# Wellfound (AngelList) Jobs Scraper (`gio21/wellfound-jobs-scraper`) Actor Scrape startup job listings from Wellfound (formerly AngelList Talent). Salary, equity, funding stage, team size, tech stack and company metadata. Pay per job. - **URL**: https://apify.com/gio21/wellfound-jobs-scraper.md - **Developed by:** [Gio](https://apify.com/gio21) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $3.00 / 1,000 job scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Wellfound Jobs Scraper 🚀 Scrape **startup job listings** from **Wellfound** (formerly AngelList Talent) — the #1 source for startup jobs worldwide. Equity-included comp data, funding-stage, team size, and startup signals you won't find on Indeed or LinkedIn. ### What it does Search roles by keyword + location + remote/equity filters and get structured job data with **startup context**: - **Role**: title, description, seniority, employment type, work mode (remote/hybrid/onsite) - **Compensation**: salary range, **equity range**, currency, hiring bonus - **Location**: cities, countries, time-zone overlap requirement - **Tech stack** and skills required - **Company**: name, logo, website, **funding stage** (Seed, Series A…), **team size**, **industry**, year founded - **Hiring contact**: role, name (when public) - **Posted date**, **apply URL** and **jobId** ### Why this scraper? Wellfound has **zero direct competitors on Apify Store** — and startup-recruiting is a premium niche with high willingness-to-pay: - 🎯 **Equity data** — No other job board exposes this structured - 💸 **Funding stage** on every listing — critical for candidates evaluating startups - 🧑‍💻 **Technical-heavy roles** — engineering, product, design, growth, AI/ML dominate - 🌍 Global coverage, remote-first bias ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `keywords` | string | `software engineer` | Role keyword | | `location` | string | `` | Location filter (e.g. `San Francisco`, `Remote`, `Europe`) | | `remote` | boolean | `false` | Only remote-eligible roles | | `maxJobs` | integer | `50` | Max jobs to return | | `maxPages` | integer | `5` | Max result pages | | `fundingStage` | array | `[]` | Filter by stages: `seed`, `series-a`, `series-b`, `series-c`, `public` | ### Output ```json { "jobId": "2543210", "title": "Senior Backend Engineer", "seniority": "Senior", "employmentType": "Full-time", "workMode": "Remote", "salaryMin": 140000, "salaryMax": 180000, "equityMin": 0.10, "equityMax": 0.50, "currency": "USD", "locations": ["San Francisco", "Remote (US)"], "skills": ["Go", "PostgreSQL", "AWS", "Kubernetes"], "description": "We're building the future of...", "postedAt": "2026-04-18", "company": { "name": "Acme Labs", "slug": "acme-labs", "website": "https://acmelabs.com", "fundingStage": "Series A", "teamSize": "11-50", "industry": "Developer Tools", "foundedYear": 2022, "logo": "https://photos.wellfound.com/..." }, "hiringContact": { "name": "Alice Chen", "title": "Head of Engineering" }, "applyUrl": "https://wellfound.com/jobs/2543210", "url": "https://wellfound.com/jobs/2543210" } ```` ### Pricing Pay-per-event: **$0.005 per job** ($5 per 1,000 jobs). Free users: up to 15 jobs per run. ### Use cases - **Startup recruiting** — Automated sourcing pipelines for tech recruiters - **Candidate research** — Track equity and funding-stage trends for career moves - **Investor intel** — Signal companies hiring aggressively = growth signals - **Market intelligence** — Tech stack adoption trends in early-stage startups - **Job board aggregation** — Feed niche startup-job boards - **Compensation benchmarking** — Build cash+equity comp datasets for ecosystems # Actor input Schema ## `keywords` (type: `string`): Search keyword for the role (e.g. software engineer, product manager, designer) ## `location` (type: `string`): Optional location filter (e.g. San Francisco, New York, Remote, Europe) ## `remote` (type: `boolean`): Return only remote-eligible roles ## `fundingStage` (type: `array`): Restrict to companies at these funding stages ## `maxJobs` (type: `integer`): Maximum number of jobs to return. Each job costs $0.005. Capped at 500 per run to prevent runaway cost. ## `maxPages` (type: `integer`): Maximum number of search result pages to scrape. ## Actor input object example ```json { "keywords": "software engineer", "remote": false, "fundingStage": [], "maxJobs": 20, "maxPages": 3 } ``` # Actor output Schema ## `results` (type: `string`): Startup job postings with salary, equity, funding stage, team size and tech stack. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": "software engineer", "location": "", "maxJobs": 20, "maxPages": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("gio21/wellfound-jobs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keywords": "software engineer", "location": "", "maxJobs": 20, "maxPages": 3, } # Run the Actor and wait for it to finish run = client.actor("gio21/wellfound-jobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": "software engineer", "location": "", "maxJobs": 20, "maxPages": 3 }' | apify call gio21/wellfound-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gio21/wellfound-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wellfound (AngelList) Jobs Scraper", "description": "Scrape startup job listings from Wellfound (formerly AngelList Talent). Salary, equity, funding stage, team size, tech stack and company metadata. Pay per job.", "version": "0.0", "x-build-id": "TglXtVgyXDdsdWlys" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gio21~wellfound-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gio21-wellfound-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gio21~wellfound-jobs-scraper/runs": { "post": { "operationId": "runs-sync-gio21-wellfound-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gio21~wellfound-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-gio21-wellfound-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "keywords" ], "properties": { "keywords": { "title": "Role keyword", "type": "string", "description": "Search keyword for the role (e.g. software engineer, product manager, designer)", "default": "software engineer" }, "location": { "title": "Location", "type": "string", "description": "Optional location filter (e.g. San Francisco, New York, Remote, Europe)" }, "remote": { "title": "Remote only", "type": "boolean", "description": "Return only remote-eligible roles", "default": false }, "fundingStage": { "title": "Funding stage filter", "type": "array", "description": "Restrict to companies at these funding stages", "items": { "type": "string", "enum": [ "seed", "series-a", "series-b", "series-c", "public" ] }, "default": [] }, "maxJobs": { "title": "Max jobs", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of jobs to return. Each job costs $0.005. Capped at 500 per run to prevent runaway cost.", "default": 50 }, "maxPages": { "title": "Max pages", "minimum": 1, "maximum": 15, "type": "integer", "description": "Maximum number of search result pages to scrape.", "default": 5 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```