# Greenhouse Jobs Scraper: Any Company's Board, with Pay Ranges (`themineworks/greenhouse-jobs-scraper`) Actor

Scrape open jobs from any company's Greenhouse job board: title, department, offices, locations, remote flag, posted and updated dates, pay range, apply link and description. Paste board links, tokens or company names, many at once. Filter by keyword, location, department or date. No login.

- **URL**: https://apify.com/themineworks/greenhouse-jobs-scraper.md
- **Developed by:** [The Mine Works](https://apify.com/themineworks) (community)
- **Categories:** Jobs, Lead generation, MCP servers
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 1,000 jobs

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Jobs Scraper: Any Company's Board, with Pay Ranges

[![820 Greenhouse jobs from 6 company boards in 10.5 seconds, pay range on 54% of them](https://api.apify.com/v2/key-value-stores/cUXz95yxflDho41nn/records/greenhouse-jobs-scraper-hero.png)](https://console.apify.com/actors/aItyDqJNhFggS8a0B/input?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

From **The Mine Works**, makers of [Threads Scraper](https://apify.com/themineworks/threads-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral) and [B2B Leads Finder](https://apify.com/themineworks/b2b-leads-finder?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral), with over 140,000 runs across 170+ public actors.

### Why choose this actor?

- **Pay ranges as numbers, not just text.** Greenhouse lets employers attach pay ranges to a job, and this actor asks for them in the same request as the jobs. Where an employer only writes the range into the job description, as many US employers do, the actor reads it from there. In our proof run, **442 of 820 jobs (54%) came back with a minimum, maximum, currency and period**: 350 from Greenhouse's own pay data, 92 from the description. No extra request, no add-on.
- **Many companies in one run, pasted any way you have them.** Our proof run read **6 boards and returned 820 jobs in 10.5 seconds**, one request per board. Paste board links (including the EU host), embed links, single job links, board tokens, plain company names, or your company's own careers page. A company that is not found is reported and never charged.
- **Only new jobs on a schedule.** Switch on "Only jobs not delivered before" and each run returns, and charges, only jobs no earlier run in your account delivered. In our test the second run skipped the 120 jobs the first had delivered, and once caught up a repeat run returned 0 jobs and charged nothing but the start fee. Jobs removed by your filters are never charged either.

[![Run it on Apify](https://api.apify.com/v2/key-value-stores/cUXz95yxflDho41nn/records/button-run.png)](https://console.apify.com/actors/aItyDqJNhFggS8a0B/input?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Part of The Mine Works Jobs and hiring family:** [Foundit Monster India Jobs](https://apify.com/themineworks/foundit-jobs-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral), [Hirist Jobs Scraper](https://apify.com/themineworks/hirist-jobs-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral), [India Jobs MCP](https://apify.com/themineworks/india-jobs-mcp?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral), [Naukri Jobs Scraper](https://apify.com/themineworks/naukri-jobs?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral), [Shine.com Jobs Scraper](https://apify.com/themineworks/shine-jobs-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral), [Internshala Scraper](https://apify.com/themineworks/internshala-jobs-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral).

### Try it in one minute

Paste this input and press Start. It returns the 20 newest open jobs at Figma in a few seconds:

```json
{
  "companies": ["figma"],
  "maxJobsPerCompany": 20
}
```

You can name a company in five ways, and mix them in one list:

- **Board link**: `https://job-boards.greenhouse.io/figma`, `https://boards.greenhouse.io/discord`, or the EU host `https://job-boards.eu.greenhouse.io/proton`. A single job link such as `https://job-boards.greenhouse.io/figma/jobs/6207801004` reads that company's whole board.
- **Embed link**: `https://boards.greenhouse.io/embed/job_board?for=airbnb`, as found in a careers page's source.
- **Board token**: `figma`, `stripe`, `airbnb`. It is the word after the domain in the board link.
- **Company name**: `Scale AI` is tried as `scaleai` and then `scale-ai`. Use a link when the token is something else.
- **Your company's careers page**: `https://www.figma.com/careers/`. The page is read once and searched for its Greenhouse board link. This works when the page's HTML links to or embeds the board; a page that loads its jobs later with JavaScript is reported as "no board on page" and never charged.

