# Wellfound Jobs Scraper (`fetch_cat/wellfound-jobs-scraper`) Actor

Export public Wellfound startup job listings by role, location, or company page with company, compensation, remote, description, and source URL fields.

- **URL**: https://apify.com/fetch\_cat/wellfound-jobs-scraper.md
- **Developed by:** [Hanna Nosova](https://apify.com/fetch_cat) (community)
- **Categories:** Jobs, Business
- **Stats:** 4 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.40 / 1,000 item processeds

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?

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 Jobs Scraper

Export public startup job listings into a structured dataset for recruiting research, talent-market tracking, and job discovery. This **Wellfound Jobs Scraper** accepts a role, optional location, or specific public company job pages and returns deduplicated job records with source-page provenance.

It is also a practical **Wellfound scraper** for recurring job-market workflows: schedule a search, export results to a spreadsheet, or call it from your application. The Actor only handles public job-listing information; it does not apply to jobs, access candidate profiles, or require a personal session.

### Ready-to-run examples

Open a public example to inspect its input, run it, or reuse it as a task:

- [Export Wellfound Software Engineer Jobs](https://apify.com/fetch_cat/wellfound-jobs-scraper/examples/wellfound-software-engineer-jobs)

```json
{
  "role": "software-engineer",
  "location": "new-york",
  "maxItems": 20,
  "includeDescription": true
}
```

For a company-first workflow, provide one or more public Wellfound company URLs instead of a role search:

```json
{
  "companyUrls": ["https://wellfound.com/company/example/jobs"],
  "maxItems": 20,
  "includeDescription": true
}
```

### What you get

Each dataset row is a public job listing. The output is useful for an **Angel.co jobs scraper** migration or a **startup jobs scraper** workflow because it includes both normalized job values and the page/search URL that produced them.

```json
{
  "source": "wellfound",
  "searchUrl": "https://wellfound.com/role/r/software-engineer",
  "jobUrl": "https://wellfound.com/jobs/example",
  "jobId": "example",
  "title": "Software Engineer",
  "companyName": "Example Startup",
  "location": "New York, NY",
  "remote": true,
  "salary": "$120k–$160k",
  "page": 1,
  "scrapedAt": "2026-08-29T00:00:00.000Z"
}
```

### Output fields

| Field | Meaning |
|---|---|
| `source` | Source label: `wellfound`. |
| `searchUrl` | Requested public search or company-page target. |
| `jobUrl`, `jobId` | Canonical public job URL and stable source identifier. |
| `title`, `companyName`, `companyUrl`, `companyLogoUrl` | Job and public company identity. |
| `location`, `remote` | Displayed work location and remote flag. |
| `salary`, `equity`, `experienceLevel` | Public compensation and seniority details when displayed. |
| `description` | Public visible job description when requested. |
| `page`, `scrapedAt` | Pagination and collection provenance. |

Optional public values can be `null` when Wellfound does not display them.

### Input settings

| Input | Description |
|---|---|
| `role` | Wellfound role slug or plain role name, such as `software-engineer`. |
| `location` | Optional location phrase or slug that narrows a role search. |
| `companyUrls` | Public Wellfound company job-page URLs; these take precedence over role/location. |
| `maxItems` | Maximum jobs to save, from 1 to 1,000. Start with 20. |
| `includeDescription` | Include visible public job-description text. |
| `runTimeSecs` | Shared run time budget from 60 to 270 seconds; the default is 240 seconds. |

### Who is it for?

- **Recruiters and sourcers** building a public startup hiring watchlist.
- **Talent-market analysts** comparing roles, compensation, remote availability, and company demand.
- **Job boards and product teams** collecting public listings for a research or matching workflow.
- **Automation builders** who need a repeatable, target-bound public job dataset rather than a manual export.

### Pagination, limits, and partial output

Results are saved progressively and deduplicated by public job ID. The Actor follows pages until it reaches `maxItems`, no new jobs are available, a page repeats, or the shared time budget reaches its persistence reserve.

A completed run can contain fewer than `maxItems` when the requested public target has fewer results. If the source serves a challenge or a request fails after some rows were saved, the saved rows remain available and `RUN-SUMMARY` records the outcome and warnings.

