# Greenhouse Jobs Scraper (`compass_lab/greenhouse-jobs-scraper`) Actor Greenhouse jobs scraper and API: export every open job listing from any company's Greenhouse job board (title, location, departments, offices, full description, publish dates) to JSON, CSV or Excel. Official public Job Board API, no login, keyword and location filters. - **URL**: https://apify.com/compass\_lab/greenhouse-jobs-scraper.md - **Developed by:** [COMPASSLAB](https://apify.com/compass_lab) (community) - **Categories:** Jobs, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 **Get Greenhouse job listings as clean JSON, CSV or Excel, from the Apify API or on a schedule. No login, about $1.60 for 1,000 jobs, $4.00 with full descriptions.** ### What does Greenhouse Jobs Scraper do? **Greenhouse Jobs Scraper** extracts structured data from **[job-boards.greenhouse.io](https://job-boards.greenhouse.io)**. Collect all open jobs from public Greenhouse-hosted company job boards through the official Job Board API, with optional keyword and location filters, for job market monitoring, lead generation and recruiting research. It works as an **API for job-boards.greenhouse.io data**: run it from Apify Console, on a schedule, or from your own code, and get clean, typed JSON with numbers as numbers and dates in ISO 8601. ### What you get | | | |---|---| | **Data** | 12 fields per item: `jobId`, `title`, `companyName`, `location`, `departments`, `offices`, ... | | **Formats** | JSON, CSV, Excel, HTML, or the Apify API | | **Price** | $1.60 per 1,000 jobs, $4.00 with full descriptions, pay per result | | **Access** | Public job-boards.greenhouse.io data only: no login, no cookies, robots.txt respected | ### Why use Greenhouse Jobs Scraper? - **Recruiters and staffing agencies**: see which companies are hiring, for which roles and where, and reach out first. - **Job aggregators and job boards**: feed fresh, de-duplicated listings into your own board on a schedule. - **Market research and HR analytics**: track hiring trends, salaries (where published), locations and remote share. - **AI agents and RAG**: give an LLM live, structured job data instead of stale web pages. Main features: - Gets each source's results in as few requests as possible and stops at `maxItems` results. - Filters: `companies` (companies), `keywords` (keywords), `excludeKeywords` (exclude keywords), `location` (location filter), `remoteOnly` (remote only), `postedAfter` (posted after), `keyword` (title keyword), `includeDescription` (include description), `onlyNewSinceLastRun` (only new jobs since the last run), so you only get (and pay for) the results you need. - Polite by default: respects robots.txt, at most `maxConcurrency` parallel requests and a delay between requests. - Checks every result against field validators, so layout changes show up as clear data-quality warnings. - Runs on the Apify platform: scheduling, API access, integrations, monitoring and datasets you can export. ### What data can Greenhouse Jobs Scraper extract? | Field | Type | Description | |---|---|---| | `jobId` | integer | Greenhouse job ID | | `title` | string | Job title | | `companyName` | string | Board token identifying the company (e.g. airbnb) | | `location` | string | Job location name as listed on the board | | `departments` | array | Names of the departments the job belongs to | | `offices` | array | Names of the offices the job belongs to | | `url` | string | Absolute URL of the job posting (absolute\_url) | | `updatedAt` | ISO 8601 date | Last update time (ISO 8601) | | `firstPublished` | ISO 8601 date | First publication time (ISO 8601) | | `requisitionId` | string | Internal requisition ID if the company provides one | | `language` | string | Language code of the posting (e.g. en) | | `descriptionText` | string | Job description with HTML stripped, truncated to 5000 characters | ### How to scrape job-boards.greenhouse.io 1. Open Greenhouse Jobs Scraper in Apify Console and go to the Input tab. 2. Enter what to scrape (see the Input section below), for example the start URLs. 3. Set **Max items** to the number of results you need. 4. Click **Start** and wait for the run to finish. 