On Apify's free plan every run returns the first 10 results as a preview, so you can check the data and the fields before you pay. A paid Apify plan returns every result: https://apify.com/pricing?fpr=ymnoit

#### Copy to your AI assistant

```text
themineworks/greenhouse-jobs-scraper on Apify. Returns open jobs from companies' Greenhouse job boards, one row per job with company, title, department, locations, remote flag, employment type when published, first published and updated dates, pay range (min, max, currency, period), job and apply links, and a 500 character description (full text on request). Call ApifyClient("TOKEN").actor("themineworks/greenhouse-jobs-scraper").call(run_input={"companies": ["figma", "https://boards.greenhouse.io/airbnb"], "keywords": ["engineer"], "maxJobsPerCompany": 100}), then client.dataset(run["defaultDatasetId"]).list_items().items. Required: companies (Greenhouse board links, board tokens, company names or careers page links). Optional: keywords (title words), excludeKeywords, locations, departments, remoteOnly (default false), postedWithinDays, maxJobsPerCompany (default 500, 20 to 5,000), includeDescription (default false), onlyNewJobs (default false). Skip rows that have "_type": "info". Full spec: GET https://api.apify.com/v2/acts/themineworks~greenhouse-jobs-scraper/builds/default (Bearer TOKEN), which returns inputSchema and readme. Token: https://console.apify.com/account/integrations?fpr=ymnoit&utm_source=apify-readme&utm_medium=referral
```

### Key features

- **32 fields per job**: company, board token, job id, requisition id, title, every department, every location and office, remote flag, employment type, first published and last updated dates, pay range with its source, every pay range the employer entered, job and apply links, language, application deadline, a short description and, on request, the whole description as plain text.
- **One request per board, whatever its size.** Greenhouse's public board API returns a whole board with descriptions in one answer: Stripe's 718 open jobs arrive as one 5.5 MB response. Three boards are read at a time.
- **Filters that run before you pay**: title keywords and exclusions, locations (every location of a job is checked, and United States matches "San Francisco, CA" and "Remote, USA"), departments, remote only, and posted within N days. Filtered jobs are never charged.
- **Newest first, with a cap per company.** Jobs are sorted by first published date before the cap is applied, so a cap of 50 gives each company's 50 newest matching jobs. The cap runs from 20 to 5,000.
- **Only new jobs on repeat runs**, kept in a named key value store in your account, so a daily schedule returns only what was posted since.
- **Plain HTTP, no browser, no login.** 512 MB of memory. A run report (status per company, jobs on the board, matches, filtered counts, requests, charges) is saved as the `OUTPUT` record.

### How to use it

#### Basic: every open job at one company

```json
{
  "companies": ["https://boards.greenhouse.io/airbnb"],
  "maxJobsPerCompany": 500
}
```

Airbnb had 150 open jobs on 5 Oct 2026, so this returns all of them, newest first. Raise `maxJobsPerCompany` (up to 5,000) for very large boards.

#### Several companies at once

```json
{
  "companies": [
    "https://job-boards.greenhouse.io/figma",
    "discord",
    "https://boards.greenhouse.io/airbnb",
    "stripe",
    "https://job-boards.eu.greenhouse.io/proton",
    "Scale AI"
  ],
  "maxJobsPerCompany": 200,
  "includeDescription": true
}
```

This is the input of our proof run: 820 jobs in 10.5 seconds, with the whole description of every job. Up to 1,000 companies per run; a board given twice (for example as `stripe` and as its link) is read once.

#### Job: daily alert on new jobs at a watchlist of companies

```json
{
  "companies": ["stripe", "figma", "airbnb", "discord"],
  "keywords": ["engineer", "data"],
  "onlyNewJobs": true,
  "maxJobsPerCompany": 500
}
```

Schedule it daily (Console, Schedules, Add schedule). The first run delivers every matching open job; each later run delivers only jobs no earlier run delivered, so the dataset of each run is the list of new postings. Send it to Slack or email with a webhook, Make or Zapier.

