# Find Companies Hiring & Tech Job Signals (Laya & JEV AI) (`eternallabs/find-companies-hiring-tech-job-signals-laya-jev-ai`) Actor

Discover companies actively hiring and expanding their teams. Track open developer jobs, tech stack hiring, and recruitment velocity.

- **URL**: https://apify.com/eternallabs/find-companies-hiring-tech-job-signals-laya-jev-ai.md
- **Developed by:** [Jona](https://apify.com/eternallabs) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## 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 Signal Finder

> **Find companies that are growing and hiring.**

Powered by **open-source Laya decision intelligence** with optional Jev and deterministic rules fallback.

### Core Question Answered

**Which companies are actively growing or hiring?**

### What It Does

- Discovers companies with active open job listings across your target industries and locations
- Analyzes job descriptions to detect technology hiring, department expansion, and seniority growth
- Computes a **hiring signal score (0-100)** calibrated by velocity, volume, and relevance
- Identifies the most likely growth area based on verified public job signals
- Supports **Actor chaining** — pipe in results from Business Opportunity Finder or AI Prospect Intelligence

### Important Principle

> Hiring is a **potential signal**, not proof of purchase intent.

### Example Input (JSON)

```json
{
  "jobKeywords": [
    "Software Engineer",
    "AI Engineer",
    "DevOps Engineer",
    "Product Manager"
  ],
  "technologies": [
    "Python",
    "AWS",
    "Kubernetes",
    "React"
  ],
  "industries": [
    "Fintech",
    "SaaS & Cloud",
    "Healthcare & Biotech"
  ],
  "locations": [
    "San Francisco, CA",
    "New York, NY",
    "London, UK",
    "Remote"
  ],
  "companySize": "51-200",
  "maxCompanies": 5,
  "decisionEngine": "laya",
  "targetCompanies": [
    {
      "name": "Stripe",
      "website": "https://stripe.com",
      "industry": "Fintech"
    },
    {
      "name": "Datadog",
      "website": "https://datadoghq.com",
      "industry": "SaaS & Cloud"
    },
    {
      "name": "Retool",
      "website": "https://retool.com",
      "industry": "Developer Tools"
    }
  ]
}
```

### Example Output

```json
{
  "company_name": "CloudScale Data Technologies",
  "website": "https://cloudscaledata.io",
  "industry": "SaaS & Cloud",
  "open_job_count": 18,
  "relevant_job_count": 12,
  "hiring_velocity": "rapid",
  "technology_hiring": ["Python", "Kubernetes", "Terraform", "Snowflake"],
  "department_growth": ["Engineering", "Product"],
  "seniority_growth": "senior",
  "hiring_signal_score": 87,
  "likely_growth_area": "Cloud infrastructure & data engineering expansion",
  "evidence": [
    {
      "source": "careers_portal",
      "evidence": "18 open positions detected, 12 directly matching target keywords",
      "confidence": 0.9
    }
  ]
}
```

### Monetization

Pay Per Event: `qualified-company-signal`

**Powered by open-source Laya decision intelligence with optional Jev support.**

# Actor input Schema

## `jobKeywords` (type: `array`):

Target job titles or skill sets to track (e.g. 'Software Engineer', 'DevOps', 'Data Scientist', 'Sales Executive').

## `technologies` (type: `array`):

Specific tools or frameworks mentioned in job descriptions (e.g. 'Python', 'AWS', 'Kubernetes', 'Snowflake').

## `industries` (type: `array`):

Industry verticals to search.

## `locations` (type: `array`):

Geographic hubs to scan for hiring.

## `countries` (type: `array`):

Target countries.

## `companySize` (type: `string`):

Headcount bracket (e.g., '1-10', '11-50', '51-200', '201-500', '501+').

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

Maximum number of companies to analyze.

## `decisionEngine` (type: `string`):

System-1 decision engine: 'laya' (default open-source), 'jev', or 'rules'.

## `upstreamDatasetIdOrUrl` (type: `string`):

Optionally chain from upstream Actor output (e.g. Business Opportunity Finder or AI Prospect Intelligence).

## `seedCompanies` (type: `array`):

Direct list of companies to collect hiring signals for.

## `targetCompanies` (type: `array`):

Direct list of target companies to collect hiring signals for. Each: {name, website, industry}

## Actor input object example

```json
{
  "jobKeywords": [
    "Software Engineer",
    "AI Engineer",
    "DevOps Engineer",
    "Product Manager"
  ],
  "technologies": [
    "Python",
    "AWS",
    "Kubernetes",
    "React"
  ],
  "industries": [
    "Fintech",
    "SaaS & Cloud",
    "Healthcare & Biotech"
  ],
  "locations": [
    "San Francisco, CA",
    "New York, NY",
    "London, UK",
    "Remote"
  ],
  "countries": [
    "United States",
    "United Kingdom"
  ],
  "companySize": "51-200",
  "maxCompanies": 10,
  "decisionEngine": "laya",
  "targetCompanies": [
    {
      "name": "Stripe",
      "website": "https://stripe.com",
      "industry": "Fintech"
    },
    {
      "name": "Datadog",
      "website": "https://datadoghq.com",
      "industry": "SaaS & Cloud"
    },
    {
      "name": "Retool",
      "website": "https://retool.com",
      "industry": "Developer Tools"
    }
  ]
}
```

# Actor output Schema

## `signals` (type: `string`):

Dataset of expanding companies with job counts, velocity, and technology hiring.

## `csv` (type: `string`):

Download spreadsheet of hiring signals.

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

Aggregated metrics including high velocity companies and top hired technologies.

# 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 = {
    "targetCompanies": [
        {
            "name": "Stripe",
            "website": "https://stripe.com",
            "industry": "Fintech"
        },
        {
            "name": "Datadog",
            "website": "https://datadoghq.com",
            "industry": "SaaS & Cloud"
        },
        {
            "name": "Retool",
            "website": "https://retool.com",
            "industry": "Developer Tools"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("eternallabs/find-companies-hiring-tech-job-signals-laya-jev-ai").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 = { "targetCompanies": [
        {
            "name": "Stripe",
            "website": "https://stripe.com",
            "industry": "Fintech",
        },
        {
            "name": "Datadog",
            "website": "https://datadoghq.com",
            "industry": "SaaS & Cloud",
        },
        {
            "name": "Retool",
            "website": "https://retool.com",
            "industry": "Developer Tools",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("eternallabs/find-companies-hiring-tech-job-signals-laya-jev-ai").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 '{
  "targetCompanies": [
    {
      "name": "Stripe",
      "website": "https://stripe.com",
      "industry": "Fintech"
    },
    {
      "name": "Datadog",
      "website": "https://datadoghq.com",
      "industry": "SaaS & Cloud"
    },
    {
      "name": "Retool",
      "website": "https://retool.com",
      "industry": "Developer Tools"
    }
  ]
}' |
apify call eternallabs/find-companies-hiring-tech-job-signals-laya-jev-ai --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,eternallabs/find-companies-hiring-tech-job-signals-laya-jev-ai"
        }
    }
}
```

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/SN7AfocrJGu3Gquo7/builds/XVOkXRQ7Bf7OdrHp2/openapi.json