Breezy HR Jobs Scraper (Salaries & Hiring Emails)

Pull every open job directly from any live Breezy HR (*.breezy.hr) company board in seconds: real-time /json feeds + full HTML/plain-text descriptions, salary ranges, remote/hybrid classification, recruiter emails, corporate domains, and stateful change monitoring.

Unlike $1.30/1k cached index scrapers (such as jobo.world) that cap results at 100 items per query and lag behind live boards by 24+ hours, this Actor scrapes any live Breezy HR board in real time with no 100-item page cap and includes a built-in directory of verified active Breezy HR companies—running in just 128 MB of memory.

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Which companies can I scrape?

Any company that posts its jobs on Breezy HR, not just the ones in our built-in list. Add as many as you like to urls, in any of these forms:

You paste	Example
The company's Breezy HR board URL	https://mukuru.breezy.hr
Just the company's slug	mukuru
A single job URL	https://mukuru.breezy.hr/p/<job-id>

Finding the slug: open any job on the company's careers page and look at the address bar. The slug is the first part of the address: mukuru.breezy.hr.

What's the built-in directory? An optional shortcut. Turn on includeBuiltInTechDirectory to also scan a short list of verified companies without typing anything. It's off by default and never limits what you can scrape.

Optional Starter Directory (Any Breezyhr Board URL or Slug Works in urls)

You can scrape any company that uses Breezyhr by pasting its board URL or company slug into urls. The 6 companies below are only the optional built-in starter list (scanned when you turn on "includeBuiltInTechDirectory": true)—they never restrict which companies you can scrape:

breezy (Breezy HR — breezyhr.com), mukuru (Mukuru — mukuru.com), shopritex (ShopriteX — shopritex.co.za), rhynocare (Rhyno Healthcare Solutions — rhynocare.com), drips (Drips — drips.com), nationsbenefits (NationsBenefits — nationsbenefits.com)

Scraping companies across multiple ATS platforms? Combine this Actor with our other live 31-field job scrapers (All-in-One ATS Job Scraper, Workday Jobs Scraper, Greenhouse Jobs Scraper, Lever Jobs Scraper, Ashby Job Scraper, SmartRecruiters Jobs Scraper, Rippling Jobs Scraper, Workable Jobs Scraper, Recruitee Jobs Scraper)—all sharing the exact same 31-field output schema (companyDomain, salaryMin, salaryMax, recruiterEmails, isNew) so they plug into a single n8n, Make, Clay, or Python pipeline with zero field-mapping changes.

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Quick Start — 3 Common Workflows

Click Save & Start in Apify Console to run the prefilled sample immediately, or copy one of these ready-to-run JSON inputs:

1. Targeted Keyword & Remote Job Search

{
  "urls": ["breezy", "mukuru", "shopritex"],
  "keywordFilter": "engineer, ai, -intern",
  "remoteOnly": true,
  "maxJobsPerCompany": 25
}

2. Scheduled Daily Change Monitor (Emit Only Net-New Jobs)

Run on an hourly or daily schedule—the first run establishes your baseline, and every subsequent run outputs only newly posted jobs (while logging closed/expired job IDs to RUN_SUMMARY):

{
  "urls": ["breezy", "mukuru", "shopritex"],
  "onlyNewJobs": true,
  "monitorName": "daily-watchlist",
  "maxJobsPerCompany": 50
}

3. Zero-Input Built-In Directory Scan (B2B Hiring Signals & Clay / CRM Enrichment)

Scan our built-in directory of verified companies without hunting down board URLs—every output record includes companyDomain, salaryFormatted, and recruiterEmails:

{
  "urls": [],
  "includeBuiltInTechDirectory": true,
  "deduplicateMultiLocationJobs": true,
  "maxJobsPerCompany": 15,
  "maxTotalJobs": 300
}

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Why developers switch to this Actor

