# Greenhouse Clean Job Lead Extractor (No Junk Data) (`nacreous_sunstone/greenhouse-sales-signals-scraper`) Actor

Extracts clean, high-intent B2B hiring signals (open roles, departments, locations) from public Greenhouse job boards, with zero proxy overhead. Perfect for sales teams and outbound marketing pipelines.

- **URL**: https://apify.com/nacreous\_sunstone/greenhouse-sales-signals-scraper.md
- **Developed by:** [Noah S](https://apify.com/nacreous_sunstone) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Greenhouse Job Board Scraper: High-Intent B2B Sales Signals

An enterprise-grade, high-speed data utility built specifically for **B2B sales teams, outbound marketers, and recruiting agencies** who need to monitor company hiring intent in real-time.

Unlike generic data-dump tools that clog your workflow with 60+ fields of messy website metadata, this Actor focuses strictly on delivering **clean, structured, ready-to-use sales leads** directly from target public Greenhouse career boards.

### 🚀 Key Value Propositions

- **Zero Proxy Overhead:** Programmed with rotating, lightweight header distributions to operate seamlessly on public, un-blocked career endpoints. Run high-volume multi-company checks using standard datacenter networks without paying an expensive residential proxy tax.
- **Near-Zero Compute Costs:** Built with an optimized execution framework that captures target data components immediately upon DOM readiness, minimizing cloud server memory retention and processing times.
- **Multi-Tenant Resilience:** Built to handle bulk business tasks. Provide an entire roster of target company URLs or board tokens simultaneously; the engine processes the queue asynchronously and logs dead or invalid company targets cleanly without interrupting the overall batch run.

### 📥 Input Parameters

The tool accepts a clean, minimalist schema design optimized for smooth user configuration and automatic indexing by Apify's AI Discovery agent:

- **`urls`** *(Array of Strings)*: Full direct paths to target corporate career frames (e.g., `https://boards.greenhouse.io/stripe`).
- **`companyIds`** *(Array of Strings)*: Clean organizational slugs/tokens (e.g., `stripe`) for faster bulk query automation.
- **`maxConcurrency`** *(Integer)*: Operational ceiling control (Default: `2`) to perfectly balance speed requirements against compute consumption preferences.

### 📤 Output Structure

The scraper delivers highly organized, semantic JSON arrays containing only the 5 essential fields required to drive high-converting cold outbound campaigns:

```json
{
  "company_name": "Stripe",
  "job_title": "Senior Enterprise Account Executive",
  "department": "Sales",
  "job_location": "San Francisco, CA (Hybrid)",
  "posting_url": "https://greenhouse.io"
}
```

### 🛠️ Ideal B2B Use Cases

1. **Sales Intelligence Signals:** Spot exactly when a target enterprise account initiates a hiring surge for roles that operate directly around your B2B SaaS product or agency service line.
2. **Territory Routing & Segmentation:** Leverage clean data structures to automatically sort, segment, and assign freshly generated target accounts directly into localized sales rep pipelines based on geographical regions.
3. **Competitive Tracking:** Maintain clear, hands-off oversight on competitors' product and engineering expansions by monitoring their department resource growth metrics.

# Actor input Schema

## `urls` (type: `array`):

Direct URLs to public Greenhouse job board pages, one per company (e.g. https://boards.greenhouse.io/stripe). Use this field when you already have the exact career page link(s) you want scraped for open positions and hiring signals.

## `companyIds` (type: `array`):

Short Greenhouse company board tokens (the slug in the board URL, e.g. 'stripe' from boards.greenhouse.io/stripe). Use this as a faster shortcut instead of full URLs when you only know the company name or slug. It will be automatically expanded into a live board URL.

## `maxConcurrency` (type: `integer`):

Maximum number of company job boards crawled in parallel. Lower values minimize Compute Unit consumption for cost-sensitive runs; higher values finish faster for large multi-company batches.

## `requestDelayMs` (type: `integer`):

Minimum spacing, in milliseconds, enforced between outbound requests to Greenhouse's API during the light-fetch stage. Keeps large multi-company batches polite towards Greenhouse's infrastructure and reduces the chance of triggering rate-limiting, which would otherwise push more companies into the costlier Playwright fallback. Set to 0 to disable.

## Actor input object example

```json
{
  "companyIds": [
    "stripe"
  ],
  "maxConcurrency": 2,
  "requestDelayMs": 250
}
```

# Actor output Schema

## `company_name` (type: `string`):

Cleaned, human-readable name of the hiring company as it appears on its Greenhouse job board.

## `job_title` (type: `string`):

Exact, unmodified title of the open position as posted by the company.

## `department` (type: `string`):

Parsed hiring department or team category.

## `job_location` (type: `string`):

Cleaned geographic location of the role.

## `posting_url` (type: `string`):

Direct, live URL to the specific Greenhouse job posting.

# 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 = {
    "companyIds": [
        "stripe"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("nacreous_sunstone/greenhouse-sales-signals-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 = { "companyIds": ["stripe"] }

# Run the Actor and wait for it to finish
run = client.actor("nacreous_sunstone/greenhouse-sales-signals-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 '{
  "companyIds": [
    "stripe"
  ]
}' |
apify call nacreous_sunstone/greenhouse-sales-signals-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nacreous_sunstone/greenhouse-sales-signals-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/NyV9XgV0RXZGyjLKz/builds/h4pJqq8tKLFTwmpxI/openapi.json