# Hiring Signals Scraper (Greenhouse, Lever, Ashby, Workable) (`webdatatools/hiring-signals`) Actor

Scrape company job postings and hiring signals from Greenhouse, Lever, Ashby and Workable job boards — one row per job, or one hiring summary per company.

- **URL**: https://apify.com/webdatatools/hiring-signals.md
- **Developed by:** [Murat Uzun](https://apify.com/webdatatools) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 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/actors/running/actors-in-store.md#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

### What is Hiring Signals Scraper?

Hiring Signals Scraper is an Apify Actor that reads the **official public job-board data** of ten modern applicant tracking systems — **Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee, Personio, Teamtailor, BambooHR and Workday** — and returns either **one clean row per open job** or **one hiring summary per company**. Give it an ATS slug like `stripe` or a board URL like `https://jobs.lever.co/spotify`; it hits documented endpoints such as `boards-api.greenhouse.io/v1/boards/<slug>/jobs`, so there is no headless browser, no proxy, and nothing to get blocked by.

A bare slug is probed against every board except Workday in parallel, and every board that actually has postings is returned, so you do not need to know which ATS a company runs. Workday needs a full board URL — it identifies a company by a tenant *and* a site, which no single slug carries.

### What data does Hiring Signals Scraper extract?

In **One row per job** mode each row is a single posting:

| Field | Type | Description |
|---|---|---|
| `company` / `companyName` | string | Your input value, and the company name the API reports |
| `ats` | string | `greenhouse`, `lever`, `ashby`, `workable`, `smartrecruiters`, `recruitee`, `personio`, `teamtailor`, `bamboohr` or `workday` |
| `jobId` | string | The board's own posting ID |
| `title` | string | Job title |
| `department` / `team` | string | Org unit and sub-team, where the board exposes both |
| `location` | string | Location as the board publishes it |
| `isRemote` | boolean | From the board's own remote flag, else the location text |
| `employmentType` | string | e.g. `Full-time`, `Permanent`, `FullTime` (raw per ATS) |
| `postedAt` | string | ISO date the posting first went live |
| `url` | string | Public job page |
| `salaryMin` / `salaryMax` / `salaryCurrency` | number/string | Ashby and Recruitee boards that publish pay ranges |
| `description` | string | Plain text, HTML stripped, max 5,000 chars (optional) |
| `error` / `scrapedAt` | string | Per-row error, timestamp |

In **One row per company** mode each row is a hiring summary: `totalJobs`, `remoteJobs`, `jobsByDepartment`, `jobsByLocation` (top 10), `newestPostedAt`, `oldestPostedAt`, `jobsPostedLast30Days`, `topTitles` (5 newest), `boardUrl` and `hiringVelocity` — `high` (20+ new jobs in 30 days), `medium` (5+), `low` (1+) or `none`.

### How to use Hiring Signals Scraper

1. Paste your companies into **Companies** — bare ATS slugs, board URLs, or a mix of both.
2. Pick an **Output mode**: *One row per job* for aggregators and recruiters, *One row per company* for sales intelligence and competitor watching.
3. Leave **Max jobs per company** at 200, turn on **Include job descriptions** only if you need full text, then click **Start** and export as JSON, CSV, Excel or HTML.

### Example input

```json
{
  "companies": ["stripe", "https://jobs.lever.co/spotify", "https://jobs.ashbyhq.com/ashby"],
  "outputMode": "jobs",
  "maxJobsPerCompany": 200,
  "includeDescriptions": false
}
```

### Example output

```json
{
  "company": "stripe",
  "companyName": "Stripe",
  "ats": "greenhouse",
  "jobId": "8175644",
  "title": "Project Manager, People Mergers & Acquisitions (M&A)",
  "department": "6532 Benefits",
  "team": null,
  "location": "SF, SEA, NYC, US-Rem",
  "isRemote": true,
  "employmentType": null,
  "postedAt": "2026-09-12T00:20:25.000Z",
  "url": "https://stripe.com/jobs/search?gh_jid=8175644",
  "salaryMin": null,
  "salaryMax": null,
  "salaryCurrency": null,
  "description": null,
  "error": null,
  "scrapedAt": "2026-09-12T15:47:31.815Z"
}
```