5. Download the results from the Output tab, or fetch them with the API. ### How much will it cost to scrape job-boards.greenhouse.io? This Actor is priced **per result**: $1.60 per 1,000 results, with no extra charge for platform usage. That is about $1.60 for 1,000 jobs, $4.00 with full descriptions: 100 results cost $0.16 and 10,000 results cost $16.00. Set a maximum cost per run and the Actor stops when it is reached. With **Include description** on, each job comes with its full description text and is priced **$4.00 per 1,000 results** (job with description). Filters (companies, keywords, location, remote only, posted after, only new jobs) run **before** charging: you never pay for jobs you filtered out. ### Input See the Input tab for full configuration options. | Field | Type | Required | Description | |---|---|---|---| | `companies` | array | no | Company names (e.g. Stripe) or job board URLs. Each name is looked up on Greenhouse; names that can't be found are logged and skipped. | | `keywords` | array | no | Keep jobs whose title (and description, when 'Include description' is on) contains any of these words. Case-insensitive. | | `excludeKeywords` | array | no | Drop jobs whose title (and description, when on) contains any of these words. | | `location` | string | no | Optional. Only return jobs whose location name contains this text (case-insensitive). | | `remoteOnly` | boolean | no | Keep only remote jobs (location says Remote/Anywhere, or the source marks the job as remote). | | `postedAfter` | string | no | Keep jobs posted on or after this date (YYYY-MM-DD). Jobs without a date are kept. | | `keyword` | string | no | Optional. Only return jobs whose title contains this text (case-insensitive). | | `includeDescription` | boolean | no | Add the full job description text. Priced as 'job with description'. | | `onlyNewSinceLastRun` | boolean | no | For scheduled runs: skip jobs this same input already returned. The IDs are kept in a named key-value store; delete it to start over. | | `maxItems` | integer | no | Maximum number of items to return (0 = unlimited). | | `startUrls` | array | no | Greenhouse board URLs (https://job-boards.greenhouse.io/{boardToken} or https://boards.greenhouse.io/{boardToken}) or boards-api.greenhouse.io API URLs. The board token is extracted from each URL. | | `maxPages` | integer | no | Maximum listing pages to follow per start URL (pagination). | | `maxConcurrency` | integer | no | Maximum parallel requests (politeness; 1-10). | | `requestDelayMs` | integer | no | Minimum delay between requests, in milliseconds (at least 250). | | `proxyType` | string | no | none (direct connection), datacenter (Apify Proxy, cheapest) or residential (opt-in, billed per GB, fewer blocks). The actor never switches by itself. | | `proxyCountry` | string | no | Two-letter country code for the proxy IP (optional). | Example input: ```json { "startUrls": [ { "url": "https://job-boards.greenhouse.io/airbnb" } ], "maxItems": 75, "maxPages": 3, "maxConcurrency": 2, "requestDelayMs": 1000, "proxyType": "none", "includeDescription": true } ``` ### Output You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. Example results from a real run: ```json [ { "jobId": 8232207, "title": "Accountant", "companyName": "airbnb", "location": "United States", "departments": [ "Financial Planning and Analysis" ], "offices": [ "United States" ], "url": "https://careers.airbnb.com/positions/8232207?gh_jid=8232207", "updatedAt": "2026-09-29T20:00:54-04:00", "firstPublished": "2026-09-25T14:53:46-04:00", "requisitionId": "ONE", "language": "en", "descriptionText": "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 welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible fo…" }, { "jobId": 8184174, "title": "Account Manager", "companyName": "airbnb", "location": "London, United Kingdom", "departments": [ "Business Development" ], "offices": [ "London, United Kingdom" ], "url": "https://careers.airbnb.com/positions/8184174?gh_jid=8184174", "updatedAt": "2026-09-29T20:00:54-04:00", "firstPublished": "2026-09-09T04:35:19-04:00", "requisitionId": "MULTI", "language": "en", "descriptionText": "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 welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible fo…" }, { "jobId": 7789554, "title": "Associate Legal Counsel, Japan", "companyName": "airbnb", "location": "Tokyo, Japan", "departments": [ "Legal" ], "offices": [ "Tokyo, Japan" ], "url": "https://careers.airbnb.com/positions/7789554?gh_jid=7789554", "updatedAt": "2026-09-29T20:00:54-04:00", "firstPublished": "2026-04-13T04:49:05-04:00", "requisitionId": "ONE", "language": "en", "descriptionText": "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 welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible