# Greenhouse Jobs Scraper & Intent Signals API (`aetherlabx/greenhouse-intent-signals-scraper`) Actor

Scrape jobs from any Greenhouse career page instantly. Extract clean, English-only job data with AI intent tagging (e.g., 'Data & AI') and days-active filters. Perfect for B2B sales leads, lead generation, and feeding LLMs.

- **URL**: https://apify.com/aetherlabx/greenhouse-intent-signals-scraper.md
- **Developed by:** [Aether](https://apify.com/aetherlabx) (community)
- **Categories:** Lead generation, Jobs, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.90 / 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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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 Hiring Intent Signals — The SDR's Secret Weapon

**This is NOT a generic job scraper.** It's a high-speed, API-native extractor purpose-built to feed clean, actionable hiring signals directly into LLM prompt chains and CRM outreach workflows.

A 200-person Series B company posting 6 new "Sales Engineer" roles this week isn't just hiring — they just got budget approval for a tool your software replaces. That's the signal. This Actor surfaces it in under 60 seconds, with zero HTML bloat and zero wasted tokens.

---

### Why Choose This Actor?

#### ⏱ Time-Based Filtering (`max_days_old`)

Generic scrapers dump every job posted since 2019 into your pipeline — noise that burns API credits and wastes SDR time. This Actor's **hard freshness gate** drops any job last updated more than N days ago (default: 7). You only see signals from companies actively spending budget *right now*.

#### 🏷 Auto Intent Categorization

Every job is classified into a high-level `intent_category` via zero-cost regex rules — no LLM call required:

| Category | Example Signals | Your Play |
|----------|----------------|-----------|
| `Data & AI` | Data Scientist, ML Engineer, AI Product Manager | Pitch your data infra / analytics tool |
| `Revenue` | Account Executive, SDR, VP of Sales | Pitch your CRM / sales engagement platform |
| `Engineering` | Backend Engineer, DevOps, Security Engineer | Pitch your developer tool / cloud service |
| `Product` | Product Manager, Program Manager | Pitch your project management / roadmapping tool |
| `Marketing` | Growth Marketer, Demand Gen, Content Strategist | Pitch your marketing automation / SEO tool |
| `General` | Everything else | Generic nurture |

Route each category to a different email sequence automatically — no extra AI processing needed.

#### 🌐 English-Only Guarantee

Greenhouse boards for global companies often contain duplicate job postings in French, German, Japanese, and other APAC/EMEA languages. These localised listings add zero value to your English-language outbound campaigns and burn expensive LLM tokens. This Actor **auto-detects and filters out non-English job descriptions** using a fast Unicode character-range heuristic, keeping your output lean and your token costs flat.

#### 🧹 LLM-Ready Clean Text

Forget raw HTML with nested `<div>` tags, inline styles, and 5,000-character walls of text. This Actor strips all HTML via Cheerio and produces a clean `job_summary_clean` field — the first 400 characters of plain text, word-boundary truncated. Drop it directly into your GPT prompt:

> *"Write a cold email to the Head of Engineering at {company}, referencing this job opening: {job_summary_clean}"*

---

### Input Configuration

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `company_boards` | `string[]` | **Yes** | — | Greenhouse board tokens (the subdomain slug). e.g. `"datadog"` → `https://boards.greenhouse.io/datadog` |
| `max_days_old` | `integer` | No | `7` | Skip jobs last updated more than this many days ago. Set to `1` for today-only signals, `14` for a broader sweep. Max: 90. |
| `target_departments` | `string[]` | No | `[]` (all) | Case-insensitive department filter. Pass `["Engineering"]` to only see engineering roles. Leave empty to scrape everything. |

**Example input:**

```json
{
  "company_boards": ["datadog", "stripe", "figma", "vercel"],
  "max_days_old": 3,
  "target_departments": ["Engineering", "Data Science"]
}
````

***

### Sample Output

Here's exactly what you get — one flat, LLM-ready record per fresh signal:

```json
{
  "board_name": "datadog",
  "job_title": "Senior Software Engineer - Data Platform",
  "department": "Engineering",
  "location": "New York, NY, United States",
  "updated_at": "2026-05-11T09:15:00-04:00",
  "days_active": 2,
  "intent_category": "Engineering",
  "job_summary_clean": "As a Senior Software Engineer on the Data Platform team, you will design and build the next generation of Datadog's petabyte-scale analytics infrastructure. You'll work closely with product teams to deliver real-time observability features used by thousands of enterprise customers. Strong experience with distributed systems, Kafka, and…",
  "apply_url": "https://boards.greenhouse.io/datadog/jobs/9876543"
}
```

**Every field earns its place in your workflow:**

| Field | What it unlocks |
|-------|----------------|
| `days_active` | Sort ascending. Hit 0–2 day signals first — those companies just opened budget. |
| `intent_category` | Route "Data & AI" signals to your data tool pitch. Route "Revenue" signals to your CRM pitch. Zero-runtime classification. |
| `job_summary_clean` | Drop into GPT-4o / Claude prompt. *"Write a cold email referencing this opening…"* No pre-processing needed. |
| `apply_url` | Cross-reference with your CRM. Existing customer? Deprioritize. Net-new logo? Gold. |
| `department` | Verify alignment with your ICP. You sell to Engineering leads? Filter `target_departments: ["Engineering"]`. |
| `location` | Geo-qualify. Only selling in North America? Filter `location` downstream in Clay or Airtable. |

