Y Combinator Jobs Scraper — Work at a Startup (1,000+ Jobs) avatar

Y Combinator Jobs Scraper — Work at a Startup (1,000+ Jobs)

Pricing

from $1.80 / 1,000 job results

Go to Apify Store
Y Combinator Jobs Scraper — Work at a Startup (1,000+ Jobs)

Y Combinator Jobs Scraper — Work at a Startup (1,000+ Jobs)

Scrape the whole Work at a Startup board — 1,000+ live YC jobs, not just engineering. Each posting carries parsed salary, equity, visa policy, skills, full description and the hiring company's profile (industry, website, team size, founders). Filter by YC batch, role, type or remote. No start fee.

Pricing

from $1.80 / 1,000 job results

Rating

0.0

(0)

Developer

Nomad Dev

Nomad Dev

Maintained by Community

Actor stats

0

Bookmarked

112

Total users

50

Monthly active users

17 days ago

Last modified

Share

Y Combinator Jobs Scraper — Work at a Startup

Fetch live openings at Y Combinator startups from Work at a Startup (workatastartup.com) as structured JSON.

Claude / Codex skill to describe and setup this actor: SKILL.md

Work at a Startup (workatastartup.com) is Y Combinator's official jobs marketplace, where current YC-backed companies post engineering, product, sales, design and operations roles. This Actor queries its public search API to find openings, then enriches each one from its public detail page — so every YC job comes back as a flat JSON record with structured salary, equity, visa, skills, full description and the hiring company's profile, without scraping HTML yourself or logging in.

What Y Combinator jobs data does this scraper extract?

Each result is one flat JSON record per job posting:

FieldMeaning
titleJob title as posted
companyHiring company / organisation
companySlugCompany's slug on Work at a Startup
companyBatchYC batch code (e.g. S23)
locationLocation / duty station (may include remote hints)
isRemotetrue when the location advertises a remote option
roleTypeRole category as tagged by the source (e.g. Machine learning)
jobTypeEmployment type, normalised (Full-time, Contract, Internship, Part-time)
salarySalary text exactly as published (e.g. $150K - $220K)
salaryMin / salaryMaxNumeric salary bounds parsed from the text (K expanded)
salaryCurrency / salaryPeriodISO currency (USD, INR, …) and period (year, month, …)
equityEquity range (e.g. 0.10% - 0.50%) — detail enrichment
visaSponsorshipVisa policy (e.g. Will sponsor) — detail enrichment
experienceMinimum experience (e.g. 3+ years) — detail enrichment
skillsSkill tags array (e.g. ["Figma", "Machine Learning"]) — detail enrichment
description / descriptionHtmlFull job description, plain text and HTML — detail enrichment
interviewProcess / interviewProcessHtmlFull interview process, plain text and source HTML — when published
companyTaglineCompany one-liner
companyDescription / companyDescriptionHtmlCompany hiring pitch — detail enrichment
companyTechDescription / companyTechDescriptionHtmlFull company technology narrative — when published
companyIndustryYC industry classification — detail enrichment
companyLogoCompany logo URL
companyWebsiteCompany website — detail enrichment
companyLocation / companyTeamSizeCompany HQ + headcount — detail enrichment
foundersFounder profiles (name, avatar, LinkedIn, past companies) — detail enrichment
customQuestionsSource-owned public application-question objects, preserved verbatim; [] means explicitly empty and null means the source omitted the collection
applyUrlWork at a Startup application link
urlDirect link to the posting
postedAtAlways null — the source exposes no per-listing posting date (see companyLastActiveAt)
snippetCompatibility body field: full available job/interview/company narrative, or a short fallback context when a detail page has no narrative
idStable source-side identifier
sourceFixed value "ycombinator_was"

Every returned row is detail-enriched. includeJobDetails remains an accepted legacy compatibility input, but false is intentionally ignored: a search card is not a complete job record.

Coverage — the whole board, not just engineering

Work at a Startup's public search endpoint returns a fixed, unpaginated result set per search term, so a scraper's coverage is decided entirely by how many terms it fans out across. This Actor sweeps 62 role, stack, function and seniority terms, then deduplicates by job ID:

  • The source response size and deduplicated job count are live values, not a promise. A full Actor run additionally requires a successful detail page with a non-empty job description.
  • Every role family the board tags — not just engineering. Sales, marketing, design, recruiting, finance, operations, QA, hardware and embedded roles are all reachable.
  • Every returned job is detail-enriched (descriptions, skills, equity, visa, founders), fetched concurrently rather than one at a time.

Set maxItems to cap the run — it stops fanning out as soon as the cap is met and only touches the first few search terms. Runtime depends on current source latency and detail-page availability.

How to scrape Y Combinator jobs with this Actor

  1. Click Try for free / Run — no login to the target site, no cookies, no proxies to configure.
  2. Adjust the input (keyword, filters, maxItems) or keep the defaults.
  3. Run it and export the dataset as JSON, CSV or Excel, or read it over the API.