### Pricing

The Actor charges one start event per run and one item event per exported job. Current tiered rates are always shown on the [live Pricing tab](https://apify.com/fetch_cat/wellfound-jobs-scraper/pricing). Your Apify plan determines the applicable tier.

### API usage

#### Node.js

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/wellfound-jobs-scraper').call({
  role: 'software-engineer',
  maxItems: 20,
  includeDescription: true,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("fetch_cat/wellfound-jobs-scraper").call(run_input={
    "role": "software-engineer", "maxItems": 20, "includeDescription": True
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)
```

#### cURL

```bash
curl -X POST "https://api.apify.com/v2/acts/fetch_cat~wellfound-jobs-scraper/runs?token=$APIFY_TOKEN" \
  -H 'content-type: application/json' \
  -d '{"role":"software-engineer","maxItems":20,"includeDescription":true}'
```

### MCP and AI-agent usage

Add this Actor to the [Apify MCP Server](https://mcp.apify.com/?tools=fetch_cat/wellfound-jobs-scraper) to let an MCP-compatible client run a public Wellfound job search with structured input and dataset output.

```bash
claude mcp add apify -- npx -y @apify/mcp-server --tools fetch_cat/wellfound-jobs-scraper
```

Or add the server to an MCP configuration:

```json
{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": ["-y", "@apify/mcp-server", "--tools", "fetch_cat/wellfound-jobs-scraper"],
      "env": { "APIFY_TOKEN": "<APIFY_TOKEN>" }
    }
  }
}
```

Example prompts: “Find 20 remote software-engineer jobs on Wellfound” or “Export jobs from this public Wellfound company URL.” Start with a small result limit and provide a role, location, or explicit public company URL.

### FAQ

#### What data can I export with Wellfound Jobs Scraper?

You can export public job title, company, location, remote status, visible compensation and equity, experience level, description, canonical URLs, pagination, and collection time when those values are displayed.

#### Can I run Wellfound Jobs Scraper through an API, schedule, or MCP client?

Yes. Use the API examples above, create a scheduled task in Apify for recurring checks, or add the Actor to an MCP-compatible client using the MCP link above.

#### How much does it cost to use Wellfound Jobs Scraper?

Each run has a start event plus a per-job event. See the live Pricing tab for the current rates for your Apify tier.

#### Do I need to sign in or configure a proxy?

No. Provide only the public search details or public company job-page URLs you want to collect.

### Related Actors

- [LinkedIn Jobs Scraper](https://apify.com/fetch_cat/linkedin-jobs-scraper)
- [Indeed Jobs Scraper](https://apify.com/fetch_cat/indeed-jobs-scraper)
- [Glassdoor Jobs Scraper](https://apify.com/fetch_cat/glassdoor-jobs-scraper)
- [Google Jobs Scraper](https://apify.com/fetch_cat/google-jobs-scraper)
- [Greenhouse Jobs Scraper](https://apify.com/fetch_cat/greenhouse-jobs-scraper)

### Support

For help, open an issue from the Actor page and include your input (without secrets), approximate run time, and the `RUN-SUMMARY` value when available.

# Actor input Schema

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

Wellfound role slug or plain role name.

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

Optional public Wellfound location name or slug used to bind the role-and-location search route.

## `companyUrls` (type: `array`):

Optional public Wellfound company URLs.

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

Maximum public jobs to save.

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

Open public job details to include the visible description.

## `runTimeSecs` (type: `integer`):

Shared time budget; output is saved progressively.

## Actor input object example

```json
{
  "role": "software-engineer",
  "companyUrls": [],
  "maxItems": 20,
  "includeDescription": true,
  "runTimeSecs": 240
}
```

# Actor output Schema

## `overview` (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 = {
    "role": "software-engineer",
    "companyUrls": [],
    "maxItems": 20,
    "includeDescription": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("fetch_cat/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",
    "companyUrls": [],
    "maxItems": 20,
    "includeDescription": True,
}

# Run the Actor and wait for it to finish
run = client.actor("fetch_cat/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",
  "companyUrls": [],
  "maxItems": 20,
  "includeDescription": true
}' |
apify call fetch_cat/wellfound-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fetch_cat/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/FW0qpsPjYQF3OHirr/builds/bONEtlrERg658DGtY/openapi.json