π Y Combinator Scraper
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π Y Combinator Scraper
Y Combinator Scraper extracts startup profiles, founders, industries, batches, locations, websites, and company details from Y Combinator. Ideal for startup research, lead generation, competitor analysis, and market intelligence.
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Y Combinator Scraper β Companies, Founders and Open Jobs as JSON
Y Combinator Scraper extracts structured data for every company matching a YC directory search β company description, batch, industry, stage, socials, founder details, and open job listings. Paste in a search URL from ycombinator.com/companies, and get back typed, normalized JSON with no HTML parsing on your end. Results save to the dataset the moment each company finishes, so a long run never loses completed work. Start a run and watch the first records land within seconds.
π What is Y Combinator Scraper?
Y Combinator Scraper is an Apify Actor that turns one or more YC directory search URLs into structured company records β including founders and open jobs β without a headless browser. It queries the same search backend and detail pages the public directory itself uses, so no Y Combinator account or login is ever required. It's built for developers, growth and recruiting teams, and AI engineers who need YC's startup data as clean JSON instead of scraping the HTML themselves.
π What Y Combinator company data is publicly available to scrape?
Everything on a company's public YC directory page β its profile, founders, and open jobs β is visible to any visitor without logging in; a small number of fields simply aren't published by YC at all, at any access level.
| Data category | Publicly available | Not published by YC |
|---|---|---|
| Company profile (name, description, batch, industry, stage, status) | Yes | β |
| Company website and social links | Yes | β |
| Founder name, title, bio, LinkedIn, X | Yes | β |
| Founder email address | β | Only a "has email" flag is exposed, never the address |
| Open job title, description, location, salary, equity, skills | Yes | β |
| Revenue, funding amount, valuation | β | Not part of the public directory |
| YC application or interview data | β | Internal to YC, never public |
| Job applicant / candidate data | β | Visible only to the hiring company's own account |
Y Combinator Scraper only returns publicly visible data β what any visitor sees. Nothing behind a login wall.
π What data can I extract with Y Combinator Scraper?
Every run returns one JSON record per company, covering identity and classification, metrics and links, plus nested founder and job objects.
| Field name | Description |
|---|---|
url | Company's profile URL on the YC directory |
company_id | Numeric company ID assigned by YC |
company_name | Company name |
company_image | Company logo URL |
short_description | One-line company description ("one-liner") |
long_description | Full company description |
batch | YC batch, e.g. "Spring 2026" |
industry | Primary industry |
subindustry | Sub-industry, derived from YC's category tree |
stage | Company growth stage |
status | Company status, e.g. "Active" |
tags | Additional industry/topic tags, or null |
website | Company's own website URL |
year_founded | Year the company was founded |
team_size | Number of employees, as reported to YC |
company_location | Company headquarters location |
company_linkedin | Company LinkedIn URL |
company_x | Company X (Twitter) URL |
company_facebook | Company Facebook URL |
company_crunchbase | Company Crunchbase URL |
company_github | Company GitHub URL |
primary_partner | YC partner mentoring the company |
top_company | YC "top company" flag |
nonprofit | Nonprofit flag |
is_hiring | Whether the company currently has open roles |
number_of_open_jobs | Open job count β always included, even when job details aren't scraped |
open_jobs | Full job listings β populated only when Scrape Open Jobs is on |
founders | Founder objects β populated only when Scrape Founders is on |
Company identity and classification
url, company_id, company_name, company_image, short_description, long_description, batch, industry, subindustry, stage, status, tags β what the company is, what it's called, and how YC categorizes it.
Metrics, flags and links
website, year_founded, team_size, company_location, company_linkedin, company_x, company_facebook, company_crunchbase, company_github, primary_partner, top_company, nonprofit, is_hiring, number_of_open_jobs β the numeric, boolean, and link fields.
Founders and open jobs (nested objects)
Each entry in founders returns id, name, title, bio, emails ({available, email, status}), linkedin, x. Each entry in open_jobs returns id, title, description_url, description, location, remote, type, role, salary, equity, skills, years_experience, visa.
β οΈ
emails.emailandemails.statusare alwaysnull. YC's directory exposes onlyemails.availableβ a true/false flag for whether the founder has listed an email with YC β never the address itself.
π€ Add-on: Need additional Y Combinator data?
Pair this Actor with LinkedIn People Profile Scraper to pull full LinkedIn profile data for a founder beyond the linkedin URL, or Twitter X Profile Viewer to enrich a founder's x handle with bio, follower count, and recent posts. For a company's own site content rather than its YC listing, Website Content Crawler can crawl the website field directly.
π Why not build this yourself?
