# ATS Hiring Intent & Buying Signal Analyzer (`matiaslencina/hiring-intent-buying-signal-analyzer`) Actor

Turn Greenhouse, Lever, Ashby, and Personio job boards into company-level B2B buying signals. Detect team growth, tech-stack clues, likely software needs, hiring momentum, and evidence-backed sales triggers.

- **URL**: https://apify.com/matiaslencina/hiring-intent-buying-signal-analyzer.md
- **Developed by:** [Matias Lencina](https://apify.com/matiaslencina) (community)
- **Categories:** Lead generation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $8.00 / 1,000 company buying signals

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?

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

## ATS Hiring Intent & Buying Signal Analyzer

Turn public company job boards into **B2B hiring intent and buying signals**.

Give the Actor Greenhouse, Lever, Ashby, or Personio careers pages and get one company-level result that explains **what the company is hiring for, what that growth may imply, and which software categories may become relevant**.

### What you get

For each company:

- 0–100 buying-signal score
- `hot`, `strong`, `medium`, or `early` signal
- dominant hiring intent
- recent hiring momentum
- evidence roles behind each signal
- senior / leadership hiring
- remote and geographic hiring spread
- technologies mentioned in job descriptions
- likely software / service needs
- evidence-backed sales angles
- optional keyword monitoring

Weak `early` opportunities are filtered by default (`minSignalScore: 35`).

### Examples of hiring → commercial signals

- Platform / SRE hiring → cloud, observability, DevOps, CI/CD
- Security hiring → IAM, SIEM, compliance, risk tooling
- Data engineers → warehouse, ELT, data observability
- SDR / RevOps growth → CRM, lead data, sales intelligence
- Recruiting growth → ATS, HRIS, payroll, people analytics

### Supported ATS sources

- Greenhouse
- Lever
- Ashby
- Personio

You can provide supported job-board URLs or normal company websites and let the Actor discover compatible careers links.

### Why use this instead of a job scraper?

A raw job scraper tells you *who is hiring*.

This Actor is built for **hiring intent, buying signals, sales intelligence, B2B lead generation, and account research**. It compresses many job postings into one actionable company-level signal.

### Example input

```json
{
  "companyUrls": [
    "https://job-boards.greenhouse.io/tailscale",
    "https://jobs.lever.co/aleph"
  ],
  "lookbackDays": 30,
  "maxCompanies": 20,
  "maxJobsPerCompany": 250,
  "discoverFromWebsite": true,
  "includeTechStack": true,
  "watchKeywords": ["Kubernetes", "Salesforce", "Snowflake"],
  "requireBuyingSignal": true,
  "minSignalScore": 35
}
```

No LinkedIn cookies, login credentials, or paid enrichment API are required.

### Responsible use

Buying signals are heuristic commercial indicators, not proof that a company will purchase a specific product. Use the evidence roles and source job board when validating important sales or investment decisions.

# Actor input Schema

## `companyUrls` (type: `array`):

Company websites or career-board URLs. Supports Greenhouse, Lever, Ashby and Personio. Example: https://job-boards.greenhouse.io/greenhouse

## `lookbackDays` (type: `integer`):

Jobs published or updated inside this window count as recent hiring momentum.

## `maxCompanies` (type: `integer`):

Maximum number of companies to analyze in a single run.

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

Maximum number of live jobs to inspect per company to control runtime and cost.

## `discoverFromWebsite` (type: `boolean`):

If the input is a normal company website, inspect public careers links to find a supported ATS.

## `includeTechStack` (type: `boolean`):

Extract commonly mentioned infrastructure, data, security, CRM and developer technologies from job descriptions.

## `watchKeywords` (type: `array`):

Optional keywords that matter to your product, e.g. Kubernetes, Salesforce, SOC 2, Snowflake.

## `requireBuyingSignal` (type: `boolean`):

Skip companies where no meaningful buying-signal category is detected.

## `minSignalScore` (type: `integer`):

Only return companies whose computed buying-signal score is at least this value. The default 35 filters out weak/early signals and returns medium, strong, or hot opportunities.

## Actor input object example

```json
{
  "companyUrls": [
    "https://job-boards.greenhouse.io/tailscale",
    "https://jobs.lever.co/aleph"
  ],
  "lookbackDays": 30,
  "maxCompanies": 20,
  "maxJobsPerCompany": 250,
  "discoverFromWebsite": true,
  "includeTechStack": true,
  "watchKeywords": [],
  "requireBuyingSignal": true,
  "minSignalScore": 35
}
```

# Actor output Schema

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

One structured company-level signal row per successfully analyzed ATS board.

# 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("matiaslencina/hiring-intent-buying-signal-analyzer").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("matiaslencina/hiring-intent-buying-signal-analyzer").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 matiaslencina/hiring-intent-buying-signal-analyzer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,matiaslencina/hiring-intent-buying-signal-analyzer"
        }
    }
}
```

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/GZBfr10dO2MAydwIf/builds/Gbi7fMKcm2Da7OPYN/openapi.json