Greenhouse Jobs API and Scraper: Job Postings by Company

Greenhouse Public Job Boards by Company

Pull every public job posting from any Greenhouse board (the ATS behind boards.greenhouse.io/<company>). One row per role, with title, location, departments, full description, and a coarse role classification baked in. No auth, no scraping: Greenhouse publishes a JSON API for this.

What you get

{
  "company":            "stripe",
  "companyName":        "Stripe",
  "jobId":              7532733,
  "internalJobId":      3336216,
  "title":              "Account Executive, Enterprise Sales",
  "location":           "San Francisco, CA",
  "departments":        ["Sales"],
  "offices":            ["San Francisco"],
  "language":           "en",
  "requisitionId":      "See Opening ID",
  "firstPublished":     "2026-05-15T10:14:00-04:00",
  "updatedAt":          "2026-06-01T20:09:17-04:00",
  "applicationDeadline": null,
  "url":                "https://stripe.com/jobs/search?gh_jid=7532733",
  "role":               "sales",
  "contentHtml":        "<p>Stripe is the financial infrastructure...</p>",
  "contentText":        "Stripe is the financial infrastructure...",
  "textLength":         3210
}

How to use

Input.

{
  "companies":         ["stripe", "airbnb", "vercel", "shopify"],
  "includeContent":    true,
  "maxJobsPerCompany": 5000
}

The companies field takes Greenhouse slugs: the <slug> in boards.greenhouse.io/<slug>. You can also paste full URLs; the actor reduces them to slug.

Role classification. Every row carries a role field: one of engineering, design, product, data, sales, marketing, customer, operations, legal, hr, executive, or null (unmatched). Derived from title keywords. Use it to filter a 30 000-row pull down to "just sales" in one column.

includeContent: false drops the HTML + text job description. That cuts each row from ~10 KB to ~500 bytes: useful when you only need title + location + dates.

Why this matters

Greenhouse hosts thousands of public boards including Stripe, Airbnb, Vercel, Shopify, OpenAI, Anthropic, Notion, Linear, and most YC companies. The API is public, no auth, but the normalized, role-classified, dataset-ready form is what this actor adds.

Built for:

• BD / sales prospecting. "Who's hiring sales reps right now?" Filter role == sales, group by company.
• Growth-signal tracking. New job openings = team is growing = budget is approved = potential buyer.
• Recruiting intel. What roles are competitors hiring for? At what locations? What does the JD look like?
• Market sizing. How many companies are hiring for "data engineer"?

Pricing

Pay per event. Price per 1,000 events:

Event	Base price	Bronze	Silver	Gold
Greenhouse job listing extracted	$0.20	$0.18	$0.16	$0.14

Bronze, Silver and Gold are the discounts Apify gives users of its paid plans. The Pricing tab always shows the current prices.

Notes & limits

• No auth, no rate limit documented. The actor paces requests ~0.2 s between companies anyway.
• Boards that don't exist or are opted-out return 404; the actor logs a skipped reason in OUTPUT instead of failing.
• Greenhouse returns the whole board in one response. maxJobsPerCompany caps after the fetch: useful for huge boards (Stripe = 400+ roles).

Run it through the API

Python, with the apify-client package:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("v0iddo/greenhouse-public-jobs").call(run_input={"companies": ["stripe", "airbnb", "vercel"], "maxJobsPerCompany": 20})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript, with the apify-client package:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('v0iddo/greenhouse-public-jobs').call({"companies": ["stripe", "airbnb", "vercel"], "maxJobsPerCompany": 20});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

One HTTP call that waits for the run and returns the rows (for runs that finish within 5 minutes):

curl -X POST "https://api.apify.com/v2/acts/v0iddo~greenhouse-public-jobs/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"companies": ["stripe", "airbnb", "vercel"], "maxJobsPerCompany": 20}'

Output fields, real sample rows, the price and this code for Python, JavaScript and cURL are also in the guide to this actor.

Use it from an agent (MCP)

Claude, Cursor, VS Code and other MCP clients can call this actor as a tool through the Apify MCP server. Add it to the client's MCP configuration:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=v0iddo/greenhouse-public-jobs",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

FAQ

Do I need an account, cookies or an API key?

No. The actor reads public data without logging in. You only need an Apify account to start it.

How many results can one run return?

Set Max jobs per company (up to 50,000) to the number you need. Large jobs can also be split into several runs or scheduled.

How am I charged?

Pay per event, at the prices on the Pricing tab for your Apify plan (the Pricing section of this page lists them). The platform usage of the run is included in those prices, and your spending limit for a run is always respected.

Why did my run return no results?

The status message and the log of the run say why: usually nothing matched the input, or the source did not answer for a moment. Check the input against the example above and run it again.

Can I run it on a schedule?

Yes. Save your input as a task and add a schedule in the Apify Console (daily, hourly or with a cron expression). Each run gets its own dataset, so you keep a history.

Which formats can I export?

JSON, CSV, Excel, XML, HTML table and RSS from the Output tab or the API. Integrations send the rows to Google Sheets, Slack, Make, Zapier, n8n or a webhook.

Is collecting this data allowed?

The actor collects data that the source publishes openly, without a login. Public data can still be personal data under laws such as the GDPR, and sources have their own terms: make sure your use of the data follows the rules that apply to you.

What happens when the source changes?

An automated test runs the actor every day on the example input and checks the rows, not only that the run finished. When a check fails, the actor is repaired and rebuilt; the build history on this page shows each update.

Something is missing or wrong. Where do I report it?

Open an issue on the Issues tab of this actor with the run link. Requests for a new field are welcome too.

Related actors

• Greenhouse, Lever, Workday & Ashby Jobs Scraper: Careers API
• Lever Jobs API and Scraper: Job Postings by Company
• Ashby Jobs API and Scraper: Job Postings by Company
• Computrabajo Scraper: LATAM Jobs and Salaries / $0.50 per 1,000
• Eluta.ca Job Scraper
• Freelancer.com Jobs and Projects Scraper

Source

https://boards-api.greenhouse.io/v1/boards/<company>/jobs?content=true: Greenhouse's public API, served the same way to candidates and to scrapers.