Y Combinator does not publish a public API for its startup directory, so the only way to get this data programmatically is to scrape it β and doing that reliably means more than a simple HTML fetch. The directory's search runs on a client-side Algolia index whose credentials live inside the page's JavaScript and can rotate; this Actor live-extracts them on every run and falls back to a pinned value if extraction fails. Company detail pages embed their data as an Inertia.js JSON blob, not stable HTML markup, so a naive scraper breaks the moment YC ships a frontend change. And YC does rate-limit and block aggressive scraping, which means building and maintaining your own proxy-escalation logic. Y Combinator Scraper already handles all three, plus the search backend's 1,000-result-per-query cap, so you get structured records without owning that maintenance burden.
βΆοΈ How to use Y Combinator Scraper
Y Combinator Scraper runs on the Apify platform β no separate signup or API key is needed to try it in Console.
- Open Y Combinator Scraper on its Apify Store listing and click Try for free (or Start).
- Go to the YC directory, apply the filters you want, copy the URL, and paste it into π YC Companies Search URL(s) β the only required input.
- Toggle π₯ Scrape Founders and πΌ Scrape Open Jobs depending on what you need; adjust π― Maximum Companies if you want a smaller sample.
- Click Start.
- Watch results arrive live in the Output tab, or download the full dataset as JSON, CSV, or Excel once the run finishes.
Scaling to bulk company extraction
The urls input is an array, so pasting several YC directory search URLs (different batches, industries, or stages) into one run merges and de-duplicates every match into a single dataset β no need to run the Actor once per filter. For the entire directory instead of a filtered search, enable π Scrape ALL Companies, which ignores urls and maxCompanies and pulls all 5,500+ funded companies across every batch.
π‘ What can you do with Y Combinator company data?
- A growth marketer building a partnership list uses
industry,batch, andwebsiteto shortlist recently-funded companies in a target vertical before outreach. - A recruiter sourcing candidates uses
is_hiringandnumber_of_open_jobsto find actively-hiring startups, then pullsopen_jobsfor the exact roles and salary ranges on offer. - A sales development rep uses
founders[].linkedinandfounders[].titleto identify the right decision-maker at each company before connecting. - A market researcher aggregates
industry,subindustry, andbatchacross thousands of records to chart which sectors YC is funding batch-over-batch. - An AI engineer feeds
long_descriptionandfounders[].biointo a RAG pipeline so an agent can answer natural-language questions about YC's startup portfolio with source-grounded context.
π‘οΈ How does Y Combinator Scraper handle rate limits and blocking?
By default, every request goes directly to Y Combinator with no proxy, for maximum speed. If a request comes back rejected or blocked (HTTP 403, 429, or a 5xx server error), the Actor automatically escalates through a proxy ladder β no proxy β Apify Proxy datacenter β Apify Proxy residential β retrying up to 3 times on residential before giving up on that one request. Once the run escalates to residential, it stays there for every remaining request rather than dropping back down. Separately, a genuine network failure (timeout, DNS error, connection reset) is retried with backoff; β±οΈ Delay Between Requests and β‘ Max Concurrency let you pace requests to avoid triggering rate limits in the first place.
β οΈ If 12 consecutive requests fail to reach Y Combinator at all β a connectivity problem, not a block β the run stops early and keeps whatever was already scraped, rather than retrying indefinitely.
β¬οΈ Input
Y Combinator Scraper accepts the parameters below, defined in input_schema.json. Only urls is required.
| Parameter | Required | Type | Description | Example value |
|---|---|---|---|---|
urls | Yes | array | One or more Y Combinator directory search URLs (bulk supported). Apply filters on the YC directory (batch, industry, region, stage, tags, hiring status, ...), copy the full URL, and paste it here β one per line, or upload a file. Every result across all pasted URLs is merged and de-duplicated. | ["https://www.ycombinator.com/companies?batch=Summer%202026"] |
scrapeFounders | No | boolean | When enabled, each company record includes its founders β name, title, bio, LinkedIn, X (Twitter), and email availability. Default true. | true |
scrapeOpenJobs | No | boolean | When enabled, each company record includes its full open-job listings β title, description, location, salary, equity, skills, and more. Leave off for faster runs if you only need the job count. Default false. | false |
maxCompanies | No | integer | Stop after this many companies (across all search URLs combined). Leave empty for no limit. Default 10, minimum 1. | 25 |
scrapeAllCompanies | No | boolean | Set to true to scrape every company in the YC directory (5,500+, all batches). When enabled, urls and maxCompanies are ignored entirely. Default false. | false |
proxyConfiguration | No | object | By default the Actor connects to Y Combinator with no proxy for maximum speed, and auto-escalates through datacenter and residential tiers if blocked. Force a specific tier here if needed. | { "useApifyProxy": false } |
maxConcurrency | No | integer | How many companies to enrich in parallel. Higher is faster but more likely to trigger rate limiting. Default 5, minimum 1, maximum 20. | 5 |
requestDelay | No | number | Optional polite delay before each request, in seconds. Float values are supported. Default 0, minimum 0, maximum 10. | 0.5 |
maxRetries | No | integer | How many times to retry a single request on a network error or server hiccup (5xx) before giving up on that attempt. Default 3, minimum 1, maximum 5. | 3 |
Direct API callers may also pass startUrls as an alternate key name for urls.