#### Job: salary benchmarking for one role across companies

```json
{
  "companies": ["figma", "airbnb", "discord", "scaleai", "stripe"],
  "keywords": ["product designer", "designer"],
  "locations": ["United States"],
  "maxJobsPerCompany": 100
}
```

Every row with a published range has `salary_min`, `salary_max`, `salary_currency` and `salary_period`, so a spreadsheet can compare them directly. `salary_source` tells you whether the range came from Greenhouse's pay data (`posting`) or was read from the description (`description`), and `pay_ranges` keeps every range the employer entered, for example one per location tier.

#### Job: remote engineering roles posted this week

```json
{
  "companies": ["airbnb", "stripe", "figma", "discord", "scaleai"],
  "keywords": ["engineer"],
  "excludeKeywords": ["intern", "manager"],
  "remoteOnly": true,
  "postedWithinDays": 7
}
```

Remote means the location, an office, or the title says remote, as in "Remote, USA" or "San Francisco Bay Area or Remote (U.S.)". Greenhouse has no separate remote field, so jobs that are remote only in their description are not marked.

#### Job: hiring signals for sales prospecting

```json
{
  "companies": ["stripe", "airbnb", "figma"],
  "departments": ["sales", "marketing"],
  "postedWithinDays": 30,
  "maxJobsPerCompany": 200
}
```

A company opening several sales or marketing roles this month is a warm account. Count rows per `company` and `department`; `posted_at` gives the date each role first went live.

### Input parameters

| Parameter | Type | Default | What it does |
|---|---|---|---|
| `companies` | array of strings | `["https://job-boards.greenhouse.io/figma", "discord", "https://boards.greenhouse.io/airbnb"]` | Required. Greenhouse board links, embed or single job links, board tokens, company names, or careers page links, one per line. Up to 1,000 per run; repeats are read once. |
| `keywords` | array of strings | none | Keep jobs whose title has a word starting with one of these (`engineer` also matches Engineering Manager). Not case sensitive. |
| `excludeKeywords` | array of strings | none | Drop jobs whose title has a word starting with one of these, for example `senior`, `intern`. |
| `locations` | array of strings | none | Keep jobs with a location containing one of these, for example `London`, `Germany`, `Remote`. United States, USA and US match each other and US state codes ("Austin, TX"); United Kingdom and UK match each other. |
| `departments` | array of strings | none | Keep jobs whose department contains one of these, for example `Engineering`, `Sales`. |
| `remoteOnly` | boolean | `false` | Keep only jobs that are remote or offer a remote location. |
| `postedWithinDays` | integer | none | Keep only jobs first published in the last N days, 1 to 365. |
| `maxJobsPerCompany` | integer | `500` (the form starts at 20) | Most jobs delivered per company after the filters, newest first, 20 to 5,000. Also the most you pay for per company. |
| `includeDescription` | boolean | `false` | Add the whole description as plain text in `description`. Costs nothing extra: Greenhouse sends it with the board. |
| `onlyNewJobs` | boolean | `false` | Skip, and never charge, jobs an earlier run of this actor in your account already delivered. |

### What data do you get?

One row per open job. A field with no value (for example no pay range published) is left out of the row rather than filled with an empty value.

**The company**: `company` (the name Greenhouse publishes, such as "Scale AI"), `company_slug` (the board token), `platform` (always `greenhouse`).

**The job**: `job_id` (Greenhouse's job id, stable across runs), `requisition_id` (the employer's own requisition number, when published), `internal_job_id` (one job can have several postings), `title`, `department` and `departments` (every department it is listed under), `employment_type` (`full-time`, `part-time`, `contract`, `intern` or `temporary`, when the board publishes it or the title says intern, contract, part time or temporary), `language`, `application_deadline` (when the employer set one).

**Where**: `location` (as the board shows it), `locations` (split into a list when the board lists several, such as "San Francisco, CA" and "New York, NY"), `offices` (the Greenhouse offices the job is attached to), `is_remote`, `workplace_type` (`remote` or `hybrid` when the location or title says so).

