# Wellfound Jobs Scraper - Startup Jobs, Salary, Equity, Stage (`centorprat/wellfound-jobs-scraper`) Actor

Scrape Wellfound (AngelList Talent) startup jobs by role and city or remote: full description, salary and equity ranges, job type, remote policy, experience, plus startup pitch, size, stage and signals (top investors, growing fast). No login.

- **URL**: https://apify.com/centorprat/wellfound-jobs-scraper.md
- **Developed by:** [Centor Prat](https://apify.com/centorprat) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.02 / 1,000 jobs

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 🚀 Wellfound Jobs Scraper - Startup Jobs, Salary, Equity, Stage

**Scrape startup jobs from Wellfound (formerly AngelList Talent)** by role and city, or remote. One row per job with the
full description, **salary range**, **equity range**, job type, remote policy, locations, years of experience and posted
date, plus the **startup behind it**: name, one-line pitch, company size, logo, **company stage** (early / growth / late)
and Wellfound's signals: **backed by top investors**, **growing fast**, actively hiring, responds quickly. No login.

What we add on top:

- **Parsed salary and equity**: `$130k – $210k • 0.05% – 0.2%` becomes `salary.min/max` and `equity.minPercent/maxPercent` (k, M and Indian lakh amounts handled).
- **Startup filters** Wellfound's own search doesn't have: company stage, size, top investors only, fast-growing only, minimum salary.
- **Department**, **seniority class** and **tech stack** mentioned in the description.

### 📥 Input

| Field | Meaning |
|---|---|
| `roles` | e.g. `["software engineer", "product manager", "data scientist", "sales"]` |
| `locations` | e.g. `["San Francisco", "New York", "London"]` or `["remote"]`; empty = everywhere |
| `maxJobs` | Per role x location |
| `jobTypes`, `workplace`, `minSalary` | Job filters |
| `companySizes`, `companyStages`, `onlyTopInvestors`, `onlyGrowingFast` | Startup filters |

```json
{ "roles": ["machine learning engineer"], "locations": ["remote", "New York"], "companyStages": ["Early stage"], "onlyTopInvestors": true, "maxJobs": 200 }
```

### 📤 Output (one job, shortened)

```json
{
  "title": "Software Engineer", "jobType": "full-time", "workplace": "On-site", "locations": ["San Francisco"],
  "compensation": "$130k – $210k • 0.05% – 0.2%",
  "salary": {"min": 130000, "max": 210000, "currency": "USD", "period": "year"}, "equity": {"minPercent": 0.05, "maxPercent": 0.2},
  "yearsExperienceMin": 3, "postedAt": "2026-08-21T16:30:58+00:00",
  "company": "Agave API", "companyPitch": "...", "companySize": "11-50", "companyStage": "Early stage",
  "hasTopInvestors": true, "isGrowingFast": false, "techStack": {"languages": ["python", "typescript"]},
  "url": "https://wellfound.com/jobs/..."
}
```

### 💡 Uses

- **Job seekers and newsletters**: well-funded startups hiring now, with pay and equity up front.
- **Recruiters and agencies**: startups scaling a team (growing fast, top investors) = clients who need hires.
- **B2B sales to startups**: who is hiring engineers, sales or marketing = who is about to buy tools for them.
- **VC / market research**: hiring by stage, role and city; compensation and equity benchmarks.

### 💰 Pricing

Pay per job returned (`job` event). Empty searches and filtered-out jobs are free.

### 🤖 API / agents

```bash
curl -X POST "https://api.apify.com/v2/acts/centorprat~wellfound-jobs-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
     -H "Content-Type: application/json" -d '{"roles": ["product manager"], "locations": ["remote"], "maxJobs": 20}'
```

MCP: `https://mcp.apify.com/?tools=actors,docs,centorprat/wellfound-jobs-scraper`

### ❓ FAQ

- **Login needed?** No. Public Wellfound role and location pages.
- **All of a startup's jobs?** Wellfound's search shows each startup's top matching jobs; use several roles to cover more.

### 🔗 Related actors

- [Company Jobs Scraper](https://apify.com/centorprat/company-hiring-monitor): every open job at a company, from its careers site.
- [Indeed Jobs Scraper](https://apify.com/centorprat/indeed-jobs-scraper): Indeed in 35 countries with company data.
- [LinkedIn Jobs Scraper](https://apify.com/centorprat/linkedin-jobs-scraper): LinkedIn job listings with full details.

# Actor input Schema

## `roles` (type: `array`):

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.

## `locations` (type: `array`):

Cities, e.g. \["San Francisco", "New York", "London", "Berlin", "Bangalore"], or \["remote"] for remote jobs. Empty = everywhere.

## `maxJobs` (type: `integer`):

Up to this many jobs per role x location.

## `jobTypes` (type: `array`):

Keep these job types.

## `workplace` (type: `array`):

Keep these workplace types.

## `minSalary` (type: `integer`):

Keep jobs whose posted salary range reaches at least this, e.g. 150000.

## `companySizes` (type: `array`):

Keep startups of these sizes (employees).

## `companyStages` (type: `array`):

Keep startups at these stages.

## `onlyTopInvestors` (type: `boolean`):

Keep startups Wellfound marks as funded by top investors.

## `onlyGrowingFast` (type: `boolean`):

Keep startups Wellfound marks as growing fast (strong hiring growth last month).

## `proxyConfiguration` (type: `object`):

For very large runs: route through Apify Proxy (uses your proxy plan) if Wellfound starts rate-limiting.

## Actor input object example

```json
{
  "roles": [
    "software engineer"
  ],
  "locations": [
    "San Francisco"
  ],
  "maxJobs": 10,
  "onlyTopInvestors": false,
  "onlyGrowingFast": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `jobs` (type: `string`):

One row per Wellfound job: title, role, job type, workplace, locations, salary and equity ranges, experience, posted date, description, startup name/pitch/size/stage/badges, department, 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "roles": [
        "software engineer"
    ],
    "locations": [
        "San Francisco"
    ],
    "maxJobs": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("centorprat/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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "roles": ["software engineer"],
    "locations": ["San Francisco"],
    "maxJobs": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("centorprat/wellfound-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": [
    "San Francisco"
  ],
  "maxJobs": 10
}' |
apify call centorprat/wellfound-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,centorprat/wellfound-jobs-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/6mro4ff2rR2wHvBtF/builds/Cn5XA8ld3j1AZDgbw/openapi.json