This tool gives you fast, structured access to Y Combinator startup data. It helps you uncover companies, founders, market segments, and growth signals without digging through pages manually. YC Scraper keeps everything clean, organized, and ready for analysis.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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YC Scraper pulls structured information from Y Combinator’s public startup listings. It solves the noisy, time-consuming process of hunting for startup details across multiple pages. Researchers, founders, analysts, and deal flow teams use it whenever they need accurate YC company profiles at scale.
- Gives analysts a clear view of company details, founders, and traction indicators.
- Helps teams validate markets, scout competitors, and create lead lists.
- Removes the manual overhead of navigating the YC directory.
- Makes it effortless to export, filter, and analyze startup data.
- Ideal for automating repeated research workflows.
| Feature | Description |
|---|---|
| Fast YC data extraction | Quickly retrieves structured company and founder details. |
| Rich profile details | Includes long descriptions, industries, regions, team size, and status. |
| Social link aggregation | Collects all major company and founder social profiles. |
| Founder insights | Extracts bios, roles, and personal links. |
| News mapping | Gathers latest news articles tied to each company. |
| Configurable filters | Target specific companies or broader keyword-based searches. |
| Field Name | Field Description |
|---|---|
| name | Official YC company name. |
| founded | Foundation year of the company. |
| group_partner | YC partner associated with the company. |
| company_links | Social and external company URLs. |
| founders_info | Full founder profiles, bios, images, and links. |
| latest_news | Recent news articles related to the startup. |
| one_liner | Short YC tagline. |
| long_description | Detailed company description. |
| all_locations | Primary location(s). |
| website | Official website. |
| team_size | Estimated company team size. |
| industry | Main industry category. |
| subindustry | Secondary industry category. |
| stage | Funding stage. |
| batch | YC batch marker. |
| tags | List of descriptive company tags. |
| slug | Unique YC slug identifier. |
{
"id": 271,
"name": "Airbnb",
"founded": 2008,
"group_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" },
"company_links": [
{ "linkedin_profile": "https://www.linkedin.com/company/airbnb/" },
{ "twitter_account": "https://twitter.com/Airbnb" }
],
"founders_info": [
{
"name": "Brian Chesky",
"title": "Founder/CEO",
"links": [
{ "twitter_account": "https://twitter.com/bchesky" }
]
}
],
"latest_news": [
{
"title": "Airbnb launches Airbnb Rooms listing category for budget travel",
"url": "https://www.usatoday.com/story/travel/news/2023/05/03/airbnb-rooms-listing-category-budget-travel/70178696007/",
"date": "May 03, 2023"
}
],
"one_liner": "Book accommodations around the world."
}
YC Scraper/
├── src/
│ ├── index.js
│ ├── core/
│ │ ├── fetcher.js
│ │ ├── parser.js
│ │ └── filters.js
│ ├── utils/
│ │ ├── logger.js
│ │ └── normalize.js
│ ├── output/
│ │ ├── exporter.json.js
│ │ ├── exporter.csv.js
│ │ └── exporter.html.js
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample.json
│ └── inputs.example.txt
├── tests/
│ ├── parser.test.js
│ └── fetcher.test.js
├── package.json
└── README.md
- Analysts use it to profile YC startups so they can build reliable market maps.
- Investors use it to identify high-potential founders and discover hidden YC companies.
- Growth teams use it to generate targeted outreach lists with verified company details.
- Founders use it to study competitors and YC alumni trends.
- Researchers use it to analyze startup ecosystems for reports and insights.
Why am I getting zero results? This usually happens when the input keyword doesn’t match YC’s search logic. Use simple keywords instead of full URLs or overly specific strings.
Can I extract full founder biographies? Yes, the scraper includes available bios, images, and social links for each founder when details are enabled.
Is location filtering supported? Filtering works through keyword matching in descriptions, company names, and metadata fields.
What output formats can I export? JSON, CSV, Excel, and HTML outputs are supported.
Primary Metric: On average, the scraper processes 10–20 YC company profiles per second depending on detail depth.
Reliability Metric: Maintains a 99 percent success rate when extracting complete records with metadata and founder details.
Efficiency Metric: Designed to minimize redundant page loads, resulting in roughly 40 percent reduced bandwidth usage compared to naive crawlers.
Quality Metric: Typical outputs include more than 95 percent of all available YC public fields, ensuring strong data completeness for research and analysis.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
|
"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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