# Greenhouse, Lever, Ashby & Glassdoor Jobs & Hiring Scraper (`invaluable_rondeau/greenhouse-lever-ashby-hiring-intent-auditor`) Actor

LinkedIn Tech Stack Jobs, LinkedIn Hiring Signal & ATS Hiring Scraper for B2B sales intelligence. Track engineering, AI, and security job postings across Greenhouse, Lever, Ashby, and Glassdoor.

- **URL**: https://apify.com/invaluable_rondeau/greenhouse-lever-ashby-hiring-intent-auditor.md
- **Developed by:** [PROOFNEXA](https://apify.com/invaluable_rondeau) (community)
- **Categories:** Lead generation, Jobs, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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, Lever, Ashby & Glassdoor Jobs & Hiring Scraper

Scrape live open jobs from Greenhouse, Lever, and Ashby career pages plus Glassdoor company review & compensation benchmarks, engineering/AI hiring velocity, remote work ratio, and B2B buying intent signals.

Built for **growth engineers, RevOps teams, SEO/B2B agencies, quantitative researchers, and AI agent pipelines (n8n, Make.com, Clay, Zapier, LangChain, CrewAI, and Claude / Cursor MCP)** that require deterministic, structured JSON output with **zero monthly subscription lock-in**.

***

### Why Use **Glassdoor Reviews, Career Page Jobs & Greenhouse Scraper** (`invaluable_rondeau/greenhouse-lever-ashby-hiring-intent-auditor`)?

- **Zero Monthly SaaS Seat Lock-In**: Replace $99–$299/month legacy subscriptions with transparent, fractional Pay-Per-Event pricing (`$0.015` Actor start + `$0.015` per `company-hiring-audited` event).
- **High-Throughput Batch Processing**: Process 8+ targets out of the box or scale to 1,000+ targets via Apify API, webhooks, or scheduled cron jobs.
- **AI & RAG Ready Output**: Every dataset item returns clean, normalized, deterministic JSON fields ready for direct ingestion into **Vector Databases, LLM RAG pipelines, Google Sheets, HubSpot, Salesforce, Clay, or n8n**.
- **Built-in Retry & Fault Tolerance**: Gracefully handles rate limits, redirects, and malformed upstream responses without crashing your batch pipeline.

***

### Key Features & Extracted Data Points

1. **Automated Multi-Target Extraction**: Pass an array of targets (URLs, domains, queries, or IDs) and extract structured intelligence in a single serverless run.
2. **Enriched Metadata & Scoring**: Automatically normalizes timestamps, status flags, authority/sentiment signals, and actionable B2B/research indicators.
3. **Zero-Config Default Prefill**: Click **Start** in Apify Console to immediately test a verified multi-item batch with zero setup required.
4. **Native Automation & Webhook Support**: Trigger via `POST https://api.apify.com/v2/acts/invaluable_rondeau~greenhouse-lever-ashby-hiring-intent-auditor/run-sync-get-dataset-items` and receive an instant JSON array response.

***

### Transparent Pay-Per-Event (PPE) Pricing

| Billing Event | Event Key | Price (USD) | Description |
| :--- | :--- | ---: | :--- |
| **Actor Start** | `apify-actor-start` | **`$0.015`** | Base initialization per Actor run |
| **Primary Extraction / Deep Enrichment Event** | `company-hiring-audited` | **`$0.015`** | Charged per processed target / deep intelligence event |

> **Cost Example**: A standard default batch of 8 targets with primary + deep intelligence enrichment costs approximately **`$0.255`** total — covered automatically by your Apify free monthly usage credits.

***

### Example Input (`input_schema.json`)

```json
{
  "targets": [
    "stripe",
    "vercel",
    "cloudflare",
    "figma",
    "linear",
    "anthropic",
    "datadog",
    "gitlab"
  ],
  "roleKeywordFilter": "",
  "maxJobsSamplePerCompany": 10
}
```

***

### Example Output Dataset Item

```json
{
  "actor": "invaluable_rondeau/greenhouse-lever-ashby-hiring-intent-auditor",
  "title": "Glassdoor Reviews, Career Page Jobs & Greenhouse Scraper",
  "status": "SUCCEEDED",
  "extractedAt": "2026-10-24T12:00:00.000Z",
  "dataQualityScore": 98,
  "categories": ["LEAD_GENERATION", "JOBS", "AUTOMATION"],
  "structuredIntelligence": {
    "verified": true,
    "enrichmentTier": "DEEP_INTELLIGENCE",
    "readyForRagAndCrm": true
  },
  "_proofnexaNextSteps": {
    "apifyStoreHub": "https://apify.com/invaluable_rondeau",
    "webStudio": "https://quant-b2b-risk-gate-api.vercel.app",
    "remoteMcpEndpoint": "https://quant-b2b-risk-gate-api.vercel.app/mcp"
  }
}
```

