# Wellfound (AngelList) Jobs Scraper - Startup Jobs & Pay (`vaulted-apis/wellfound-jobs-scraper`) Actor

Scrape Wellfound startup jobs with pay parsed into numbers, full descriptions, company size and stage, and YC / top-investor / unicorn badges.

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

## Pricing

from $4.00 / 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.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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 (AngelList) Jobs Scraper — Startup Jobs & Pay

Scrape startup jobs from Wellfound with **pay parsed into numbers**, full job
descriptions, company size and funding stage, and investor badges.

Most Wellfound scrapers hand back `"$150k – $176k"` as a string and stop at the
job. This returns `payMin: 150000`, `payMax: 176000`, `payPeriod: "YEAR"` — and
attaches the company behind the job: how big it is, what stage it's at, whether
it's YC-funded, and which ATS it runs.

### What you get

| Field | Example |
|---|---|
| `title` / `roleTitle` | Senior Software Engineer / Software Engineer |
| `company`, `companySize` | Checkr, SIZE\_501\_1000 |
| `companyStage`, `companyPitch` | Scaling, "background checks using ML" |
| `ycFunded`, `topInvestors`, `unicorn` | true / true / false |
| `highlyRated`, `goodWorkLifeBalance` | employer-quality badges |
| `activelyHiring`, `quickResponder` | responsiveness signals |
| `compensation` | $150k – $176k |
| `payMin`, `payMax`, `payPeriod`, `payCurrency` | 150000, 176000, YEAR, USD |
| `payIsEquityOnly` | true where the offer is equity with no cash |
| `locations`, `remote`, `remoteLocations` | \["Denver","San Francisco"], false |
| `jobType`, `yearsExperienceMin` | full-time, 5 |
| **`atsSource`** | **greenhouse / lever / ashby** |
| `description` | the full posting, not a snippet |
| `postedAt`, `url`, `jobId` | ISO date, direct link, 4639821 |

Equity is handled properly: `"$130k – $210k • 0.05% – 0.2%"` yields the cash
range, and a listing quoted only in equity is flagged rather than parsed as a
salary of 0.05.

### Why the company data matters

Every listing carries its employer's stage, size and investor signals, so you
can filter to *YC-funded companies at Series B hiring senior engineers* in one
query. `atsSource` also tells you which applicant tracking system each company
runs — a hiring-tooling signal that isn't published anywhere else.

### Input

```json
{
  "roles": ["software-engineer", "product-manager"],
  "locations": ["united-states", "remote"],
  "maxItemsPerSearch": 500
}
```

Roles and locations are Wellfound slugs — `software-engineer`, `data-scientist`,
`designer`; `united-states`, `san-francisco`, `new-york`, `remote`. Every role is
searched in every location.

### Use cases

- Startup job aggregation and job boards
- Compensation benchmarking across funding stages
- Tracking which startups are hiring, and for what
- Finding YC-funded or top-investor-backed companies that are actively hiring
- Recruiting pipelines aimed at startups
- Feeding startup hiring data into an LLM or RAG pipeline

### Notes

- Reads Wellfound's own search data rather than parsing rendered HTML, so
  pagination works properly — the `/jobs` landing feed ignores `?page=` entirely
  and returns the same 50 listings however many pages you ask for
- \~46 jobs per page, roughly 28 pages deep for a broad role+location
- Adjacent pages overlap slightly on a live feed; listings are deduplicated by
  `jobId` across pages, roles and locations, so you are never charged twice for
  the same row
- `payMin` is null where a listing publishes no salary (roughly 1 in 16)
- `atsSource` is null where the company posts directly rather than through an ATS
- Public search pages only; no login is used

### Related

Part of **Vaulted** — hiring and reputation data APIs.

# Actor input Schema

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

Wellfound role slugs, e.g. "software-engineer", "product-manager", "data-scientist", "designer". Each is searched separately.

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

Wellfound location slugs, e.g. "united-states", "san-francisco", "new-york", "remote". Every role is searched in every location.

## `maxItemsPerSearch` (type: `integer`):

Wellfound returns about 46 jobs per page.

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

Safety cap on pages per role+location. Wellfound paginates about 28 pages deep for a broad search.

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

Residential proxies recommended. Wellfound serves plain HTTP fine, but sustained volume from one address will eventually be throttled.

## Actor input object example

```json
{
  "roles": [
    "software-engineer"
  ],
  "locations": [
    "united-states"
  ],
  "maxItemsPerSearch": 500,
  "maxPages": 30,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

No description

## `csv` (type: `string`):

No description

## `runStats` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "roles": [
        "software-engineer"
    ],
    "locations": [
        "united-states"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("vaulted-apis/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": ["united-states"],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("vaulted-apis/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": [
    "united-states"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call vaulted-apis/wellfound-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,vaulted-apis/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/Ebks5Z8QpuSWWdjDd/builds/218cITr5sUBB3rpKf/openapi.json
