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

Scrape Wellfound (formerly AngelList Talent) startup jobs with salary ranges, equity percentages, remote status, company size, markets and tagline. No login or cookies needed.

- **URL**: https://apify.com/scrapesage/wellfound-scraper.md
- **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community)
- **Categories:** Jobs, Lead generation, Agents
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Scraper - Startup Jobs, Salary & Equity

Scrape **Wellfound** (formerly **AngelList Talent**) startup jobs — with the two things most job scrapers can't give you: a **published salary range** and an **equity percentage**. **No login, no cookies.**

Built for recruiters, startup job boards, comp benchmarking and B2B lead lists of companies that are actively hiring.

***

### What you get

One row per job, every row carrying the same fields:

| Field | What it is |
|---|---|
| `title`, `jobUrl`, `jobId` | The role and its canonical link |
| `companyName`, `companySlug`, `companyUrl` | Who's hiring |
| `companySize` | e.g. `SIZE_201_500` |
| `companyTagline` | What the company actually does |
| `companyMarkets` | Wellfound's own badges — **Actively Hiring**, **Top 10% of responders**, stage and investor signals |
| `primaryLocation`, `locations` | Where the role sits |
| `isRemote`, `remoteDetail` | Remote status |
| `compensation` | Original string, e.g. `"$150k – $220k • 0.5% – 1.0%"` |
| `salaryMin`, `salaryMax`, `salaryCurrency` | **Parsed into numbers** so you can filter and chart |
| `equityMin`, `equityMax` | Equity percentage range |
| `jobType`, `experienceLevel` | Employment type and seniority |
| `postedAt` | ISO 8601 timestamp |
| `description` | Full role description |

### Filters

`onlyRemote` · `onlyWithSalary` · `minSalary` · `maxPagesPerRole` · `maxResults`

Filters run **inside** the crawl, so a filtered-out job never costs you anything.

***

### Example input

```json
{
  "roles": ["software-engineer", "product-manager"],
  "onlyWithSalary": true,
  "minSalary": 150000,
  "maxPagesPerRole": 3,
  "maxResults": 100,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
```

Role slugs are the ones Wellfound uses in its own URLs: `software-engineer`, `product-manager`, `designer`, `data-scientist`, `sales`, `marketing`.

### Example output

```json
{
  "type": "job",
  "title": "Senior Software Engineer",
  "companyName": "Clutch",
  "companySize": "SIZE_201_500",
  "companyTagline": "Reinventing Car Buying and Selling",
  "companyMarkets": ["Actively Hiring", "Top 10% of responders"],
  "primaryLocation": "Toronto",
  "isRemote": false,
  "compensation": "$160k – $200k",
  "salaryMin": 160000,
  "salaryMax": 200000,
  "salaryCurrency": "USD",
  "jobUrl": "https://wellfound.com/jobs/4538876-senior-software-engineer"
}
```

***

### Pricing

**$0.003 per job.** You are charged only for rows actually delivered to your dataset. A search that matches nothing costs **$0** and tells you why.

### Honest limits

- **Wellfound blocks a share of requests at random.** Measured across four different identities (browser headers, Googlebot, curl, UK egress): every one succeeded **5–6 times out of 8**, and the failures were clean 403s, not partial data. The actor retries on a fresh proxy session, which clears roughly 96% of pages — but the **residential proxy is required, not optional**.
- **Equity is published on a minority of postings** (~19% in a real sample). Salary is far more common (~90%). Both are left null when Wellfound has no value — never defaulted to 0.
- **Company pages and city-filtered job pages are 403 for logged-out clients**, so this actor works from the role feeds and the general jobs feed. The company data you get comes attached to each job, which is where it's useful anyway.

### Tips

- `onlyWithSalary: true` plus `minSalary` gives you a clean comp-benchmarking dataset in one run.
- `companyMarkets` containing **"Actively Hiring"** is a strong buying signal for B2B outreach.
- Dedupe on `jobId` when accumulating scheduled runs.

### Related actors

- **Y Combinator Scraper** — companies, founders and jobs
- **LinkedIn Jobs Scraper** — filter-based, no login
- **Multi-ATS Job Scraper** — Greenhouse, Lever, Ashby, Workday

# Actor input Schema

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

Wellfound role slugs to scrape, for example software-engineer, product-manager, data-scientist, designer, sales. Leave empty to take the general jobs feed.

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

Paste wellfound.com job or role URLs directly.

## `onlyRemote` (type: `boolean`):

Keep only roles Wellfound marks as remote.

## `onlyWithSalary` (type: `boolean`):

Keep only postings that publish a salary range. Wellfound is unusually good about this, but not every listing has one.

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

Drop jobs whose top-of-range salary is below this. 0 disables the filter.

## `maxPagesPerRole` (type: `integer`):

How deep to page for each role.

## `maxResults` (type: `integer`):

Total cap across every role. Set 0 for no limit (explicit opt-in).

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

A residential proxy is required - Wellfound blocks a share of requests, and the actor retries on a fresh session.

## Actor input object example

```json
{
  "roles": [
    "software-engineer",
    "product-manager"
  ],
  "onlyRemote": false,
  "onlyWithSalary": false,
  "minSalary": 0,
  "maxPagesPerRole": 3,
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Every scraped job as a JSON item in the default dataset.

# 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"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesage/wellfound-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"] }

# Run the Actor and wait for it to finish
run = client.actor("scrapesage/wellfound-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"
  ]
}' |
apify call scrapesage/wellfound-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesage/wellfound-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/AS2hxQnVHqgPnsOgI/builds/sBQ6hAqgyaQYyc7bK/openapi.json