# Greenhouse, Lever, Ashby & Workable Jobs API – 4 ATSes (`deadwood_data_solutions/greenhouse-lever-ashby-workable-jobs-api`) Actor

Unified Career Site Job Listings API across Greenhouse, Lever, Ashby, SmartRecruiters & Recruitee — one feed, many ATS platforms. Filter by title, location or remote; dedup returns only new roles on scheduled runs. Pay-per-job. For recruiters & job boards.

- **URL**: https://apify.com/deadwood\_data\_solutions/greenhouse-lever-ashby-workable-jobs-api.md
- **Developed by:** [K O](https://apify.com/deadwood_data_solutions) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 job records

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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 usage examples, see the [API](#api) section below.

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).

# README

## Job Postings Aggregator — Six ATS Platforms, One Schema

**Covers six ATS platforms in one feed — Greenhouse, Lever, Ashby, SmartRecruiters, Recruitee and Workable — twice the board coverage of the nearest combo-ATS listing on the Store (which covers three: Greenhouse, Lever and Ashby).** Filters run *before* you're charged: `titleIncludes`, `locationIncludes` and `remoteOnly` are applied inside the fetch loop, before any record reaches the dataset or a billable event, so you only pay for postings that actually match.

### Pain points

- Each ATS has its own API, its own field names, its own quirks — Lever hands you epoch milliseconds, Recruitee a non-standard timestamp, SmartRecruiters pages by offset and nests every value behind `{label}`. Wiring up even three or four of these yourself is real integration work.
- Tracking a target-company list across more than one ATS means running several separate scrapers and merging their output into one schema yourself.
- Filtering after the fact — pulling everything, then throwing away what you didn't want — means paying for records you never use.
- Watching a list of companies for genuinely new roles across multiple platforms means storing what you already pulled, per platform, and diffing every run yourself.

### What we solve

- **One schema, six ATS platforms.** Greenhouse, Lever, Ashby, SmartRecruiters, Recruitee and Workable all normalize to the same 12-field record — no per-platform integration work.
- **Filters run before billing.** `titleIncludes`, `locationIncludes` and `remoteOnly` are checked inside the fetch loop, before a record is normalized, pushed, or charged — postings that don't match never cost you anything.
- **Per-source failure isolation.** A source that fails (bad slug, unreachable API) is skipped with a logged warning — the rest of your source list still comes back.
- **Dedup built in, namespaced correctly.** `onlyNewSinceLastRun` (default on) tracks the last 20,000 ids seen, keyed by `ats:company:id` — so the same numeric id from two different platforms, or two different companies, never collides or gets silently skipped.

### Who uses it

Recruiters and sourcers tracking a list of target companies, niche and aggregator job boards, sales teams watching accounts for hiring signals, and labor-market/HR-tech products that need one consistent jobs schema instead of five or six different APIs.

### Input

```json
{
  "sources": ["greenhouse:stripe", "lever:ro", "ashby:Ramp"],
  "titleIncludes": ["engineer"],
  "locationIncludes": ["remote"],
  "remoteOnly": false
}
```

| Field | What it does |
|---|---|
| `sources` | List of `"<ats>:<company>"` entries. Supported ats: `greenhouse`, `lever`, `ashby`, `smartrecruiters`, `recruitee`, `workable`. The company is the slug from that ATS's careers URL. E.g. `greenhouse:stripe`, `lever:ro`, `ashby:Ramp`, `workable:walter-careers`. |
| `titleIncludes` | Keep only jobs whose title contains one of these keywords (case-insensitive). Empty = all. Applied **before** billing. |
| `locationIncludes` | Keep only jobs whose location contains one of these keywords. Empty = all. Applied **before** billing. |
| `remoteOnly` | Keep only remote-flagged roles (or locations mentioning remote). Applied **before** billing. |
| `onlyNewSinceLastRun` | Recommended for schedules — skips jobs already returned by a previous run, so you're only charged for genuinely new postings. Default `true`. |
| `maxItems` | Stop after this many normalized records. |