Example input
{"urls": ["https://www.ycombinator.com/companies?batch=Summer%202026&industry=B2B"],"scrapeFounders": true,"scrapeOpenJobs": true,"maxCompanies": 25,"scrapeAllCompanies": false,"maxConcurrency": 5,"requestDelay": 0.5,"maxRetries": 3}
β¬οΈ Output
Y Combinator Scraper writes one typed, normalized JSON record per company to the dataset, with a stable field order and consistent schema across runs. Download results as JSON, CSV, Excel, or HTML from the Output tab, or via the Apify API.
Example output
{"url": "https://www.ycombinator.com/companies/akkari","company_id": 31576,"company_name": "Akkari","company_image": "https://bookface-images.s3.amazonaws.com/small_logos/akkari.png","short_description": "Autonomous Customer Operations","long_description": "Akkari runs the operational work from the first sales call through expansion, replacing manual customer ops with an AI-driven workflow.","batch": "Spring 2026","industry": "B2B","subindustry": "B2B","stage": "Early","status": "Active","tags": ["Artificial Intelligence", "SaaS"],"website": "https://akkari.io/","year_founded": "2026","team_size": "5","company_location": "San Francisco","company_linkedin": null,"company_x": null,"company_facebook": null,"company_crunchbase": null,"company_github": null,"primary_partner": "Aaron Epstein","top_company": false,"nonprofit": false,"is_hiring": true,"number_of_open_jobs": 1,"open_jobs": [{"id": 48213,"title": "Founding Engineer","description_url": "https://www.ycombinator.com/companies/akkari/jobs/founding-engineer","description": "Build the core workflow engine that powers Akkari's customer operations platform...","location": "San Francisco, CA","remote": false,"type": "Full-time","role": "Engineering, Full stack","salary": "$120K - $180K","equity": "0.50% - 1.50%","skills": ["Python", "TypeScript", "PostgreSQL"],"years_experience": "2","visa": null}],"founders": [{"id": 33963,"name": "Jeffrey Byun","title": "Founder/CEO","bio": "2x YC founder (W11, P26), CEO of Akkari, and former bond trader.","emails": { "available": true, "email": null, "status": null },"linkedin": "https://www.linkedin.com/in/jeffbyun/","x": "https://twitter.com/jeffbyun"}]}
βοΈ How does it work?
Y Combinator Scraper talks to the same two backends the public directory uses in a browser: Algolia's search index for the company list, and the directory's own Inertia.js-powered detail pages for founders, socials, and job postings. Every request goes through impit, an HTTP client that impersonates a real Chrome browser at the network level β no headless browser is launched. Requests start with no proxy for speed; if Y Combinator rejects one, the Actor automatically escalates through Apify Proxy's datacenter and residential tiers, retrying on residential before giving up on that request. Only data visible on YC's own public pages is ever returned, and the output schema β the same fields, in the same order β stays fixed regardless of how YC's frontend markup changes, because the parsing logic that maps YC's page structure to this schema lives in one isolated module.
π Integrations
Y Combinator Scraper works with the tools you already use for automation and AI β call it directly over HTTP, wire it into a no-code workflow, or reach it as an agent tool.
Calling Y Combinator Scraper programmatically
import requestsresponse = requests.post("https://api.apify.com/v2/acts/<ACTOR_ID>/run-sync-get-dataset-items",headers={"Authorization": "Bearer YOUR_APIFY_TOKEN"},json={"urls": ["https://www.ycombinator.com/companies?batch=Summer%202026"],"scrapeFounders": True,},)companies = response.json()
Works in Go, Ruby, Node.js, cURL β any language that can make an HTTP request.
No-code tools (n8n, Make, LangChain)
In n8n, use the HTTP Request node pointed at the run-sync-get-dataset-items endpoint above, with your Apify token as a Bearer header. In Make, use the Apify app's built-in "Run Actor and get dataset items" module and map urls from an earlier step. In LangChain, the community ApifyWrapper / langchain-apify integration can call any Apify Actor as a tool and load the returned dataset items as Document objects for a retrieval chain.
