# Wellfound startup job search (`data_dino/wellfound-jobs`) Actor

💰 $1.00 per 1000 results❗Search Wellfound (formerly AngelList) startup job listings by role, location, and remote preference, and collect structured job records with compensation, company, and posting details.

- **URL**: https://apify.com/data\_dino/wellfound-jobs.md
- **Developed by:** [Data Dino](https://apify.com/data_dino) (community)
- **Categories:** Jobs, Automation, Lead generation
- **Stats:** 2 total users, 1 monthly users, 83.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 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/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 startup job search

Search Wellfound (formerly AngelList) startup job listings by role, location, and remote preference, and collect structured job records with title, company, compensation, location, and posting details.

### Why use this actor?

- **Role-based search** — search by job title or keyword (e.g. `software engineer`, `data scientist`) and get matching startup jobs.
- **Location and remote filters** — narrow results by city or restrict to remote-only roles.
- **Compensation parsing** — each record carries a structured salary range with currency and interval (yearly/hourly) where the listing exposes it.
- **Company context** — every job links back to its company profile and logo.
- **Recency filter** — optionally keep only jobs posted within the last N hours.
- **Consistent dataset output** — every job follows the same predictable structure for easy export to JSON, CSV, or Excel.

### Input

`search` is required. All other fields are optional.

| Field | Type | Default | Description |
|---|---|---|---|
| `search` | string | `software engineer` | Role or keyword to search for. Omit to scrape the featured jobs carousel. |
| `location` | string | *(empty)* | City filter, e.g. `San Francisco, CA`. |
| `remote` | boolean | `false` | Restrict results to remote roles only. |
| `results` | integer | `15` | Maximum number of job results to return (minimum 1). |
| `offset` | integer | `0` | Number of results to skip for pagination. |
| `hoursOld` | integer | `0` | Only include jobs posted within this many hours. `0` = no filter. |
| `maxPages` | integer | `5` | Maximum search-result pages to crawl (minimum 1). |
| `proxy` | string | *(empty)* | Optional HTTP proxy URL. Leave empty to use the actor's default anti-bot proxy. |

#### Example input

```json
{
  "search": "software engineer",
  "location": "San Francisco, CA",
  "remote": true,
  "results": 15,
  "hoursOld": 168,
  "maxPages": 5
}
```

### Output

The actor pushes one dataset item per job. A representative result:

```json
{
  "id": "4574754",
  "title": "Software Engineer",
  "company_name": "Allara Health",
  "job_url": "https://wellfound.com/jobs/4574754-software-engineer",
  "location": "New York",
  "description": "Allara Health is a comprehensive women's health provider...",
  "company_url": "https://wellfound.com/company/allara",
  "company_logo": "https://photos.wellfound.com/startups/i/10245614-...-medium_jpg.jpg",
  "job_type": "fulltime",
  "interval": "yearly",
  "min_amount": 150000,
  "max_amount": 175000,
  "currency": "USD",
  "date_posted": "2026-08-11",
  "is_remote": false
}
```

Fields that the listing does not expose (for example a missing salary) are returned as `null` rather than invented.

### Limitations

- Wellfound (formerly AngelList) protects listings with an anti-bot system; results depend on what is publicly displayed at run time.
- Compensation is returned only when the listing shows a parseable salary; some jobs omit it.
- Salary range and posting-date fields can change as Wellfound updates its page structure.
- The actor is a search-based scraper, not a full directory crawler; it returns up to `results` jobs across at most `maxPages` pages.

Use the collected information in accordance with Wellfound's terms, applicable privacy requirements, and your organization's data-use policies.

# Actor input Schema

## `search` (type: `string`):

The role or keyword to search for, e.g. "software engineer", "data scientist", "product manager". Omit to scrape the featured jobs carousel instead of a specific role.

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

Location filter, e.g. "San Francisco, CA". Only the city portion is used to build the search URL. Leave empty for all locations.

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

Restrict results to remote roles only.

## `results` (type: `integer`):

Maximum number of job results to return.

## `offset` (type: `integer`):

Number of results to skip before returning jobs (for pagination).

## `hoursOld` (type: `integer`):

Only include jobs posted within this many hours. Leave empty for no time filter.

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

Maximum number of search-result pages to crawl. Higher values increase coverage but take longer.

## `proxy` (type: `string`):

Optional HTTP proxy URL (e.g. http://ip:port) to use for browser traffic. Leave empty to use the actor's default anti-bot proxy.

## Actor input object example

```json
{
  "search": "software engineer",
  "location": "San Francisco, CA",
  "remote": false,
  "results": 15,
  "offset": 0,
  "hoursOld": 0,
  "maxPages": 5,
  "proxy": ""
}
```

# Actor output Schema

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

Structured Wellfound job records collected during the run, including title, company, compensation, location, and posting details.

# 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 = {
    "search": "software engineer",
    "location": "San Francisco, CA",
    "proxy": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("data_dino/wellfound-jobs").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 = {
    "search": "software engineer",
    "location": "San Francisco, CA",
    "proxy": "",
}

# Run the Actor and wait for it to finish
run = client.actor("data_dino/wellfound-jobs").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 '{
  "search": "software engineer",
  "location": "San Francisco, CA",
  "proxy": ""
}' |
apify call data_dino/wellfound-jobs --silent --output-dataset

```

## MCP server setup

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

```

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/IfcUzdDAg4vAYOzKf/builds/Dfs40CwTJpnHHhnDD/openapi.json