### Output

| Field | Description |
|---|---|
| `jobId` | The posting's id in its source ATS. |
| `ats` | Which platform this came from: `greenhouse`, `lever`, `ashby`, `smartrecruiters`, `recruitee`, or `workable`. |
| `company` | The company/account slug you queried. |
| `title` | Job title. |
| `location` | Primary location, mapped from that ATS's own location shape. |
| `department` | Department/team, mapped from that ATS's own tagging. |
| `employmentType` | Employment type, mapped from that ATS's own field. |
| `remote` | Boolean where the source ATS exposes one; `null` for ATSs (like Greenhouse) with no explicit remote flag. |
| `postedAt` | Posting date, normalized to ISO 8601 regardless of the source's native format. |
| `url` | Public posting URL. |
| `applyUrl` | Direct apply-form URL, where the ATS separates it from the posting URL. |
| `source` | Always `"Jobs Aggregator"`. |

This actor has no bundled sample-run storage in this workspace to pull a record from directly, so — per this Actor's own documentation policy — here is a **representative record**, derived by tracing a genuine Ashby posting (the exact one shown in the [Ashby Jobs Scraper](https://apify.com/deadwood_data_solutions/ashby-jobs-scraper) README) through this actor's own field-mapping code, not a placeholder:

```json
{
  "jobId": "34413f8d-26bf-4bbc-8ade-eb309a0e2245",
  "ats": "ashby",
  "company": "Ramp",
  "title": " Security Engineer, Cloud",
  "location": "New York, NY (HQ)",
  "department": "Engineering",
  "employmentType": "FullTime",
  "remote": true,
  "postedAt": "2026-04-07T17:12:35.753+00:00",
  "url": "https://jobs.ashbyhq.com/Ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245",
  "applyUrl": "https://jobs.ashbyhq.com/Ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245/application",
  "source": "Jobs Aggregator"
}
```

Note what's missing next to the source-specific record: no `compensationSummary` (Ashby), no `departments`/`offices` array or `requisitionId` (Greenhouse), no `workplaceType`/`allLocations`/`country` (Lever), no `requirementsHtml`/`benefitsHtml`/`countries` (Workable). The unified schema trades platform-specific depth for one consistent shape across all six sources — see [Which actor do I want?](#which-actor-do-i-want) below if you need that depth back.

### Which actor do I want?

- **Tracking companies across more than one ATS, or don't want to run five separate scrapers?** You're in the right place — this is the only actor in this family that covers all six platforms in one normalized feed.
- **Need Greenhouse's multi-department/multi-office tagging or its internal requisition id?** Use [Greenhouse Jobs Scraper](https://apify.com/deadwood_data_solutions/greenhouse-jobs-scraper).
- **Need Lever's remote/hybrid/onsite distinction, every location tag, or a country field?** Use [Lever Jobs Scraper](https://apify.com/deadwood_data_solutions/lever-jobs-scraper).
- **Need Ashby's published salary/compensation data?** Use [Ashby Jobs Scraper](https://apify.com/deadwood_data_solutions/ashby-jobs-scraper) — this aggregator fetches Ashby's compensation payload too but drops the field to keep its schema consistent across all six sources.
- **Need Workable's description/requirements/benefits split, or its deduplicated country array?** Use [Workable Jobs Scraper](https://apify.com/deadwood_data_solutions/workable-jobs-scraper).
- **Want the free CRM/Notion/HubSpot/Airtable/Supabase sync feature?** It currently ships on the four single-board actors above (`syncEnabled` input), not yet on this one.

### Pricing (Pay-Per-Event)

- **`query`** — charged once per run for the poll across your sources.
- **`job-record`** — charged per normalized job pushed, **after filtering**. This is the primary event.
- `apify-actor-start` (Apify-managed) — covers baseline compute per run.

A daily monitor of a target-account list with a title filter returns just the handful of relevant new roles for pennies — and the filtered-out postings were never billed in the first place.

