# Hiring Intent Scraper — Companies Hiring Now (ATS API) (`elegant_economy/ats-hiring-intent-scraper`) Actor

Extract active job postings from Greenhouse and Lever ATS boards. Spot high-intent B2B buying signals, identify rapidly expanding teams, and pitch recruitment or SaaS services before your competitors.

- **URL**: https://apify.com/elegant_economy/ats-hiring-intent-scraper.md
- **Developed by:** [Devyanshu Negi](https://apify.com/elegant_economy) (community)
- **Categories:** Jobs, Lead generation, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 1,000 extracted job listings

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

## Hiring Intent Scraper — Companies Hiring Now (Greenhouse, Lever, Workable)

Find **companies that are hiring right now** — the #1 buying signal for sales teams, recruiters, and agencies. Scrapes live job postings directly from company ATS boards (Greenhouse, Lever, Workable) with no login, no proxies, pure public JSON APIs = extremely fast and cheap.

### Why this data?

When a company posts a job, it signals budget, growth, and new initiatives. Sales teams use "hiring intent" to time outreach; investors track headcount growth; recruiters map the talent market. This actor turns any list of companies into structured hiring-signal data in seconds.

### Features

- **Multi-ATS auto-detection** — one token probes Greenhouse → Lever → Workable automatically
- **Hiring-signal fields**: `first_published`, `updated_at`, `status`, `total_open_roles_for_company` (headcount-growth metric), remote flags, departments, offices
- **Full description enrichment** (optional) for keyword-based intent classification
- **Closed-posting history** (optional) for trend analysis
- **Pure API scraping** — no browser, no blocks, runs thousands of companies per minute

### Input

```json
{
  "company_names": ["stripe", "figma", "spotify"],
  "max_jobs_per_company": 100,
  "include_descriptions": false,
  "ats_platforms": ["greenhouse", "lever", "workable"]
}
```

Company tokens come from career-board URLs: `boards.greenhouse.io/stripe` → `stripe`.

### Output example

```json
{
  "company": "stripe",
  "platform": "greenhouse",
  "global_id": "greenhouse:stripe:8172510",
  "job_title": "Abuse Investigator",
  "location": "Seattle, San Francisco, New York City",
  "remote": false,
  "department": "Security Analytics",
  "status": "live",
  "first_published": "2026-09-25T16:44:40-04:00",
  "apply_url": "https://stripe.com/jobs/search?gh_jid=7844214",
  "total_open_roles_for_company": 715
}
```

### Use cases

- Sales prospecting: companies with 50+ open roles = funded & growing
- Recruiter market mapping by department/location
- Weekly automated headcount-change monitoring (schedule this actor)
- Building "Companies Hiring Remote X" content & lead lists

### Pricing

Pay-per-result: you only pay for job listings extracted. No minimum, free-tier friendly.

# Actor input Schema

## `company_names` (type: `array`):

Company board slugs used by Greenhouse/Lever/Workable. Example: for boards.greenhouse.io/stripe use "stripe". Auto-detected across all selected platforms.

## `ats_platforms` (type: `array`):

Which ATS platforms to try for each company token.

## `max_jobs_per_company` (type: `integer`):

Cap the number of job listings returned per company. Set 0 for all open roles.

## `include_descriptions` (type: `boolean`):

Adds the full posting description to each record (larger output, slightly slower).

## `include_deleted` (type: `boolean`):

Include jobs that were closed or deprioritized — useful for historical hiring-trend analysis.

## Actor input object example

```json
{
  "company_names": [
    "stripe",
    "figma",
    "brex",
    "spotify",
    "airbnb",
    "robinhood",
    "plaid",
    "ramp",
    "databricks",
    "hashicorp"
  ],
  "ats_platforms": [
    "greenhouse",
    "lever",
    "workable"
  ],
  "max_jobs_per_company": 100,
  "include_descriptions": false,
  "include_deleted": false
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing all extracted job listings

# 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 = {
    "company_names": [
        "stripe",
        "figma",
        "brex",
        "spotify",
        "airbnb",
        "robinhood",
        "plaid",
        "ramp",
        "databricks",
        "hashicorp"
    ],
    "ats_platforms": [
        "greenhouse",
        "lever",
        "workable"
    ],
    "max_jobs_per_company": 100,
    "include_descriptions": false,
    "include_deleted": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("elegant_economy/ats-hiring-intent-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "company_names": [
        "stripe",
        "figma",
        "brex",
        "spotify",
        "airbnb",
        "robinhood",
        "plaid",
        "ramp",
        "databricks",
        "hashicorp",
    ],
    "ats_platforms": [
        "greenhouse",
        "lever",
        "workable",
    ],
    "max_jobs_per_company": 100,
    "include_descriptions": False,
    "include_deleted": False,
}

# Run the Actor and wait for it to finish
run = client.actor("elegant_economy/ats-hiring-intent-scraper").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 '{
  "company_names": [
    "stripe",
    "figma",
    "brex",
    "spotify",
    "airbnb",
    "robinhood",
    "plaid",
    "ramp",
    "databricks",
    "hashicorp"
  ],
  "ats_platforms": [
    "greenhouse",
    "lever",
    "workable"
  ],
  "max_jobs_per_company": 100,
  "include_descriptions": false,
  "include_deleted": false
}' |
apify call elegant_economy/ats-hiring-intent-scraper --silent --output-dataset

```

## MCP server setup

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

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/E1KJfj3bkAo7hcN3A/builds/TVRhNgagmIE1kgKcy/openapi.json