# Multi-ATS Work Management Tool Demand (`neuton/multi-ats-work-management-tool-demand`) Actor

Measure explicit collaboration and work-management tool demand across public company ATS boards.

- **URL**: https://apify.com/neuton/multi-ats-work-management-tool-demand.md
- **Developed by:** [Neuton Scripts](https://apify.com/neuton) (community)
- **Categories:** Jobs, Business, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$18.00 / 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.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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

## Multi-ATS Work Management Tool Demand

Measure explicit collaboration and work-management tool demand across public company ATS boards. Built for collaboration and work-management vendors tracking explicit product demand in hiring text. It returns one decision-ready company analysis instead of another raw job dump.

### Start in 30 seconds

```json
{
  "companies": [
    {
      "company": "Stripe",
      "boards": [
        {
          "provider": "greenhouse",
          "slug": "stripe"
        }
      ]
    },
    {
      "company": "Cloudflare",
      "boards": [
        {
          "provider": "greenhouse",
          "slug": "cloudflare"
        }
      ]
    },
    {
      "company": "OpenAI",
      "boards": [
        {
          "provider": "ashby",
          "slug": "OpenAI"
        }
      ]
    },
    {
      "company": "Palantir",
      "boards": [
        {
          "provider": "lever",
          "slug": "palantir"
        }
      ]
    }
  ],
  "maxJobsPerCompany": 100,
  "termDictionary": [
    "Jira",
    "Confluence",
    "Slack",
    "Notion",
    "Asana",
    "Monday.com"
  ]
}
```

Run the sample, inspect the Dataset, then replace the companies and public ATS identifiers. Save recurring inputs as Apify Tasks or call this Actor through API, webhooks, Make, n8n, Zapier, ChatGPT, Claude, or Neuton Actors MCP.

### Output

Each successful company analysis includes `company`, `totalOpenJobs`, `jobsAnalyzed`, `matchedJobs`, `technologyCounts`, `technologyShares`, `buyerTeams`, `demandScore`, `scoreReasons`, `evidenceJobUrls`, `atsSources`, `scrapedAt`. Scores use explicit deterministic weights and always include `scoreReasons` plus source job URLs; they are prioritization aids, not claims that a company has approved a purchase or budget.

### Buyer workflows

- Prioritize target accounts or recruiting markets from current public hiring evidence
- Monitor disclosed functional and technology demand on a schedule
- Send evidence-backed company signals into CRMs, warehouses, alerts, and RAG workflows
- Compare companies with a normalized output contract across seven public ATS providers
- Keep absent, unknown, and unsupported signals explicit instead of inventing data

### Pricing

Launch price: **$18.00 per 1,000 company work-management tool demand analyses**. One successfully analyzed company produces one billable row. Failed companies, empty inputs, diagnostics, duplicates, and unsupported inferences are not billed.

### Reliability and data contract

This pure-HTTP Actor runs at 256 MB against public company career-board endpoints. A company row is emitted only when the selected disclosed signal exists. Source failures are logged and never converted into fabricated zeroes or positive scores.

### Responsible use

Use public hiring evidence for legitimate recruiting, sales research, market analysis, education planning, and investment research. Do not infer protected characteristics, private budgets, layoffs, employee performance, or guaranteed purchase intent. Do not use results for spam or consequential automated decisions. Verify material decisions against the linked source.

### SEO keywords

multi ATS scraper, company hiring signals, buying intent data, recruiting intelligence, Greenhouse jobs data, Lever jobs data, Ashby jobs data, Workday jobs data, SmartRecruiters jobs data, Recruitee jobs data, Personio jobs data, B2B account signals, sales intelligence API, security tool demand, revenue technology intent, CRM demand, database infrastructure demand, work management software demand, BI analytics demand, MCP sales intelligence.

# Actor input Schema

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

Company names paired with public ATS provider and board identifiers.

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

Caps source jobs analyzed for each company to control run cost.

## `termDictionary` (type: `array`):

Case-insensitive public job-text terms used by the deterministic analysis.

## Actor input object example

```json
{
  "companies": [
    {
      "company": "Stripe",
      "boards": [
        {
          "provider": "greenhouse",
          "slug": "stripe"
        }
      ]
    },
    {
      "company": "Cloudflare",
      "boards": [
        {
          "provider": "greenhouse",
          "slug": "cloudflare"
        }
      ]
    },
    {
      "company": "OpenAI",
      "boards": [
        {
          "provider": "ashby",
          "slug": "OpenAI"
        }
      ]
    },
    {
      "company": "Palantir",
      "boards": [
        {
          "provider": "lever",
          "slug": "palantir"
        }
      ]
    }
  ],
  "maxJobsPerCompany": 100,
  "termDictionary": [
    "Jira",
    "Confluence",
    "Slack",
    "Notion",
    "Asana",
    "Monday.com"
  ]
}
```

# Actor output Schema

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

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("neuton/multi-ats-work-management-tool-demand").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("neuton/multi-ats-work-management-tool-demand").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 '{}' |
apify call neuton/multi-ats-work-management-tool-demand --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuton/multi-ats-work-management-tool-demand"
        }
    }
}

```

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/5iUFlDS2ulECX7eI2/builds/1NJI8XCVRx47rj17d/openapi.json