fo…" } ] ``` ### Integrations and API - **Apify API**: start a run and get the results in one HTTP request: ```bash curl -X POST "https://api.apify.com/v2/acts/compass_lab~greenhouse-jobs-scraper/run-sync-get-dataset-items?token=" \ -H "Content-Type: application/json" -d '{"startUrls": [{"url": "https://job-boards.greenhouse.io/airbnb"}], "maxItems": 75, "includeDescription": true}' ``` - **Python** (`pip install apify-client`): ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("compass_lab/greenhouse-jobs-scraper").call(run_input={"startUrls": [{"url": "https://job-boards.greenhouse.io/airbnb"}], "maxItems": 75, "includeDescription": true}) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` - **JavaScript** (`npm install apify-client`): ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: '' }); const run = await client.actor('compass_lab/greenhouse-jobs-scraper').call({"startUrls": [{"url": "https://job-boards.greenhouse.io/airbnb"}], "maxItems": 75, "includeDescription": true}); const { items } = await client.dataset(run.defaultDatasetId).listItems(); ``` - **Make, Zapier, n8n, Google Sheets, webhooks**: use the Apify integrations (Integrations tab) to send each run's results where you need them, or to start a run from your workflow. - **Schedules**: run it hourly, daily or weekly from Apify Console (Schedules) and always have fresh jobs. ### Tips and advanced options - Keep **Max items** and **Max pages** as low as you need: fewer pages means a faster, cheaper run. - Raise **Delay between requests** if the site responds slowly; keep **Max concurrency** low to stay polite. - Missing values are `null`. Fields that often come back empty are listed in the run log as data-quality warnings. - **Companies**: type company names (`Stripe`, `Acme Inc`) or paste job board URLs. Names are matched the way the platform writes them (`Stripe Inc` -> `stripe`); a company that can't be found is named in the log and skipped. - **Daily monitoring**: schedule the Actor with **Only new jobs since the last run** on. Each run returns only jobs it hasn't returned before for the same input. The IDs are kept in a named key-value store called `-seen-` (the run log prints its name); delete that store in Storage > Key-value stores, or change the input, to start over. - **Filters before charging**: keywords, exclude keywords, location, remote only and posted after are applied before a job is saved, so filtered-out jobs cost nothing. ### FAQ, disclaimers and support #### Is it legal to scrape job-boards.greenhouse.io? Checked 2026-10-01. Greenhouse's Job Board API documentation states: "Job Board data is publicly available, so authentication is not required for any GET endpoints." robots.txt on boards-api.greenhouse.io and boards.greenhouse.io only disallows /embed/. Job postings are published by employers for public distribution; this actor collects job data, not personal data. Respect the API: low concurrency, 1 s between requests. Our Actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our Actors, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. #### How many results can I get? Up to `maxItems` per run (0 means no limit), as many as the source lists. Each result is one dataset item, and you are only charged for items that are saved. #### Can I run it on a schedule or from my own code? Yes. Schedule it in Apify Console (Schedules), or call it with the `run-sync-get-dataset-items` endpoint or the Python/JavaScript clients shown in **Integrations and API** above. #### What are the limitations? - Each board comes back in one response, so very large boards (thousands of jobs) make a longer run; use `maxItems` and the filters to keep it small. - Some companies leave fields empty (requisition ID, first published date, departments, offices); those come back as `null` or `[]`. - A wrong or deactivated board token returns no jobs; the run log names the board that failed. - Greenhouse may change its API; the Actor checks every result and warns in the log if fields stop matching. - Job descriptions are written by each employer: use the data for search, monitoring and analysis, and link to the original posting rather than republishing descriptions in bulk. - `descriptionText` is capped at 5,000 characters. #### Where can I get help? Report problems or ideas on the Issues tab. To call this Actor from your own code, see the API tab. ### Related actors **Job Boards Suite**: the same clean, typed output across