### Input parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `companies` | array | `["stripe"]` | ATS slugs or job-board URLs |
| `outputMode` | enum | `jobs` | `jobs` or `companies` |
| `maxJobsPerCompany` | integer | 200 | Newest postings kept per company (1–5,000) |
| `includeDescriptions` | boolean | false | Add plain-text descriptions (max 5,000 chars) |
| `maxConcurrency` | integer | 5 | Parallel requests (1–20) |

### Pricing

Hiring Signals Scraper uses pay-per-event pricing: **$0.002 per result row** ($2 per 1,000 jobs or company summaries), plus a negligible $0.00005 actor-start fee, with platform usage included. Most boards are one HTTP request no matter how many jobs they hold (SmartRecruiters and Workday paginate internally for very large boards, still one billed row per job or company), so a 500-company sweep in *companies* mode costs about **$1**. Set **Maximum cost per run** to cap spend — the Actor trims its own work to fit and never pushes a row it cannot charge for.

### Hiring Signals Scraper vs. scraping job boards yourself

Writing ten ATS clients means ten payload shapes (JSON, an XML feed and an RSS feed among them), a dozen date formats (Lever ships epoch milliseconds, Workable a bare `YYYY-MM-DD`, Workday only a relative string like "Posted 3 Days Ago"), HTML-escaped descriptions on Greenhouse and Teamtailor, a POST-with-pagination search API on Workday, and a separate detail call per job on Workable. This Actor normalises all of that into one schema, and handles the traps: Workable answers HTTP 200 with an empty job list for many slugs it merely reserves — including `stripe` — so a naive "200 means yes" probe mislabels the ATS. Here a board only counts when it actually has postings.

### Using Hiring Signals Scraper with AI agents and MCP

This Actor runs on pay-per-event pricing with limited permissions — the two requirements for an Actor to be callable through the Apify MCP server at mcp.apify.com. An agent passes `companies` and `outputMode` and gets structured rows back, with no HTML to parse. It also connects via n8n, Make, Zapier and LangChain through Apify's integrations.

### FAQ

**Which ATS platforms are supported?** Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee, Personio, Teamtailor, BambooHR and Workday. Boards on SuccessFactors, iCIMS, JazzHR or Taleo return `error: "Not found on <the boards a bare slug was checked against>"`. Workday is the one exception to bare-slug probing — paste its full board URL (`https://<tenant>.wd<N>.myworkdayjobs.com/<site>`) instead of a slug.

**Why does a company show 0 jobs?** The board exists but has nothing published. `jobs.lever.co/lever` and `apply.workable.com/typeform` are both live, empty boards today — you still get a row, with `error: "No open jobs found"`.

**Are salaries included?** Only where the board publishes them, which in practice means Ashby's compensation API and, less often, Recruitee. Greenhouse, Lever, Workable, SmartRecruiters, Personio, Teamtailor, BambooHR and Workday return `null` salary fields.

**Why is `description` always null for SmartRecruiters and Workday?** Both boards' public list endpoints report metadata only — the job body lives behind a separate per-posting detail call, which this Actor skips to avoid doubling the request count. Every other supported ATS returns a description when **Include job descriptions** is on.

**Does `maxJobsPerCompany` affect company summaries?** No. In *companies* mode the summary always counts the whole board, otherwise `totalJobs` and `hiringVelocity` would silently understate the truth.

**Is this legal to run?** The Actor reads only public job listings that companies publish for candidates, and collects no personal data. You are responsible for complying with the boards' terms and applicable law.

**Can I schedule it?** Yes — run it daily and diff `jobId` values to detect new and closed roles.

### Related Actors

Part of the **webdatatools** web-intelligence suite — every Actor is pay-per-event, runs without
proxies or a headless browser, and returns one clean row per entity:

