# Greenhouse, Lever, Ashby & Workday Jobs Scraper (ATS API) (`panthalus/ats-jobs-api`) Actor

Every open job from any company's careers page in one clean schema. Eight ATSs auto-detected, incl. Workday and Rippling, with salary, location, remote flag and full description. Official public job-board APIs only: no login, no proxies.

- **URL**: https://apify.com/panthalus/ats-jobs-api.md
- **Developed by:** [Panthalus](https://apify.com/panthalus) (community)
- **Categories:** Jobs, AI, Automation
- **Features:** Limited permissions
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 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.

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

## Greenhouse, Lever, Ashby & Workday Jobs Scraper (ATS API)

![Jobs Scraper: careers pages into one jobs table](https://api.apify.com/v2/key-value-stores/OUAKECfhX5Svhoo26/records/banner-ats-jobs)

**Every open job at any company, from its own careers page, in one clean schema.** Paste careers-page URLs or company names; the Actor finds which applicant-tracking system (ATS) the company uses and returns every live posting with title, team, location, remote flag, salary (where published), posting date, apply link and the full description as plain text.

Eight ATSs in one Actor: **Greenhouse, Lever (US + EU), Ashby, Workable, Recruitee, SmartRecruiters, Workday and Rippling.**

### What people use it for

- **Hiring-signal and sales intelligence**: track which target accounts are hiring for "data engineer" or "SOC analyst" this week. Hiring is one of the strongest buying signals.
- **Job boards and aggregators**: fill a niche board (remote, climate, crypto, AI) straight from employer sources, so postings stay fresh and links never die.
- **Competitor and market research**: watch a competitor's headcount plan by team and location, and spot new offices or new product lines before they're announced.
- **Salary benchmarking**: Ashby, Lever, Recruitee and Rippling publish structured pay ranges; the rest (including Workday's US pay-transparency lines) are parsed from the description text.
- **AI agents and RAG**: a JSON job feed for agents that answer "who is hiring X in Y?", and clean description text for embeddings.
- **Job seekers and recruiters**: one daily scheduled run with `postedWithinDays: 1` gives a new-jobs alert across your 200 favourite companies.

### Why this one

- **Official public job-board APIs only.** These are the same JSON feeds the companies' own careers pages load. No login, no cookies, no proxies, no headless browser. So runs are fast (thousands of jobs in seconds) and don't break when a site redesigns.
- **Auto-detects the ATS.** Give it `notion`, `https://www.figma.com/careers/`, `greenhouse:stripe` or a `myworkdayjobs.com` link and it works out the rest. Stale leftover boards are ignored.
- **One schema across eight ATSs.** You don't write eight parsers.
- **No personal data.** Recruiter names, creator fields and application mailboxes are dropped. You get job data only.
- **Pay per job returned, after your filters.** Filtered-out jobs cost nothing.

### Input

| Field | What it does |
|---|---|
| `companies` | Careers URLs, board URLs, `ats:slug`, or bare slugs. Workday: `https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite` or `workday:nvidia.wd5/NVIDIAExternalCareerSite`. Rippling: `https://ats.rippling.com/chess/jobs` or `rippling:chess` |
| `keywords` / `excludeKeywords` | Title contains any / none of these |
| `locations`, `departments`, `remoteOnly` | Location/country text, team, remote flag |
| `postedWithinDays` | Only jobs first published in the last N days |
| `includeDescription` | Plain-text description (default on). SmartRecruiters, Workday and Rippling need one extra request per job for it, and Workday/Rippling take the exact posting date from that request |
| `maxJobsPerCompany`, `maxJobs` | Caps (also cap the per-job detail requests on SmartRecruiters, Workday and Rippling) |

```json
{
  "companies": ["https://boards.greenhouse.io/airbnb", "https://jobs.lever.co/spotify", "openai", "https://www.figma.com/careers/"],
  "keywords": ["engineer", "analyst"],
  "remoteOnly": false,
  "postedWithinDays": 7
}
```

### Output (one row per job)

```json
{
  "ats": "ashby", "company": "ramp", "companySlug": "ramp", "jobId": "34413f8d-…",
  "title": "Security Engineer, Cloud", "department": "Engineering", "team": "Backend",
  "employmentType": "FullTime", "workplaceType": "Hybrid", "isRemote": true,
  "location": "New York, NY (HQ)", "locations": ["New York, NY (HQ)", "Remote (Canada)", "Remote (US)", "Miami, FL"],
  "country": "USA", "postedAt": "2026-04-07T17:12:35Z",
  "salaryMin": 211400, "salaryMax": 290600, "salaryCurrency": "USD", "salaryPeriod": "1 YEAR", "salaryText": "$211.4K - $290.6K",
  "url": "https://jobs.ashbyhq.com/ramp/34413f8d-…", "applyUrl": "https://jobs.ashbyhq.com/ramp/34413f8d-…/application",
  "descriptionText": "ABOUT RAMP …", "input": "ramp", "scrapedAt": "2026-11-06T13:36:13Z"
}
```

A `SUMMARY` record in the key-value store lists, per input, which board was found, how many jobs it had and any error (e.g. "not found").

### Pricing

Pay per event:

- **USD 1.50 per 1,000 jobs returned.**
- A small start fee per run (USD 0.005).

| Example | Cost |
|---|---|
| 50 companies daily, ~5 new jobs each | about USD 0.38/day |
| 6 large employers, full pull (3,195 jobs, tested) | USD 4.80 |

Set a maximum cost per run in Apify Console and the Actor stops cleanly when it reaches it.

### Run it from code or an AI agent

Everything the Console does is one API call away. Get your token under **Settings > API & Integrations**.