Run it from your own code:

from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("nomad-agent/ycombinator-was-scraper").call(run_input={"maxItems": 50})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["title"], "—", item["company"], item["url"])

Or a single HTTP call that runs the Actor and returns items in one response:

curl -X POST \
"https://api.apify.com/v2/acts/nomad-agent~ycombinator-was-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
-H "Content-Type: application/json" \
-d '{"maxItems": 50}'

Integrations

Chain this Actor with Zapier, Make, Slack, Airtable and Google Sheets via Apify's built-in integrations, schedule recurring runs with the Apify Scheduler, or pull results straight into your own pipeline with the Apify API.

Input

FieldTypeDefaultNotes
queriesarray(built-in set)Role-specific search terms to fan out across; each fetches an independent page, merged and deduplicated by job ID.
includeJobDetailsbooleantrueDeprecated compatibility input. The Actor always fetches the detail page and drops incomplete stubs; false is ignored.
titleExcludearray[]Skip postings whose title contains any of these terms (case-insensitive).
jobTypesarray[]Keep only these employment types (Full-time, Contract, Internship, Part-time).
companyBatchesarray[]Keep only these YC batches (e.g. S23, W24).
roleTypesarray[]Keep only role categories containing these terms (e.g. machine learning, frontend).
remoteOnlybooleanfalseKeep only postings whose location advertises a remote option.
maxItemsinteger50Max unique postings to return. Set 0 for no limit.
cacheTtlSecondsinteger1800Cache upstream fetches (search + detail) for this many seconds; re-runs within the window skip the network. 0 disables.
analyticsEnabled (Privacy)booleanfalseOpt in to privacy-safe aggregate debug analytics sent to the Actor creator's Netcup receiver. No caller IDs, searches, filters, records, URLs, source text, raw errors or credentials are sent.

Output example

{
"id": "73211",
"title": "Founding Engineer",
"company": "Lindy",
"companySlug": "lindy",
"companyBatch": "S23",
"location": "San Francisco, CA, US / Remote (US)",
"isRemote": true,
"roleType": "Machine learning",
"jobType": "Full-time",
"salary": "$150K - $220K",
"salaryMin": 150000,
"salaryMax": 220000,
"salaryCurrency": "USD",
"salaryPeriod": "year",
"equity": "0.10% - 0.50%",
"visaSponsorship": "Will sponsor",
"experience": "3+ years",
"skills": ["Python", "Machine Learning"],
"description": "We're building an AI executive assistant…",
"descriptionHtml": "<p>We're building an AI executive assistant…</p>",
"companyTagline": "AI executive assistant for busy professionals.",
"companyIndustry": "B2B -> Engineering, Product and Design",
"companyLogo": "https://bookface-images.s3.amazonaws.com/small_logos/…png",
"companyWebsite": "https://www.lindy.ai/",
"companyTeamSize": 25,
"founders": [{"name": "Flo Crivello", "linkedin": "https://www.linkedin.com/in/…"}],
"applyUrl": "https://www.workatastartup.com/jobs/73211",
"postedAt": null,
"url": "https://www.workatastartup.com/jobs/73211",
"source": "ycombinator_was"
}

postedAt is always null — neither the Work at a Startup search API nor the detail page exposes a per-listing posting date. companyLastActiveAt is included as a company-level freshness proxy where the source provides it.

Pricing

Check the Actor's Apify Store page for the current price and billing model before running it. Store pricing and plan discounts can change; the Actor itself has no separate input-based surcharge.

Use cases

  • Startup job boards and newsletters
  • Tracking YC-company hiring by batch
  • Sourcing candidates who want startup roles
  • VC portfolio talent intelligence

FAQ

Is it legal to scrape Y Combinator jobs? This Actor reads only publicly available job postings — data any visitor can see without logging in. No personal data behind authentication is touched. Review the target site's terms and your local regulations for your specific use case.

Do I need an account on the target site? No. Postings are fetched from public pages/APIs — no login, cookies or session tokens.

How fresh is the data? Every run fetches live listings. Results are cached for cacheTtlSeconds (default 30 min, set 0 to always hit the source live).

How many jobs can I get? maxItems caps the run (set 0 for no cap). The Work at a Startup search endpoint returns a fixed, unpaginated result set per query, so coverage is widened by fanning out across more queries terms, not by raising maxItems.

Does it cover every YC batch? Yes — results span all companies currently posting on Work at a Startup, across every batch. Use queries to target roles, companyBatches / roleTypes / jobTypes / remoteOnly to filter, and titleExclude to drop titles you don't want.

Something broken or missing? Open an issue on the Actor's Issues tab — it is monitored and reliability fixes ship fast.

Is this Actor useful to you? A quick ⭐ review on the Actor's Reviews tab helps other startup-job hunters find it — and tells us what to build next.


From the maker of Oink — an open-source, AI-powered job-search bot for Telegram that runs on these Actors. Try the free bot, get a managed instance at oinkjobsearch.com, or browse the full catalog of 50+ Actors.