# Multi-ATS Salary Transparency Intelligence (`neuton/multi-ats-salary-transparency-intelligence`) Actor

Measure disclosed salary and compensation coverage across public company ATS job boards with auditable source evidence.

- **URL**: https://apify.com/neuton/multi-ats-salary-transparency-intelligence.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

$12.00 / 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 Salary Transparency Intelligence

Measure disclosed salary and compensation coverage across public company ATS job boards with auditable source evidence. Get company-level evidence instead of another raw job dump. Built for compensation teams, recruiters, investors, and labour-market researchers.

### 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
}
```

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

### Output

Every successful company produces one auditable aggregate with `company`, `totalOpenJobs`, `jobsWithCompensation`, `compensationCoverage`, `salaryRanges`, `currencies`, `locations`, `atsSources`, `sampleJobUrls`, `scrapedAt`. Source job URLs make the counts reviewable and useful in CRMs, warehouses, dashboards, RAG, and agent workflows.

### Buyer workflows

- Benchmark which target employers disclose compensation and how coverage differs by location
- Give compensation and recruiting teams auditable source ranges before market-pricing reviews
- Track salary-transparency adoption across a company watchlist on a recurring schedule
- Feed disclosed ranges into workforce research, investor diligence, spreadsheets, BI, or AI agents
- Keep undisclosed compensation explicit instead of estimating salary from a title

### Related hiring intelligence

- [Remote Work Intelligence](https://apify.com/neuton/multi-ats-remote-work-intelligence) for remote, hybrid, and on-site hiring mix
- [Technology Skills Demand](https://apify.com/neuton/multi-ats-tech-skills-demand-intelligence) for disclosed tool and skill demand
- [Geographic Hiring Signals](https://apify.com/neuton/multi-ats-geographic-expansion-signals) for location and country concentration
- [Entry-Level Hiring Intelligence](https://apify.com/neuton/multi-ats-entry-level-hiring-intelligence) for internships, graduate roles, and early-career demand

### Pricing

Launch price: **$12.00 per 1,000 company salary-transparency aggregates**. One successfully processed company produces one billable aggregate. Failed companies, empty inputs, diagnostics, duplicates, and unsupported inferences are not billed.

### Data contract

- Preserve disclosed compensation without estimating missing salary.
- One billable aggregate only for a successfully processed company.
- Retain source urls for every summarized salary observation.
- Failed companies, diagnostics, and empty inputs are not billable.

This pure-HTTP Actor uses public career-board endpoints at 256 MB. It fails visibly on incomplete source fetches and never claims access to private ATS or candidate data.

### Responsible use

Use public hiring evidence for legitimate recruiting, workforce research, education planning, sales intelligence, and investment analysis. Do not infer protected characteristics, automate discriminatory decisions, collect private profiles, bypass access controls, or use results for spam. Verify consequential decisions against the linked source.

### SEO keywords

multi ATS scraper, company hiring intelligence, Greenhouse jobs data, Lever jobs data, Ashby jobs data, Workday jobs data, SmartRecruiters jobs data, Recruitee jobs data, Personio jobs data, salary transparency data, remote work intelligence, technology skills demand, geographic hiring signals, entry level jobs intelligence, recruiting API, sales intent data, MCP hiring data.

# 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.

## 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
}
```

# 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-salary-transparency-intelligence").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-salary-transparency-intelligence").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-salary-transparency-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuton/multi-ats-salary-transparency-intelligence"
        }
    }
}

```

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/vaYtP71cmhv4LkIIh/builds/NMpq8v3s0C9ss7zDI/openapi.json
