# Job Search API \[$1/1K]: 600K Jobs from 14,000+ Career Sites (`gleanery_actors/ats-job-search`) Actor

\[💰 $1 / 1K] Search open jobs across 14,000+ company career sites (Greenhouse, Lever, Ashby, SmartRecruiters, Workable) by title, location, remote, salary and date. No company list needed. Indexed daily, live descriptions. $1 per 1,000 jobs.

- **URL**: https://apify.com/gleanery_actors/ats-job-search.md
- **Developed by:** [Martin Farias](https://apify.com/gleanery_actors) (community)
- **Categories:** Jobs, Lead generation, AI
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 job 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/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

## Job Search API: search jobs across 14,000+ company career sites

**Job Search API** lets you search **open jobs straight from company career sites**, across thousands of companies at once. You don't need a company list: filter by **job title, location, remote, salary and posting date**, and get clean JSON, CSV or Excel. Jobs come from the companies' own applicant tracking systems (**Greenhouse, Lever, Ashby, SmartRecruiters, Workable**), the original source that job boards copy from.

The index is rebuilt **every day**. When you ask for descriptions, they are fetched **live** from the career site, which also confirms the job is still open.

👉 **Try it now:** keep the prefilled input (remote "software engineer" jobs, 20 results) and click **Start**. It finishes in seconds and costs 4 cents.

### 🤖 Quick reference for AI agents

- **Actor ID:** `gleanery_actors/ats-job-search`. MCP: `https://mcp.apify.com?tools=gleanery_actors/ats-job-search`
- **Use it when** you need jobs matching a role, location, salary or date across many companies, and the user hasn't named the companies (if they have, use `gleanery_actors/career-site-jobs-scraper`).
- **Minimal input:** `{"titleKeywords": ["data engineer"], "locationKeywords": ["berlin", "remote"], "maxItems": 50}`
- **Useful inputs:** `remoteOnly`, `postedWithinDays`, `minSalary` (yearly, in the job's currency), `onlyWithSalary`, `departmentKeywords`, `excludeTitleKeywords` (e.g. `"senior"`), `companies`, `maxItems` (caps the cost; newest jobs first)
- **Output:** one item per job: `companyName`, `title`, `location`, `remote`, `department`, `salaryMin`, `salaryMax`, `salaryCurrency`, `postedAt`, `url`, `applyUrl`
- **Save context tokens:** keep `"descriptionFormat": "none"` (the default) and set `"omitEmptyFields": true`
- **Cost and speed:** $0.001 per job; 50 jobs in about 10 seconds. Only saved jobs are charged.
- **No Apify account?** Agents can pay per use with x402 or MPP through [agi.apify.com](https://agi.apify.com).

### ✨ Why this job search API

- 🌐 **Thousands of companies in one query**: from startups to enterprises, every company that hosts its careers page on Greenhouse, Lever, Ashby, SmartRecruiters or Workable
- 🎯 **Precise filters**: title keywords with word matching (no "AI" matching "Maintenance"), excluded words, location, remote, department, company, ATS, posting date
- 💰 **Salary as numbers**: `salaryMin`, `salaryMax`, `salaryCurrency`, `salaryInterval` wherever the employer publishes pay, with a minimum-yearly-salary filter
- ⚡ **Fast and cheap**: searches a pre-built daily index, so results come in seconds. No proxies, no browser, no waiting.
- 📝 **Live descriptions on demand**: plain text, HTML or both, fetched at run time. Closed jobs are dropped automatically.
- 🔁 **Incremental mode**: schedule it daily and get (and pay for) only **new jobs**, which makes it a ready job-alert feed
- 🆓 **No start fee, no subscription**: $1 per 1,000 jobs

### 🚀 How to use it

1. Enter **job title keywords** (e.g. `machine learning engineer`, `account executive`).
2. Add **locations** (`london`, `germany`, `remote`) or tick **Remote jobs only**.
3. Optionally set **Posted within (days)**, **Minimum yearly salary** or **Department**.
4. Set **Max jobs to save** and click **Start**. Export as CSV, Excel or JSON, or use the API.

