# Wellfound (AngelList) Startup Jobs & Tech Salaries Scraper (`jaiveda/wellfound-jobs-scraper`) Actor

Extract tech jobs, salary benchmarks, equity, full job descriptions, and hiring company profiles from Wellfound (AngelList Talent).

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

## Pricing

from $10.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 💼 Wellfound / AngelList Jobs Scraper: Tech Salaries & Startup Hiring

> **Extract high-paying tech jobs, salary benchmarks, equity grants, remote work options, full job descriptions, and hiring startup profiles from Wellfound (formerly AngelList Talent).**

***

### 🌟 Why Scrape Wellfound?

Wellfound is the premier startup hiring marketplace with over 150,000+ venture-backed tech startups. Unlike traditional job boards where salary numbers are hidden, Wellfound mandates transparent compensation ranges and equity grants:

- 💰 **Salary & Compensation Benchmarking**: Collect real-time cash salary and equity compensation data across software engineering, AI/ML, product management, and growth roles.
- 🎯 **Recruiting & Talent Sourcing**: Find active open requisitions and tech hiring trends before companies post on LinkedIn.
- 🚀 **VC & Startup Research**: Track which venture-backed startups are in rapid hiring mode (Series A/B/C expansions).
- 👔 **Job Seekers & Aggregators**: Build custom startup job boards, automated daily Slack alerts, or personalized career matching feeds.

***

### ⚡ Key Features

- **Transparent Compensation**: Extracts min/max salary numbers (e.g., `$170k – $250k`) and equity percentages (e.g., `0.0% – 0.125%`).
- **Rich Role & Location Filters**: Scrape trending roles, software engineering, AI/ML, product, or filter specifically by city (San Francisco, NYC, London) or Remote.
- **Company Profiles**: Enriches each job with the hiring company name, pitch, employee size, logo, and Wellfound profile.
- **Full Markdown Descriptions**: Captures detailed role responsibilities, tech stacks, requirements, and bonus qualifications.
- **Remote vs. Onsite Classification**: Clear distinction between 100% remote, flexible work, and onsite positions.
- **Ultra-Fast & Reliable**: Leverages direct SSR hydration parsing with zero headless browser bloat, delivering dozens of jobs in seconds.

***

### 📥 Input Configuration

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `searchMode` | String | `"trending"` | Choose `"trending"`, `"role"`, `"role_location"`, `"location"`, or `"direct_urls"`. |
| `role` | String | `"software-engineer"` | Role slug (e.g. `software-engineer`, `ai-engineer`, `product-manager`, `sales`). |
| `location` | String | `"remote"` | Location slug (e.g. `remote`, `san-francisco`, `new-york-city`, `london`). |
| `directUrls` | Array | `[]` | List of custom Wellfound job or role URLs to scrape. |
| `remoteOnly` | Boolean | `false` | When enabled, only returns fully remote positions. |
| `maxItems` | Integer | `40` | Maximum number of job postings to return. |

#### Example Input:

```json
{
  "searchMode": "role_location",
  "role": "software-engineer",
  "location": "remote",
  "remoteOnly": true,
  "maxItems": 30
}
```

***

### 📤 Output Data Format

Each item in your dataset contains clean, structured JSON ready for analysis or CRM import:

```json
{
  "id": "4787364",
  "title": "Software Engineer",
  "slug": "software-engineer",
  "jobUrl": "https://wellfound.com/company/chalk-ai/jobs/4787364-software-engineer",
  "compensation": "$170k – $250k",
  "salaryMin": 170000,
  "salaryMax": 250000,
  "currency": "USD",
  "equity": null,
  "jobType": "full-time",
  "remote": false,
  "remoteKind": "ONSITE",
  "locations": [
    "New York City",
    "San Francisco"
  ],
  "acceptedRemoteLocations": [],
  "yearsExperienceMin": 4,
  "yearsExperienceMax": null,
  "description": "**About Chalk**\n\nChalk is building the data platform that powers machine learning...\n\n**What you will do**\n* Write C++, Python and Rust...",
  "company": {
    "id": "8887646",
    "name": "Chalk",
    "slug": "chalk-ai",
    "highConcept": "Building machine learning infrastructure to answer the world’s hardest questions",
    "companySize": "SIZE_51_200",
    "wellfoundUrl": "https://wellfound.com/company/chalk-ai",
    "logoUrl": "https://photos.wellfound.com/startups/i/8887646-f35c5c1d88595ca051fddbec6e486edd-medium_jpg.jpg"
  },
  "postedAt": "2026-10-01T08:00:00.000Z",
  "scrapedAt": "2026-10-02T00:58:00.000Z"
}
```

***

### 🔗 Integrations & Automations

- **Google Sheets & Airtable**: Sync fresh startup job listings automatically into your spreadsheet every day.
- **Slack & Discord Bots**: Broadcast newly posted $200k+ remote engineering roles straight to your developer community.
- **Custom Job Boards (Webflow / Framer / WordPress)**: Populate niche job boards with fresh, venture-backed startup roles via Apify API or webhooks.
- **Zapier & Make.com**: Trigger automated email notifications whenever an AI startup in your watch-list posts a new position.

# Actor input Schema

## `searchMode` (type: `string`):

Choose whether to scrape trending featured jobs, jobs by role, jobs by location, or role + location.

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

Role slug (e.g., 'software-engineer', 'ai-engineer', 'product-manager', 'data-scientist', 'designer', 'sales').

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

Location slug (e.g., 'remote', 'san-francisco', 'new-york-city', 'london', 'los-angeles').

## `directUrls` (type: `array`):

List of Wellfound job, role, or company URLs to scrape directly.

## `remoteOnly` (type: `boolean`):

Filter to only remote positions.

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

Maximum number of job listings to return.

## Actor input object example

```json
{
  "searchMode": "trending",
  "role": "software-engineer",
  "location": "remote",
  "remoteOnly": false,
  "maxItems": 40
}
```

# Actor output Schema

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

Dataset containing tech job listings, compensation, salary bounds, descriptions, and hiring company profiles.

# 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("jaiveda/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("jaiveda/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 jaiveda/wellfound-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jaiveda/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/ztDrJjuV4nwx2jnAF/builds/uPV7khLBe1FhRVvjP/openapi.json