**When**: `posted_at` (first published, ISO 8601 UTC) and `updated_at` (last change).

**Pay**: `salary_min`, `salary_max`, `salary_currency` (USD, EUR, GBP and others as published), `salary_period` (`year`, `month`, `week`, `day` or `hour`), `salary_text` (one readable line, for example "USD 196,000 to 227,000 per year"), `salary_source` (`posting` for Greenhouse's pay data, `description` when read from the description), `pay_ranges` (every range the employer entered, with its title, for example one per location tier). Several ranges are widened to one lowest minimum and highest maximum in the main fields.

**Links and text**: `job_url` (the posting, on Greenhouse or on the company's own careers site when the employer set one), `apply_url`, `description_short` (the start of the description, one line, at most 500 characters), `description` (the whole description as plain text, only with `includeDescription` on).

**How it was read**: `input` (the company entry as you typed it), `scraped_at`.

At the end of a run with results, one extra row with `"_type": "info"` carries scheduling tips. It is never charged; filter it out with `_type`. A full run report (status per company, jobs on the board, matches, filtered counts, requests, charges) is saved as the `OUTPUT` record of the run's key value store.

#### Stable fields for automations

These fields were present in every one of the 820 rows of our proof run:

| Field | Meaning |
|---|---|
| `company` | Company name as Greenhouse publishes it |
| `company_slug` | Greenhouse board token |
| `platform` | Always `greenhouse` |
| `job_id` | Greenhouse job id; use it to deduplicate |
| `title` | Job title |
| `location` | Location as the board shows it |
| `locations` | Every location, as a list |
| `is_remote` | True when the job is remote or offers a remote location |
| `posted_at` | First published, ISO 8601 UTC |
| `updated_at` | Last updated, ISO 8601 UTC |
| `job_url` | Link to the posting |
| `apply_url` | Link to apply |
| `description_short` | Start of the description, at most 500 characters |
| `input` | The company entry as you gave it |
| `scraped_at` | When the row was collected |

These names will not change. New fields may be added, never renamed.

#### Output examples

A remote job with a pay range from Greenhouse's pay data (Airbnb):

```json
{
  "company": "Airbnb",
  "company_slug": "airbnb",
  "platform": "greenhouse",
  "job_id": "8250093",
  "internal_job_id": "3569396",
  "title": "Senior Software Engineer, Native Mobile",
  "department": "Software Engineering",
  "departments": ["Software Engineering"],
  "location": "Remote, USA",
  "locations": ["Remote, USA"],
  "offices": ["United States"],
  "workplace_type": "remote",
  "is_remote": true,
  "posted_at": "2026-10-05T18:23:07.000Z",
  "updated_at": "2026-10-05T18:23:07.000Z",
  "salary_min": 196000,
  "salary_max": 227000,
  "salary_currency": "USD",
  "salary_period": "year",
  "salary_text": "USD 196,000 to 227,000 per year",
  "salary_source": "posting",
  "pay_ranges": [{ "title": "Pay Range", "min": 196000, "max": 227000, "currency": "USD" }],
  "job_url": "https://careers.airbnb.com/positions/8250093?gh_jid=8250093",
  "apply_url": "https://careers.airbnb.com/positions/8250093?gh_jid=8250093",
  "language": "en",
  "description_short": "Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have…",
  "input": "https://boards.greenhouse.io/airbnb",
  "scraped_at": "2026-10-05T19:06:09.646Z"
}
```

A job whose pay range was read from the description (Discord):

```json
{
  "company": "Discord",
  "company_slug": "discord",
  "platform": "greenhouse",
  "job_id": "8856467002",
  "requisition_id": "R-107444",
  "title": "Senior Software Engineer, Engagement",
  "department": "Product Engineering",
  "location": "San Francisco Bay Area",
  "locations": ["San Francisco Bay Area"],
  "offices": ["San Francisco, CA"],
  "is_remote": false,
  "posted_at": "2026-10-01T18:55:39.000Z",
  "updated_at": "2026-10-01T18:55:39.000Z",
  "salary_min": 196000,
  "salary_max": 245000,
  "salary_currency": "USD",
  "salary_period": "year",
  "salary_text": "USD 196,000 to 245,000 per year",
  "salary_source": "description",
  "job_url": "https://job-boards.greenhouse.io/discord/jobs/8856467002",
  "apply_url": "https://job-boards.greenhouse.io/discord/jobs/8856467002",
  "description_short": "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…",
  "input": "discord"
}
```