sources, so you can combine them in one dataset. | Actor | What it scrapes | Price | |---|---|---| | [Breezy HR Jobs Scraper](https://apify.com/compass_lab/breezy-jobs-scraper) | Job listings from Breezy HR | $1.00 / 1,000 | | [Lever Jobs Scraper](https://apify.com/compass_lab/lever-jobs-scraper) | Job listings from Lever | $1.60 / 1,000 | | [Python Jobs Scraper (python.org)](https://apify.com/compass_lab/python-job-board-scraper) | Job listings from Python Jobs Scraper (python.org) | $2.00 / 1,000 | | [Recruitee Jobs Scraper](https://apify.com/compass_lab/recruitee-jobs-scraper) | Job listings from Recruitee | $1.00 / 1,000 | | [We Work Remotely Jobs Scraper](https://apify.com/compass_lab/weworkremotely-jobs-scraper) | Job listings from We Work Remotely | $2.50 / 1,000 | | [Working Nomads Jobs Scraper](https://apify.com/compass_lab/workingnomads-jobs-scraper) | Job listings from Working Nomads | $2.50 / 1,000 | # Actor input Schema ## `companies` (type: `array`): Company names (e.g. Stripe) or job board URLs. Each name is looked up on Greenhouse; names that can't be found are logged and skipped. ## `keywords` (type: `array`): Keep jobs whose title (and description, when 'Include description' is on) contains any of these words. Case-insensitive. ## `excludeKeywords` (type: `array`): Drop jobs whose title (and description, when on) contains any of these words. ## `location` (type: `string`): Optional. Only return jobs whose location name contains this text (case-insensitive). ## `remoteOnly` (type: `boolean`): Keep only remote jobs (location says Remote/Anywhere, or the source marks the job as remote). ## `postedAfter` (type: `string`): Keep jobs posted on or after this date (YYYY-MM-DD). Jobs without a date are kept. ## `includeDescription` (type: `boolean`): Add the full job description text. Changes the price: $4.00 per 1,000 jobs instead of $1.60. ## `onlyNewSinceLastRun` (type: `boolean`): For scheduled runs: skip jobs this same input already returned. The IDs are kept in a named key-value store; delete it to start over. ## `maxItems` (type: `integer`): Maximum number of items to return (0 = unlimited). You pay per result, so this also caps the cost. ## `startUrls` (type: `array`): Greenhouse board URLs (https://job-boards.greenhouse.io/{boardToken} or https://boards.greenhouse.io/{boardToken}) or boards-api.greenhouse.io API URLs. The board token is extracted from each URL. ## `maxPages` (type: `integer`): Maximum listing pages to follow per start URL (pagination). ## `maxConcurrency` (type: `integer`): Maximum parallel requests (politeness; 1-10). ## `requestDelayMs` (type: `integer`): Minimum delay between requests, in milliseconds (at least 250). ## `proxyType` (type: `string`): none (direct connection), datacenter (Apify Proxy, cheapest) or residential (opt-in, billed per GB, fewer blocks). The actor never switches by itself. ## `proxyCountry` (type: `string`): Two-letter country code for the proxy IP (optional). ## Actor input object example ```json { "companies": [ "airbnb", "gitlab", "stripe" ], "remoteOnly": false, "includeDescription": false, "onlyNewSinceLastRun": false, "maxItems": 20, "maxPages": 3, "maxConcurrency": 2, "requestDelayMs": 1000, "proxyType": "none" } ``` # Actor output Schema ## `dataset` (type: `string`): All scraped items (overview view) # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "companies": [ "airbnb", "gitlab", "stripe" ], "includeDescription": false, "maxItems": 20, "maxPages": 3, "maxConcurrency": 2, "requestDelayMs": 1000, "proxyType": "none" }; // Run the Actor and wait for it to finish const run = await client.actor("compass_lab/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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "companies": [ "airbnb", "gitlab", "stripe", ], "includeDescription": False, "maxItems": 20, "maxPages": 3, "maxConcurrency": 2, "requestDelayMs": 1000, "proxyType": "none", } # Run the Actor and wait for it to finish run = client.actor("compass_lab/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": [ "airbnb", "gitlab", "stripe" ], "includeDescription": false, "maxItems": 20, "maxPages": 3, "maxConcurrency": 2, "requestDelayMs": 1000, "proxyType": "none" }' | apify call compass_lab/greenhouse-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,compass_lab/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 ` 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/SvzJNiHUelKOi2gDG/builds/N9QNSV8YY7usMPx5z/openapi.json