# Wellfound startup jobs with ATS and company badges

**Use case:** 

Backend and machine learning jobs at San Francisco startups, returned with every column this Actor adds: which ATS the company runs, its funding stage, investor and rating badges, and the full job description.

## Input

```json
{
  "roles": [
    "backend-engineer",
    "machine-learning-engineer"
  ],
  "locations": [
    "san-francisco"
  ],
  "remoteOnly": false,
  "startUrls": [],
  "maxResults": 500,
  "maxPagesPerQuery": 0,
  "onlyNewJobs": false
}
```

## Output

```json
{
  "jobId": {
    "label": "Job id"
  },
  "jobSlug": {
    "label": "Job slug"
  },
  "title": {
    "label": "Job title"
  },
  "url": {
    "label": "Job URL"
  },
  "primaryRoleTitle": {
    "label": "Primary role title"
  },
  "jobType": {
    "label": "Job type"
  },
  "isRemote": {
    "label": "Is remote"
  },
  "remoteKind": {
    "label": "Remote kind"
  },
  "wfhFlexible": {
    "label": "Wfh flexible"
  },
  "locationNames": {
    "label": "Location names"
  },
  "acceptedRemoteLocationNames": {
    "label": "Accepted remote location names"
  },
  "yearsExperienceMin": {
    "label": "Years experience min"
  },
  "yearsExperienceMax": {
    "label": "Years experience max"
  },
  "postedAt": {
    "label": "Posted at"
  },
  "autoPosted": {
    "label": "Auto posted"
  },
  "compensationText": {
    "label": "Pay"
  },
  "salaryMin": {
    "label": "Salary min"
  },
  "salaryMax": {
    "label": "Salary max"
  },
  "salaryCurrency": {
    "label": "Salary currency"
  },
  "equityMin": {
    "label": "Equity min"
  },
  "equityMax": {
    "label": "Equity max"
  },
  "atsSource": {
    "label": "Ats source"
  },
  "atsVendor": {
    "label": "ATS"
  },
  "companyId": {
    "label": "Company id"
  },
  "companyName": {
    "label": "Company"
  },
  "companySlug": {
    "label": "Company slug"
  },
  "companyUrl": {
    "label": "Company url"
  },
  "companyLogoUrl": {
    "label": "Company logo url"
  },
  "companySize": {
    "label": "Company size"
  },
  "companyHighConcept": {
    "label": "Company high concept"
  },
  "companyBadges": {
    "label": "Company badges"
  },
  "activelyHiring": {
    "label": "Actively hiring"
  },
  "responseSpeed": {
    "label": "Response speed"
  },
  "companyStage": {
    "label": "Company stage"
  },
  "companyStageLabel": {
    "label": "Company stage label"
  },
  "recentlyFunded": {
    "label": "Recently funded"
  },
  "topInvestors": {
    "label": "Top investors"
  },
  "ycBacked": {
    "label": "Yc backed"
  },
  "valuationOver1B": {
    "label": "Valuation over1b"
  },
  "isB2B": {
    "label": "Is b2b"
  },
  "isB2C": {
    "label": "Is b2c"
  },
  "growingFast": {
    "label": "Growing fast"
  },
  "ratingOverall": {
    "label": "Rating overall"
  },
  "ratingWorkLifeBalance": {
    "label": "Rating work life balance"
  },
  "ratingLeadership": {
    "label": "Rating leadership"
  },
  "description": {
    "label": "Description"
  },
  "searchRole": {
    "label": "Search role"
  },
  "searchLocation": {
    "label": "Search location"
  },
  "sourceUrl": {
    "label": "Source url"
  },
  "sourcePage": {
    "label": "Source page"
  },
  "scrapedAt": {
    "label": "Scraped at"
  }
}
```

## About this Actor

This example demonstrates how to use [Wellfound Jobs Scraper - Startup Jobs, Salary & ATS](https://apify.com/webdata_labs/wellfound-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/webdata_labs/wellfound-jobs-scraper.md) 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`.
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/webdata_labs/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).