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

The latest and most advanced Wellfound, Angel list Jobs Scraper. Our Wellfound, Angel list Jobs Scraper extracts real-time job postings at scale from all over the world. A new research tool built for recruitment, insights and HR.

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

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## 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

<p align="center">
  <img src="https://cdn.jsdelivr.net/npm/simple-icons@v13/icons/wellfound.svg" width="90" height="90" alt="Wellfound Logo" />
</p>

## Wellfound Jobs Scraper

Scrape and aggregate job listings from **Wellfound** (wellfound.com, formerly AngelList Talent) search results – job title, company, location, salary, posting date and a direct apply link – and export them to JSON, CSV, Excel or an API in a single run.

### Overview

The **Wellfound Jobs Scraper** is a high-speed data extraction tool that turns Wellfound startup job search results into structured, machine-readable data.

Whether you are building a startup job board, conducting labour-market research, tracking competitor hiring in high-growth ecosystems, or feeding an AI agent with live job data, this Actor returns clean, ready-to-use results in real time – no manual copy-paste or fragile browser sessions required.

### Key Features

- **Full-Text Job Search** – Search Wellfound by keyword, job title, or tech stack and walk result pages automatically.
- **Precise Filtering** – Narrow results by country, city or region, company name, employment type, and how recently a job was posted.
- **Fresh Startup Data** – Pull only jobs posted today, in the last 3 days, this week, or this month.
- **Structured Output** – Every listing is parsed into standardized fields (`job_title`, `company_name`, `location`, `salary`, `date`, `job_type`, `URL`, `description`).
- **Fast & Low-Cost** – Optimized for speed and minimal compute so runs stay economical.
- **Claude / AI Agent Ready** – Seamlessly integrates via the Model Context Protocol (MCP) or direct API.

### Connect to Claude / AI Agent (MCP)

Connect this Actor directly to Claude Desktop, Cursor, or any MCP client via the Model Context Protocol endpoint:

```text
https://mcp.apify.com/?token=YOUR_APIFY_TOKEN_HERE&tools=actors,docs,excitable_pickle/wellfound-jobs-scraper
```

#### Claude Copy-Paste Prompt

```text
MCP Server URL: https://mcp.apify.com/?token=YOUR_APIFY_TOKEN_HERE&tools=actors,docs,excitable_pickle/wellfound-jobs-scraper
Apify Token: YOUR_APIFY_TOKEN_HERE

Execute Actor: excitable_pickle/wellfound-jobs-scraper
Task: "Search for 'Full-Stack Developer' roles in San Francisco or Remote posted in the last week, format top startup listings with company, salary, and application URL in a clean markdown table."
```

### Input Parameters

| Parameter | Type | Required | Description | Default | Valid Values |
| :--- | :--- | :--- | :--- | :--- | :--- |
| `countryName` | String | **Yes** | Country context for the search. | `"usa"` | `"usa"`, `"uk"`, `"india"`, `"all"`, etc. |
| `locationName` | String | **Yes** | City, state or region to search in. | `"San Francisco"` | Any location string (e.g. `"New York, NY"`, `"London"`) |
| `pagesToFetch` | Integer | **Yes** | Number of result pages to walk. | `1` | Positive integers (`1` - `10`) |
| `includeKeyword` | String | No | Search terms, job title or skills. | `""` | Any string (e.g. `"React, Node.js"`, `"AI Engineer"`) |
| `companyName` | String | No | Restrict results to a single employer. | `""` | Any company name |
| `jobType` | String | No | Filter by employment type. | - | `FULLTIME`, `PARTTIME`, `CONTRACTOR`, `INTERN` |
| `datePosted` | String | No | How recent the jobs should be. | `"all"` | `all`, `today`, `3days`, `week`, `month` |

#### Example Input

```json
{
  "includeKeyword": "AI Engineer, Python",
  "locationName": "San Francisco",
  "countryName": "usa",
  "companyName": "",
  "jobType": "FULLTIME",
  "datePosted": "week",
  "pagesToFetch": 2
}
```

### Output Data

Results are stored in the default Apify dataset and can be downloaded as JSON, CSV, Excel, XML, or accessed via REST API.

#### Sample Output Record

```json
{
  "job_title": "Senior Full-Stack Engineer",
  "company_name": "AI Robotics Startup",
  "location": "San Francisco, CA (Remote Allowed)",
  "posted_via": "Wellfound",
  "salary": "$140,000 - $180,000 a year",
  "date": "2026-09-12",
  "job_type": "Full-time",
  "URL": "https://wellfound.com/jobs/...",
  "description": "We are looking for an experienced full-stack engineer to build scalable real-time AI workflows..."
}
```

### Pricing

This Actor utilizes **Pay-Per-Event** monetization:

- **Result Charged**: `$0.005` per job extracted in the dataset.
- **Actor Start Fee**: `$0.002` per run.
- Zero subscription lock-in: pay only for the exact startup job leads you retrieve.

# Actor input Schema

## `countryName` (type: `string`):

Select the country for job search.

## `companyName` (type: `string`):

Enter the company name to filter job listings.

## `locationName` (type: `string`):

Enter the city or region.

## `includeKeyword` (type: `string`):

Comma-separated keywords (e.g., React, Next.js).

## `pagesToFetch` (type: `integer`):

Number of pages to scrape.

## `jobType` (type: `string`):

Select job type.

## `datePosted` (type: `string`):

Choose time range.

## Actor input object example

```json
{
  "countryName": "",
  "companyName": "",
  "locationName": "",
  "includeKeyword": "",
  "pagesToFetch": 1,
  "datePosted": "all"
}
```

# Actor output Schema

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

No description

## `summary` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("excitable_pickle/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 = {}

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,excitable_pickle/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/2UCH7aCAVzwtdV023/builds/aeexIO6GN2UcfeLm5/openapi.json