# Greenhouse, Ashby & Lever Job + B2B Hiring Intent Scraper (`zinjaink/ats-job-and-hiring-intent-scraper`) Actor

Scrape live job postings, salary ranges, remote status, and 60+ B2B tech stack & buying-intent signals (Snowflake, Salesforce, HubSpot, AWS, SOC2) from Greenhouse, Ashby, and Lever career boards via fast HTTP JSON APIs.

- **URL**: https://apify.com/zinjaink/ats-job-and-hiring-intent-scraper.md
- **Developed by:** [Daniel Thairu](https://apify.com/zinjaink) (community)
- **Categories:** Lead generation, Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 ats hiring intent leads

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

## Greenhouse, Ashby & Lever Job Board + B2B Hiring Intent Scraper

Turn live company job boards into **B2B Buying Intent, Salary Intelligence, and Technographic Leads** in seconds.

When a company posts an open role mentioning `Snowflake`, `Salesforce`, `HubSpot`, `Databricks`, `Kubernetes`, `SOC 2`, or `NetSuite`, they are actively investing budget into that category. Instead of using slow headless browsers, this Actor queries the official public JSON APIs of **Greenhouse**, **Ashby**, and **Lever** on **256 MB RAM**, automatically detecting:

- **60+ B2B Tech Stack & SaaS Tool Mentions** (`detectedTechStack`)
- **Actionable B2B Buying Intent Signals** (`buyingIntentSignals` — e.g., `GTM & Revenue Operations Expansion`, `Data Stack & Warehouse Investment`, `Security, GRC & Enterprise Compliance Initiative`)
- **Disclosed Base Salary Ranges** (`minSalary`, `maxSalary`, `salarySummary`) parsed from Ashby structured compensation tiers and job descriptions
- **Seniority Classification** (`Executive / VP`, `Director`, `Staff / Principal`, `Manager / Lead`, `Senior`)

***

### Plug-and-Play Automation (Clay, n8n, Make.com)

#### Synchronous REST Endpoint

```bash
curl -X POST "https://api.apify.com/v2/acts/zinjaink~ats-job-and-hiring-intent-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "companies": ["vercel", "linear", "ramp", "cloudflare"],
    "roleKeywords": ["Account Executive", "Engineer", "Data"],
    "maxResults": 100
  }'
```

#### Chaining with `zinjaink/b2b-company-enricher`

1. Run **[B2B Company Enricher](https://apify.com/zinjaink/b2b-company-enricher)** on any list of company domains to detect their ATS (`Greenhouse`, `Ashby`, or `Lever`) and extract their verified executive emails.
2. Pass the detected ATS slugs or URLs into **`zinjaink/ats-job-and-hiring-intent-scraper`** to pull every active hiring signal, tech stack requirement, and salary band for your outbound pitch!

# Actor input Schema

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

Enter company slugs (e.g., 'vercel', 'linear', 'stripe', 'ramp', 'cloudflare') or full Greenhouse / Ashby / Lever board URLs.

## `includeBuiltInTechDirectory` (type: `boolean`):

When enabled, automatically appends 60+ curated high-growth B2B SaaS, AI, FinTech, and DevTools companies on Greenhouse, Ashby, and Lever so you can search across thousands of live roles by keyword or tech stack without needing your own slug list.

## `roleKeywords` (type: `array`):

Only return jobs whose title or department matches at least one of these keywords (e.g., 'Account Executive', 'Engineer', 'RevOps', 'Data', 'Security', 'Marketing'). Leave empty to return all open roles.

## `techStackFilter` (type: `array`):

Only return jobs whose description mentions at least one of these tools/technologies (e.g., 'Salesforce', 'HubSpot', 'Snowflake', 'Kubernetes', 'Python', 'SOC 2'). Leave empty to include all.

## `remoteOnly` (type: `boolean`):

If enabled, only returns jobs marked as Remote or with 'Remote' in the location.

## `onlyWithSalary` (type: `boolean`):

If enabled, only returns job postings that disclose a numeric base salary range (e.g., $140,000 - $190,000).

## `includeFullDescription` (type: `boolean`):

Include a 1,200-character clean text excerpt of the job description in each dataset record.

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

Maximum number of matching jobs to extract per company.

## `maxResults` (type: `integer`):

Maximum total number of job postings to return across all companies (Free tier previews up to 25 jobs; Paid tier supports up to 50,000).

## Actor input object example

```json
{
  "companies": [
    "vercel",
    "linear",
    "ramp",
    "cloudflare",
    "stripe",
    "airtable",
    "brex",
    "retool",
    "supabase",
    "posthog"
  ],
  "includeBuiltInTechDirectory": true,
  "roleKeywords": [],
  "techStackFilter": [],
  "remoteOnly": false,
  "onlyWithSalary": false,
  "includeFullDescription": false,
  "maxJobsPerCompany": 50,
  "maxResults": 250
}
```

# Actor output Schema

## `jobs` (type: `string`):

No description

## `summary` (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 = {
    "companies": [
        "vercel",
        "linear",
        "ramp",
        "cloudflare",
        "stripe",
        "airtable",
        "brex",
        "retool",
        "supabase",
        "posthog"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("zinjaink/ats-job-and-hiring-intent-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 = { "companies": [
        "vercel",
        "linear",
        "ramp",
        "cloudflare",
        "stripe",
        "airtable",
        "brex",
        "retool",
        "supabase",
        "posthog",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("zinjaink/ats-job-and-hiring-intent-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 '{
  "companies": [
    "vercel",
    "linear",
    "ramp",
    "cloudflare",
    "stripe",
    "airtable",
    "brex",
    "retool",
    "supabase",
    "posthog"
  ]
}' |
apify call zinjaink/ats-job-and-hiring-intent-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,zinjaink/ats-job-and-hiring-intent-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/7sUblUFdQfJHnwUNt/builds/lYyLBxCqJjxNKfpwy/openapi.json