# Benchmark startup salaries and equity

**Use case:** 

Collect data scientist and machine learning jobs on Wellfound with salary ranges and equity percentages, to benchmark startup compensation.

## Input

```json
{
  "searches": [
    "data-scientist",
    "machine-learning-engineer"
  ],
  "maxResultsPerSearch": 60,
  "remoteOnly": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "title": {
    "label": "Title"
  },
  "company": {
    "label": "Company"
  },
  "companySize": {
    "label": "Company size"
  },
  "salary": {
    "label": "Salary"
  },
  "equity": {
    "label": "Equity"
  },
  "remote": {
    "label": "Remote"
  },
  "postedAt": {
    "label": "Posted",
    "format": "date"
  },
  "url": {
    "label": "Link",
    "format": "link"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Wellfound (AngelList) Startup Jobs Scraper Actor is ready to run with the inputs already set for "Benchmark startup salaries and equity". [Sign up or log in](https://console.apify.com/create-task-from-example/jV58Lfq5AtM6RjxHP) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Benchmark startup salaries and equity" task

The Wellfound (AngelList) Startup Jobs Scraper Actor will start running based on the input automatically. You can also change all the input fields, like searches, max jobs per search, and more, to match your specific use case.

### 3. Receive the "Benchmark startup salaries and equity" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as title, company, company size, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Benchmark startup salaries and equity" task via API](https://apify.com/dariandanciu/wellfound-jobs-scraper.md).

## FAQ

### What does the benchmark startup salaries and equity task return?

The benchmark startup salaries and equity task returns job title, startup name, company size and stage, salary range, equity, experience, locations and description. Export the results as JSON, CSV or Excel, or read them through the Apify API.

### How much does it cost to run?

This task runs dariandanciu/wellfound-jobs-scraper, priced per job: $2.00 per 1,000 on the free plan and less on paid plans. Items that fail are not charged.

### Can I change the inputs or run it on a schedule?

Yes. Duplicate the benchmark startup salaries and equity task, edit the inputs, then run it in Apify Console, on a schedule, through the Apify API or from an AI agent via the Apify MCP server.

## About this Actor

This example demonstrates how to use [Wellfound (AngelList) Startup Jobs Scraper](https://apify.com/dariandanciu/wellfound-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/dariandanciu/wellfound-jobs-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/dariandanciu/wellfound-jobs-scraper.md

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`).