### 🧾 Input examples

**Remote data engineering jobs posted this week:**

```json
{
  "titleKeywords": ["data engineer", "analytics engineer"],
  "remoteOnly": true,
  "postedWithinDays": 7,
  "maxItems": 200
}
```

**Account executive jobs in London or Berlin, no senior roles:**

```json
{
  "titleKeywords": ["account executive"],
  "excludeTitleKeywords": ["senior", "director"],
  "locationKeywords": ["london", "berlin"],
  "maxItems": 100
}
```

**Engineering jobs paying $180k+ a year, with descriptions:**

```json
{
  "titleKeywords": ["engineer"],
  "minSalary": 180000,
  "descriptionFormat": "text",
  "descriptionMaxLength": 2000,
  "maxItems": 100
}
```

**Daily feed of new product manager jobs (schedule daily):**

```json
{
  "titleKeywords": ["product manager"],
  "onlyNewOrUpdated": true,
  "maxItems": 500
}
```

### 📤 Output example

```json
{
  "ats": "ashby",
  "companyBoard": "mystenlabs",
  "companyName": "Mysten Labs",
  "jobId": "eb26b54f-bd8c-4bcb-ab5a-a9aafad09960",
  "title": "Security Engineer",
  "department": "Security",
  "location": "USA (Remote)",
  "locations": "USA (Remote) | Canada (Remote)",
  "country": "United States",
  "remote": true,
  "workplaceType": "Remote",
  "employmentType": "FullTime",
  "salaryMin": 140000,
  "salaryMax": 190000,
  "salaryCurrency": "USD",
  "salaryInterval": "1 YEAR",
  "postedAt": "2026-10-20T19:31:52.121Z",
  "url": "https://jobs.ashbyhq.com/mystenlabs/eb26b54f-bd8c-4bcb-ab5a-a9aafad09960",
  "applyUrl": "https://jobs.ashbyhq.com/mystenlabs/eb26b54f-bd8c-4bcb-ab5a-a9aafad09960/application",
  "descriptionText": "Mysten Labs is looking for a Security Engineer to…"
}
```

The dataset has two views: **Jobs** and **Salaries**. The run's **SUMMARY** record shows the index date and size, how many jobs matched and how many were saved.

### 💵 Pricing

| Apify plan | Price per 1,000 jobs |
|---|---|
| All plans (Free to Diamond) | $1 |

Only saved jobs are charged: no start fee, and filtered-out or unchanged jobs are free. Apify's free plan includes $5 of monthly credit, about 5,000 jobs.

### 💡 Use cases

- **Job boards and newsletters:** backfill a niche board (remote, climate, crypto, AI) with fresh jobs from the source.
- **Job alerts:** schedule a daily run with incremental mode and send new jobs to Slack, email or Google Sheets.
- **Salary benchmarking:** collect pay ranges by title and location from employers that publish them.
- **Sales and recruiting signals:** find companies hiring for a role your product or agency serves.
- **AI agents and RAG:** a compact, normalized job feed for LLM tools.

### 🔌 API and integrations

**cURL:**

```bash
curl -X POST "https://api.apify.com/v2/acts/gleanery_actors~ats-job-search/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"titleKeywords":["devops engineer"],"remoteOnly":true,"maxItems":50}'
```

**Python:**

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("gleanery_actors/ats-job-search").call(run_input={
    "titleKeywords": ["machine learning engineer"], "locationKeywords": ["london"], "maxItems": 100,
})
for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["companyName"], job["title"], job["url"])
```

**JavaScript:**

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

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('gleanery_actors/ats-job-search').call({ titleKeywords: ['product designer'], remoteOnly: true });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
```

Connect it to Google Sheets, Slack, Make, Zapier or n8n through Apify integrations.

### ❓ FAQ

**How fresh is the data?**
The index is rebuilt daily from the companies' career sites. With descriptions on, each job is re-checked live, and jobs closed since indexing are dropped.

**Which companies are included?**
Every company we know of that uses Greenhouse, Lever, Ashby, SmartRecruiters or Workable for its careers page, from startups to large enterprises, and new ones are added continuously. To scrape one specific company, including those on Workday, Personio, Recruitee and others, use [Career Site Jobs Scraper](https://apify.com/gleanery_actors/career-site-jobs-scraper).

**Why do some jobs have no salary?**
Employers decide whether to publish pay. Salary data is most common for US roles (pay-transparency laws).

**Is this legal and GDPR-compliant?**
Yes. The actor uses the public job-board APIs that power the companies' own careers pages, and returns job postings only, with no personal data.

