Use Hcareers Hotel & Restaurant Job Finder by Category with Python

Search Hcareers hospitality job listings by keyword, location, state/province, or 26 job categories, with employment-type and remote filters, full descriptions, and parent-brand details.

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.

{
  "employerUrls": [],
  "employmentTypes": [],
  "fetchFullDescription": true,
  "includeEmployerJobs": true,
  "jobUrls": [],
  "keywords": "chef",
  "maxItems": 24,
  "mode": "search",
  "remoteOnly": false
}

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

Field	Type	Required	Description
`mode`	string	required	What to fetch.
`keywords`	string	optional	Free-text search terms (job title, skill, employer/brand name). Leave empty to browse by category/state/brand only. (mode=search)
`location`	string	optional	City, region, or landmark to search near (e.g. `New York, NY`, `Miami Beach`). (mode=search)
`state`	string	optional	Restrict to a US state or Canadian province. Oregon, Puerto Rico and Quebec are kept for older saved tasks; they have no current Hcareers postings. (mode=search)
`category`	string	optional	Restrict to a specific hospitality job category. (mode=search)
`brand`	string	optional	Restrict to jobs at properties of a specific hotel brand or group. (mode=search)
`remoteOnly`	boolean	optional	Only remote-eligible positions. On its own this uses Hcareers' dedicated remote list; combined with other filters it keeps only remote matches of the combined search. (mode=search)
`employmentTypes`	array	optional	Keep only jobs whose listing badges match one of the selected types. (mode=search)
`jobUrls`	array	optional	Direct Hcareers job posting URLs or job IDs, e.g. `https://www.hcareers.com/jobs/4239412-bell-person` or `4239412`.
`employerUrls`	array	optional	Hcareers employer profile URLs or slugs, e.g. `https://www.hcareers.com/omni-hotels-resorts` or `grand-casinos`.
`includeEmployerJobs`	boolean	optional	Also collect each employer's open job postings beside its profile. (mode=employers)
`fetchFullDescription`	boolean	optional	In mode=search, visit each job's detail page for the full description, pay, apply link, photos and property profile. Always on for mode=allJobs and mode=byUrls. (mode=search)
`updatedSince`	string	optional	Optional cutoff for incremental runs — a date `2026-10-11` or a full timestamp `2026-10-11T08:30:00`. Only jobs whose Hcareers index entry changed on/after it are returned.
`maxItems`	integer	optional	Hard cap on emitted records (jobs plus employer profiles).

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/7RmIU4jIs8a7yOKmM/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.

Hospitality job postings and employer profiles from Hcareers — titles, employers, brands, locations, pay ranges, perks, apply links, full descriptions, and company details.

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 TJjUQ7nV32MbcqsSD and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.