Use Greenhouse ATS Job Board Lookup by Company with Python

Pull every open role from one or more Greenhouse company boards, or look up specific postings by job ID, with location, department, employment type, salary, and apply link for each.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "companies": [
    "airbnb"
  ],
  "content": false,
  "descriptionFormat": "html",
  "employmentType": "any",
  "includeQuestions": false,
  "maxItems": 1,
  "maxJobsPerCompany": 0,
  "mode": "companyJobs",
  "onlyWithSalary": false,
  "salaryCurrency": "any",
  "sortBy": "board",
  "verifyCompanies": true,
  "workplaceType": "any"
}

Download input.example.json and save your reviewed copy as input.json.

Field	Type	Required	Description
`mode`	string	required	What to fetch: jobs from company boards, specific job URLs, or company board lookup.
`companies`	array	optional	Board tokens, board URLs, embed URLs, job URLs, company names or domains. Examples: "stripe", "https://job-boards.greenhouse.io/figma", "Airbnb", "jobs.elastic.co".
`jobUrls`	array	optional	Full Greenhouse job URLs to fetch one by one. A company board URL alone is not enough; include /jobs/<id>.
`searchQuery`	string	optional	Name or token text to match against the built-in company directory. Leave empty to resolve the Companies list instead.
`titleKeywords`	array	optional	Keep jobs whose title contains any of these words (case-insensitive).
`excludeTitleKeywords`	array	optional	Drop jobs whose title contains any of these words (case-insensitive).
`locations`	array	optional	Keep jobs whose location or office contains any of these words, e.g. Remote, London, New York.
`departments`	array	optional	Keep jobs in departments that contain any of these words, e.g. Engineering, Sales.
`workplaceType`	string	optional	Keep remote, hybrid or on-site roles. Jobs without a stated arrangement are dropped when this is not Any.
`employmentType`	string	optional	Keep full-time, part-time, contract, internship or temporary roles when the employer states it.
`publishedAfter`	string	optional	Keep jobs first published on or after this date (YYYY-MM-DD).
`updatedAfter`	string	optional	Keep jobs last updated on or after this date (YYYY-MM-DD).
`onlyWithSalary`	boolean	optional	Keep only jobs with a published or clearly stated pay range.
`minAnnualSalary`	integer	optional	Keep jobs whose base pay reaches at least this yearly amount. Hourly, monthly and weekly ranges are annualized.
`salaryCurrency`	string	optional	Only keep jobs with pay in this currency. Use Any to ignore currency.
`sortBy`	string	optional	Result order after filtering.
`content`	boolean	optional	Include the full job description. Departments and offices are always included (fetched separately when descriptions are off).
`descriptionFormat`	string	optional	Format used when Include job descriptions is on. HTML is always the content field; text/markdown add contentText/contentMarkdown.
`includeQuestions`	boolean	optional	Fetch each job's application form questions. Adds one request per emitted job.
`maxItems`	integer	optional	Maximum number of job or company records to emit.
`maxJobsPerCompany`	integer	optional	Cap jobs per company after filters (mode=companyJobs). 0 means no per-company cap.
`verifyCompanies`	boolean	optional	Check each company against the live board and report its open-job count.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/iAMfb4Uf2haeImsKk/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

One record per Greenhouse job (title, company, locations, departments, structured pay, dates, apply link) or per company in company-search mode.

Questions before you run

Which inputs are required?

The published required fields are mode

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Open on Apify Full Actor reference

Generated from source build gRN0mLqin4dVb7ZGK and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.