Greenhouse Jobs Extractor | Clean Hiring Data API

What does Greenhouse Job Extractor do?

Greenhouse Job Extractor collects open job listings from public Greenhouse job boards by calling the Greenhouse Boards API for one or more company boards. It returns structured job records with the board source URL, company slug, job ID, title, location, departments, job posting URL, update timestamp, and optionally the full description HTML. You can try it immediately by supplying public board URLs such as https://job-boards.greenhouse.io/webflow.

Because it runs on the Apify platform, you can launch it from the UI or API, schedule recurring runs, monitor errors, connect the output to tools like Make, Zapier, Google Sheets, or custom ETL pipelines, and keep job data flowing into downstream systems. For most public boards this Actor uses a lightweight JSON endpoint instead of browser automation, which keeps runs fast and cost-efficient.

Why use Greenhouse Job Extractor?

Greenhouse is widely used for public career pages, but manually opening each board is slow and hard to automate. This Actor gives you a repeatable way to collect openings across many Greenhouse-powered companies without building your own scraper from scratch.

Common use cases include tracking new openings for hiring intelligence, building internal job aggregation feeds, enriching CRM or recruiting workflows, monitoring competitors, powering no-code automations, and exporting Greenhouse listings into analytics tools. If you need to watch dozens or hundreds of companies on a schedule, Apify gives you the API access, logging, run history, and integration surface to do it reliably.

How to use Greenhouse Job Extractor

1. Open the Actor in Apify Console and go to the Input tab.
2. Add one or more public Greenhouse board URLs to the sources field.
3. Decide whether you want the full job description included in the output.
4. Optionally set maxResults if you want to test with a smaller sample.
5. Run the Actor manually or schedule it to run automatically.
6. Open the Output tab to inspect the dataset, or fetch the results through the Apify API.

If you are running locally, use apify run so the Apify environment and local storage are configured correctly.

Input

Configure the Actor from the Input tab with the following fields:

• sources: Array of public Greenhouse board URLs such as https://job-boards.greenhouse.io/webflow.
• includeDescription: Boolean flag that controls whether the full job description HTML is returned. Default is true.
• maxResults: Optional integer limit for the total number of jobs returned across all sources.

Example input:

{
  "sources": [
    "https://job-boards.greenhouse.io/webflow",
    "https://job-boards.greenhouse.io/stripe"
  ],
  "includeDescription": true,
  "maxResults": 100
}

This Actor is designed for public Greenhouse board URLs. If a URL does not match the expected board format, the Actor skips it and logs a warning.

Output

The Actor stores results in the default dataset as one item per job listing. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Simplified output example:

[
  {
    "source": "https://job-boards.greenhouse.io/webflow",
    "company": "webflow",
    "id": 7483921,
    "title": "Senior Software Engineer",
    "location": "Remote, United States",
    "departments": ["Engineering"],
    "url": "https://job-boards.greenhouse.io/webflow/jobs/7483921",
    "updatedAt": "2026-04-20T18:42:11Z",
    "description": "<div><p>Job description HTML...</p></div>"
  }
]

If includeDescription is set to false, the description field will be null.

Data table

Field	Type	Description
source	string	Original Greenhouse board URL used as input
company	string	Greenhouse company slug extracted from the board URL
id	number	Unique job ID from Greenhouse
title	string	Job title
location	string or null	Reported job location
departments	string[]	Department names attached to the job
url	string	Direct link to the public job posting
updatedAt	string	Last updated timestamp from Greenhouse
description	string or null	Full job description HTML when enabled

Pricing / Cost estimation

How much does it cost to scrape Greenhouse job boards?

This Actor is relatively inexpensive because it requests Greenhouse's public jobs API instead of rendering pages in a browser. Small runs that query a limited number of boards usually finish quickly and consume only a small amount of platform resources.

Actual cost depends on the number of source URLs, how many jobs each company has open, how often you schedule runs, and whether you include descriptions. If your Apify account includes free usage, smaller monitoring workloads may fit inside that allowance, but pricing and free-tier limits can change, so check the current Apify pricing page before relying on a specific number.

Tips or Advanced options

• Turn off includeDescription if you only need titles, locations, and links. This reduces payload size and speeds up downstream processing.
• Use maxResults when testing integrations so you do not pull a full dataset every time.
• Schedule recurring runs for daily or hourly job monitoring.
• Deduplicate records downstream using company plus id if you merge multiple runs together.
• Provide canonical public board URLs in the https://job-boards.greenhouse.io/<company> format for the most predictable results.

FAQ, disclaimers, and support

Does this work on every Greenhouse URL?

It is intended for public Greenhouse board URLs. Individual job post URLs or unusual custom URL shapes may not match the expected board pattern.

Does it bypass authentication or private pages?

No. This Actor only reads publicly available Greenhouse job data.

Is scraping Greenhouse legal?

You are responsible for making sure your use complies with the target site's terms, applicable laws, and your own internal policies. Only collect and use data you are permitted to process.

Where can I get help?

Use the Actor's Issues tab for bug reports, feature requests, and support questions. If you need custom fields, change tracking, downstream integrations, or a broader careers data pipeline, this project can be extended into a custom solution.