***

### How SDR Teams Deploy This

```
┌──────────────────┐     ┌──────────────────┐     ┌──────────────────────┐
│  Apify Scheduler  │────▶│  This Actor      │────▶│  Zapier / Make       │
│  (Daily 6 AM run) │     │  (Fresh signals) │     │  (Webhook trigger)   │
└──────────────────┘     └──────────────────┘     └──────────┬───────────┘
                                                             │
                                                  ┌──────────▼───────────┐
                                                  │  Clay / Airtable     │
                                                  │  (Enrich + ICP tag)  │
                                                  └──────────┬───────────┘
                                                             │
                                                  ┌──────────▼───────────┐
                                                  │  Smartlead / Outreach│
                                                  │  "{first_name}, saw  │
                                                  │   {company} is hiring│
                                                  │   a {job_title}..."  │
                                                  └──────────────────────┘
```

1. **Schedule daily** with `max_days_old: 1` to catch every new posting.
2. **Webhook to your enrichment layer** — tag each company (ICP fit? Existing customer? Competitor?).
3. **Auto-generate cold emails** — pipe `job_title` + `job_summary_clean` + `intent_category` into your LLM prompt.
4. **Prioritize by `days_active` ascending** — freshest signals get first contact.

***

### Local Development

```bash
git clone <repo-url> && cd greenhouse-intent-signals-scraper
npm install
npm start        ## Run with tsx (no build required)
npm run build    ## Compile TypeScript to dist/
```

When running locally without Apify input, the Actor auto-falls back to test boards (`datadog`, `mailchimp`) with `max_days_old: 14` so you can verify end-to-end immediately.

***

### Cost Efficiency

This Actor calls Greenhouse's **public JSON API** — one lightweight HTTP GET per company board. No headless browser. No Playwright. No expensive proxy rotation. Scraping 50 boards costs a fraction of what a single paginated website scrape would consume in Apify compute units.

***

**Built for SDRs. Optimized for LLMs. No bloat. Just signal.**

# Actor input Schema

## `company_boards` (type: `array`):

Greenhouse board tokens (e.g., datadog, stripe).

## `max_days_old` (type: `integer`):

ONLY jobs updated within this many days will be scraped. Default 7 days keeps signals fresh.

## `target_departments` (type: `array`):

Filter jobs by specific departments only. Example: \['Engineering', 'Sales']

## `english_only` (type: `boolean`):

Enable to automatically detect and discard non-English job descriptions (e.g., APAC/EMEA localized roles). Essential for saving LLM tokens and filtering noise for NA/UK SDRs.

## Actor input object example

```json
{
  "company_boards": [
    "datadog",
    "stripe"
  ],
  "max_days_old": 7,
  "target_departments": [],
  "english_only": true
}
```

# 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 = {
    "company_boards": [
        "datadog",
        "stripe"
    ],
    "target_departments": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("aetherlabx/greenhouse-intent-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 = {
    "company_boards": [
        "datadog",
        "stripe",
    ],
    "target_departments": [],
}

# Run the Actor and wait for it to finish
run = client.actor("aetherlabx/greenhouse-intent-signals-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "company_boards": [
    "datadog",
    "stripe"
  ],
  "target_departments": []
}' |
apify call aetherlabx/greenhouse-intent-signals-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=aetherlabx/greenhouse-intent-signals-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Greenhouse Jobs Scraper & Intent Signals API",
        "description": "Scrape jobs from any Greenhouse career page instantly. Extract clean, English-only job data with AI intent tagging (e.g., 'Data & AI') and days-active filters. Perfect for B2B sales leads, lead generation, and feeding LLMs.",
        "version": "1.0",
        "x-build-id": "dBGOhtPjbl05HwJqK"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/aetherlabx~greenhouse-intent-signals-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-aetherlabx-greenhouse-intent-signals-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/aetherlabx~greenhouse-intent-signals-scraper/runs": {
            "post": {
                "operationId": "runs-sync-aetherlabx-greenhouse-intent-signals-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/aetherlabx~greenhouse-intent-signals-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-aetherlabx-greenhouse-intent-signals-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "company_boards"
                ],
                "properties": {
                    "company_boards": {
                        "title": "Company Boards",
                        "type": "array",
                        "description": "Greenhouse board tokens (e.g., datadog, stripe).",
                        "items": {
                            "type": "string"
                        },
                        "default": [
                            "datadog",
                            "stripe"
                        ]
                    },
                    "max_days_old": {
                        "title": "Max Days Old",
                        "minimum": 1,
                        "maximum": 90,
                        "type": "integer",
                        "description": "ONLY jobs updated within this many days will be scraped. Default 7 days keeps signals fresh.",
                        "default": 7
                    },
                    "target_departments": {
                        "title": "Target Departments (Optional)",
                        "type": "array",
                        "description": "Filter jobs by specific departments only. Example: ['Engineering', 'Sales']",
                        "items": {
                            "type": "string"
                        },
                        "default": []
                    },
                    "english_only": {
                        "title": "Premium: English-Only Filter",
                        "type": "boolean",
                        "description": "Enable to automatically detect and discard non-English job descriptions (e.g., APAC/EMEA localized roles). Essential for saving LLM tokens and filtering noise for NA/UK SDRs.",
                        "default": true
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```