# B2B Company Tech Stack & Hiring Velocity Detector

**Use case:** 

Generate company-level B2B sales intelligence profiles showing total open roles, hiring velocity by department, and enterprise tools mentioned in job descriptions.

## Input

```json
{
  "companyTargets": [
    "stripe",
    "openai",
    "figma"
  ],
  "maxJobsPerCompany": 15,
  "includeCompanySummary": true,
  "keywordFilter": "",
  "remoteOnly": false,
  "maxSpendUsd": 10,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "record_type": {
    "label": "Record type",
    "format": "string"
  },
  "company_slug": {
    "label": "Company",
    "format": "string"
  },
  "ats_platform": {
    "label": "ATS Platform",
    "format": "string"
  },
  "total_open_jobs": {
    "label": "Total Open Jobs",
    "format": "integer"
  },
  "remote_jobs_count": {
    "label": "Remote Roles",
    "format": "number"
  },
  "detected_tech_stack": {
    "label": "Company Tech Stack",
    "format": "array"
  },
  "department_counts": {
    "label": "Department counts"
  },
  "board_url": {
    "label": "Board URL",
    "format": "text"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Greenhouse, Lever & Ashby Scraper: Jobs, Salary & Tech Stack Actor is ready to run with the inputs already set for "B2B Company Tech Stack & Hiring Velocity Detector". [Sign up or log in](https://console.apify.com/create-task-from-example/6M944ynXhB9Unck0E) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "B2B Company Tech Stack & Hiring Velocity Detector" task

The Greenhouse, Lever & Ashby Scraper: Jobs, Salary & Tech Stack Actor will start running based on the input automatically. You can also change all the input fields, like company board urls or slugs, max jobs per company, and more, to match your specific use case.

### 3. Receive the "B2B Company Tech Stack & Hiring Velocity Detector" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as record type, company, ATS Platform, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "B2B Company Tech Stack & Hiring Velocity Detector" task via API](https://apify.com/storeintel/greenhouse-lever-ashby-jobs-scraper.md).

## FAQ

### How does job-based tech stack detection work?

The Actor scans all open job descriptions for 80+ enterprise technologies (AWS, Snowflake, Databricks, Kubernetes, Salesforce, HubSpot, Okta, etc.) and aggregates them per company.

### Why use hiring velocity for B2B outbound sales?

Companies actively hiring in Engineering, Security, or Revenue teams have approved budget and immediate tooling needs.

## About this Actor

This example demonstrates how to use [Greenhouse, Lever & Ashby Scraper: Jobs, Salary & Tech Stack](https://apify.com/storeintel/greenhouse-lever-ashby-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/storeintel/greenhouse-lever-ashby-jobs-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/storeintel/greenhouse-lever-ashby-jobs-scraper.md

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`).