# Multi-ATS Hiring Intent Monitor (`tstark84/multi-ats-hiring-intent-monitor`) Actor

Monitor public ATS job boards and turn hiring activity into B2B buying-intent signals.

- **URL**: https://apify.com/tstark84/multi-ats-hiring-intent-monitor.md
- **Developed by:** [Tony Starky](https://apify.com/tstark84) (community)
- **Categories:** Lead generation, Jobs, Automation
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 hiring-intent leads

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## Multi-ATS Hiring Intent Monitor

Monitor public ATS job boards and convert hiring activity into structured B2B buying-intent signals.

This Actor is designed for sales teams, agencies, recruiters, market researchers, and founders who want to understand which companies are actively investing in specific functions such as AI, data, security, sales, marketing, customer support, engineering, finance, or HR.

### What it does

The Actor scans public job boards from supported Applicant Tracking Systems and returns scored records that explain what each job posting may signal.

Supported sources in v1:

- Greenhouse public boards
- Lever public postings
- Ashby public job boards

### Why this is useful

Raw job scrapers return postings. This Actor turns postings into signals:

- hiring category
- matched buying-intent keywords
- seniority level
- intent score
- suggested seller angle

Examples:

- A company hiring many security/compliance roles may be evaluating security, GRC, or privacy tools.
- A company hiring data engineers and analytics roles may need data stack, ETL, BI, or warehouse tools.
- A company hiring customer support and implementation roles may be scaling customer operations.
- A company hiring SDRs/AEs may be expanding outbound sales capacity.

### Input

```json
{
  "atsBoards": [
    { "ats": "greenhouse", "company": "Stripe", "token": "stripe" },
    { "ats": "greenhouse", "company": "Airbnb", "token": "airbnb" },
    { "ats": "ashby", "company": "Perplexity", "token": "perplexity" }
  ],
  "targetKeywords": ["sales", "security", "data", "ai", "revops"],
  "minIntentScore": 35,
  "maxJobsPerSource": 250,
  "maxTotalResults": 1000,
  "maxConcurrency": 5,
  "requestTimeoutSecs": 30,
  "intentKeywordMap": {}
}
```

#### `atsBoards`

Each board must include:

| Field | Required | Description |
|---|---:|---|
| `ats` | yes | `greenhouse`, `lever`, or `ashby` |
| `company` | yes | Human-readable company name for output |
| `token` | yes unless `url` is used | ATS board slug/token |
| `url` | optional | Direct API URL or supported public board URL |

Examples:

```json
{ "ats": "greenhouse", "company": "Stripe", "token": "stripe" }
{ "ats": "lever", "company": "ExampleCo", "token": "exampleco" }
{ "ats": "ashby", "company": "Perplexity", "token": "perplexity" }
```

#### Custom scoring

Add your own category keywords with `intentKeywordMap`:

```json
{
  "intentKeywordMap": {
    "healthcare_it": ["epic", "hl7", "hipaa", "clinical data"],
    "warehouse_ops": ["warehouse", "fulfillment", "inventory manager"]
  }
}
```

### Output

Each dataset item includes:

```json
{
  "sourceAts": "greenhouse",
  "company": "Stripe",
  "title": "Account Executive, AI Sales",
  "department": "Sales",
  "location": "New York, NY",
  "jobUrl": "https://stripe.com/jobs/search?gh_jid=...",
  "jobId": "123456",
  "publishedAt": "2026-07-06T...Z",
  "intentCategories": ["ai_ml", "sales_growth"],
  "matchedKeywords": ["account executive", "artificial intelligence", "sales"],
  "targetKeywordMatches": ["sales", "ai"],
  "seniority": "unknown",
  "intentScore": 55,
  "suggestedSalesAngle": "AI/ML tooling, model ops, data infrastructure, or automation vendors may have a fit.",
  "scrapedAt": "2026-07-06T15:30:00Z"
}
```

### Built-in categories

- `ai_ml`
- `data`
- `security`
- `sales_growth`
- `marketing_growth`
- `customer_support`
- `engineering`
- `finance_ops`
- `hr_recruiting`

### Notes and responsible use

- This Actor uses public job-board data only.
- It does not scrape private profiles or login-only information.
- It does not enrich personal contact details.
- Treat scores as signals, not facts. Review source postings before making business decisions.

