# Multi-ATS Job Scraper & API (`dalleyne/ats-job-scraper`) Actor
Scrape Greenhouse, Ashby, and Lever job boards from one input, with a unified 22-field output schema. Filter by department, team, work model, employment type, and recency before storing. Built for job boards and AI agents.
- **URL**: https://apify.com/dalleyne/ats-job-scraper.md
- **Developed by:** [Damien Alleyne](https://apify.com/dalleyne) (community)
- **Categories:** Jobs, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.50 / 1,000 results
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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).
If your project is in a different language, use 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
## Multi-ATS Job Scraper & API
[](https://apify.com/dalleyne/ats-job-scraper)
Scrape **Greenhouse, Ashby, and Lever** job boards from a single input and get one normalized output. The ATS is auto-detected per URL, and department/team and recency filters are applied **before anything is stored**, so you only pay for the jobs you keep. No browser, no HTML parsing. Built for job boards, AI agents, and hiring research.
### What can it do?
- ✅ One actor for three ATS platforms (Greenhouse, Ashby, Lever), auto-detected per URL
- ✅ **One normalized record shape** across all sources, tagged with an `ats` field
- ✅ **Filter by department/team before storing**, so you only pay for relevant jobs
- ✅ **Recency filter** (`daysBack`) for scheduled, incremental scraping
- ✅ **Limit results** per board with `maxJobs`
- ✅ Enhanced fields: salary, location arrays, remote/hybrid detection, applicant eligibility (Ashby)
### Why one endpoint for all your ATS boards
Job boards and AI agents usually need coverage across several ATS platforms. Wiring up a separate scraper per platform means three input formats and three output shapes to reconcile. This actor takes mixed Greenhouse, Ashby, and Lever URLs in one run and returns a single normalized schema, with the same filter-before-store cost model on every source.
### Supported ATS and filter conventions
Filter values are ATS-specific, because each platform identifies departments/teams differently:
| ATS | URL example | `departments` | `teams` |
|-----|-------------|---------------|---------|
| Greenhouse | `https://job-boards.greenhouse.io/{company}` | integer department IDs | (not applicable) |
| Ashby | `https://jobs.ashbyhq.com/{company}` | team/department UUIDs | team/department UUIDs |
| Lever | `https://jobs.lever.co/{company}` | plain names (case-insensitive) | plain names (case-insensitive) |
Leave a filter out to keep everything on that dimension. See the standalone actors below for how to find IDs/UUIDs per platform.
### Pricing
Pay per event: **$3.00 per 1,000 results**, discounting down to **$1.50 per 1,000** at higher Apify subscription tiers. You are only charged for jobs that survive your filters, not for everything the boards list.
### Input
```json
{
"urls": [
{ "url": "https://job-boards.greenhouse.io/automatticcareers", "departments": [307170], "maxJobs": 25 },
{ "url": "https://jobs.ashbyhq.com/zapier", "teams": ["cbb2c602-5494-4a7b-914c-8ad0a77fdc11"], "maxJobs": 25 },
{ "url": "https://jobs.lever.co/anchorage", "departments": ["Engineering"], "daysBack": 30 }
]
}
````
#### Parameters (per board)
- `url` (required): a Greenhouse, Ashby, or Lever board URL (ATS auto-detected)
- `departments` (optional): department filter (see conventions table for the value format)
- `teams` (optional): team filter (Ashby UUIDs or Lever names)
- `maxJobs` (optional): maximum jobs to store from this board
- `daysBack` (optional): only store jobs published/updated/created in the last N days
#### Scheduled runs
Create a Schedule in Apify Console and set `daysBack` to match your cadence (7 for weekly, 4 for twice-weekly). Each run then only stores and charges for jobs new since your last window. Duplicates across overlapping windows can occur; dedupe on `ats` + `id` downstream.
### Output
Every record has the same shape regardless of source:
```json
{
"ats": "lever",
"company": "anchorage",
"id": "abc12345-...",
"title": "Senior Backend Engineer",
"type": "Full-time",
"department": "Engineering",
"team": "Blockchain",
"description": "...
",
"descriptionPlain": "...",
"location": "Remote",
"locations": ["Remote", "Singapore"],
"workplaceType": "remote",
"isRemote": true,
"isHybrid": false,
"salary": { "min": 120000, "max": 160000, "currency": "USD", "interval": "per-year-salary" },
"compensationSummary": null,
"locationRequirements": null,
"country": "US",
"metadata": {},
"postingUrl": "https://jobs.lever.co/anchorage/abc12345-...",
"applyUrl": "https://jobs.lever.co/anchorage/abc12345-.../apply",
"publishedAt": "2026-05-07T01:08:03.000Z"
}
```
#### Field notes by source
- `salary` is structured for Lever (when published) and regex-parsed from descriptions for Greenhouse/Lever. Ashby compensation appears in `compensationSummary`.
- `locationRequirements` (country-level applicant eligibility) is populated for Ashby only.
- `workplaceType` is native for Lever; `isRemote`/`isHybrid` are derived from location text for Greenhouse/Ashby.
- `team` is null for Greenhouse (no team concept).
- `publishedAt` maps to each platform's native date (Greenhouse `updated_at`, Ashby `publishedDate`, Lever `createdAt`), which is also what `daysBack` filters on.
### Use it with AI agents
Callable through the [Apify MCP server](https://mcp.apify.com). Connect your agent (Claude, or any MCP-compatible framework) and it can scrape any mix of Greenhouse, Ashby, and Lever boards through one tool with a single, predictable output schema.