An internship with hourly pay and two locations (Figma):

```json
{
  "company": "Figma",
  "company_slug": "figma",
  "platform": "greenhouse",
  "job_id": "6207801004",
  "requisition_id": "2622",
  "title": "PhD Intern, AI Applied Research (2027)",
  "department": "Early Career",
  "location": "San Francisco, CA • New York, NY",
  "locations": ["San Francisco, CA", "New York, NY"],
  "is_remote": false,
  "employment_type": "intern",
  "posted_at": "2026-10-05T17:58:07.000Z",
  "salary_min": 74,
  "salary_max": 74,
  "salary_currency": "USD",
  "salary_period": "hour",
  "salary_text": "USD 74 per hour",
  "salary_source": "posting",
  "job_url": "https://boards.greenhouse.io/figma/jobs/6207801004?gh_jid=6207801004",
  "input": "https://job-boards.greenhouse.io/figma"
}
```

### Pricing

Pay per event: you pay for the job rows you receive, plus a flat $0.005 per run, whatever memory you choose.

| Event | When it is charged | Free plan | Bronze (Starter) | Silver (Scale) | Gold (Business) |
|---|---|---|---|---|---|
| `job-scraped` | Once per job row saved to your dataset | $1.20 per 1,000 | $1.20 per 1,000 | $1.20 per 1,000 | $1.20 per 1,000 |
| `run-start` | Once per run, when it starts | $0.005 | $0.005 | $0.005 | $0.005 |

Free plan runs return up to 10 results each; paid plans have no cap.

The price per single job is the price per 1,000 divided by 1,000. 200 jobs from one company are 200 events.

Never charged:

- companies that are not found, careers pages with no board link, and boards with no open jobs;
- jobs removed by your filters (keywords, exclusions, locations, departments, remote only, posted within);
- jobs above your `maxJobsPerCompany` cap;
- a job already delivered in the same run;
- with `onlyNewJobs` on, jobs an earlier run in your account already delivered;
- the full description (it comes with the board at no extra request);
- retries the actor makes on other IP addresses;
- the information row at the end of the run and the `OUTPUT` run report.

If you set a maximum charge for the run in Apify, the actor stops when it is reached and keeps everything delivered so far.

### FAQ

#### What do I get on the free plan?

On Apify's free plan every run returns the first 10 results as a preview, so you can check the data and the fields before you pay. A paid Apify plan returns every result with no cap, at the prices in the table above.

#### What exactly does this actor read?

Greenhouse's public Job Board API, the same data a company's Greenhouse job board page shows to any visitor: every open job with its description, departments, offices, dates and the pay ranges the employer chose to publish. It reads it live when you run it; there is no cached index in between.

#### How many jobs can I get?

Every open job on a board, up to 5,000 per company per run (`maxJobsPerCompany`), and up to 1,000 companies per run. Most boards hold fewer than 1,000 jobs; Stripe's had 718 on 5 Oct 2026.

#### Where does the pay range come from, and why do some jobs have none?

First from Greenhouse's own pay data, which employers attach to a job to meet US pay transparency laws (`salary_source: "posting"`). When that is empty, the actor reads a range written in the description, and only when a currency, two amounts and a pay word such as salary, pay or compensation appear together (`salary_source: "description"`), so figures like "a $100B market" are ignored. Jobs in places without pay transparency rules often publish no range at all; those rows simply have no salary fields. In our proof run 54% of jobs had one.

#### How do I find a company's board token?

Open the company's job board: the token is the word after the domain, `figma` in `https://job-boards.greenhouse.io/figma`. On a company's own careers site, a job link often ends in `?gh_jid=` followed by a number; pasting the careers page itself lets the actor find the board when the page links to it. You can also simply try the company name.

