# Wellfound Jobs Scraper sample

**Use case:** 

Sample use-case Task for wellfound-jobs-scraper: bounded defaults, real output, export JSON/CSV on Apify.

## Input

```json
{
  "locations": [
    "Berlin"
  ],
  "keywords": [
    "software engineer",
    "python"
  ],
  "remoteOnly": false,
  "jobTypes": [],
  "minimumSalary": 0,
  "includeJobsWithoutSalary": true,
  "maxResultsPerLocation": 5,
  "maxPagesPerLocation": 5
}
```

## Output

```json
{
  "job_id": {
    "label": "Job Id",
    "format": "text"
  },
  "url": {
    "label": "Url",
    "format": "link"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "description": {
    "label": "Description",
    "format": "text"
  },
  "job_type": {
    "label": "Job Type",
    "format": "text"
  },
  "primary_role": {
    "label": "Primary Role",
    "format": "text"
  },
  "locations": {
    "label": "Locations",
    "format": "text"
  },
  "accepted_remote_locations": {
    "label": "Accepted Remote Locations",
    "format": "text"
  },
  "is_remote": {
    "label": "Is Remote",
    "format": "boolean"
  },
  "remote_kind": {
    "label": "Remote Kind",
    "format": "text"
  },
  "work_from_home_flexible": {
    "label": "Work From Home Flexible",
    "format": "text"
  },
  "years_experience_minimum": {
    "label": "Years Experience Minimum",
    "format": "text"
  },
  "years_experience_maximum": {
    "label": "Years Experience Maximum",
    "format": "text"
  },
  "compensation": {
    "label": "Compensation",
    "format": "text"
  },
  "salary_minimum": {
    "label": "Salary Minimum",
    "format": "text"
  },
  "salary_maximum": {
    "label": "Salary Maximum",
    "format": "text"
  },
  "salary_currency": {
    "label": "Salary Currency",
    "format": "text"
  },
  "equity_minimum_percent": {
    "label": "Equity Minimum Percent",
    "format": "number"
  },
  "equity_maximum_percent": {
    "label": "Equity Maximum Percent",
    "format": "number"
  },
  "published_at": {
    "label": "Published At",
    "format": "date"
  },
  "company_name": {
    "label": "Company Name",
    "format": "text"
  },
  "company_url": {
    "label": "Company Url",
    "format": "link"
  }
}
```

## About this Actor

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


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

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

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).