**Python** (`pip install apify-client`)

```python
from apify_client import ApifyClient

client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("panthalus/ats-jobs-api").call(run_input={"companies": ["stripe", "https://jobs.lever.co/spotify", "ashby:notion"], "postedWithinDays": 7})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

**JavaScript** (`npm i apify-client`)

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

const client = new ApifyClient({ token: '<APIFY_TOKEN>' });
const run = await client.actor('panthalus/ats-jobs-api').call({"companies": ["stripe", "https://jobs.lever.co/spotify", "ashby:notion"], "postedWithinDays": 7});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

**cURL** (runs the Actor and returns the results in one request)

```bash
curl -X POST "https://api.apify.com/v2/acts/panthalus~ats-jobs-api/run-sync-get-dataset-items?token=<APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"companies": ["stripe", "https://jobs.lever.co/spotify", "ashby:notion"], "postedWithinDays": 7}'
```

**AI agents (MCP).** Add this Actor as a tool in Claude, Cursor, VS Code or any MCP client:

```
https://mcp.apify.com?tools=panthalus/ats-jobs-api
```

Then just ask, for example: *"Which of these 50 companies posted a data engineer job this week?"* The Actor uses pay-per-event pricing with limited permissions, so it is eligible for Apify's agentic payments.

**Schedules and integrations.** Run it daily with an Apify Schedule, and send new rows to Google Sheets, Slack, Zapier, Make, n8n or a webhook from the **Integrations** tab.

### FAQ

**Is this legal?** The Actor reads public job-board endpoints that the ATS vendors document for public use (e.g. Greenhouse Job Board API, Lever Postings API, Ashby Posting API). For Workday and Rippling it reads the same public JSON their hosted careers pages load in your browser (Workday's `/wday/cxs/{tenant}/{site}/jobs` feed on `myworkdayjobs.com`, Rippling's `ats.rippling.com/api/v2/board/{slug}/jobs`), without login and within each host's robots.txt. It collects no personal data. You are responsible for how you use the data, for example when republishing postings.

**A company isn't found.** For Workday, paste the `myworkdayjobs.com` careers link (a bare company name can't be matched to a Workday site, and some company careers pages only load the Workday link with JavaScript). iCIMS, Taleo and SuccessFactors are not covered yet. Open an issue with the careers URL and we'll look at adding it.

**Workday limits.** Workday's own search returns at most 2,000 postings per site, so very large employers are capped there. Without `includeDescription`, Workday gives only a relative date ("Posted 5 Days Ago"; "30+ Days Ago" becomes the latest possible date, today minus 30) and no department.

**Duplicate jobs?** If one company runs two live boards, both are returned with their `ats` field. Stale boards (under 20% of the main board's size) are skipped during auto-detection.

# Actor input Schema

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

One per line. Paste a job-board URL (boards.greenhouse.io/airbnb, jobs.lever.co/spotify, jobs.ashbyhq.com/ramp, apply.workable.com/huggingface, bunq.recruitee.com, jobs.smartrecruiters.com/BoschGroup, nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite, ats.rippling.com/chess/jobs), a company careers page (we detect the embedded ATS), a prefixed slug (greenhouse:airbnb, workday:nvidia.wd5/NVIDIAExternalCareerSite, rippling:chess) or a bare slug (we try every ATS except Workday, which needs its myworkdayjobs.com link).

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

Keep jobs whose title contains any of these words, e.g. engineer, analyst. Leave empty for all jobs.

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

Drop jobs whose title contains any of these, e.g. intern, senior.

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

Keep jobs whose location or country contains any of these, e.g. London, Germany, Remote.

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

Keep jobs whose department or team contains any of these, e.g. Engineering, Sales.

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

Keep only jobs marked remote by the ATS or with 'remote' in the location.

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

Keep only jobs first published in the last N days. Use 1 with a daily schedule to get only new jobs.

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

Adds the plain-text job description (needed for salary parsing, skills extraction or LLM pipelines). SmartRecruiters, Workday and Rippling need one extra request per job; on Workday and Rippling it also gives the exact posting date.

## `maxJobsPerCompany` (type: `integer`):

Cap per company after filters. Empty = no cap. Also limits the per-job detail requests on SmartRecruiters, Workday and Rippling.

## `maxJobs` (type: `integer`):

Stop after this many jobs across all companies. Empty = no cap.

## Actor input object example

```json
{
  "companies": [
    "https://boards.greenhouse.io/airbnb",
    "https://jobs.lever.co/spotify"
  ],
  "remoteOnly": false,
  "includeDescription": true,
  "maxJobsPerCompany": 25
}
```

# Actor output Schema

## `results` (type: `string`):

One row per open job: title, company, ATS, department, location, remote flag, salary, posted date, apply URL and description.

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

Which ATS board was found for each input, jobs found/returned, 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": [
        "https://boards.greenhouse.io/airbnb",
        "https://jobs.lever.co/spotify"
    ],
    "maxJobsPerCompany": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("panthalus/ats-jobs-api").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": [
        "https://boards.greenhouse.io/airbnb",
        "https://jobs.lever.co/spotify",
    ],
    "maxJobsPerCompany": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("panthalus/ats-jobs-api").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": [
    "https://boards.greenhouse.io/airbnb",
    "https://jobs.lever.co/spotify"
  ],
  "maxJobsPerCompany": 25
}' |
apify call panthalus/ats-jobs-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,panthalus/ats-jobs-api"
        }
    }
}
```

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/27cN5MrTdnHyK8cZf/builds/JwzkExuPXrrvfvnmB/openapi.json