# Data scientist startup jobs with salary and equity

**Use case:** 

Reads Wellfound's public page of data scientist jobs in San Francisco and returns each role with its pay as numbers: salary minimum and maximum, currency, equity range and years of experience. Use it to compare startup compensation for a role and city.

## Input

```json
{
  "roles": [
    "data-scientist"
  ],
  "locations": [
    "san-francisco"
  ],
  "remote": false,
  "searchDescriptions": false,
  "remoteOnly": false,
  "includeDescriptions": true,
  "includeHtml": false,
  "maxPagesPerSearch": 1,
  "maxResults": 20,
  "onlyNew": false
}
```

## Output

```json
{
  "title": {
    "label": "Job title",
    "format": "text"
  },
  "company": {
    "label": "Startup",
    "format": "text"
  },
  "salaryMin": {
    "label": "Min",
    "format": "number"
  },
  "salaryMax": {
    "label": "Max",
    "format": "number"
  },
  "salaryCurrency": {
    "label": "Currency",
    "format": "text"
  },
  "equityText": {
    "label": "Equity",
    "format": "text"
  },
  "yearsExperienceMin": {
    "label": "Min years",
    "format": "number"
  },
  "yearsExperienceMax": {
    "label": "Max years",
    "format": "number"
  },
  "jobUrl": {
    "label": "Job",
    "format": "link"
  }
}
```

## How it works

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

The Wellfound (AngelList) Jobs Scraper: Startup Jobs & Salaries Actor is ready to run with the inputs already set for "Data scientist startup jobs with salary and equity". [Sign up or log in](https://console.apify.com/create-task-from-example/thoG3NUn5SWFIDJHB) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Data scientist startup jobs with salary and equity" task

The Wellfound (AngelList) Jobs Scraper: Startup Jobs & Salaries Actor will start running based on the input automatically. You can also change all the input fields, like roles, locations, and more, to match your specific use case.

### 3. Receive the "Data scientist startup jobs with salary 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 job title, startup, min, 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 "Data scientist startup jobs with salary and equity" task via API](https://apify.com/localwire/wellfound-jobs.md).

## FAQ

### What does the "Data scientist startup jobs with salary and equity" task return?

The "Data scientist startup jobs with salary and equity" task returns one record per job: title, company, salary minimum and maximum, currency, equity range, years of experience and job link.

### Do all jobs in the salary and equity task publish pay?

No. The data scientist startup jobs with salary and equity task returns pay as numbers where the startup published it; other jobs have empty pay fields.

### How do I run the "Data scientist startup jobs with salary and equity" task on a schedule or from code?

Copy the "Data scientist startup jobs with salary and equity" task to your Apify account, then add a schedule in Apify Console or start it with the Run task API endpoint. Results download as JSON, CSV or Excel.

## About this Actor

This example demonstrates how to use [Wellfound (AngelList) Jobs Scraper: Startup Jobs & Salaries](https://apify.com/localwire/wellfound-jobs.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/localwire/wellfound-jobs.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/localwire/wellfound-jobs.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`).