### Finding company slugs

| ATS | Slug is the part of the careers URL |
|---|---|
| Greenhouse | `job-boards.greenhouse.io/<slug>` |
| Lever | `jobs.lever.co/<slug>` |
| Ashby | `jobs.ashbyhq.com/<slug>` |
| SmartRecruiters | `jobs.smartrecruiters.com/<slug>` |
| Recruitee | `<slug>.recruitee.com` |
| Workable | `apply.workable.com/<slug>` |

### Source & reliability

All six sources are public ATS job-board APIs — no API keys, no proxies. A source that fails (bad slug, unreachable API) is skipped with a logged warning; the rest of your source list still comes back. SmartRecruiters sources page through up to 1,000 postings per company per run (10 pages × 100); the other five ATSs return each company's full board in a single call. Run `npm test` for the offline self-test covering the source parser and every ATS's field mapping.

### FAQ

**How am I charged?**

A flat `query` event once per run, plus one `job-record` event per normalized job actually pushed — **after** your `titleIncludes`/`locationIncludes`/`remoteOnly` filters are applied. Postings your filters exclude are never normalized, pushed, or charged. With `onlyNewSinceLastRun` on (the default), a posting already returned in a previous run (tracked by `ats:company:id`, for the most recent 20,000 seen) is skipped and not re-charged.

**Where does the data come from?**

Six public ATS job-board APIs — Greenhouse, Lever, Ashby, SmartRecruiters, Recruitee and Workable — the same data each platform's own hosted careers pages are built from. No API keys or proxies required.

**How fresh is it?**

Live at request time — there's no bundled or cached dataset behind this actor, it calls each source ATS directly on every run. Schedule it (daily or weekly) to keep catching new postings; `onlyNewSinceLastRun` means a recurring schedule only bills for roles you haven't seen yet.

**Which actor do I want?**

See [Which actor do I want?](#which-actor-do-i-want) above — short version: tracking multiple ATS platforms at once, stay here; need one platform's extra fields (salary, department/office arrays, workplace-type detail, or the description/requirements/benefits split), use that platform's single-board actor instead.

***

*SEO keywords: jobs aggregator, multi ATS scraper, Greenhouse Lever Ashby scraper, job listings API, job postings API, new jobs feed, hiring signals, recruiting data, job board aggregator, ATS jobs feed*

# Actor input Schema

## `sources` (type: `array`):

Each entry is "<ats>:<company>". Supported ats: greenhouse, lever, ashby, smartrecruiters, recruitee, workable. The company is the slug from that ATS's careers URL. Example: greenhouse:stripe, lever:ro, ashby:Ramp, smartrecruiters:Visa, recruitee:effectory, workable:walter-careers.

## `titleIncludes` (type: `array`):

Keep only jobs whose title contains one of these (case-insensitive). Leave empty for all titles. E.g. engineer, product, sales.

## `locationIncludes` (type: `array`):

Keep only jobs whose location contains one of these (case-insensitive). Leave empty for all locations. E.g. new york, london, remote.

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

Keep only jobs flagged remote (or whose location mentions remote).

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

Stop after this many normalized records have been pushed. Leave blank for no limit.

## `onlyNewSinceLastRun` (type: `boolean`):

Recommended for scheduled runs. Uses persisted state to skip postings already returned earlier, so a recurring schedule only charges for genuinely new jobs.

## Actor input object example

```json
{
  "sources": [
    "greenhouse:stripe",
    "lever:ro",
    "ashby:Ramp"
  ],
  "remoteOnly": false,
  "onlyNewSinceLastRun": true
}
```

# Actor output Schema

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

All normalized records from this run as JSON.

## `resultsCsv` (type: `string`):

All normalized records from this run as CSV.

# 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 = {
    "sources": [
        "greenhouse:stripe",
        "lever:ro",
        "ashby:Ramp"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("deadwood_data_solutions/greenhouse-lever-ashby-workable-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 = { "sources": [
        "greenhouse:stripe",
        "lever:ro",
        "ashby:Ramp",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("deadwood_data_solutions/greenhouse-lever-ashby-workable-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 '{
  "sources": [
    "greenhouse:stripe",
    "lever:ro",
    "ashby:Ramp"
  ]
}' |
apify call deadwood_data_solutions/greenhouse-lever-ashby-workable-jobs-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,deadwood_data_solutions/greenhouse-lever-ashby-workable-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/uvIl5FkHZkFGZgJAV/builds/wkaNeB6UKhB2UcDdu/openapi.json
