# Jobs posted this week at AI labs and AI startups

**Use case:** 

Uses a ready-made list of about 180 AI companies and returns the jobs they posted in the last 7 days, read live from their job boards, in one table. Add Title includes, Location or Job functions to narrow it, or add your own companies. $0.01 per company, about $1.80 per run.

## Input

```json
{
  "companies": [
    "https://boards.greenhouse.io/stripe",
    "linear.app",
    "openai"
  ],
  "companyLists": [
    "ai-companies"
  ],
  "outputMode": "jobs",
  "includeDescription": false,
  "maxJobsPerCompany": 50,
  "onlyNewJobs": false,
  "monitorName": "default",
  "includeUpdatedJobs": false,
  "alertMaxJobs": 10,
  "alertOnFirstCheck": false,
  "titleIncludes": [
    "engineer"
  ],
  "department": "engineering",
  "location": "London",
  "remoteOnly": false,
  "jobFunctions": [
    "engineering",
    "data"
  ],
  "descriptionIncludes": [
    "Snowflake",
    "dbt"
  ],
  "hasSalary": false,
  "minAnnualSalaryCurrency": "USD",
  "postedSince": "7 days",
  "visaSponsorship": false
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "company": {
    "label": "Company",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "workplaceType": {
    "label": "Workplace",
    "format": "string"
  },
  "department": {
    "label": "Department",
    "format": "string"
  },
  "salaryMin": {
    "label": "Salary min",
    "format": "number"
  },
  "salaryMax": {
    "label": "Salary max",
    "format": "number"
  },
  "salaryCurrency": {
    "label": "Currency",
    "format": "string"
  },
  "salaryPeriod": {
    "label": "Pay period",
    "format": "string"
  },
  "postedAt": {
    "label": "Posted at",
    "format": "string"
  },
  "url": {
    "label": "Job link",
    "format": "string"
  },
  "change": {
    "label": "Change",
    "format": "string"
  },
  "jobFunction": {
    "label": "Job function",
    "format": "string"
  },
  "seniority": {
    "label": "Seniority",
    "format": "string"
  },
  "employmentTypeNormalized": {
    "label": "Job type",
    "format": "string"
  },
  "countryCode": {
    "label": "Country",
    "format": "string"
  },
  "city": {
    "label": "City",
    "format": "string"
  },
  "team": {
    "label": "Team",
    "format": "string"
  },
  "remote": {
    "label": "Remote",
    "format": "boolean"
  },
  "salaryAnnualMin": {
    "label": "Yearly salary min",
    "format": "number"
  },
  "salaryAnnualMax": {
    "label": "Yearly salary max",
    "format": "number"
  },
  "salarySource": {
    "label": "Salary from",
    "format": "string"
  },
  "experienceYearsMin": {
    "label": "Years of experience",
    "format": "number"
  },
  "educationMin": {
    "label": "Education",
    "format": "string"
  },
  "visaSponsorship": {
    "label": "Visa sponsorship",
    "format": "boolean"
  },
  "tools": {
    "label": "Tools",
    "format": "array"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "employmentType": {
    "label": "Employment type",
    "format": "string"
  },
  "ats": {
    "label": "Job board",
    "format": "string"
  },
  "companyStatus": {
    "label": "Status",
    "format": "string"
  },
  "matchedBy": {
    "label": "Matched by",
    "format": "string"
  },
  "companyName": {
    "label": "Name on the board",
    "format": "string"
  },
  "changedFields": {
    "label": "Changed fields",
    "format": "array"
  },
  "rowType": {
    "label": "Row type",
    "format": "string"
  },
  "jobKey": {
    "label": "Job key",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [ATS Jobs API: Greenhouse & Lever Jobs, Ashby & Career Pages](https://apify.com/conserving_celerytop/live-career-page-jobs-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/conserving_celerytop/live-career-page-jobs-api.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/conserving_celerytop/live-career-page-jobs-api.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`).