# Wellfound Jobs Scraper (`cryptosignals/wellfound-jobs-scraper`) Actor Scrape Wellfound (AngelList) startup job listings - titles, salaries, equity, remote flags, company data and apply URLs. No API key needed. Perfect for job market research, recruiter intelligence, and startup hiring analysis. - **URL**: https://apify.com/cryptosignals/wellfound-jobs-scraper.md - **Developed by:** [Web Data Labs](https://apify.com/cryptosignals) (community) - **Categories:** Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 **Wellfound (AngelList)** startup job listings without an API. Get job titles, salaries, equity ranges, remote flags, company data, and apply URLs. Perfect for job market research, recruiting intelligence, and startup hiring analysis. ### What It Does Wellfound is the leading platform for startup jobs. This scraper extracts: - **Job title** and **company name** - **Salary range** (e.g., `$120,000 - $180,000/yr`) - **Equity range** (e.g., `0.5% - 2.0%`) - **Location** and **remote flag** - **Tags / skills** (e.g., Python, React, Machine Learning) - **Posted date** - **Apply URL** — direct link to apply on Wellfound - **Job description snippet** ### Use Cases - **Job market research** — track salary and equity trends at startups - **Recruiting intelligence** — monitor competitor hiring, identify talent demand - **Job aggregators** — build job boards targeting startup/tech talent - **Salary benchmarking** — compare compensation across roles and companies - **Remote job discovery** — filter for fully remote startup opportunities ### How to Use #### Basic Search Set your keywords and let it run: ```json { "keywords": "software engineer", "location": "San Francisco", "maxJobs": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` #### Remote Jobs Only ```json { "keywords": "python developer", "remote": true, "maxJobs": 200, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` #### Example Output ```json { "title": "Senior Software Engineer", "company": "Acme AI", "companyUrl": "https://wellfound.com/company/acme-ai", "location": "San Francisco, CA", "remote": false, "salary": "$150,000 - $200,000/yr", "equity": "0.1% - 0.5%", "tags": ["Python", "Machine Learning", "AWS"], "jobUrl": "https://wellfound.com/jobs/acme-ai/senior-software-engineer", "description": "We're looking for a senior engineer to lead our ML infrastructure...", "postedDate": "2026-04-10T12:00:00Z", "source": "Wellfound" } ``` ### Proxy Requirements Wellfound uses **DataDome** + **Cloudflare** bot protection. **Residential proxies are required** for reliable results. The actor is pre-configured to use Apify Residential proxies — just leave the proxy setting at its default. ### Pricing This actor uses **pay-per-result** pricing: you are charged per job listing scraped (`$0.05/job`). You only pay for actual results. ### Tips - Use **specific keywords** for better targeting (e.g., `"machine learning engineer"` vs. `"engineer"`) - **Remote filter** narrows results to remote-friendly positions - Start with **maxJobs: 50** to test before running large batches - If you need equity data specifically, Wellfound is the best source — most listings include equity ranges ### Support If you encounter issues, try: 1. Ensure residential proxies are enabled 2. Reduce `maxJobs` to 25 for initial testing 3. Leave a review — it helps other users find this scraper! # Actor input Schema ## `keywords` (type: `string`): Job search keywords (e.g., 'software engineer', 'data scientist', 'product manager', 'frontend developer'). ## `location` (type: `string`): Job location (e.g., 'San Francisco', 'New York', 'London'). Leave empty for all locations. ## `remote` (type: `boolean`): Filter to remote jobs only. ## `maxJobs` (type: `integer`): Maximum number of job listings to scrape (1-500). ## `proxyConfiguration` (type: `object`): Wellfound uses DataDome + Cloudflare bot protection. Residential proxies are REQUIRED for reliable results. ## Actor input object example ```json { "keywords": "software engineer", "location": "", "remote": false, "maxJobs": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): No description # 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": "", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("cryptosignals/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": "", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("cryptosignals/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": "", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call cryptosignals/wellfound-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=cryptosignals/wellfound-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wellfound Jobs Scraper", "description": "Scrape Wellfound (AngelList) startup job listings - titles, salaries, equity, remote flags, company data and apply URLs. No API key needed. Perfect for job market research, recruiter intelligence, and startup hiring analysis.", "version": "0.0", "x-build-id": "cSfw0FbaObS9bxXLc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/cryptosignals~wellfound-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-cryptosignals-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/cryptosignals~wellfound-jobs-scraper/runs": { "post": { "operationId": "runs-sync-cryptosignals-wellfound-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/cryptosignals~wellfound-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-cryptosignals-wellfound-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Search Keywords", "type": "string", "description": "Job search keywords (e.g., 'software engineer', 'data scientist', 'product manager', 'frontend developer').", "default": "software engineer" }, "location": { "title": "Location", "type": "string", "description": "Job location (e.g., 'San Francisco', 'New York', 'London'). Leave empty for all locations.", "default": "" }, "remote": { "title": "Remote Only", "type": "boolean", "description": "Filter to remote jobs only.", "default": false }, "maxJobs": { "title": "Maximum Jobs", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of job listings to scrape (1-500).", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Wellfound uses DataDome + Cloudflare bot protection. Residential proxies are REQUIRED for reliable results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```