# B2B Hiring Intent & Tech Stack Trigger Scraper (`unlimitedbands/tech-stack-intent-job-scraper`) Actor

Extracts active B2B hiring intent signals across global tech job feeds, Greenhouse, and Lever boards. Identifies companies actively hiring for 55+ software, cloud, CRM, and AI tech stacks with company domain resolution and urgency scoring.

- **URL**: https://apify.com/unlimitedbands/tech-stack-intent-job-scraper.md
- **Developed by:** [Archie Campbell](https://apify.com/unlimitedbands) (community)
- **Categories:** Jobs, Lead generation, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 intent lead extracteds

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 Hiring Intent & Tech Stack Sales Trigger Scraper (MCP Ready)

Find companies **actively spending budget right now** by mining live technical, RevOps, data, and security job postings across global job feeds and Greenhouse ATS boards.

Instead of returning raw, unstructured job descriptions for job-seekers, this Actor is purpose-built for **B2B outbound sales teams, recruiting agencies, Clay.com workflows, and AI SDR agents**:

- Scans job descriptions for **58+ enterprise software, cloud, data, AI, and CRM technologies** (`Snowflake`, `Databricks`, `Kubernetes`, `Terraform`, `Salesforce`, `HubSpot`, `Clay`, `OpenAI`, `LangChain`, `Stripe`, `SOC 2`, etc.).
- Resolves the **hiring company's domain** (`companyDomain`) so you can immediately enrich decision-makers.
- Classifies the **target buyer department** (`Engineering & DevOps`, `Data & AI`, `Revenue / Sales / Marketing`, `Security & Compliance`, `Product & Design`).
- Auto-generates a **ready-to-send outbound icebreaker (`salesHook`)** referencing the exact open role and tech stack.

***

### Output Example

```json
{
  "companyName": "DataScale AI",
  "companyDomain": "datascale.io",
  "jobTitle": "Senior Data Platform Engineer",
  "department": "Data & AI",
  "detectedTechStack": ["AWS", "Airflow", "Kubernetes", "Python", "Snowflake", "Terraform"],
  "matchedTargetTech": ["AWS", "Kubernetes", "Python", "Snowflake"],
  "location": "Remote (US / EU)",
  "salaryRange": "$160,000 - $195,000",
  "intentScore": 95,
  "salesHook": "Saw DataScale AI is scaling the Data & AI team with a Senior Data Platform Engineer role working across AWS, Kubernetes, Python—wanted to share how teams automate that workflow.",
  "jobUrl": "https://datascale.io/careers/senior-data-engineer",
  "sourceBoard": "Remotive-API",
  "publishedAt": "2026-10-22T12:00:00Z",
  "scrapedAt": "2026-10-22T20:05:00+00:00"
}
```

# Actor input Schema

## `targetTechKeywords` (type: `array`):

Filter for companies mentioning these technologies or tools in active job postings (leave empty to capture all detected tech stacks).

## `searchQuery` (type: `string`):

Optional role keyword (e.g., 'Engineer', 'RevOps', 'Data', 'Security').

## `greenhouseBoards` (type: `array`):

Optional list of company Greenhouse board slugs (e.g., 'stripe', 'cloudflare') to query directly via Greenhouse JSON API.

## `customFeedUrls` (type: `array`):

Optional direct JSON feed URLs (used for custom ATS endpoints or local integration testing).

## `maxItems` (type: `integer`):

Maximum number of qualified hiring-intent leads to output.

## Actor input object example

```json
{
  "targetTechKeywords": [
    "Python",
    "AWS",
    "Kubernetes",
    "HubSpot",
    "Snowflake"
  ],
  "searchQuery": "",
  "greenhouseBoards": [],
  "customFeedUrls": [],
  "maxItems": 50
}
```

# Actor output Schema

## `intentLeads` (type: `string`):

No description

## `runSummary` (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("unlimitedbands/tech-stack-intent-job-scraper").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("unlimitedbands/tech-stack-intent-job-scraper").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 unlimitedbands/tech-stack-intent-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,unlimitedbands/tech-stack-intent-job-scraper"
        }
    }
}
```

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/0RQX48Mg07ViJETeB/builds/fylofC7UEQkLA1l9M/openapi.json