### How it works
1. Detects the ATS for each URL (Greenhouse / Ashby / Lever).
2. Dispatches to that platform's scraper, applying department/team, `daysBack`, and `maxJobs` filters before storing.
3. Maps every result to one unified record shape, tagged with `ats`.
4. Pushes results to the dataset.
### Related scrapers (single-platform)
Need just one ATS? These are the standalone actors this aggregator is built from:
- **[Greenhouse Job Scraper & API](https://apify.com/dalleyne/greenhouse-job-scraper)**
- **[Ashby Job Scraper & API](https://apify.com/dalleyne/ashby-job-scraper)**
- **[Lever Job Scraper & API](https://apify.com/dalleyne/lever-job-scraper)**
### Author
Built by [Damien Alleyne](https://alleyne.dev)
# Actor input Schema
## `urls` (type: `array`):
Greenhouse, Ashby, or Lever job board URLs. The ATS is auto-detected per URL. Each entry can be a plain URL string or an object with a required `url` plus optional per-board filters (use the JSON tab): `departments`, `teams`, `maxJobs` (integer cap), `daysBack` (integer; recency). Filter values are ATS-specific: Greenhouse `departments` are integer department IDs; Ashby `teams` are team/department UUID strings; Lever `departments` and `teams` are plain names (case-insensitive). Filtering is applied before storing, so you only pay for jobs you keep. All sources return one normalized record shape (with an `ats` field).
## `workModel` (type: `array`):
Optional global filter applied to every result across all boards: keep only jobs matching these work models. Leave empty to keep all.
## `employmentType` (type: `array`):
Optional global filter applied to every result across all boards: keep only jobs whose type matches. Best-effort substring match, since each ATS reports employment type as free text. Leave empty to keep all.
## Actor input object example
```json
{
"urls": [
{
"url": "https://job-boards.greenhouse.io/automatticcareers",
"departments": [
307170
],
"maxJobs": 25
},
{
"url": "https://jobs.ashbyhq.com/zapier",
"teams": [
"cbb2c602-5494-4a7b-914c-8ad0a77fdc11"
],
"maxJobs": 25
},
{
"url": "https://jobs.lever.co/anchorage",
"departments": [
"Engineering"
],
"maxJobs": 25
}
],
"workModel": [],
"employmentType": []
}
```
# Actor output Schema
## `jobs` (type: `string`):
All scraped postings in one unified schema, tagged with their source ATS
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"urls": [
{
"url": "https://job-boards.greenhouse.io/automatticcareers",
"departments": [
307170
],
"maxJobs": 25
},
{
"url": "https://jobs.ashbyhq.com/zapier",
"teams": [
"cbb2c602-5494-4a7b-914c-8ad0a77fdc11"
],
"maxJobs": 25
},
{
"url": "https://jobs.lever.co/anchorage",
"departments": [
"Engineering"
],
"maxJobs": 25
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("dalleyne/ats-job-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "urls": [
{
"url": "https://job-boards.greenhouse.io/automatticcareers",
"departments": [307170],
"maxJobs": 25,
},
{
"url": "https://jobs.ashbyhq.com/zapier",
"teams": ["cbb2c602-5494-4a7b-914c-8ad0a77fdc11"],
"maxJobs": 25,
},
{
"url": "https://jobs.lever.co/anchorage",
"departments": ["Engineering"],
"maxJobs": 25,
},
] }
# Run the Actor and wait for it to finish
run = client.actor("dalleyne/ats-job-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"urls": [
{
"url": "https://job-boards.greenhouse.io/automatticcareers",
"departments": [
307170
],
"maxJobs": 25
},
{
"url": "https://jobs.ashbyhq.com/zapier",
"teams": [
"cbb2c602-5494-4a7b-914c-8ad0a77fdc11"
],
"maxJobs": 25
},
{
"url": "https://jobs.lever.co/anchorage",
"departments": [
"Engineering"
],
"maxJobs": 25
}
]
}' |
apify call dalleyne/ats-job-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=dalleyne/ats-job-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Multi-ATS Job Scraper & API",
"description": "Scrape Greenhouse, Ashby, and Lever job boards from one input, with a unified 22-field output schema. Filter by department, team, work model, employment type, and recency before storing. Built for job boards and AI agents.",
"version": "1.0",
"x-build-id": "cdxDaggMWM93BsZEy"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/dalleyne~ats-job-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-dalleyne-ats-job-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/dalleyne~ats-job-scraper/runs": {
"post": {
"operationId": "runs-sync-dalleyne-ats-job-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/dalleyne~ats-job-scraper/run-sync": {
"post": {
"operationId": "run-sync-dalleyne-ats-job-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"urls"
],
"properties": {
"urls": {
"title": "Job Board URLs",
"type": "array",
"description": "Greenhouse, Ashby, or Lever job board URLs. The ATS is auto-detected per URL. Each entry can be a plain URL string or an object with a required `url` plus optional per-board filters (use the JSON tab): `departments`, `teams`, `maxJobs` (integer cap), `daysBack` (integer; recency). Filter values are ATS-specific: Greenhouse `departments` are integer department IDs; Ashby `teams` are team/department UUID strings; Lever `departments` and `teams` are plain names (case-insensitive). Filtering is applied before storing, so you only pay for jobs you keep. All sources return one normalized record shape (with an `ats` field).",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
},
"workModel": {
"title": "Work model",
"type": "array",
"description": "Optional global filter applied to every result across all boards: keep only jobs matching these work models. Leave empty to keep all.",
"items": {
"type": "string",
"enum": [
"remote",
"hybrid",
"onsite"
]
},
"default": []
},
"employmentType": {
"title": "Employment type",
"type": "array",
"description": "Optional global filter applied to every result across all boards: keep only jobs whose type matches. Best-effort substring match, since each ATS reports employment type as free text. Leave empty to keep all.",
"items": {
"type": "string",
"enum": [
"full-time",
"part-time",
"contract",
"internship",
"freelance",
"temporary"
]
},
"default": []
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```