# Wellfound Jobs Scraper — Startup Jobs, Salary & Equity (`youfuxu/wellfound-jobs-scraper`) Actor

Scrape Wellfound (formerly AngelList Talent) startup jobs by role, city or remote: salary and equity ranges as numbers, experience, remote policy, plus each startup's stage, size and badges.

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

## Pricing

from $2.00 / 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.

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 with salary & equity as numbers

Scrape startup jobs from **[Wellfound](https://wellfound.com)** (formerly AngelList Talent) by role, city or remote. Every job comes with its **salary range and equity range parsed into numbers**, years of experience, remote policy — and the startup behind it: stage, size, tagline and Wellfound badges such as *Top Investors* or *Responds within a week*.

No login, no browser. Search by role + location, or paste any Wellfound search URL.

### What you get

```json
{
  "jobId": "4787364",
  "title": "Software Engineer",
  "url": "https://wellfound.com/jobs/4787364-software-engineer",
  "jobType": "full-time",
  "locations": ["New York City", "San Francisco"],
  "remote": false,
  "remotePolicy": "ONSITE",
  "compensation": "$170k – $250k",
  "salaryMin": 170000,
  "salaryMax": 250000,
  "salaryCurrency": "USD",
  "equityMinPct": null,
  "equityMaxPct": null,
  "yearsExperienceMin": 4,
  "postedAt": "2026-09-30T23:42:54.000Z",
  "companyName": "Chalk",
  "companyUrl": "https://wellfound.com/company/chalk-ai",
  "companyTagline": "Building machine learning infrastructure to answer the world's hardest questions",
  "companySize": "51-200",
  "companyStage": "Early Stage",
  "companyBadges": ["Actively Hiring", "Top 10% of responders", "B2B", "Top Investors"],
  "description": "**About Chalk** …"
}
```

When a startup offers equity, the compensation string looks like `$100k – $165k • 1.0% – 3.0%` and comes back as `equityMinPct: 1`, `equityMaxPct: 3`.

In a test run on *software engineer, San Francisco*, **90% of jobs carried a salary range** and about 1 in 5 also listed equity — most Wellfound startups publish pay, which makes it one of the best public sources for startup compensation data.

### Who uses this

- **Job seekers & career coaches** — compare salary and equity offers across hundreds of startups in one spreadsheet
- **Recruiters & talent agencies** — find early-stage startups that are actively hiring, with team size and stage
- **Sales & lead generation** — startups hiring engineers or salespeople are buying tools; badges like *Top Investors* flag well-funded leads
- **Investors & analysts** — track which startups are growing headcount, in which roles and cities
- **Compensation benchmarking** — numeric salary and equity ranges by role, city and stage

### How to use

1. Enter a **role** (`software-engineer`, `product-manager`, `data-scientist`, `designer`, `sales` …) and optionally a **location** (`san-francisco`, `new-york`, `london`, `bangalore` …), or tick **Remote jobs only**
2. Or paste one or more **Wellfound search URLs**, e.g. `https://wellfound.com/role/l/software-engineer/san-francisco`, `https://wellfound.com/role/r/data-scientist`, `https://wellfound.com/location/new-york`
3. Set **Max pages** — each page lists 20 startups with their highlighted openings (about 40–55 jobs)
4. Run and download as JSON, CSV or Excel, or connect via API, schedules, Make, Zapier or n8n

### Notes

- Wellfound search pages show each startup's highlighted openings (usually 1–3 per startup per page), which is what this Actor collects. Duplicates across pages are removed.
- Turn off *Include full job description* for a lighter dataset.
- Runs work without a proxy. If you scrape many searches in a row, you can enable Apify Proxy in the input.

### Pricing

Pay per result: a small fee per job saved, plus a tiny start fee per run.

### More job data

- [ATS Jobs Scraper — Greenhouse, Lever & Ashby career pages](https://apify.com/youfuxu/ats-jobs-scraper)
- [All job scrapers by the same author](https://apify.com/youfuxu)

# Actor input Schema

## `role` (type: `string`):

Wellfound role, e.g. <code>software-engineer</code>, <code>product-manager</code>, <code>data-scientist</code>, <code>designer</code>, <code>marketing</code>, <code>sales</code>. Spaces are fine (<code>machine learning engineer</code>).

## `location` (type: `string`):

City, e.g. <code>san-francisco</code>, <code>new-york</code>, <code>london</code>, <code>bangalore</code>. Leave empty for all locations.

## `remote` (type: `boolean`):

Search Wellfound's remote listings for the role (location is ignored).

## `startUrls` (type: `array`):

Any Wellfound job search page, e.g. <code>https://wellfound.com/role/l/software-engineer/san-francisco</code>, <code>https://wellfound.com/role/r/data-scientist</code>, <code>https://wellfound.com/location/new-york</code>. Overrides role/location.

## `maxPages` (type: `integer`):

Each page lists 20 startups with their highlighted openings (about 40-55 jobs).

## `maxItems` (type: `integer`):

Stop after this many jobs in total.

## `includeDescription` (type: `boolean`):

Add the full job description (Markdown). Turn off for a lighter dataset.

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

Optional. Runs work without a proxy; enable Apify Proxy if you scrape many pages in a row.

## Actor input object example

```json
{
  "role": "software-engineer",
  "location": "",
  "remote": false,
  "maxPages": 3,
  "maxItems": 100,
  "includeDescription": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `datasetItemsJson` (type: `string`):

All scraped records as a JSON array.

## `datasetItemsCsv` (type: `string`):

All scraped records as a CSV file.

## `datasetItemsXlsx` (type: `string`):

All scraped records as an Excel workbook.

## `dataset` (type: `string`):

The default dataset of this run in Apify Console.

# 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 = {
    "role": "software-engineer",
    "maxItems": 100,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("youfuxu/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 = {
    "role": "software-engineer",
    "maxItems": 100,
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("youfuxu/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 '{
  "role": "software-engineer",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call youfuxu/wellfound-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,youfuxu/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/mUYjaI7xOgmqAXenJ/builds/I87nft2FR2cws6Vg2/openapi.json