystem Research
Map the Y Combinator ecosystem by company location, founding year, and industry. Use the taxonomy fields (tags, industries, regions) to segment companies for investment or partnership research.
Batch and Cohort Comparison
Compare company characteristics across YC batches. Filter by batch parameter to examine how startup profiles, funding stages, and hiring patterns have evolved over successive cohorts.
Input Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
url | String | No | https://www.ycombinator.com/companies/industry/all | YC directory URL to scrape. Supports path and query parameters for filtering |
scrape_all_companies | Boolean | No | false | Ignore the result limit and collect all available companies (capped by max pages) |
results_wanted | Integer | No | 20 | Maximum number of company records to save |
max_pages | Integer | No | 5 | Safety limit for the number of listing pages to paginate through |
proxyConfiguration | Object | No | Apify Proxy | Proxy settings for reliable extraction. Residential proxy recommended for larger runs |
Output Data
Each dataset item contains the following fields:
| Field | Type | Description |
|---|---|---|
company_id | String | Y Combinator company ID |
slug | String | Company slug used in profile URL |
company_name | String | Company name |
url | String | Absolute URL to the YC profile page |
short_description | String | One-line summary from the listing |
one_liner | String | Tagline from the YC listing |
long_description | String | Full company description |
batch | String | YC batch (e.g., S25, W24) |
status | String | Company status (Active, Acquired, Public, etc.) |
tags | Array | Industry tags |
company_location | String | Primary company location |
year_founded | String | Founding year |
founded_raw | String | Raw founding date text from the YC profile |
team_size | String | Reported team size |
market | String | Market or category tag |
website | String | Company website URL |
company_linkedin | String | LinkedIn profile URL |
company_x | String | X / Twitter profile URL |
industries | Array | Industry taxonomy labels |
regions | Array | Region taxonomy labels |
stage | String | Company stage (Growth, Early, etc.) |
top_company | Boolean | Top-company indicator |
is_hiring | Boolean | Hiring signal |
nonprofit | Boolean | Nonprofit flag |
launched_at | String | Launch timestamp in ISO format |
company_image | String | URL of the company logo |
primary_partner | String | Primary YC partner name |
primary_group_partner | Object | Detailed partner info (name, title) |
former_names | Array | Former company names |
founders | Array | Founder profiles (enabled with detail mode) |
open_jobs | Array | Open job listings (enabled with detail mode) |
algolia_raw | Object | Raw Algolia record for debugging |
Usage Examples
Basic Company Collection
Collect 20 companies from the default listing:
{"results_wanted": 20,"max_pages": 1}
Targeted Batch Extraction
Scrape 50 companies from a specific YC batch:
{"url": "https://www.ycombinator.com/companies/industry/all?batch=S25","results_wanted": 50,"max_pages": 3}
Full Directory Export
Scrape all available companies with a generous page limit:
{"scrape_all_companies": true,"max_pages": 50}
Sample Output
{"company_id": "271","slug": "airbnb","company_name": "Airbnb","url": "https://www.ycombinator.com/companies/airbnb","short_description": "Book accommodations around the world.","one_liner": "Book accommodations around the world.","long_description": "Founded in August of 2008 and based in San Francisco...","batch": "Winter 2009","status": "Public","tags": ["Marketplace", "E-commerce"],"company_location": "San Francisco, CA, USA","website": "http://airbnb.com","team_size": "6132","market": "Consumer","industries": ["Consumer", "Travel, Leisure and Tourism"],"regions": ["United States of America", "America / Canada"],"stage": "Growth","top_company": true,"is_hiring": false,"nonprofit": false,"launched_at": "2012-01-17T22:34:16.000Z"}
Tips for Best Results
Start With a Small Test
Use results_wanted: 20 and max_pages: 1 for initial testing to verify your target URL returns expected data.
Use Proxy for Large Runs
Enable Apify Proxy with residential groups when scraping many pages to maintain consistent extraction.
Target Specific Batches
Use batch query parameters in the URL (e.g., ?batch=W24) to narrow results to a specific YC cohort for faster, more focused runs.
Integrations
Connect your scraped data with:
- Google Sheets - Export datasets for sorting and filtering
- Airtable - Build searchable company databases
- Make / Zapier - Trigger automated workflows on new data
- Webhooks - Push records into custom systems
- Slack - Get notified when new companies are collected
Export Formats
- JSON - For APIs and programmatic access
- CSV - For spreadsheet analysis and BI tools
- Excel - For business reporting
- XML - For legacy system integrations
Frequently Asked Questions
How many companies can I collect?
You can collect all available companies by enabling scrape_all_companies. The only limit is how many pages you set with max_pages.
Can I filter by YC batch?
Yes. Pass a URL like https://www.ycombinator.com/companies/industry/all?batch=S25 and the actor respects the filter parameters.
Why are some fields null?
Some companies do not publish every field. Partner assignments, founding dates, and team sizes may be missing for certain records.
Does the actor need an API key?
No. All data is collected from the public Y Combinator directory. Algolia credentials are fetched automatically on each run.
Can I extract founder or job data?
Currently founders and open jobs are included as empty arrays in the output. A future update will add optional detail scraping for these fields.
How fast is the extraction?
The actor uses API-level data access for listing and enrichment, making it significantly faster than browser-based scrapers. A typical run of 100 companies completes in under a minute.
Support
For bug reports, feature requests, or questions, contact support through the Apify Console.
Resources
Legal Notice
This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with Y Combinator's terms of service and applicable laws. Use data responsibly and respect rate limits.