# B2B Tech Stack & Hiring Intent Engine - ATS Growth Signals (`emancip/b2b-company-tech-hiring-intent-engine`) Actor

Cross-reference any company domain or Greenhouse ATS to extract verified website tech stack, live open roles, department hiring velocity, executive expansion, and algorithmic B2B buying intent signals. Fast, zero proxies, zero API keys needed.

- **URL**: https://apify.com/emancip/b2b-company-tech-hiring-intent-engine.md
- **Developed by:** [EmanCip](https://apify.com/emancip) (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 $5.00 / 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/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

## 🏢 B2B Tech Stack & Hiring Intent Engine

> Advanced B2B Growth Intelligence: Cross-reference any company domain or Greenhouse ATS to extract **verified website technology**, **active open roles**, **departmental hiring velocity**, **executive leadership expansion**, and **algorithmic B2B buying intent signals** — with **zero browser overhead and zero proxy costs**.

***

### ⚡ Key Features

- **Cross-Referenced Intent Intelligence:** Combines real-time website tech stack detection (Salesforce, HubSpot, Segment, AWS, Datadog, Snowflake) with live Greenhouse ATS job openings to uncover confirmed software migration & expansion projects.
- **Algorithmic Hiring Velocity Index (0–100):** Quantifies how fast a company is scaling based on open role volume and cross-departmental distribution.
- **Department & Seniority Breakdown:** Categorizes every open position into Engineering, Sales/GTM, AI/Data Science, Product, Marketing, and Operations, alongside seniority tiers (Executive/VP, Director, Senior/Staff, Mid/Entry).
- **Estimated Annual Added Payroll:** Calculates mathematically the annual budget being injected into new headcount based on seniority benchmarks.
- **Top In-Demand Tech Skills:** Scans all open roles for high-value technical keywords (Python, Golang, Kubernetes, Terraform, PyTorch, LLMs, Snowflake, Salesforce).
- **Zero Proxies & Zero API Keys Needed:** Operates cleanly on official Greenhouse JSON APIs and direct lightweight HTTP checks with 100% reliability.

***

### 📥 Input Parameters

| Field | Type | Default | Description |
|---|---|---|---|
| `companies` | `array` | *Stripe, Figma, Datadog, Cloudflare, Airbnb, GitLab* | List of company names (`stripe`), website domains (`https://www.cloudflare.com`), or direct Greenhouse board URLs (`https://boards.greenhouse.io/figma`). |
| `enrichWebsiteTech` | `boolean` | `true` | Crawl company homepage to extract analytics, CRM, cloud hosting, and marketing pixels. |
| `minRolesFilter` | `integer` | `0` | Filter out companies with fewer than this number of active open positions. |
| `maxJobsReturnedPerCompany` | `integer` | `25` | Maximum number of specific job postings to include in the `sample_open_roles` array. |

***

### 📤 Output Data Format (JSON)

```json
{
  "company_name": "Figma",
  "company_slug": "figma",
  "company_website": "https://figma.com",
  "greenhouse_url": "https://boards.greenhouse.io/figma",
  "total_open_roles": 141,
  "hiring_velocity_score": 100,
  "primary_intent_signal": "🔥 High-Velocity Sales & Revenue Scaling | 💻 Massive Engineering Expansion",
  "estimated_annual_payroll_expansion_usd": "$17.3M",
  "detected_website_tech": [
    "AWS",
    "Cloudflare",
    "Google Analytics (GA4)",
    "Google Tag Manager",
    "Next.js",
    "React",
    "Segment"
  ],
  "engineering_roles_count": 33,
  "sales_gtm_roles_count": 39,
  "ai_data_roles_count": 9,
  "executive_roles_count": 2,
  "director_roles_count": 5,
  "senior_roles_count": 48,
  "department_distribution": {
    "Sales & GTM": 39,
    "General / Other": 38,
    "Engineering & Dev": 33,
    "Product & Design": 10,
    "AI & Data Science": 9,
    "Marketing & Growth": 7
  },
  "top_skills_in_demand": ["Machine Learning", "Python", "React", "TypeScript"],
  "top_locations": ["San Francisco, CA", "New York, NY", "London, UK"],
  "sample_open_roles": [
    {
      "job_id": "5426468004",
      "title": "Account Executive, Enterprise",
      "department": "Sales & GTM",
      "location": "San Francisco, CA",
      "url": "https://boards.greenhouse.io/figma/jobs/5426468004"
    }
  ]
}
```

***

### 🎯 High-Value Use Cases

1. **B2B SaaS Prospecting (Intent-Based Selling):** Identify companies with 20+ open sales roles (buying CRM/sales software) or 30+ engineering roles (buying DevOps/cloud tools) before your competitors reach them.
2. **Venture Capital & Growth Equity Sourcing:** Track startup talent expansion velocity to discover breakout companies scaling their headcount 3x faster than market average.
3. **Executive Recruiting & Staffing Agencies:** Target enterprises hiring Directors and VPs with multimillion-dollar hiring budgets.
4. **Competitor Tech Stack Benchmarking:** Discover which cloud technologies and programming languages your competitors are aggressively hiring for.

***

### 💰 Pay-Per-Event (PPE) Pricing

- **Actor Start:** `$0.01`
- **Per Analyzed Enterprise Company:** `$0.005` (`$5.00` per 1,000 comprehensive company intelligence records)
- **Proxy Cost:** `$0.00` (100% pure profit)

# Actor input Schema

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

Enter company names (e.g. 'stripe', 'figma', 'datadog'), website domains ('https://www.cloudflare.com', 'airbnb.com'), or direct Greenhouse board URLs ('https://boards.greenhouse.io/gitlab').

## `enrichWebsiteTech` (type: `boolean`):

Crawls the company's official domain to extract live analytics, CRM, cloud hosting, and marketing pixels to cross-reference with hiring roles.

## `minRolesFilter` (type: `integer`):

Filter out companies with fewer than this number of open positions (set 0 to include all).

## `maxJobsReturnedPerCompany` (type: `integer`):

Maximum number of specific job postings to attach inside the sample_open_roles field for each company.

## Actor input object example

```json
{
  "companies": [
    "stripe",
    "figma",
    "datadog",
    "https://www.cloudflare.com",
    "airbnb",
    "gitlab"
  ],
  "enrichWebsiteTech": true,
  "minRolesFilter": 0,
  "maxJobsReturnedPerCompany": 25
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing verified company tech stacks, department hiring breakdowns, velocity scores, and algorithmic B2B intent signals.

# 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 = {
    "companies": [
        "stripe",
        "figma",
        "datadog",
        "https://www.cloudflare.com",
        "airbnb",
        "gitlab"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("emancip/b2b-company-tech-hiring-intent-engine").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 = { "companies": [
        "stripe",
        "figma",
        "datadog",
        "https://www.cloudflare.com",
        "airbnb",
        "gitlab",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("emancip/b2b-company-tech-hiring-intent-engine").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 '{
  "companies": [
    "stripe",
    "figma",
    "datadog",
    "https://www.cloudflare.com",
    "airbnb",
    "gitlab"
  ]
}' |
apify call emancip/b2b-company-tech-hiring-intent-engine --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,emancip/b2b-company-tech-hiring-intent-engine"
        }
    }
}
```

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/rrXSDSTV9b3P2QA5J/builds/IK4UwGzSknskSeVnl/openapi.json