# Wellfound (AngelList) Scraper - Startup Jobs, Salary & Equity (`thirdwatch/wellfound-jobs-scraper`) Actor Scrape Wellfound (formerly AngelList) job listings: titles, companies, locations, salaries, equity, descriptions. Uses Camoufox anti-detect browser to bypass DataDome + Cloudflare. Supports role-based and location-filtered searches. - **URL**: https://apify.com/thirdwatch/wellfound-jobs-scraper.md - **Developed by:** [Thirdwatch](https://apify.com/thirdwatch) (community) - **Categories:** Jobs - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 (AngelList) Scraper - Startup Jobs, Salary & Equity > Scrape Wellfound startup job listings. Get titles, companies, salaries, equity, and descriptions from the startup hiring platform. ### What you get Extract job listings from Wellfound (formerly AngelList) -- the go-to platform for startup hiring. Get job titles, company names, locations, salary ranges, equity information, and full descriptions. Filter by role and location. No login needed. ### Output fields | Field | Description | |-------|-------------| | `title` | Job title | | `company_name` | Startup name | | `company_slug` | Company URL slug on Wellfound | | `company_tagline` | Company tagline / high concept | | `location` | Job location | | `remote` | Whether the job is remote (true/false) | | `salary_min` | Minimum salary | | `salary_max` | Maximum salary | | `salary_currency` | Salary currency (USD, INR, GBP, EUR) | | `equity` | Equity range or "no equity" | | `company_size` | Company size | | `job_url` | Wellfound job URL | | `posted_date` | When the job was posted | | `description` | Full job description | ### Example output ```json { "title": "Senior Full Stack Engineer", "company_name": "Notion", "company_slug": "notion", "company_tagline": "The all-in-one workspace", "location": "San Francisco, CA", "remote": false, "salary_min": 160000, "salary_max": 220000, "salary_currency": "USD", "equity": "0.01% - 0.05% equity", "company_size": "201-500", "job_url": "https://wellfound.com/company/notion/jobs/12345-senior-full-stack-engineer", "posted_date": "2026-04-10T00:00:00.000Z", "description": "Join Notion's engineering team to build the next generation..." } ```` ### Input parameters | Parameter | Required | Description | |-----------|----------|-------------| | `roles` | Yes | Job roles to search (URL slugs). Examples: `software-engineer`, `data-scientist`, `product-manager`, `designer`, `marketing`. | | `locations` | No | Location filters (URL slugs). Examples: `india`, `remote`, `bangalore`, `new-york`, `london`. Use `remote` for remote jobs. Leave empty for all locations. | | `maxResults` | No | Max results (default: 50) | ### Use cases - **Startup job seekers**: Find jobs with salary and equity transparency - **Recruiters**: Track startup hiring trends and compensation - **Investors**: Monitor portfolio company hiring activity - **Market analysts**: Study startup employment and compensation trends - **Compensation benchmarking**: Compare salary and equity offers across startups ### Limitations - Wellfound focuses on startups and tech companies - Some listings may have limited salary/equity data - Job availability depends on Wellfound's current listings # Actor input Schema ## `roles` (type: `array`): Job roles to search (URL slugs). Examples: 'software-engineer', 'data-scientist', 'product-manager', 'designer', 'marketing'. ## `locations` (type: `array`): Location filters (URL slugs). Examples: 'india', 'remote', 'bangalore', 'new-york', 'london'. Use 'remote' for remote jobs. Leave empty for all locations. ## `maxResults` (type: `integer`): Maximum number of jobs to scrape across all role/location combinations. ## `proxyConfiguration` (type: `object`): anti-bot ## `datadomeCookie` (type: `string`): Optional session cookie to improve reliability. Open wellfound.com in your browser, copy the 'datadome' cookie from DevTools > Application > Cookies. Expires after ~30 minutes. ## Actor input object example ```json { "roles": [ "software-engineer" ], "locations": [ "india" ], "maxResults": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "datadomeCookie": "" } ``` # 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 = { "roles": [ "software-engineer" ], "locations": [ "india" ], "maxResults": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("thirdwatch/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 = { "roles": ["software-engineer"], "locations": ["india"], "maxResults": 50, } # Run the Actor and wait for it to finish run = client.actor("thirdwatch/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 '{ "roles": [ "software-engineer" ], "locations": [ "india" ], "maxResults": 50 }' | apify call thirdwatch/wellfound-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thirdwatch/wellfound-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wellfound (AngelList) Scraper - Startup Jobs, Salary & Equity", "description": "Scrape Wellfound (formerly AngelList) job listings: titles, companies, locations, salaries, equity, descriptions. Uses Camoufox anti-detect browser to bypass DataDome + Cloudflare. Supports role-based and location-filtered searches.", "version": "1.1", "x-build-id": "15z0RTdzImk1qge24" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thirdwatch~wellfound-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thirdwatch-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thirdwatch~wellfound-jobs-scraper/runs": { "post": { "operationId": "runs-sync-thirdwatch-wellfound-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thirdwatch~wellfound-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-thirdwatch-wellfound-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "roles" ], "properties": { "roles": { "title": "Roles", "type": "array", "description": "Job roles to search (URL slugs). Examples: 'software-engineer', 'data-scientist', 'product-manager', 'designer', 'marketing'.", "default": [ "software-engineer" ], "items": { "type": "string" } }, "locations": { "title": "Locations", "type": "array", "description": "Location filters (URL slugs). Examples: 'india', 'remote', 'bangalore', 'new-york', 'london'. Use 'remote' for remote jobs. Leave empty for all locations.", "default": [], "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of jobs to scrape across all role/location combinations.", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "anti-bot", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "datadomeCookie": { "title": "Session Cookie (optional)", "type": "string", "description": "Optional session cookie to improve reliability. Open wellfound.com in your browser, copy the 'datadome' cookie from DevTools > Application > Cookies. Expires after ~30 minutes.", "default": "" } } }, "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 } } } } } } } } } } ```