Any Apify Actor, this one included, can also be reached through the Apify MCP server as a callable tool from Claude, Cursor, and other MCP-compatible clients.
βοΈ Is it legal to scrape Y Combinator companies?
Yes β scraping publicly available business data, such as a startup directory, is generally lawful in most jurisdictions, and Y Combinator Scraper only returns data already visible to any visitor on YC's public company pages. The company records (name, description, batch, industry, socials) are business data, not personal data, so they fall under Y Combinator's terms of service and database-rights framing rather than a personal-data privacy regime. The founders array is different: names, bios, and social profile links are personal data about identifiable individuals, so GDPR/CCPA considerations β a lawful basis for storing and using that data β apply if you enable scrapeFounders. Consult legal counsel if your use case involves bulk storage of personal data.
β Frequently asked questions
What Y Combinator company fields does Y Combinator Scraper return?
The top fields are company_name, short_description, batch, industry, and is_hiring, plus nested founders and open_jobs objects when enabled. See What data can I extract above for the full field list.
Does Y Combinator Scraper require a YC account or login?
No. Every field comes from Y Combinator's public directory pages, and the Actor makes plain HTTP requests with no authentication β no YC account, cookie, or login is used or required.
How many companies can I extract in one run?
maxCompanies defaults to 10 but can be raised or left empty for no cap, and scrapeAllCompanies pulls the entire directory (5,500+ companies) in one run. Internally, when a single search matches more than 1,000 companies β the search backend's per-query cap β the Actor automatically splits the query by batch and merges the results, so the 1,000-hit cap never limits what you can extract.
What happens if a search URL returns zero companies?
The run logs a warning β "No companies matched your search β nothing to scrape" β and finishes without pushing any dataset items or charging any events. Double-check the filters on the search URL if this happens unexpectedly.
Can I scrape multiple Y Combinator search URLs at once?
Yes. urls accepts an array, so pasting several directory search URLs (different batches, industries, or stages) into one run merges and de-duplicates every match into a single dataset, instead of running the Actor once per filter.
Does Y Combinator Scraper work with Claude, ChatGPT, and other AI agent tools?
Yes. It's callable as an HTTP endpoint by any agent framework, and reachable through the Apify MCP server for Claude, Cursor, and other MCP-compatible clients.
Does Y Combinator Scraper include YC's separate "Work at a Startup" job board?
No. open_jobs comes from each company's own detail-page job postings on the main directory, not from the separate workatastartup.com site β so job data is scoped to the companies your search matches, not the wider YC job board.
Does Y Combinator Scraper return data in a format LLMs can use directly?
Yes. Every record is typed, normalized JSON with consistent field names across runs β no HTML parsing or CSS selectors required. Pass it directly to an LLM's context window, index it into a vector store, or feed it to an agent tool.
What happens when Y Combinator changes its layout or anti-bot system?
The Actor's parsing logic is isolated in one module that's maintained to track YC's directory, and the output schema stays stable across those updates so downstream integrations don't break. No specific update turnaround is promised.
Can I use Y Combinator Scraper without managing proxies or browser infrastructure?
Yes. The Actor starts every run with no proxy and automatically escalates through Apify Proxy's datacenter and residential tiers only if Y Combinator rejects a request β you never have to configure or pay for proxies yourself unless you choose to force a specific tier.
Which Y Combinator fields work best for AI training data and RAG indexing?
For RAG, index long_description, short_description, and founders[].bio β the high-information free text fields. For training data, industry, subindustry, batch, and stage are the most consistently structured fields across every record, and every field is returned as a typed primitive (string, integer, boolean, or array) rather than raw HTML.
π Related scrapers
| Scraper | What it extracts |
|---|---|
| LinkedIn People Profile Scraper | Full LinkedIn profile data for any person, including YC founders |
| Twitter X Profile Viewer | Public X (Twitter) profile data for founders and companies |
| Website Content Crawler | Full text content crawled from a startup's own website |
| Greenhouse Job Scraper | Job listings from any company using the Greenhouse ATS |
| Ats Jobs API | Job listings aggregated across multiple applicant-tracking systems |
| Shopify Store Leads Scraper - Emails, Phones & Ratings | Business contact leads (emails, phones, ratings) from Shopify stores |
π Your feedback
Found a bug or missing a field? Open an issue on this Actor's Issues tab in Apify Console, or email dev.scraperengine@gmail.com β we read every report and it helps us keep the scraper in sync with Y Combinator's site.