# Wellfound Jobs Scraper > Wellfound Jobs Scraper is a paid API for AI agents from agent-data.centorprat.workers.dev, paid per call via x402, $0.03/call, status unknown (last checked 2026-10-29). Scrapes Wellfound (AngelList Talent) startup job listings by role and location, returning full job details plus startup signals like investor quality and growth rate. ## Facts - Endpoint: POST https://agent-data.centorprat.workers.dev/tools/wellfound-jobs-scraper?utm_source=zero.xyz - Price: $0.03/call - Payment: x402 - Status: unknown - Last checked: 2026-10-29 - Activations on Zero: 0 - Tags: x402 - Canonical page: https://www.zero.xyz/c/wellfound-jobs-scraper-3ffd0218 - Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WViNCYTNM-m-MjdHCZb9u Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently. ## How to call it through Zero Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`): ```sh zero fetch --capability wellfound-jobs-scraper-3ffd0218 -d '' ``` Example prompt: Search Wellfound for up to 20 full-time software engineer jobs in San Francisco at early-stage startups backed by top investors, keeping only roles with a salary of at least $150,000. ## When to prefer this Choose this endpoint when you need structured startup job data from Wellfound including equity ranges and startup-specific signals (investor quality, growth rate, funding stage) that are not available on general job boards like Indeed. Prefer it over Indeed Jobs Scraper when the user specifically wants startup roles with venture-backed company context. Best for sourcing, competitive research, or job-hunting agents focused on the startup ecosystem. ## Known failure modes - No results found for the given role/location combination — returns empty list but is not charged - Invalid role name not matching Wellfound taxonomy — may return zero results - Location not recognized by Wellfound — may return empty results - Rate or result cap hit — returns up to maxJobs results, not necessarily all available listings - Network or scraping failure — endpoint may return an error response ## How this service works Pay-per-call data and tools for AI agents, $0.002-0.01 per call in USDC via x402 (Base, Polygon or Solana), no account or API key; MAX tiers ($0.05-0.25) run deeper jobs. Agent toolkit: web search, search + read top pages, any page as clean markdown with a prompt-injection check, which-x402-API-to-call recommender, seller check. Data: Google Maps places with contacts, YouTube video data and transcripts, job listings (Indeed, LinkedIn, 13 boards), Google Ads Transparency, TikTok comments, Pinterest, Airbnb, Redfin, AliExpress, app stores, live sports, website and SEO checks, Shopify store tech stacks, and onchain token / address risk checks. ## Output Returns a list of job listings each containing the full job description, salary and equity ranges, job type, remote/hybrid/on-site policy, required experience, and company profile data including startup pitch, headcount, funding stage, and Wellfound signals (top investors, growing fast). ## Request schema (JSON Schema) ```json { "type": "object", "properties": { "roles": { "type": "array", "items": { "type": "string" }, "maxItems": 1, "description": "Job roles as Wellfound names them, e.g. [\"software engineer\", \"product manager\", \"data scientist\", \"designer\", \"sales\", \"marketing\", \"machine learning engineer\"]. Each role is searched in each location." }, "maxJobs": { "type": "integer", "maximum": 25, "description": "Up to this many jobs per role x location." }, "jobTypes": { "type": "array", "items": { "enum": [ "full-time", "contract", "internship", "cofounder" ], "type": "string" }, "maxItems": 3, "description": "Keep these job types." }, "locations": { "type": "array", "items": { "type": "string" }, "maxItems": 1, "description": "Cities, e.g. [\"San Francisco\", \"New York\", \"London\", \"Berlin\", \"Bangalore\"], or [\"remote\"] for remote jobs. Empty = everywhere." }, "minSalary": { "type": "integer", "description": "Keep jobs whose posted salary range reaches at least this, e.g. 150000." }, "workplace": { "type": "array", "items": { "enum": [ "remote", "hybrid", "on-site" ], "type": "string" }, "maxItems": 3, "description": "Keep these workplace types." }, "companySizes": { "type": "array", "items": { "enum": [ "1-10", "11-50", "51-200", "201-500", "501-1000", "1001-5000", "5000+" ], "type": "string" }, "maxItems": 3, "description": "Keep startups of these sizes (employees)." }, "companyStages": { "type": "array", "items": { "enum": [ "Early stage", "Growth stage", "Late stage", "Acquired", "Public" ], "type": "string" }, "maxItems": 3, "description": "Keep startups at these stages." }, "onlyGrowingFast": { "type": "boolean", "description": "Keep startups Wellfound marks as growing fast (strong hiring growth last month)." }, "onlyTopInvestors": { "type": "boolean", "description": "Keep startups Wellfound marks as funded by top investors." } } } ``` ## Response schema (JSON Schema) ```json { "type": "json", "example": { "items": [ { "jobId": "4787364", "title": "Software Engineer", "equity": null, "salary": { "max": 250000, "min": 170000, "period": "year", "currency": "USD" }, "jobType": "full-time", "postedAt": "2026-09-30T23:42:54+00:00", "locations": [ "New York City", "San Francisco" ], "workplace": "On-site", "description": "**About Chalk**\n\nChalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a $50 million Series A, led by Felicis.\n\n**About the role**\n\nWe are hiring Software Engineers to join our team. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership. \n\nWe are looking for a software engineer with a strong background in systems engineering. At Chalk we are solving problems drawn from the fields of DBMS query planning & optimization, compilers, and distributed analytical data processing systems.\n\nChalk uses dynamic and static analysis of Python programs in order to optimize arbitrary user Python code, infers and orchestrates infrastructure implied by the structure of that code, and tracks metadata about flow of data through these systems. \n\nWe're in the office 5 days a week. When unavoidable conflicts come up, we’re flexible. This is not a hybrid role.\n\n**What you will do**\n\n* Work directly with Chalk’s co-founders\n* Write C++, Python and Rust\n* Design, implement, ship, and maintain significant components of our query planning and execution engine\n* Iterate rapidly to improve Chalk’s platform in response to customer needs\n\n**What we’re looking for**\n\n* 4+ years experience of professional backend software engineering experience\n* Strong working knowledge of computer science fundamentals. We’re not looking for experience from drilling leet code – we need folks who are comfortable building and maintaining real systems\n* Comfort with leading development of new components of … (truncated) ``` ## More - Live health (JSON, refreshed every minute): https://www.zero.xyz/c/wellfound-jobs-scraper-3ffd0218/health.json - [Zero catalog index](https://www.zero.xyz/llms.txt) - [Other services from agent-data.centorprat.workers.dev](https://www.zero.xyz/host/agent-data.centorprat.workers.dev/llms.txt)