# Career Page Jobs Scraper: Greenhouse, Lever, Ashby, Workday (`robertosan16/career-page-jobs-scraper`) Actor

Get every open job from company career sites on Greenhouse, Lever, Ashby and Workday. Enter company names, domains or job board links, or search 2,600+ companies at once by job title. Salary ranges, departments, locations, full descriptions, one format.

- **URL**: https://apify.com/robertosan16/career-page-jobs-scraper.md
- **Developed by:** [Robert Khairislamov](https://apify.com/robertosan16) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.05 / 1,000 jobs

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Career Page Jobs Scraper: Greenhouse, Lever, Ashby, Workday

**Get every open job from company career pages on Greenhouse, Lever, Ashby and Workday.** Enter company names, website domains or job board links, or **search 2,600+ companies at once** by job title. Title, department, locations, salary range, full description and apply link, in one format for all four systems. **$1.50 per 1,000 jobs, no start fee.**

Most tech companies, startups and many large employers publish their jobs on their own career site, run by an applicant tracking system: **Greenhouse** (Airbnb, Stripe, Figma), **Lever** (Zoox, Palantir), **Ashby** (Ramp, Notion, 1Password) or **Workday** (NVIDIA, Salesforce, banks and retailers). Their jobs often appear there days before job boards, with the salary range the company publishes. This Actor reads the career sites directly, with no browser and no login.

### What can this career page scraper do?

- 🏢 **Companies by name, domain or link**: `Stripe`, `notion.so` or `https://jobs.lever.co/zoox`. You don't need to know which system a company uses: the Actor finds its Greenhouse, Lever or Ashby board for you.
- 🌐 **Search all companies**: one search across **2,630 company career sites** found and checked on Greenhouse, Lever, Ashby and Workday, about 320,000 open jobs. For example *data engineer, remote or United States*.
- 💰 **Salary ranges** wherever the company publishes them, as `min`, `max`, `currency` and `interval`, plus ranges found in the description.
- 🔎 **Filters**: title keywords, excluded words, locations, remote only, departments, posted in the last N days, only jobs with a salary.
- 🆕 **Only new jobs since the last run**: schedule it daily and get only the jobs that opened since yesterday.
- 🧩 **One format for all four systems**, and the same as our other job scrapers listed at the end of this page.

### What data does it extract?

| Field | Example |
|---|---|
| `title` | Software Engineer, AI Connections (Developer Platform) |
| `companyName` / `company` | Notion / notion |
| `ats` | ashby |
| `department` / `team` | Engineering / Engineering |
| `location` / `locations` | San Francisco, California |
| `remote` / `workplaceType` | true / hybrid |
| `employmentType` | full-time |
| `salary` | `{ "min": 272000, "max": 304000, "currency": "USD", "interval": "year" }` |
| `postedAt` / `updatedAt` | 2026-08-24T14:44:49.699Z |
| `jobUrl` / `applyUrl` | https://jobs.ashbyhq.com/notion/1fc309c8-… |
| `descriptionText` / `descriptionHtml` | full job description |

### How to scrape company career pages

1. Enter the companies, one per line: a name (`Stripe`), a domain (`notion.so`) or the link of the job board. Or leave the list empty and turn on **Search all companies**.
2. Set **Title keywords** (required for **Search all companies**) and any other filters: locations such as `Remote` or `London`, a date range, departments.
3. Click **Start**, then download the jobs as JSON, CSV, Excel or HTML, or get them through the API.

#### Example input: named companies

```json
{
  "companies": ["Stripe", "notion.so", "https://jobs.lever.co/zoox", "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite"],
  "keywords": ["engineer"],
  "locations": ["United States", "Remote"],
  "postedWithinDays": 14
}
```

#### Example input: every company in the directory

```json
{
  "searchAllCompanies": true,
  "keywords": ["data engineer"],
  "locations": ["Remote", "United States"],
  "includeDescription": false
}
```

In our test this search read all 2,630 career sites in about four minutes and returned 374 jobs.

#### Example output

```json
{
  "ats": "greenhouse",
  "company": "airbnb",
  "companyName": "Airbnb",
  "jobId": "8184174",
  "title": "Account Manager",
  "department": "Business Development",
  "location": "London, United Kingdom",
  "locations": ["London, United Kingdom"],
  "remote": false,
  "workplaceType": "hybrid",
  "salary": { "min": 46000, "max": 54000, "currency": "GBP", "interval": "year", "text": "GBP 46,000–54,000 per year", "source": "ats" },
  "postedAt": "2026-09-09T08:35:19.000Z",
  "jobUrl": "https://careers.airbnb.com/positions/8184174?gh_jid=8184174",
  "applyUrl": "https://careers.airbnb.com/positions/8184174?gh_jid=8184174",
  "descriptionText": "Airbnb was born in 2007 when two hosts welcomed three guests…",
  "scrapedAt": "2026-11-08T10:20:21.292Z"
}
```

### Use cases

- **Job boards and aggregators**: fill a niche board with fresh jobs straight from company career sites, often before they reach LinkedIn or Indeed.
- **Recruiting and sourcing**: watch target companies and react the day a role opens.
- **Sales and lead generation**: a company that hires for a role your product serves is a lead. Search all companies for that role and get the list.
- **Salary research**: published pay ranges by role, location and company, from the companies themselves.
- **Job seekers and AI agents**: one search across thousands of startups and tech companies, structured for a spreadsheet, an alert or an LLM.