***

### Quick Integration: n8n, Make.com, Clay, cURL & Python

#### 1. Direct Synchronous REST API Call (Returns JSON Dataset Directly)

```bash
curl -X POST "https://api.apify.com/v2/acts/invaluable_rondeau~greenhouse-lever-ashby-hiring-intent-auditor/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{   "targets": [     "stripe",     "vercel",     "cloudflare",     "figma",     "linear",     "anthropic",     "datadog",     "gitlab"   ],   "roleKeywordFilter": "",   "maxJobsSamplePerCompany": 10 }'
```

#### 2. Python (`apify-client`)

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("invaluable_rondeau/greenhouse-lever-ashby-hiring-intent-auditor").call(run_input={
  "targets": [
    "stripe",
    "vercel",
    "cloudflare",
    "figma",
    "linear",
    "anthropic",
    "datadog",
    "gitlab"
  ],
  "roleKeywordFilter": "",
  "maxJobsSamplePerCompany": 10
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

#### 3. Claude Code / Cursor / Windsurf MCP Integration

Connect our remote HTTP MCP Server or Apify MCP Server to invoke `greenhouse-lever-ashby-hiring-intent-auditor` directly from your AI coding assistant:

```bash
claude mcp add --transport http proofnexa https://quant-b2b-risk-gate-api.vercel.app/mcp
```

***

### Related High-Velocity Apify Actors by `invaluable_rondeau`

- [YouTube Transcript Scraper, Video Metadata & Channel API](https://apify.com/invaluable_rondeau/youtube-transcript-video-metadata-scraper)
- [Google News, Google Trends & Keyword Autocomplete Scraper](https://apify.com/invaluable_rondeau/google-news-trends-autocomplete-scraper)
- [Reddit Posts, Comments, Subreddit & User Lead Scraper](https://apify.com/invaluable_rondeau/reddit-posts-comments-subreddit-scraper)
- [Trustpilot, G2 & Capterra Reviews & Sentiment Scraper](https://apify.com/invaluable_rondeau/trustpilot-g2-capterra-reviews-scraper)
- [Similarweb Website Traffic, Rank & Competitor Scraper](https://apify.com/invaluable_rondeau/similarweb-website-traffic-competitor-scraper)
- [Reverse Email Lookup, B2B Email Finder & SMTP Verifier](https://apify.com/invaluable_rondeau/corporate-email-finder-verifier)
- [Bulk Email Verifier — MX, SPF, DMARC & Disposable Check ($1/1k)](https://apify.com/invaluable_rondeau/email-verifier-bulk)
- [Bulk Domain Rating, Backlink Checker & Authority Audit](https://apify.com/invaluable_rondeau/cyber-domain-ssl-rdap-email-security-suite)

# Actor input Schema

## `targets` (type: `array`):

Enter company slugs (e.g. `stripe`, `vercel`, `cloudflare`, `linear`, `figma`, `anthropic`) or explicit `greenhouse:stripe`, `lever:netflix`, `ashby:linear`.

## `roleKeywordFilter` (type: `string`):

Optional keyword to highlight matching roles (e.g. 'AI', 'Security', 'Sales', 'Data', 'Engineer'). Leave blank to analyze all open roles.

## `maxJobsSamplePerCompany` (type: `integer`):

Maximum number of individual open job titles to embed in each company summary row.

## Actor input object example

```json
{
  "targets": [
    "stripe",
    "vercel",
    "cloudflare",
    "figma",
    "linear",
    "anthropic",
    "datadog",
    "gitlab"
  ],
  "roleKeywordFilter": "",
  "maxJobsSamplePerCompany": 10
}
```

# Actor output Schema

## `results` (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 = {
    "targets": [
        "stripe",
        "vercel",
        "cloudflare",
        "figma",
        "linear",
        "anthropic",
        "datadog",
        "gitlab"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("invaluable_rondeau/greenhouse-lever-ashby-hiring-intent-auditor").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 = { "targets": [
        "stripe",
        "vercel",
        "cloudflare",
        "figma",
        "linear",
        "anthropic",
        "datadog",
        "gitlab",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("invaluable_rondeau/greenhouse-lever-ashby-hiring-intent-auditor").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 '{
  "targets": [
    "stripe",
    "vercel",
    "cloudflare",
    "figma",
    "linear",
    "anthropic",
    "datadog",
    "gitlab"
  ]
}' |
apify call invaluable_rondeau/greenhouse-lever-ashby-hiring-intent-auditor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,invaluable_rondeau/greenhouse-lever-ashby-hiring-intent-auditor"
        }
    }
}
```

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/uOVcxKOJkHw4TU3Nl/builds/X7staYAb9K9dfdXAM/openapi.json