### Limitations

- ATS APIs and public boards can change.
- Workday and custom career pages are not supported in v1.
- Some boards may be empty, private, renamed, or blocked.
- Scoring is rule-based in v1; future versions may add optional AI summaries.

# Actor input Schema

## `atsBoards` (type: `array`):

Public ATS boards to scan. Supported ats values: greenhouse, lever, ashby.

## `targetKeywords` (type: `array`):

Extra keywords that increase the intent score when found in title, department, location, or description.

## `minIntentScore` (type: `integer`):

Only output jobs with this score or higher.

## `maxJobsPerSource` (type: `integer`):

Maximum number of jobs to fetch from each ATS board.

## `maxTotalResults` (type: `integer`):

Maximum number of scored job-intent rows to write to the dataset.

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

Maximum number of ATS boards to request at the same time.

## `requestTimeoutSecs` (type: `integer`):

HTTP request timeout for each ATS API call.

## `intentKeywordMap` (type: `object`):

Optional object like {"category": \["keyword 1", "keyword 2"]}. These categories are added to the built-in scoring categories.

## Actor input object example

```json
{
  "atsBoards": [
    {
      "ats": "greenhouse",
      "company": "Stripe",
      "token": "stripe"
    },
    {
      "ats": "greenhouse",
      "company": "Airbnb",
      "token": "airbnb"
    },
    {
      "ats": "ashby",
      "company": "Perplexity",
      "token": "perplexity"
    }
  ],
  "targetKeywords": [
    "sales",
    "security",
    "data",
    "ai",
    "revops"
  ],
  "minIntentScore": 0,
  "maxJobsPerSource": 250,
  "maxTotalResults": 1000,
  "maxConcurrency": 5,
  "requestTimeoutSecs": 30,
  "intentKeywordMap": {}
}
```

# Actor output Schema

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

Scored job postings with inferred hiring-intent categories, matched keywords, and suggested sales angles.

## `summary` (type: `string`):

Counts for sources scanned, jobs found, results pushed, and errors.

## `errors` (type: `string`):

Per-source errors, if any source failed while other sources continued.

# 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 = {
    "atsBoards": [
        {
            "ats": "greenhouse",
            "company": "Stripe",
            "token": "stripe"
        },
        {
            "ats": "greenhouse",
            "company": "Airbnb",
            "token": "airbnb"
        },
        {
            "ats": "ashby",
            "company": "Perplexity",
            "token": "perplexity"
        }
    ],
    "targetKeywords": [
        "sales",
        "security",
        "data",
        "ai",
        "revops"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("tstark84/multi-ats-hiring-intent-monitor").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 = {
    "atsBoards": [
        {
            "ats": "greenhouse",
            "company": "Stripe",
            "token": "stripe",
        },
        {
            "ats": "greenhouse",
            "company": "Airbnb",
            "token": "airbnb",
        },
        {
            "ats": "ashby",
            "company": "Perplexity",
            "token": "perplexity",
        },
    ],
    "targetKeywords": [
        "sales",
        "security",
        "data",
        "ai",
        "revops",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("tstark84/multi-ats-hiring-intent-monitor").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 '{
  "atsBoards": [
    {
      "ats": "greenhouse",
      "company": "Stripe",
      "token": "stripe"
    },
    {
      "ats": "greenhouse",
      "company": "Airbnb",
      "token": "airbnb"
    },
    {
      "ats": "ashby",
      "company": "Perplexity",
      "token": "perplexity"
    }
  ],
  "targetKeywords": [
    "sales",
    "security",
    "data",
    "ai",
    "revops"
  ]
}' |
apify call tstark84/multi-ats-hiring-intent-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,tstark84/multi-ats-hiring-intent-monitor"
        }
    }
}
```

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/5twpzrGp6x5DopQqi/builds/VlXDqNRTIgXBfhbZG/openapi.json