### How much does it cost?

You pay only for the jobs you get: **$1.50 per 1,000 jobs**. That is the price on the Apify Free plan; paid Apify plans pay less. No start fee. Jobs that don't match your filters are free, and so are companies whose board is not found.

### Tips

- **A company is not found by name?** Paste the link of any of its jobs or of its career page. Workday boards have no guessable address, so they need a link, unless the company is in the directory.
- **Faster searches across all companies**: turn off **Include job descriptions**, and pick only the systems you need under **Career site systems**.
- **Job alerts**: save the input as a task, turn on **Only new jobs since the last run** and add a schedule.
- **Run summary**: jobs found and errors per company are saved in the key-value store as `SUMMARY`.

### FAQ

**Which companies are in the directory?** 2,630 career sites on Greenhouse, Lever, Ashby and Workday that we found in job postings and checked on each system's public job board API: each had open jobs when it was added. The directory is updated with new companies over time.

**How is a company found by its name?** The Actor tries the usual board names for the company (`Door Dash` → `doordash`, `door-dash`) on Greenhouse, Lever and Ashby, and uses the one that exists. A company in the directory is found at once.

**Is it legal to scrape career pages?** The Actor reads the public job board APIs that these systems offer for publishing jobs. Job postings are public business information, not personal data. Check the terms that apply to your use case.

### Integrations and API

- **Google Sheets, Slack, email and CRMs**: connect the Actor to Make, Zapier or n8n, or use the **Integrations** tab of this Actor. With **Only new jobs since the last run** and a schedule, each run sends only the new jobs.
- **Webhooks**: call your own URL when a run finishes, for example to load the new jobs into your database.
- **AI agents (MCP)**: add `https://mcp.apify.com?tools=robertosan16/career-page-jobs-scraper` as an MCP server in Claude, Cursor or VS Code, and your agent can search jobs with this Actor. Tell it how many jobs you need, so it sets **Maximum jobs in total**.
- **LangChain and LlamaIndex**: load the jobs into your LLM app with the Apify loaders.
- **API**: one request runs the Actor and returns the jobs, for runs of up to 5 minutes. Start longer runs with the `runs` endpoint and read the dataset when they finish.

```bash
curl -X POST "https://api.apify.com/v2/acts/robertosan16~career-page-jobs-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies":["stripe","notion.so","https://jobs.lever.co/zoox"],"keywords":["engineer"],"maxItems":50}'
```

### More job scrapers with the same output

- [Greenhouse Jobs Scraper](https://apify.com/robertosan16/greenhouse-jobs-scraper): every job of any company on Greenhouse, with salary ranges
- [Lever Jobs Scraper](https://apify.com/robertosan16/lever-jobs-scraper): every job of any company on Lever, including EU sites
- [Ashby Jobs Scraper](https://apify.com/robertosan16/ashby-jobs-scraper): startup jobs from Ashby job boards, with compensation
- [Workday Jobs Scraper](https://apify.com/robertosan16/workday-jobs-scraper): every job from any Workday career site, past the 2,000 search limit
- [Dice Jobs Scraper](https://apify.com/robertosan16/dice-jobs-scraper): US tech jobs from Dice.com, with skills and salaries
- [Welcome to the Jungle Jobs Scraper](https://apify.com/robertosan16/welcome-to-the-jungle-jobs-scraper): startup jobs in France, Europe, the UK and the US
- [SEEK Jobs Scraper](https://apify.com/robertosan16/seek-jobs-scraper): jobs in Australia and New Zealand, with salaries as numbers
- [StepStone Jobs Scraper](https://apify.com/robertosan16/stepstone-jobs-scraper): jobs in Germany, with benefits and English-language jobs
- [Jobstreet Jobs Scraper](https://apify.com/robertosan16/jobstreet-jobs-scraper): jobs in Malaysia, Singapore, the Philippines and Indonesia, with salaries as numbers
- [JobsDB Jobs Scraper](https://apify.com/robertosan16/jobsdb-jobs-scraper): jobs in Hong Kong and Thailand, with salaries as numbers
- [Reed Jobs Scraper](https://apify.com/robertosan16/reed-jobs-scraper): UK jobs from Reed.co.uk, with salaries, contract type and hybrid or remote
- [InfoJobs Jobs Scraper](https://apify.com/robertosan16/infojobs-jobs-scraper): jobs in Spain from InfoJobs.net, with salaries and remote policy
- [LinkedIn Jobs Scraper](https://apify.com/robertosan16/linkedin-jobs-scraper): public LinkedIn job listings without login, with full job details
- [Indeed Jobs Scraper & API: 62 Countries, Salaries](https://apify.com/robertosan16/indeed-jobs-scraper): Indeed jobs in 62 countries, with salaries, job types, benefits and company details
- [Glassdoor Jobs Scraper](https://apify.com/robertosan16/glassdoor-jobs-scraper): Glassdoor jobs in 62 countries, with company ratings, salaries and company details
- [Wellfound Jobs Scraper](https://apify.com/robertosan16/wellfound-jobs-scraper): startup jobs from Wellfound (AngelList Talent) with salary, equity and company stage
- [Xing Jobs Scraper](https://apify.com/robertosan16/xing-jobs-scraper): jobs in Germany, Austria and Switzerland from Xing, with salary or Xing's salary estimate and career level
- [Foundit Jobs Scraper](https://apify.com/robertosan16/foundit-jobs-scraper): jobs in India, the Gulf, Singapore, Malaysia, the Philippines and Hong Kong from Foundit (formerly Monster), with experience, skills and salary
- [All-in-One Job Scraper: LinkedIn, Indeed, Glassdoor](https://apify.com/robertosan16/all-in-one-jobs-scraper): LinkedIn, Indeed, Glassdoor and the other job boards here in one search, plus career sites you add, with duplicates removed