#### How fresh is the data?

As fresh as the board: every run asks Greenhouse at run time, so a job posted a minute ago is included and a job closed a minute ago is not. `posted_at` is when the job was first published and `updated_at` when it last changed.

#### How long does a run take?

One request per board, three boards at a time. Our six board proof run (820 jobs with full descriptions) took 10.5 seconds; the same input took 22 and 30 seconds on other runs, depending on how quickly the proxy answered. A list of 100 boards usually takes a few minutes.

#### What if a company is not found?

The run goes on with the others. The company gets a status in the `OUTPUT` record (`not_found`, `no_board_on_page` or `page_unreadable`) with the reason, and nothing is charged for it. If no job at all is delivered, the info row in the dataset says why.

#### Do I need a Greenhouse account, cookies or an API key?

No. Job boards are public, and the actor reads them without logging in. Requests go through Apify's datacenter proxy.

#### Can I monitor new jobs over time?

Yes. Switch on `onlyNewJobs` and schedule the actor. The ids of delivered jobs are kept in a named key value store in your Apify account; each run skips, and never charges, jobs a previous run delivered. The first run delivers up to `maxJobsPerCompany` per company, newest first; later runs deliver whatever you have not had yet, so after a catch up run each run returns only jobs posted since.

#### Can I get Lever, Ashby or Workday jobs too?

This actor reads Greenhouse only, so its input and output are built around Greenhouse's data. For several platforms in one run, our [Career Site Jobs Scraper](https://apify.com/themineworks/ats-jobs?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral) reads Greenhouse, Lever, Ashby and Workday together.

#### Why do some job links point to the company's own website?

Employers can host their Greenhouse board inside their own careers site. Greenhouse then gives that address as the job's link (for example `careers.airbnb.com/positions/...?gh_jid=...`), and the application form opens there. `job_id` is the same either way.

#### Which formats can I download?

JSON, CSV, Excel, XML, RSS and an HTML table, from the run's Storage tab or the dataset API. Lists such as `locations` and `pay_ranges` stay lists in JSON and are flattened in CSV and Excel.

#### Can I use it from Claude, ChatGPT or Cursor (MCP)?

- Connector URL: https://mcp.apify.com/?tools=themineworks/greenhouse-jobs-scraper
- Claude: Settings > Connectors > Add custom connector, paste the URL, sign in with Apify.
- ChatGPT: developer mode, add an MCP connector with the URL, sign in with Apify.
- Cursor or VS Code: add it as an HTTP MCP server with that URL.
- Claude Code: `claude mcp add -t http greenhouse-jobs-scraper "https://mcp.apify.com/?tools=themineworks/greenhouse-jobs-scraper"`

#### Is it legal to scrape Greenhouse job boards?

The actor only reads job postings that employers publish for anyone to see, without signing in, and returns no personal contact details. You are responsible for how you use the data, for the terms of the sites involved, and for data protection law such as GDPR and CCPA. If in doubt, ask a lawyer about your use case.

### Integrations

- **Google Sheets**: send each run's rows to a sheet with Apify's Google Sheets integration, or import the CSV link of the dataset.
- **Make, Zapier and n8n**: start the actor and read its dataset with the Apify apps and nodes, for example "new engineering jobs at our target accounts to Slack every morning".
- **Webhooks**: have Apify call your URL when a run succeeds, then fetch the dataset.
- **API and SDKs**: run it from Python or JavaScript with the Apify client, or with a plain HTTP call (see "Copy to your AI assistant" above).
- **MCP clients**: Claude, ChatGPT, Cursor and VS Code can run it as a tool through the connector URL in the FAQ.

