# Greenhouse Jobs Scraper (`vocal_rhapsody/greenhouse-jobs`) Actor Greenhouse job board scraper: every open job from any company's Greenhouse careers page via the official public Job Board API. Title, department, location, salary range, description, apply URL. Only new jobs since last run. - **URL**: https://apify.com/vocal_rhapsody/greenhouse-jobs.md - **Developed by:** [GovData Tools](https://apify.com/vocal_rhapsody) (community) - **Categories:** Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.75 / 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. 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 (Official API, Salary, Only New Jobs) Get every open job from any company's **Greenhouse careers page** as JSON, CSV or Excel: title, department, location, remote/hybrid, salary range when published, full description and apply link. Uses Greenhouse's official public job board API (boards-api.greenhouse.io), so runs are fast and stable. Turn on **Only new since last run** and schedule it to get just the jobs posted since yesterday. Built for recruiters and staffing agencies, job boards and aggregators, sales teams using hiring as a buying signal, and labour-market researchers. ### Why this Actor - **$0.75 per 1,000 jobs**, below other Greenhouse scrapers on the Store. Pay per result, no subscription. - **Official API, no scraping of HTML pages.** One request per company; no proxies, no browser. - **Same output fields across our Greenhouse, Lever and Ashby scrapers**, so you can mix sources in one sheet. - **Only new jobs.** A built-in memory per configuration returns just new postings on scheduled runs. ### What data you get | Field | Example | |---|---| | title | Senior Software Engineer | | companyName / company | Board name (and display name when Greenhouse provides it) | | department, team | Engineering, Backend | | location, allLocations, country | London, UK; Remote (Europe) | | workplaceType, isRemote | hybrid, false | | employmentType | Full-time | | salaryMin, salaryMax, salaryCurrency, salaryInterval, salaryText | when the company publishes pay | | description | plain text, emails removed | | postedAt, updatedAt | ISO 8601 | | url, applyUrl | posting and application pages | ### How to use 1. Find the board name in the company's careers URL: `https://boards.greenhouse.io/` (for example `airbnb`). 2. Paste one or more names or URLs into **Companies**, add optional filters (title keywords, locations, departments, remote only, posted within N days). 3. Run, or save as a task and add a daily schedule with **Only new since last run** on. ```json { "companies": ["airbnb", "discord"], "keywords": ["engineer"], "remoteOnly": false, "maxItems": 100 } ``` ### Output example Two jobs from a real run (descriptions shortened here): ```json [ { "jobId": "greenhouse:airbnb:8316843", "ats": "greenhouse", "company": "airbnb", "companyName": "Airbnb", "title": "Connectivity Partner Manager", "department": "Business Development", "team": null, "location": "United States", "allLocations": [ "United States" ], "country": null, "workplaceType": null, "isRemote": null, "employmentType": null, "salaryMin": 111000, "salaryMax": 123000, "salaryCurrency": "USD", "salaryInterval": null, "salaryText": "USD 111,000–123,000", "description": "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…", "postedAt": "2026-10-23T17:22:56.000Z", "updatedAt": "2026-10-24T13:20:32.000Z", "url": "https://careers.airbnb.com/positions/8316843?gh_jid=8316843", "applyUrl": "https://careers.airbnb.com/positions/8316843?gh_jid=8316843", "sourceUrl": "https://boards-api.greenhouse.io/v1/boards/airbnb/jobs", "scrapedAt": "2026-10-24T14:50:01.133Z" }, { "jobId": "greenhouse:airbnb:8318155", "ats": "greenhouse", "company": "airbnb", "companyName": "Airbnb", "title": "Senior Compliance Lead, EMEA", "department": "Business Operations/Analysis", "team": null, "location": "Brussels", "allLocations": [ "Brussels", "Brussels, Brussels Hoofstedelijk Gewest#Région de Bruxelles-Capitale, Belgium", "Dublin, Ireland", "London, United Kingdom" ], "country": null, "workplaceType": null, "isRemote": null, "employmentType": null, "salaryMin": 130000, "salaryMax": 160000, "salaryCurrency": "EUR", "salaryInterval": null, "salaryText": "EUR 130,000–160,000", "description": "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…", "postedAt": "2026-10-23T14:32:32.000Z", "updatedAt": "2026-10-23T14:32:32.000Z", "url": "https://careers.airbnb.com/positions/8318155?gh_jid=8318155", "applyUrl": "https://careers.airbnb.com/positions/8318155?gh_jid=8318155", "sourceUrl": "https://boards-api.greenhouse.io/v1/boards/airbnb/jobs", "scrapedAt": "2026-10-24T14:50:01.133Z" } ] ``` ### Ready-made tasks Start from a pre-filled search, then add your own companies: - [AI & Big Tech