
Y Combinator Scraper
Pricing
$15.00 / 1,000 results

Y Combinator Scraper
Scrape data on Y Combinator companies and their founders from the Y Combinator directory.
5.0 (12)
Pricing
$15.00 / 1,000 results
18
Monthly users
71
Runs succeeded
>99%
Response time
0.48 hours
Last modified
18 hours ago
What does Y Combinator Scraper do?
Y Combinator Scraper allows you to extract data about companies and founders from the Y Combinator directory: company name, description, batch, status, location, website, founder name, founder LinkedIn, and more.
About Y Combinator
Y Combinator is the leading startup accelerator for entrepreneurs. Since 2005, YC has invested in over 4,500 companies that have a combined valuation of over $600B, including Airbnb, Dropbox, Stripe, Reddit, Instacart, DoorDash, and Coinbase. Today, YC has built the most powerful startup community in the world alongside the products and programs to support founders for the life of their company.
Company data fields
Field Name | Type | Description |
---|---|---|
Company Name | String | Company name |
Short Description | String | One-line description of the company |
Long Description | String | Long description of the company |
Batch | String | Batch name provided by YC |
Status | String | Company status |
Tags | List | Industry tags |
Location | String | Company location |
Year Founded | Int | Year the company was founded |
Team Size | Int | Number of employees |
Group Partner | String | Mentor for a company |
Website | String (URL) | Company website |
Company LinkedIn | String (URL) | Company LinkedIn URL |
Company X | String (URL) | Company X URL |
Founders data fields
Field Name | Type | Description |
---|---|---|
Founder Name | String | Founder name |
Founder LinkedIn | String (URL) | Founder LinkedIn URL |
Founder X | String (URL) | Founder X URL |
Why scrape Y Combinator?
- Lead generation: identifying startups for potential collaboration or investment.
- Market research: analyzing trends and popular niches in the startup ecosystem.
- Studying the startup landscape: understanding successful approaches and business models.
- Finding inspiration: exploring ideas and innovations that could influence your own project.
Example Input
Companies search URL: https://www.ycombinator.com/companies?batch=F24&industry=B2B
And here’s the same, just in JSON.
1{ 2 "p": 1, 3 "url": "https://www.ycombinator.com/companies?batch=F24&industry=B2B" 4}
Output sample
The results will be wrapped into a dataset which you can find in the Storage tab. Note that the output is organized in a table for viewing convenience. Here's an example of some of the output from the previous companies search URL:
By clicking on the green Export button, you can download the dataset in XML, CSV, Excel, HTML, or JSON. See an example of a JSON file:
1{ 2 "company_name": "Gecko Security", 3 "short_description": "The AI Security Engineer to Find and Fix Vulnerabilities", 4 "long_description": "We built Gecko for teams that want to build secure code quickly without wasting time on security tools that don’t deliver results, or relying on one-time human pentests that quickly become outdated. Gecko uses AI to understand how your application should work, simulates relevant attacks to find critical vulnerabilities, and then verifies these vulnerabilities by exploiting them. It also helps you understand the risk of these vulnerabilities and applies a working fix to keep your code secure.", 5 "batch": "F24", 6 "status": "ACTIVE", 7 "tags": [ 8 "ARTIFICIAL-INTELLIGENCE", 9 "SAAS", 10 "B2B", 11 "SECURITY", 12 "CYBERSECURITY", 13 "SAN FRANCISCO" 14 ], 15 "location": "San Francisco", 16 "year_founded": "2024", 17 "team_size": "2", 18 "group_partner": "Pete Koomen", 19 "website": "https://gecko.security/", 20 "company_linkedin": "https://www.linkedin.com/company/geckosec", 21 "company_x": "https://x.com/gecko_sec", 22 "founder_1_name": "Jeevan Jutla", 23 "founder_1_linkedin": "https://www.linkedin.com/in/jeevan-jutla/", 24 "founder_1_x": "https://x.com/jjjutla" 25}
How do I use Y Combinator Scraper?
The Y Combinator Scraper is designed to help you easily extract contact details from the web, even if you have no prior experience. Follow these steps to scrape data on Y Combinator companies and their founders:
- Enter Search URL: Copy and paste the Y Combinator directory search URL directly into the scraper's input field.
- Select Founder Quantity: Choose the number of founders (up to 4) you want to extract from the search results.
- Run the Scraper: Click "Start" and wait for the data extraction to complete.
- Export your data in Excel, CSV, JSON, HTML, or via API.
After selecting the necessary filters, the URL address may not update immediately from time to time. Therefore, please double-check it before pasting it into the scraper. Additionally, you can change the "Sort by" option as shown in the screenshot to ensure that the URL address updates promptly based on the filters you have selected.
How much does Y Combinator Scraper scraping cost?
This scraper uses the Pay-per-result pricing model, so your costs can be easily calculated: it will cost you $15 to scrape 1,000 search results, which is $0.015 per item. Apify provides you with $5 in free usage credits every month on the Apify Free plan, allowing you to scrape over 300 search results from the Y Combinator directory for free using those credits.
For regular data extraction, consider upgrading to the $49/month Starter plan, which can get you over 3,000 search results every month.
Integrations and Y Combinator Scraper
Y Combinator Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and more.
Your feedback
We’re always working on improving the performance of our Actors. If you’ve got any technical feedback for Y Combinator Scraper or simply found a bug, please create an issue on the actor’s Issues tab in Apify Console.
Pricing
Pricing model
Pay per resultThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$15.00