**Website & domain intelligence**

- [Website Contact & Social Extractor](https://apify.com/webdatatools/contact-extractor) — e-mails, phones and social profiles per domain
- [Website Tech Stack Detector](https://apify.com/webdatatools/tech-stack-detector) — CMS, e-commerce, analytics, pixels and payments per domain
- [Domain DNS & Email Security Checker](https://apify.com/webdatatools/dns-email-security-checker) — SPF, DKIM, DMARC, MX provider, registrar and domain age
- [Domain Security Audit](https://apify.com/webdatatools/domain-security-audit) — TLS expiry, security headers, redirect chain, robots and llms.txt
- [Subdomain Finder (Certificate Transparency)](https://apify.com/webdatatools/subdomain-finder) — every subdomain seen in CT logs, with a live DNS check
- [Bulk Core Web Vitals & PageSpeed Audit](https://apify.com/webdatatools/core-web-vitals-audit) — Lighthouse scores, LCP, CLS, INP and top fixes per URL
- [On-Page SEO Audit](https://apify.com/webdatatools/seo-page-audit) — title, meta, headings, links, images and schema issues per page
- [Sitemap URL Extractor & Change Monitor](https://apify.com/webdatatools/sitemap-extractor) — every sitemap URL, or new and removed pages between runs
- [Wayback Machine Snapshot & Page Change Tracker](https://apify.com/webdatatools/wayback-page-diff) — how a page changed over time, or every archived snapshot

**Content for AI, LLMs and RAG**

- [AI Web Search & Read](https://apify.com/webdatatools/ai-web-search) — a query turned into clean Markdown from the top search results
- [Website to Markdown Crawler for LLM & RAG](https://apify.com/webdatatools/website-to-markdown) — any site as clean Markdown per page, no browser
- [Article & News Extractor](https://apify.com/webdatatools/article-extractor) — clean article text, author, date and Markdown per URL
- [Structured Data & JSON-LD Extractor](https://apify.com/webdatatools/structured-data-extractor) — Schema.org and Open Graph data from any page
- [Google News Scraper](https://apify.com/webdatatools/google-news-scraper) — news results by keyword, topic or site
- [Press Release Monitor](https://apify.com/webdatatools/press-release-monitor) — PR Newswire, Business Wire and GlobeNewswire releases

**Search, video and social**

- [Google Search Results Scraper](https://apify.com/webdatatools/google-search-scraper) — organic SERP results per keyword and country
- [YouTube Comments Scraper](https://apify.com/webdatatools/youtube-comments-scraper) — comments and replies with likes, no API key
- [YouTube Channel Latest Videos](https://apify.com/webdatatools/youtube-channel-videos) — the latest 15 videos of any channel from RSS
- [YouTube Channel Videos Scraper](https://apify.com/webdatatools/youtube-channel-scraper) — a channel's full video, shorts and stream list
- [YouTube Search Results Scraper](https://apify.com/webdatatools/youtube-search-scraper) — videos, channels and playlists per query
- [YouTube Video Details Scraper](https://apify.com/webdatatools/youtube-video-details) — views, likes, description, tags and chapters per video
- [Apple Podcasts Lookup & Episodes Scraper](https://apify.com/webdatatools/podcast-lookup) — podcast metadata and episodes from iTunes and RSS
- [Bluesky Scraper](https://apify.com/webdatatools/bluesky-scraper) — posts, profiles, followers and threads from the AT Protocol API

**Leads, jobs and company data**

- [Company 360](https://apify.com/webdatatools/company-360) — one row per domain: contacts, tech, security, hiring and company facts
- [Y Combinator Companies & Founders Scraper](https://apify.com/webdatatools/yc-companies-scraper) — YC startups by batch, industry and hiring status
- [Wikidata Entity & Company Enrichment](https://apify.com/webdatatools/wikidata-entity-enrichment) — HQ, founders, employees, revenue and social IDs per company
- [Bulk Email Validator](https://apify.com/webdatatools/email-validator) — syntax, MX, disposable, role and free-provider checks
- [OpenStreetMap POI Extractor](https://apify.com/webdatatools/overpass-poi-extractor) — shops and amenities by radius, bbox or area