Missing a field or a feature? Open an issue in the Issues tab or email <support@mozartstandard.com>, and we will reply quickly.

# Actor input Schema

## `companies` (type: `array`):

Company names, website domains or job board links, one per line, for example <code>Stripe</code>, <code>notion.so</code> or <code>https://jobs.lever.co/zoox</code>. The Actor finds each company's board on Greenhouse, Lever or Ashby; Workday boards need their link (or the company must be in the directory). Leave empty to search every company with <b>Search all companies</b>.

## `searchAllCompanies` (type: `boolean`):

Search every company in the built-in directory (2,630 career sites found and checked on Greenhouse, Lever, Ashby and Workday), keeping the jobs whose title matches your <b>Title keywords</b>. Title keywords are required here.

## `platforms` (type: `array`):

With <b>Search all companies</b>, search only companies on these systems. Leave empty for all four.

## `keywords` (type: `array`):

Keep jobs whose title contains any of these words or phrases, for example <code>engineer</code> or <code>product manager</code>. Common word endings are included: <code>engineer</code> also finds "Engineering". Add <code>*</code> for any ending: <code>data*</code>.

## `excludeKeywords` (type: `array`):

Skip jobs whose title contains any of these, for example <code>intern</code> or <code>senior</code>.

## `locations` (type: `array`):

Keep jobs in any of these places, for example <code>London</code>, <code>Germany</code> or <code>CA</code>. Whole words are matched, so <code>CA</code> does not match "Canada". <code>Remote</code> also keeps remote jobs.

## `remoteOnly` (type: `boolean`):

Keep only jobs marked as remote or with "Remote" in a location.

## `departments` (type: `array`):

Keep jobs whose department or team contains any of these words, for example <code>Engineering</code> or <code>Sales</code>.

## `postedWithinDays` (type: `integer`):

Keep jobs published in the last N days: 1 means today and yesterday. Leave empty or 0 for any date.

## `onlyWithSalary` (type: `boolean`):

Keep only jobs with a pay range, from the job board or found in the description.

## `onlyNew` (type: `boolean`):

For scheduled runs: save only jobs that were not seen in earlier runs of the same saved task. The first run saves all current jobs and remembers them. Jobs that did not match your filters are remembered too.

## `includeDescription` (type: `boolean`):

Save the full job description as plain text and HTML. Turn off for smaller results.

## `maxItems` (type: `integer`):

Stop after saving this many jobs. Leave empty or 0 for no limit. The example is kept small so the first run takes seconds.

## `maxItemsPerCompany` (type: `integer`):

Save at most this many jobs from each company. Leave empty or 0 for no limit.

## `proxyConfiguration` (type: `object`):

Not needed in most cases: the job board APIs are public. Turn on Apify Proxy if a site limits your requests.

## Actor input object example

```json
{
  "companies": [
    "airbnb",
    "https://jobs.lever.co/zoox",
    "ramp"
  ],
  "searchAllCompanies": false,
  "remoteOnly": false,
  "onlyWithSalary": false,
  "onlyNew": false,
  "includeDescription": true,
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `jobs` (type: `string`):

Job postings with title, company, locations, salary, dates, description and links.

## `summary` (type: `string`):

Jobs found, matched and saved for each company, with errors.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "companies": [
        "airbnb",
        "https://jobs.lever.co/zoox",
        "ramp"
    ],
    "maxItems": 50,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("robertosan16/career-page-jobs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "companies": [
        "airbnb",
        "https://jobs.lever.co/zoox",
        "ramp",
    ],
    "maxItems": 50,
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("robertosan16/career-page-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "companies": [
    "airbnb",
    "https://jobs.lever.co/zoox",
    "ramp"
  ],
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call robertosan16/career-page-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,robertosan16/career-page-jobs-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/6nnmpURZw0dlyKASn/builds/G5YrOvfwQiW3DcWj3/openapi.json