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Greenhouse Jobs API & Scraper

Rocketyard’s Greenhouse Jobs API & Scraper exports every open job from Greenhouse job boards through Greenhouse’s official public job-board API and returns one clean record per job: title, company, location, workplace type, employment type, department and more. It runs on the Apify platform, so you can start it from the Apify Console, the REST API, an AI agent or a no-code tool.

Run it on Apify$1.00 per 1,000 jobs, no subscription. You run it with your own Apify account, and Apify handles billing.

Who it’s for

Section titled “Who it’s for”
  • Recruiters and staffing agencies tracking which companies are hiring
  • Sales teams using new openings as a buying signal
  • Developers of job boards, job alerts and salary tools
  • Analysts building hiring and compensation datasets

What you can do with it

Section titled “What you can do with it”
  • Export every open role from companies that hire with Greenhouse, with salary ranges and full descriptions
  • Track new and closed roles at target companies every day
  • Build a job or salary dataset from thousands of Greenhouse boards

How it works

Section titled “How it works”

Greenhouse publishes every open job of a company through a public job-board API (documentation), the feed companies use to show openings on their own sites. The Actor reads that API for each board you give it (a board URL such as https://job-boards.greenhouse.io/discord or just the board name discord), without a browser, and applies your keyword, location, department and remote filters before anything is billed. Reading the API instead of scraping HTML means complete records, including pay ranges when the company publishes them, and nothing breaks when a company redesigns its careers page.

Example output

Section titled “Example output”

A real record from a test run on job-boards.greenhouse.io on 2026-11-05. Fields the page didn’t publish are left out here; the Actor returns them as null.

{
  "url": "https://job-boards.greenhouse.io/discord/jobs/8917177002",
  "type": "JobPosting",
  "title": "Associate Commercial Counsel",
  "company": "Discord",
  "location": "San Francisco Bay Area or Remote (U.S.)",
  "workplaceType": "remote",
  "department": "Legal",
  "datePosted": "2026-11-03T16:27:16.000Z",
  "dateUpdated": "2026-11-03T16:31:51.000Z",
  "salaryMin": 200000,
  "salaryMax": 225000,
  "salaryCurrency": "USD",
  "salaryUnit": "YEAR",
  "salaryText": "USD 200,000 - 225,000 per year",
  "locations": [
    "San Francisco Bay Area or Remote (U.S.)",
    "San Francisco, California, United States"
  ],
  "country": "United States",
  "remote": true,
  "description": "Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and…",
  "applyUrl": "https://job-boards.greenhouse.io/discord/jobs/8917177002",
  "requisitionId": "R-107469",
  "ats": "greenhouse",
  "board": "discord",
  "jobId": "8917177002",
  "sourceUrl": "https://job-boards.greenhouse.io/discord",
  "scrapedAt": "2026-11-05T18:08:59.131Z"
}

Fields

Section titled “Fields”
Field Description Filled in latest test
title Job title 100%
company Company name 100%
location Primary location as published 100%
workplaceType remote, hybrid, on-site, or empty when the posting does not say 30%
employmentType schema.org value (FULL_TIME, PART_TIME, CONTRACTOR, INTERN, TEMPORARY) or the label as published 0%
department Department 100%
team Team 0%
datePosted First published (ISO 8601) 100%
dateUpdated Last updated (ISO 8601), when the API publishes it 100%
salaryMin Lowest salary of the published range 60%
salaryMax Highest salary of the published range 60%
salaryCurrency ISO 4217 currency code 60%
salaryUnit YEAR, MONTH, WEEK, DAY or HOUR 60%
salaryText The published pay range as text 60%
locations Every location of the job 100%
country Country 40%
remote true for remote jobs, false for hybrid or on-site, empty when not stated 30%
description Full job description as plain text 100%
applyUrl Application page 100%
requisitionId Requisition ID, when published 100%
ats Applicant tracking system 100%
board Job-board name (the company part of the board URL) 100%
jobId Job ID in the applicant tracking system 100%
sourceUrl Job board the record came from 100%
url the page the record came from 100%
scrapedAt ISO timestamp of the extraction 100%

A field is filled when the source publishes it. The Actor never guesses a value: a missing field comes back as null. “Filled in latest test” is the share of records from the latest test run (discord on Greenhouse) that had the field; other sources publish more or less.