### More from The Mine Works

**Jobs and hiring**

- [Foundit Monster India Jobs](https://apify.com/themineworks/foundit-jobs-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Hirist Jobs Scraper](https://apify.com/themineworks/hirist-jobs-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [India Jobs MCP](https://apify.com/themineworks/india-jobs-mcp?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Naukri Jobs Scraper](https://apify.com/themineworks/naukri-jobs?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Shine.com Jobs Scraper](https://apify.com/themineworks/shine-jobs-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Internshala Scraper](https://apify.com/themineworks/internshala-jobs-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Indeed Jobs Scraper](https://apify.com/themineworks/indeed-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Instahyre Jobs Scraper](https://apify.com/themineworks/instahyre-jobs-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Apna Jobs Scraper](https://apify.com/themineworks/apna-jobs-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [CutShort Jobs Scraper](https://apify.com/themineworks/cutshort-jobs-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [LinkedIn Jobs Scraper](https://apify.com/themineworks/linkedin-jobs-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Recruiting & Jobs MCP](https://apify.com/themineworks/recruiting-jobs-mcp?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Social media and video**

- [Threads Scraper](https://apify.com/themineworks/threads-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Reddit Scraper](https://apify.com/themineworks/reddit-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Threads Search Scraper](https://apify.com/themineworks/threads-search-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Instagram Profile Scraper](https://apify.com/themineworks/instagram-profile-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Leads and business directories**

- [B2B Leads Finder](https://apify.com/themineworks/b2b-leads-finder?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Skip Trace Lookup](https://apify.com/themineworks/skip-trace-lookup?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Google Maps Email Scraper](https://apify.com/themineworks/maps-leads?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [2GIS Places Scraper](https://apify.com/themineworks/2gis-places-search?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Marketing, SEO and reviews**

- [Facebook Ad Library Scraper](https://apify.com/themineworks/meta-ad-library-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Google Ads Transparency Scraper](https://apify.com/themineworks/google-ads-transparency?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Similarweb Scraper](https://apify.com/themineworks/similarweb-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Google News Scraper](https://apify.com/themineworks/google-news?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**LinkedIn**

- [LinkedIn Company Scraper](https://apify.com/themineworks/linkedin-company-details?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [LinkedIn Post Scraper](https://apify.com/themineworks/linkedin-post-search?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [LinkedIn Employees Scraper](https://apify.com/themineworks/linkedin-employees?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [LinkedIn Profile Scraper](https://apify.com/themineworks/linkedin-profile-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Real estate**

- [Zillow Rentals Scraper](https://apify.com/themineworks/zillow-rental-listings?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Zillow Sold Comps Scraper](https://apify.com/themineworks/zillow-recently-sold?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [India Real Estate MCP](https://apify.com/themineworks/india-real-estate-mcp?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Housing.com Scraper](https://apify.com/themineworks/housing-com-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Science, health and government data**

- [Academic Research MCP](https://apify.com/themineworks/academic-research-mcp?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [CourtListener Scraper](https://apify.com/themineworks/courtlistener-court-records?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Socrata Open Data Scraper](https://apify.com/themineworks/socrata-open-data?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [OpenAlex Scraper](https://apify.com/themineworks/openalex-scholarly-works?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Company and business data**

- [Company Domain Finder](https://apify.com/themineworks/company-domain-finder?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [GST Taxpayer Lookup](https://apify.com/themineworks/gst-taxpayer-lookup?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Company KYB Resolver](https://apify.com/themineworks/company-identity-resolver?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [SEC EDGAR Filings Scraper](https://apify.com/themineworks/sec-edgar-filings?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**E-commerce and marketplaces**

- [Ozon.ru Scraper](https://apify.com/themineworks/ozon-product-search?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [⭐ Amazon Reviews Scraper](https://apify.com/themineworks/amazon-reviews?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Amazon Product Scraper](https://apify.com/themineworks/amazon-products?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Etsy Listings Scraper](https://apify.com/themineworks/etsy-search-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Food and local services**

- [NoBroker Scraper](https://apify.com/themineworks/nobroker-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Swiggy Restaurant Scraper](https://apify.com/themineworks/swiggy-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Zomato Scraper](https://apify.com/themineworks/zomato-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Developer and AI tools**

- [Website to Markdown Crawler](https://apify.com/themineworks/rag-crawler?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [GitHub Skill Finder](https://apify.com/themineworks/github-skill-discovery?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [GitHub Repo Scraper](https://apify.com/themineworks/github-repo-intelligence?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [GitHub Trending Scraper](https://apify.com/themineworks/github-trending-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**More tools**

