YC Companies & Founders Scraper
Pricing
from $10.00 / 1,000 dataset items
YC Companies & Founders Scraper
Scrape the full Y Combinator startup directory — company profiles plus founder names, LinkedIn, Twitter and bios, jobs and launches. Filter by batch, industry, region, status or hiring, or export all 6,000+ companies as structured JSON. Pay only for the results you get.
Pricing
from $10.00 / 1,000 dataset items
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Y Combinator Companies & Founders Scraper
Export the entire Y Combinator startup directory — every public company and its founders — as clean, structured JSON. Search or filter by batch, industry, region, status and hiring, or export all 6,000+ companies in one run. Each company can be enriched with founder names, titles, bios, LinkedIn and Twitter, company socials, open jobs, launches and news.
It reads Y Combinator's own Algolia index and page data — an official, unauthenticated path with no anti-bot — so runs are fast and reliable where HTML scrapers break.
Who uses this
- Investors & analysts — track every batch, industry and region; monitor hiring, status (Active / Acquired / Public) and new launches for deal flow.
- Sales & lead-gen teams — build targeted lists of founders with LinkedIn / Twitter and company websites, filtered by batch, industry or hiring status.
- PropTech / SaaS & AI builders — a stable JSON directory for enrichment pipelines, market maps, RAG and internal tools.
- Researchers & journalists — the full YC population, segmented by cohort.
Output fields
| Field | Type | Description |
|---|---|---|
name, slug, url | string | Company name, YC slug, YC profile URL |
website | string | Company website |
oneLiner, longDescription | string | Short and full company descriptions |
batch, batchName | string | YC batch (e.g. Winter 2024) |
industry, subindustry, industries | string / array | Industry classification |
tags, regions, allLocations | array / string | Tags, regions, locations |
status, stage | string | Company status and stage |
teamSize, yearFounded, launchedAt | number | Size, founding year, launch epoch |
topCompany, isHiring, nonprofit | boolean | YC flags |
linkedinUrl, twitterUrl, facebookUrl, crunchbaseUrl, githubUrl | string | Company socials |
logoUrl, logoThumbUrl | string | Company logo |
founders | array | {name, title, bio, linkedinUrl, twitterUrl, avatarUrl} per founder |
numFounders | number | Founder count |
jobs, numJobs | array / number | Open roles at the company |
launches, numLaunches | array / number | Launch YC posts |
news, numNews | array / number | News items |
scrapedAt | string | ISO-8601 UTC timestamp |
Founder and social fields are populated when Include founders & full detail is enabled (the default).
High-value use cases
- Founder lead lists — filter by batch + industry, enable founders, and export name + title + LinkedIn straight into your CRM or outreach tool.
- Deal-flow monitoring — schedule a daily run sorted by launch date to catch every new YC company the day it goes public.
- Market maps — export a whole vertical (e.g.
Healthcare,Fintech, or theArtificial Intelligencetag) with team size, stage and status. - Hiring signals — filter
isHiringto find companies actively growing, then pull their open roles from thejobsfield. - Cohort research — export one or more batches end-to-end for analysis.
Input parameters
| Field | Type | Default | Description |
|---|---|---|---|
searchQuery | string | "" | Free-text search; empty browses everything |
batches | array | [] | Filter by YC batch(es) |
industries | array | [] | Filter by industry |
subindustries | array | [] | Filter by sub-industry |
regions | array | [] | Filter by region |
tags | array | [] | Filter by tag |
status | array | [] | Active, Acquired, Public, Inactive |
isHiring | boolean | false | Only hiring companies |
topCompany | boolean | false | Only YC top companies |
nonprofit | boolean | false | Only nonprofits |
sort | enum | relevance | relevance or launch_date (newest) |
scrapeAllBatches | boolean | false | Export the whole directory (bypasses the 1,000-per-query limit) |
includeFounders | boolean | true | Enrich with founders, socials, jobs, launches, news |
maxItems | integer | 100 | Cap the number of companies |
proxyConfiguration | object | direct | Optional Apify proxy |
Example input
{"industries": ["Fintech"],"isHiring": true,"sort": "launch_date","includeFounders": true,"maxItems": 200}
Example output (one row, truncated)
{"name": "Airbnb","slug": "airbnb","url": "https://www.ycombinator.com/companies/airbnb","website": "http://airbnb.com","batch": "Winter 2009","industry": "Travel, Leisure and Tourism","status": "Public","teamSize": 6132,"isHiring": false,"linkedinUrl": "https://www.linkedin.com/company/airbnb/","founders": [{"name": "Brian Chesky","title": "Co-founder & CEO","linkedinUrl": "https://www.linkedin.com/in/brianchesky/","twitterUrl": "https://twitter.com/bchesky"}],"numFounders": 3,"scrapedAt": "2026-08-17T12:00:00Z"}
Export the whole directory
Set scrapeAllBatches: true to export every public company. The Actor iterates
each YC batch behind the scenes to bypass the search API's 1,000-result-per-query
limit and deduplicates by company, giving you the complete ~6,200-company dataset.
Scheduling & integrations
- Schedule daily/weekly runs from the Apify Console to keep a fresh dataset.
- Webhooks can trigger on run completion to push new rows into your systems.
- Export to JSON, CSV, Excel or Google Sheets, or pull results via the Apify API, or connect to Make, Zapier and n8n.
Use it from an AI agent (MCP)
This Actor works with the Apify MCP server, so assistants like Claude or ChatGPT can run it as a tool and receive the structured company/founder data directly — handy for research and enrichment agents.
FAQ
How many companies can I get? The full public directory is ~6,200 companies.
Enable scrapeAllBatches to export them all; otherwise a single query returns up
to 1,000 results.
Are founder contacts included? Yes — with includeFounders on (default), each
company includes its founders with title, bio, LinkedIn and Twitter where YC
publishes them.
How fresh is the data? Every run reads the live directory, so results reflect YC's current data at run time.
Is it reliable? It uses YC's own official data endpoints (no HTML scraping and no anti-bot to fight), so it is stable and fast.
Is this legal? The Actor collects only publicly available information from Y Combinator. You are responsible for using the data in line with YC's terms and applicable laws (e.g. GDPR/CCPA) — especially for personal data such as founder contacts.
Support? Issues and feature requests are welcome on the Actor's Issues tab.