Wellfound (formerly AngelList Talent) is the dominant job marketplace for startup employment, connecting hundreds of thousands of candidates with early-stage and growth-stage startups worldwide. Unlike mainstream job boards, Wellfound listings include startup-specific data points that are unavailable elsewhere: equity compensation ranges, company funding stage, total funding raised, investor backing, and team size. This makes Wellfound an exceptionally rich source of structured startup intelligence that goes far beyond standard job market data.
For researchers tracking the startup ecosystem, investors building deal flow pipelines, recruiting firms focused on high-growth companies, and compensation consultants specializing in startup equity, Wellfound represents a dataset with no direct equivalent. The platform does not offer a public API for bulk data access, making a scraping approach the only practical path to programmatic access at scale.
Wellfound is a React single-page application with significant anti-automation infrastructure. The platform requires authentication for full access to many listing details, including direct application links, full compensation data, and company contact information. Anonymous browsing surfaces only partial data, and the authentication layer involves session token management that breaks standard scraping setups.
The equity data challenge: The most valuable fields on Wellfound — equity percentage ranges, vesting schedules, cliff periods, and funding details — are often gated behind authentication or rendered progressively as users interact with the page. Simple static extraction captures only a fraction of the available data. Full extraction requires handling dynamic page interactions, authentication state, and in some cases progressive data loading that only triggers after specific user behaviors. Most general-purpose scraping tools miss 30–50% of the structured data that makes Wellfound valuable for compensation research.
Search and filtering functionality on Wellfound relies on URL parameters and internal API calls that are not stable across platform updates. Filters for stage, market, role type, and remote status interact in ways that produce different internal query structures depending on combinations selected. Scraping filtered subsets — for example, “Series B SaaS companies hiring senior engineers remotely” — requires understanding and replicating this filter interaction logic reliably.
Wellfound also applies rate limiting at both IP and session levels, and Cloudflare protects the platform at the edge. Data center traffic is heavily filtered, and scraping sessions that make requests at machine speed rather than human-browsing speed are quickly identified and blocked. Production collection requires both residential proxy infrastructure and request pacing that mimics organic user behavior.
We maintain a Wellfound Jobs Scraper on Apify that handles authentication, dynamic content extraction, equity data collection, and company detail enrichment. You configure your search parameters; it returns structured startup job data including the equity and company intelligence that makes Wellfound uniquely valuable.
Search by role and startup stage:
{
"searchQuery": "product manager",
"stage": ["series_a", "series_b"],
"remote": true,
"maxResults": 200
}Or filter by market vertical and location:
{
"searchQuery": "software engineer",
"market": "fintech",
"location": "San Francisco Bay Area",
"jobType": "full_time",
"minTeamSize": 10,
"maxTeamSize": 100,
"maxResults": 500
}Each job listing returns a structured object:
{
"jobId": "wf_4892031",
"title": "Senior Product Manager",
"company": "FinFlow",
"companyId": "finflow",
"companyUrl": "https://wellfound.com/company/finflow",
"location": "San Francisco, CA",
"remote": true,
"salaryMin": 140000,
"salaryMax": 185000,
"equityMin": 0.1,
"equityMax": 0.5,
"equityUnit": "percent",
"vestingYears": 4,
"cliffMonths": 12,
"jobType": "Full-time",
"stage": "Series B",
"totalFunding": "$42M",
"investors": ["Sequoia Capital", "Index Ventures"],
"teamSize": 45,
"markets": ["Fintech", "Payments", "B2B SaaS"],
"description": "We are building the next generation of financial infrastructure for SMBs...",
"skills": ["Product strategy", "Data analysis", "Stakeholder management", "B2B SaaS"],
"datePosted": "2026-04-20",
"applicationUrl": "https://wellfound.com/jobs/...",
"url": "https://wellfound.com/jobs/finflow-senior-product-manager"
}| Field | Type | Description |
|---|---|---|
title | string | Job title |
company | string | Startup name |
stage | string | Funding stage (Seed, Series A, B, C, etc.) |
totalFunding | string | Total capital raised |
investors | array | Named investors and funds |
salaryMin / salaryMax | integer | Annual salary range in USD |
equityMin / equityMax | float | Equity percentage range |
vestingYears | integer | Standard vesting period in years |
cliffMonths | integer | Cliff period before first vest |
teamSize | integer | Current headcount |
markets | array | Industry verticals the company operates in |
skills | array | Required skills extracted from description |
datePosted | string | Date listing was published |
Output is available as JSON, CSV, or XLSX. Scheduled runs on Apify let you monitor Wellfound continuously — tracking new listings from specific companies, alerting when a company enters a hiring surge, or building longitudinal datasets of startup compensation trends.
The actor uses Pay Per Event pricing at $0.01 per job listing.
| Volume | Cost |
|---|---|
| 100 listings | $1.00 |
| 500 listings | $5.00 |
| 1,000 listings | $10.00 |
| Monthly ecosystem scan (2,000 listings) | $20.00/month |
Wellfound Startup Jobs Scraper on Apify →
Apify has a free tier for testing. Sign up here if you do not have an account. The actor integrates with Apify’s scheduling, webhook, and dataset APIs so you can automate startup ecosystem monitoring without managing any infrastructure.