Pricing

Section titled “Pricing”

You pay $1.00 per 1,000 jobs, plus a start fee of $0.00005 per run. Jobs removed by your keyword, location, department or remote filters are not charged.

Jobs Cost
1,000 $1.00
10,000 $10.00
100,000 $100.00

Set maxItems or the run’s Maximum cost per run in Apify to cap spending.

API

Section titled “API”

Every Apify Actor is also a REST endpoint, so Greenhouse Jobs API & Scraper works as a Greenhouse jobs API, a Greenhouse job board API or an ATS jobs API. Call it from any language with the Apify REST API, or with Apify’s JavaScript and Python clients. You need an Apify API token.

Greenhouse jobs API request

Section titled “Greenhouse jobs API request”
Terminal window
curl -s -X POST "https://api.apify.com/v2/acts/rocketyard~greenhouse-jobs-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H 'content-type: application/json' \
  -d '{"startUrls":[{"url":"https://job-boards.greenhouse.io/discord"}],"maxItems":1000}'
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('rocketyard/greenhouse-jobs-scraper').call({"startUrls":[{"url":"https://job-boards.greenhouse.io/discord"}],"maxItems":1000});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
from apify_client import ApifyClient
client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("rocketyard/greenhouse-jobs-scraper").call(run_input={"startUrls":[{"url":"https://job-boards.greenhouse.io/discord"}],"maxItems":1000})
items = client.dataset(run["defaultDatasetId"]).list_items().items

The synchronous endpoint returns the records directly. For long crawls, start the run asynchronously and read the dataset when it finishes.

MCP

Section titled “MCP”

Apify’s MCP server exposes this Actor as a tool to Claude, Cursor and other MCP clients. Open this Actor’s MCP setup page for setup steps per client, or connect it with this URL:

https://mcp.apify.com?tools=rocketyard/greenhouse-jobs-scraper

Claude Code:

Terminal window
claude mcp add --transport http apify "https://mcp.apify.com?tools=rocketyard/greenhouse-jobs-scraper"

Cursor (.cursor/mcp.json) and other clients that read an mcpServers config:

{
  "mcpServers": {
    "apify": { "url": "https://mcp.apify.com?tools=rocketyard/greenhouse-jobs-scraper" }
  }
}

On first use your browser opens so you can sign in to Apify. Then ask the agent, for example: “Export every open role from companies that hire with Greenhouse, with salary ranges and full descriptions”. The tool returns JSON records, and the runs are billed to that Apify account at $1.00 per 1,000 jobs.

Automation

Section titled “Automation”

n8n, Make and Zapier all connect to Apify. Each example below uses Actor rocketyard/greenhouse-jobs-scraper with this input:

{
  "startUrls": [
    {
      "url": "https://job-boards.greenhouse.io/discord"
    }
  ],
  "maxItems": 1000
}

n8n

Section titled “n8n”

Copy this workflow and paste it onto an n8n canvas. It runs the Actor every morning through an HTTP Request node and returns the records as n8n items.

{
  "name": "Greenhouse Jobs API & Scraper daily",
  "nodes": [
    {
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "days",
              "daysInterval": 1,
              "triggerAtHour": 7
            }
          ]
        }
      },
      "id": "c1f6a2d0-4a57-4b5e-9d7a-0a1b2c3d4e01",
      "name": "Every day at 07:00",
      "type": "n8n-nodes-base.scheduleTrigger",
      "typeVersion": 1.2,
      "position": [
        0,
        0
      ]
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://api.apify.com/v2/acts/rocketyard~greenhouse-jobs-scraper/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpBearerAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\n  \"startUrls\": [\n    {\n      \"url\": \"https://job-boards.greenhouse.io/discord\"\n    }\n  ],\n  \"maxItems\": 1000\n}",
        "options": {
          "timeout": 300000
        }
      },
      "id": "c1f6a2d0-4a57-4b5e-9d7a-0a1b2c3d4e02",
      "name": "Run Greenhouse Jobs API & Scraper",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        260,
        0
      ],
      "credentials": {
        "httpBearerAuth": {
          "name": "Apify API token"
        }
      }
    }
  ],
  "connections": {
    "Every day at 07:00": {
      "main": [
        [
          {
            "node": "Run Greenhouse Jobs API & Scraper",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {}
}

Then open the HTTP Request node and create an HTTP Bearer Auth credential named Apify API token, with your token from Apify Console as the bearer token. The token stays in n8n’s credential store; the workflow only names the credential. Change the input in the node’s JSON body to your own.