Software Engineering Jobs (Greenhouse)](https://console.apify.com/create-task-from-example/ln35m0xqh8dakersd) - [Remote Jobs at Top Tech Companies (Greenhouse)](https://console.apify.com/create-task-from-example/VCA67IkmDcFRTtUhV) For a daily feed, turn on **Only new since last run** and add a schedule. ### Pricing $0.75 per 1,000 jobs (pay per result): you are charged for each job pushed to the dataset, plus a tiny per-run start fee. Use **Max items** to cap a run. Runs use 256 MB and finish in seconds. ### Use cases - **Recruiting and staffing:** daily feed of new roles at target companies. - **Job boards and aggregators:** keep listings fresh from source, with salary data where published. - **Sales intelligence:** companies hiring for a function (e.g. "data engineer") are buying signals. - **Market research:** hiring trends by department, location and pay. ### FAQ **How do I find a company's board name?** Open their careers page; if it is hosted on Greenhouse, the URL looks like `boards.greenhouse.io/`. **Does it need a login or API key?** No. The Greenhouse job board API is public. **Is salary always available?** Only when the company publishes pay ranges on Greenhouse. **How fresh is the data?** Live: every run reads the current open jobs. ### Limitations - Only jobs on public Greenhouse boards; companies that host jobs elsewhere are not covered. - A board name that does not exist is skipped with a warning; the run fails only if no board can be read. - Requests are paced at one per second, so very long company lists take longer. ### See also [Greenhouse Jobs Scraper](https://apify.com/vocal_rhapsody/greenhouse-jobs) · [Lever Jobs Scraper](https://apify.com/vocal_rhapsody/lever-jobs) · [Ashby Jobs Scraper](https://apify.com/vocal_rhapsody/ashby-jobs) ### Changelog See CHANGELOG.md. # Changelog This Actor's version history is a separate document: https://apify.com/vocal_rhapsody/greenhouse-jobs/changelog.md # Actor input Schema ## `companies` (type: `array`): Greenhouse job board names or URLs, e.g. "airbnb" or https://boards.greenhouse.io/airbnb. The name is the part after the domain in the company's Greenhouse careers page URL. One request per company. ## `keywords` (type: `array`): Keep jobs whose title contains any of these (case-insensitive), e.g. "engineer", "sales". Leave empty for all jobs. ## `excludeKeywords` (type: `array`): Drop jobs whose title contains any of these, e.g. "intern", "senior". ## `locations` (type: `array`): Keep jobs whose location text contains any of these, e.g. "London", "Remote", "United States". ## `departments` (type: `array`): Keep jobs whose department or team contains any of these, e.g. "Engineering", "Sales". ## `remoteOnly` (type: `boolean`): Keep only jobs marked remote (or with "Remote" in the location). ## `postedWithinDays` (type: `integer`): Keep only jobs first published in the last N days. Leave empty for all open jobs. ## `includeDescription` (type: `boolean`): Plain-text description (emails removed, up to 20,000 characters). Turn off for smaller output. ## `onlyNew` (type: `boolean`): Turn this on in your scheduled task to return only jobs not seen in earlier runs with the same companies and filters. Seen jobs are kept per configuration in the named key-value store "greenhouse-jobs-state" in your account. Off (the default) returns every matching open job on each run. ## `resetState` (type: `boolean`): Forget previously seen jobs for this configuration (with onlyNew on, the next run returns everything again). ## `maxItems` (type: `integer`): Stop after this many jobs. You are charged per job, so this keeps the cost of a run predictable. Newest jobs come first within each company. ## Actor input object example ```json { "companies": [ "airbnb", "discord" ], "remoteOnly": false, "includeDescription": true, "onlyNew": false, "resetState": false, "maxItems": 20 } ``` # Actor output Schema ## `results` (type: `string`): One item per matching open job (new since last run when onlyNew is on). ## `runSummary` (type: `string`): Boards read, boards not found, jobs read, items pushed, runtime. # 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", "discord" ], "maxItems": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("vocal_rhapsody/greenhouse-jobs").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", "discord", ], "maxItems": 20, } # Run the Actor and wait for it to finish run = client.actor("vocal_rhapsody/greenhouse-jobs").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", "discord" ], "maxItems": 20 }' | apify call vocal_rhapsody/greenhouse-jobs --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,vocal_rhapsody/greenhouse-jobs" } } } ``` 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/44uZnwsRJZh3MECxm/builds/4Pld3xpC79Eag0HBt/openapi.json