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Greenhouse Jobs Scraper

Pricing

from $2.00 / 1,000 job posting records

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Greenhouse Jobs Scraper

Greenhouse Jobs Scraper

Live job postings from any company's Greenhouse job board, with date filters the incumbents lack

Pricing

from $2.00 / 1,000 job posting records

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Developer

Nick Randall

Nick Randall

Maintained by Community

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Live job postings from any company's Greenhouse job board, with date filters the incumbents lack.

Get clean, structured job listings from a company's public Greenhouse board as JSON, CSV or Excel, or call it as a tool from Claude, Cursor, ChatGPT or any MCP client. Pay only for the results you receive.

What you get

Give it one or more Greenhouse board tokens or careers URLs and it returns every open job on that board: title, department, office/location, remote flag, posted and updated dates, the job's own listing URL, and a plain-text description with HTML stripped.

Every result is a flat record with stable field names, so it drops straight into a spreadsheet, a database or an AI agent's context.

Why use this instead of the website

  • Posted-after and updated-after date filters the leading incumbent does not offer
  • Full job descriptions and every department and office in one run, no caps
  • Filters and pagination handled for you, with automatic retries
  • Results in JSON, CSV, Excel or via API, or piped into Zapier, Make, n8n and Google Sheets
  • Works as an MCP tool, so AI agents can fetch open roles on demand
  • No browser, no proxies, no personal data: fast runs and a tiny cost per result

Input

FieldTypeDefaultMeaning
companiesarrayGreenhouse board tokens or careers URLs, e.g. airbnb or https://boards.greenhouse.io/airbnb
postedAfterstringISO date; only jobs first posted on or after this date
updatedAfterstringISO date; only jobs posted or last updated on or after this date
maxResultsinteger200Cap on results saved. You are charged per result, so this caps your cost.

Example input:

{
"companies": ["airbnb"],
"maxResults": 200
}

Output

Example result:

{
"ats": "greenhouse",
"company": "airbnb",
"jobId": "7010123456",
"title": "Software Engineer, Trust",
"department": "Engineering",
"location": "Remote - US",
"remote": true,
"employmentType": null,
"url": "https://job-boards.greenhouse.io/airbnb/jobs/7010123456",
"postedAt": "2026-08-15T00:00:00Z",
"updatedAt": "2026-09-01T00:00:00Z",
"description": "We are looking for a Software Engineer to join our Trust team..."
}

Field reference: ats, company, jobId, title, department, location, remote, employmentType (Greenhouse's list endpoint does not carry this, always null), url, postedAt, updatedAt, description.

Pricing

Pay per event. You are charged $2.00 per 1,000 results saved to the dataset, plus a fraction of a cent per run start. Nothing is charged for results you do not receive. Set "Max total charge per run" in the run options to cap spending on any run. When a run reaches your cap it stops cleanly and keeps everything it already saved.

Rough guide: 1,000 results cost $2.00 and take about 20 seconds.

Use it from an AI agent (MCP)

This Actor is available as an MCP tool through the Apify MCP server. Add it to your client, then ask the agent for the data in plain language.

Claude Desktop, Claude Code or Cursor (mcp.json / claude_desktop_config.json):

{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com/?actors=brightpath-data/greenhouse-jobs",
"headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
}
}
}

ChatGPT and other clients that support remote MCP servers: add https://mcp.apify.com/?actors=brightpath-data/greenhouse-jobs as a connector with your Apify token.

Example prompt once connected: "List every open engineering role at Airbnb posted in the last 30 days."

Use it from code

curl -X POST "https://api.apify.com/v2/acts/brightpath-data~greenhouse-jobs/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"companies":["airbnb"],"maxResults":200}'

Python:

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("brightpath-data/greenhouse-jobs").call(run_input={"companies": ["airbnb"], "maxResults": 200})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Limits and fair use

  • Up to 10,000 results per run.
  • A company with no public Greenhouse board returns nothing for that entry rather than an error.
  • Need jobs from more than one ATS in a single run? See career-site-jobs, which covers 10 platforms including Greenhouse.

Data comes from the public, unauthenticated Greenhouse Job Board API (boards-api.greenhouse.io) that every Greenhouse customer's career site is built on. This Actor collects public, non-personal data only and does not bypass logins, paywalls or access controls. You are responsible for how you use the data.

Support

Found a problem or need a field added? Open an issue on the Actor's Issues tab. Fixes for broken runs are prioritized.