The node waits up to 300 seconds, which is also the limit of Apify’s synchronous endpoint. An input that yields nothing comes back as an item with an error field, which you can drop with a Filter node. Apify also publishes a community node, @apify/n8n-nodes-apify, with a Run an Actor and get dataset operation.

Make

Section titled “Make”
  1. Add Apify’s Run an Actor module and connect your Apify account.
  2. Choose rocketyard/greenhouse-jobs-scraper, paste the input above and set Run synchronously to Yes. Make limits how long a synchronous run can take, depending on your plan. For longer runs, start the scenario from Watch Actor Runs instead.
  3. Add Get Dataset Items with the run’s default dataset ID.
  4. Send the items wherever you need them, for example with Google Sheets Add a Row, mapping title, company, location and workplaceType.

Zapier

Section titled “Zapier”
  1. Add Apify’s Run Actor action, connect your Apify account, choose rocketyard/greenhouse-jobs-scraper and paste the input above.
  2. Zapier stops synchronous runs after 30 seconds. For anything larger than a small run, let the run continue in the background and start a second Zap from the Finished Actor run trigger.
  3. Add Fetch dataset items with the run’s dataset ID, then map title, company, location and workplaceType into your app.
  4. Test with a small input and check that the Zap handles every record before you turn it on.

Limits

Section titled “Limits”
  • Only companies whose careers pages are hosted on Greenhouse, with a public job board.
  • Pay ranges appear only when the company publishes one on the posting.
  • Jobs that a company has closed are no longer on its board, so each run returns the roles open right now.

FAQ

Section titled “FAQ”

How much does it cost?

Section titled “How much does it cost?”

$1.00 per 1,000 jobs plus $0.00005 per run, billed by Apify. 10,000 jobs cost $10.00. There is no subscription, and you can cap any run with Maximum cost per run.

Your Apify plan sets your discount tier (Platinum and Diamond are enterprise tiers):

Tier Per 1,000 jobs
Free $1.00
Bronze $1.00
Silver $0.80
Gold $0.65
Platinum $0.65
Diamond $0.65

How do I call it from the API?

Section titled “How do I call it from the API?”

One request starts a run and returns its results, using your Apify API token:

Terminal window
curl -X POST "https://api.apify.com/v2/acts/rocketyard~greenhouse-jobs-scraper/run-sync-get-dataset-items" -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" -d '{"startUrls":[{"url":"https://job-boards.greenhouse.io/discord"}],"maxItems":1000}'

What happens when a URL fails?

Section titled “What happens when a URL fails?”

The dataset gets one free error item for it, with a code and the reason, and the other inputs in the run carry on. Error codes explains each code, whether a retry helps and what to do.

Which companies does it work on?

Section titled “Which companies does it work on?”

Any company whose careers page is hosted on Greenhouse, with URLs like https://job-boards.greenhouse.io/discord. The board name is the part after the domain (discord).

What happens when a field is missing?

Section titled “What happens when a field is missing?”

The field comes back as null. The Actor reports what the source publishes and never fills in guesses.

Is it allowed to scrape this data?

Section titled “Is it allowed to scrape this data?”

The Actor reads only job postings that companies publish for anyone to see, through Greenhouse’s public API, honours robots.txt, and returns no data about applicants or recruiters. You are responsible for how you use the data under the applicable terms and the law (for example GDPR).

Can I use it from an AI agent?

Section titled “Can I use it from an AI agent?”

Yes. Connect Apify’s MCP server as shown in MCP, and the agent can call the Actor as a tool.

Alternatives

Section titled “Alternatives”

See how it compares with other greenhouse job scrapers on price, users and run success, from Apify Store data. Need a field or site behaviour that isn’t covered? Open an issue on the Actor page.

Guides

Section titled “Guides”