**Developer, app and research data**

- [npm, PyPI & Crates.io Package Health Checker](https://apify.com/webdatatools/package-health-checker) — releases, downloads, deprecation and a health score
- [GitHub Repository Health & Activity Report](https://apify.com/webdatatools/github-repo-health) — stars, commits, contributors and risk flags per repo
- [VS Code Marketplace Extension Scraper](https://apify.com/webdatatools/vscode-marketplace-extensions) — installs, ratings and versions per extension
- [Chrome Web Store Extension Scraper](https://apify.com/webdatatools/chrome-web-store-extensions) — users, rating, version and developer per extension
- [Google Play Store Scraper](https://apify.com/webdatatools/google-play-scraper) — apps, ratings, installs, developer contact and reviews
- [App Store (iOS) App Metadata & Top Charts](https://apify.com/webdatatools/app-store-lookup) — ratings, price, version and charts per app
- [CrossRef DOI & Citation Metadata Lookup](https://apify.com/webdatatools/crossref-doi-lookup) — papers, authors, journals and citation counts
- [FDA Recalls & Adverse Events Monitor](https://apify.com/webdatatools/openfda-recall-monitor) — food, drug and device recalls from openFDA
- [iCal / ICS Calendar Feed to Events Extractor](https://apify.com/webdatatools/ical-calendar-extractor) — any public calendar feed as event rows
- [Shopify Store Products Scraper](https://apify.com/webdatatools/shopify-products-scraper) — catalog, prices, variants and stock per store

### Support and feedback

Missing an ATS, or a field mapped the wrong way? Open an issue on the **Issues** tab.

# Actor input Schema

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

Enter the companies whose job board you want to scrape. Use the ATS slug on its own, e.g. stripe, or paste a full job-board URL, e.g. https://boards.greenhouse.io/stripe, https://jobs.lever.co/spotify, https://jobs.ashbyhq.com/ashby, https://apply.workable.com/blueground/, https://jobs.smartrecruiters.com/smartrecruiters, https://bunq.recruitee.com, https://personio.jobs.personio.de, https://storytel.teamtailor.com, https://euna.bamboohr.com/careers/list or https://<tenant>.wd<N>.myworkdayjobs.com/<site>. A bare slug is probed against every board except Workday (which needs a full URL — a tenant and a site, not just a slug) and every board that actually has postings is returned.

## `outputMode` (type: `string`):

Choose what one dataset row means. Pick "One row per job" to get every open posting (best for job aggregators and recruiters), or "One row per company" to get a single hiring summary per company with job counts, department and location breakdowns and a hiring-velocity score (best for sales intelligence and competitor watching).

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

Enter how many of the newest postings to keep per company, e.g. 200. This caps both cost and row count in "One row per job" mode. It is deliberately ignored in "One row per company" mode, where the summary always counts the whole board so totals and hiring velocity stay accurate.

## `includeDescriptions` (type: `boolean`):

Turn this on to add the full job description as plain text (HTML stripped, truncated to 5,000 characters). Leave it off for faster, smaller runs — on Workable it also saves one extra request per job, because that board only serves descriptions from a per-job endpoint. SmartRecruiters and Workday never return a description here (their list endpoints carry no job body), regardless of this setting.

## `maxConcurrency` (type: `integer`):

Enter the maximum number of parallel requests, e.g. 5. These are official public JSON endpoints, so 5 is polite and plenty; lower it to 1 or 2 if a board starts returning HTTP 429.

## Actor input object example

```json
{
  "companies": [
    "stripe",
    "https://jobs.lever.co/spotify",
    "https://jobs.ashbyhq.com/ashby"
  ],
  "outputMode": "jobs",
  "maxJobsPerCompany": 200,
  "includeDescriptions": false,
  "maxConcurrency": 5
}
```

# Actor output Schema

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

All scraped job postings and company hiring summaries — download as JSON, CSV, Excel or HTML.

# 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": [
        "stripe",
        "https://jobs.lever.co/spotify",
        "https://jobs.ashbyhq.com/ashby"
    ],
    "outputMode": "jobs",
    "maxJobsPerCompany": 200,
    "includeDescriptions": false,
    "maxConcurrency": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("webdatatools/hiring-signals").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": [
        "stripe",
        "https://jobs.lever.co/spotify",
        "https://jobs.ashbyhq.com/ashby",
    ],
    "outputMode": "jobs",
    "maxJobsPerCompany": 200,
    "includeDescriptions": False,
    "maxConcurrency": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("webdatatools/hiring-signals").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": [
    "stripe",
    "https://jobs.lever.co/spotify",
    "https://jobs.ashbyhq.com/ashby"
  ],
  "outputMode": "jobs",
  "maxJobsPerCompany": 200,
  "includeDescriptions": false,
  "maxConcurrency": 5
}' |
apify call webdatatools/hiring-signals --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,webdatatools/hiring-signals"
        }
    }
}
```

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/IzYAKYeRydOFJMgJQ/builds/2ETlC39iNlMSELUwS/openapi.json