### 🧰 More from us

- [Career Site Jobs Scraper](https://apify.com/gleanery_actors/career-site-jobs-scraper): every job from specific companies on 11 ATS platforms, including Workday and Personio
- [Arbeitsagentur Jobs Scraper](https://apify.com/gleanery_actors/arbeitsagentur-jobs-scraper): 1M+ jobs from Germany's largest job board (Bundesagentur für Arbeit) with salary, address and temp-agency flag.
- [Wellfound Jobs Scraper](https://apify.com/gleanery_actors/wellfound-jobs-scraper): startup jobs with salary, equity and funding stage
- [Europages Scraper](https://apify.com/gleanery_actors/europages-scraper): European suppliers and manufacturers with VAT IDs

### 💬 Support

Missing a company, or found a bug? Open an issue on the **Issues** tab. We reply within 24 hours.

# Actor input Schema

## `titleKeywords` (type: `array`):

Keep jobs whose title contains any of these words or phrases (case-insensitive, matched at the start of a word: "engineer" also matches "Engineering"). Examples: "data engineer", "product manager", "account executive". Leave empty for all titles.

## `excludeTitleKeywords` (type: `array`):

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

## `departmentKeywords` (type: `array`):

Keep jobs whose department or team contains any of these, e.g. "engineering", "sales", "data".

## `locationKeywords` (type: `array`):

Keep jobs whose location contains any of these: city, state or country names, e.g. "london", "germany", "new york", "remote".

## `excludeLocationKeywords` (type: `array`):

Drop jobs whose location contains any of these, e.g. "india", "united states".

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

Keep only jobs the employer marks as remote.

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

Keep only jobs posted in the last N days. 0 = any date. When a career site doesn't publish a posting date, the date we first saw the job is used.

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

Keep only jobs that publish a salary range. Greenhouse pay ranges are only available when descriptions are fetched (Description format other than "none").

## `minSalary` (type: `integer`):

Keep jobs whose maximum salary (converted to yearly) is at least this amount, in the job's own currency. 0 = no minimum. Implies jobs with a salary.

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

Optional. Keep only jobs from companies whose name contains any of these (e.g. "stripe", "openai"). To scrape specific companies by URL, use our Career Site Jobs Scraper instead.

## `excludeCompanies` (type: `array`):

Drop jobs from companies whose name contains any of these, e.g. staffing agencies.

## `atsPlatforms` (type: `array`):

Only search these applicant tracking systems. Empty = all.

## `descriptionFormat` (type: `string`):

"none" is fastest and smallest (best for AI agents and lists). "text" or "html" fetch each matched job's live description from the career site, which also confirms the job is still open and adds Greenhouse pay ranges.

## `descriptionMaxLength` (type: `integer`):

Cut plain-text descriptions to this many characters. 0 = full text.

## `omitEmptyFields` (type: `boolean`):

Leave out null and empty fields for compact output.

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

Stop after this many jobs. Caps your cost. Newest jobs come first.

## `onlyNewOrUpdated` (type: `boolean`):

For scheduled runs: return (and charge for) only jobs that are new or changed since the previous run with the same input.

## `stateKey` (type: `string`):

Optional name for the incremental-mode memory. Runs with the same key share it, even if their inputs differ.

## Actor input object example

```json
{
  "titleKeywords": [
    "software engineer"
  ],
  "remoteOnly": true,
  "postedWithinDays": 0,
  "onlyWithSalary": false,
  "minSalary": 0,
  "descriptionFormat": "none",
  "descriptionMaxLength": 0,
  "omitEmptyFields": false,
  "maxItems": 20,
  "onlyNewOrUpdated": false
}
```

# Actor output Schema

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

All scraped jobs as dataset items (JSON, CSV, Excel).

# 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 = {
    "titleKeywords": [
        "software engineer"
    ],
    "remoteOnly": true,
    "maxItems": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("gleanery_actors/ats-job-search").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 = {
    "titleKeywords": ["software engineer"],
    "remoteOnly": True,
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("gleanery_actors/ats-job-search").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 '{
  "titleKeywords": [
    "software engineer"
  ],
  "remoteOnly": true,
  "maxItems": 20
}' |
apify call gleanery_actors/ats-job-search --silent --output-dataset

```

## MCP server setup

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

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/C0Wy7jLQ9ZQe5hjOz/builds/zjoyluLFrfECeYWPd/openapi.json