- [G2 Reviews Scraper](https://apify.com/themineworks/g2-reviews-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Naver Blog Scraper](https://apify.com/themineworks/naver-blog-posts-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [WeChat Article Scraper 微信公众号文章](https://apify.com/themineworks/wechat-article-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Taobao Products Scraper 淘宝 天猫](https://apify.com/themineworks/taobao-products-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

### Support

Found a Greenhouse board that should work and does not? Open an issue in the Issues tab with the board link and the run ID, and we will look at it. For a new source or a field you need, email dmineworks@gmail.com.

*Paste Greenhouse boards, links or company names, filter by title, place, department and date, and get every open job back as a clean row with its departments, locations, dates and pay range, newest first.*

# Actor input Schema

## `companies` (type: `array`):

One company per line. Accepted: a board link (https://job-boards.greenhouse.io/figma, https://boards.greenhouse.io/discord, the EU host job-boards.eu.greenhouse.io, an embed link with ?for=, or a single job link), a board token (figma), a company name (Scale AI, tried as scaleai and scale-ai), or your company's own careers page that embeds a Greenhouse board (read once to find the board, never charged). Up to 1,000 companies per run; repeats are read once.

## `keywords` (type: `array`):

Keep only jobs whose title has a word starting with one of these, for example engineer (matches Engineering Manager too), data, sales. Not case sensitive. Leave empty for every title.

## `excludeKeywords` (type: `array`):

Drop jobs whose title has a word starting with one of these, for example senior, intern, director.

## `locations` (type: `array`):

Keep only jobs with a location that contains one of these, for example London, New York, Germany, Remote. United States, USA and US match each other, as do United Kingdom and UK. Every location of a job is checked, not only the first.

## `departments` (type: `array`):

Keep only jobs whose Greenhouse department contains one of these words, for example Engineering or Sales. Not case sensitive.

## `remoteOnly` (type: `boolean`):

Keep only jobs that are remote or offer a remote location.

## `postedWithinDays` (type: `integer`):

Keep only jobs posted in the last N days, for example 7. Leave empty for any date.

## `maxJobsPerCompany` (type: `integer`):

Most jobs delivered for any one company, counted after the filters, newest first. 20 to 5,000. Also the most you pay for per company. The form starts at 20 so a first run stays small; API calls that leave it out get 500.

## `includeDescription` (type: `boolean`):

Adds the whole job description as plain text (HTML removed). Every row always has a 500 character description_short. Greenhouse sends the description with the board, so this costs no extra request.

## `onlyNewJobs` (type: `boolean`):

For schedules: skip jobs an earlier run of this actor in your account already delivered, so each run returns and charges only jobs posted since. The list of delivered jobs is kept in a named key value store in your account.

## Actor input object example

```json
{
  "companies": [
    "https://job-boards.greenhouse.io/figma",
    "discord",
    "https://boards.greenhouse.io/airbnb"
  ],
  "remoteOnly": false,
  "maxJobsPerCompany": 20,
  "includeDescription": false,
  "onlyNewJobs": false
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `summary` (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 = {
    "companies": [
        "https://job-boards.greenhouse.io/figma",
        "discord",
        "https://boards.greenhouse.io/airbnb"
    ],
    "maxJobsPerCompany": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("themineworks/greenhouse-jobs-scraper").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 = {
    "companies": [
        "https://job-boards.greenhouse.io/figma",
        "discord",
        "https://boards.greenhouse.io/airbnb",
    ],
    "maxJobsPerCompany": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("themineworks/greenhouse-jobs-scraper").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 '{
  "companies": [
    "https://job-boards.greenhouse.io/figma",
    "discord",
    "https://boards.greenhouse.io/airbnb"
  ],
  "maxJobsPerCompany": 20
}' |
apify call themineworks/greenhouse-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,themineworks/greenhouse-jobs-scraper"
        }
    }
}
```

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/aItyDqJNhFggS8a0B/builds/asZd2CDzZtFkhBb0R/openapi.json