	This Actor (data-goose)	Cached index scrapers (jobo.world, etc.) / Browser scrapers
Architecture & Freshness	Real-time HTTP against https://{slug}.breezy.hr/json + Semaphore(12) detail pool (128 MB RAM)	24-hour stale cached database or 2 GB Headless Chrome
Result Cap	✅ No 100-item page cap—scrapes 100% of open postings on any board	❌ Hard-capped at 100 results per run
Full Descriptions + Salaries	✅ Fetches JSON-LD JobPosting / .description HTML and extracts structured salary + regex ranges	❌ Truncated snippets or missing salaries
B2B Enrichment (companyDomain & recruiterEmails)	✅ Derives root companyDomain and extracts recruiterEmails	❌ Missing
Change Monitor + Closed Job Tracking	✅ onlyNewJobs emits net-new jobs and records closedJobCount + closedJobKeys in RUN_SUMMARY	❌ No closed job tracking

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Drop-in migration from other job scrapers

• Input: accepts urls as plain strings, bare slugs ("breezy", "mukuru"), full Breezy HR URLs (https://breezy.breezy.hr), single job URLs (https://breezy.breezy.hr/p/12345), or legacy request-list objects ([{"url": "..."}]).
• Output: emits the unified 31-field schema shared across all 10 data-goose ATS scrapers.

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Input

Field	Type	Default	Description
urls	array	["breezy", "mukuru", "shopritex", "rhynocare"]	Breezy HR board URLs, single job URLs, or bare company slugs
includeBuiltInTechDirectory	boolean	false	Also scan the built-in list of verified Breezy HR companies
keywordFilter	string	–	Case-insensitive regex, comma/pipe OR terms, and -exclude tokens
excludeKeywordFilter	string	–	Comma-separated keywords or regex excluded from job titles
departmentFilter	string	–	Substring match on department names
locationFilter	string	–	Substring match on job locations
remoteOnly	boolean	false	Only jobs classified as Remote
publishedAfter	string	–	YYYY-MM-DD. Keeps jobs published on or after this date
deduplicateMultiLocationJobs	boolean	false	Merge identical (companyToken, title, department) postings across cities into one item
onlyNewJobs	boolean	false	Change monitor: emit only net-new jobs and record closed jobs in RUN_SUMMARY
monitorName	string	"default"	Separate state key for each watchlist or scheduled task
maxJobsPerCompany	integer	20	Cap per board (0 = automatic fair share across boards)
maxTotalJobs	integer	80	Maximum total jobs across the run

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Output (Unified 31-Field Schema)

{
  "id": "9f8e7d6c5b4a",
  "type": "Full-time",
  "title": "Senior Full-Stack Engineer",
  "description": "About Us\nWe are looking for a Senior Full-Stack Engineer...",
  "locations": ["Remote"],
  "department": "Engineering",
  "postingUrl": "https://breezy.breezy.hr/p/9f8e7d6c5b4a-senior-full-stack-engineer",
  "applyUrl": "https://breezy.breezy.hr/p/9f8e7d6c5b4a-senior-full-stack-engineer/apply",
  "publishedAt": "2026-11-01T12:00:00.000Z",
  "ats": "breezyhr",
  "companyToken": "breezy",
  "companyName": "Breezy HR",
  "companyDomain": "breezy.hr",
  "internalJobId": "9f8e7d6c5b4a",
  "requisitionId": null,
  "updatedAt": "2026-11-01T12:00:00.000Z",
  "isRemote": true,
  "workplaceType": "Remote",
  "departments": ["Engineering"],
  "offices": ["Remote"],
  "salaryMin": 140000.0,
  "salaryMax": 175000.0,
  "salaryCurrency": "USD",
  "salaryInterval": "year",
  "salaryFormatted": "USD 140,000 - 175,000 / year",
  "salaryRanges": [
    {
      "min": 140000.0,
      "max": 175000.0,
      "currency": "USD",
      "interval": "year",
      "title": null,
      "blurb": "$140,000 - $175,000 / year",
      "formatted": "USD 140,000 - 175,000 / year",
      "source": "breezy_salary"
    }
  ],
  "recruiterEmails": [],
  "metadata": {
    "friendlyId": "9f8e7d6c5b4a-senior-full-stack-engineer"
  },
  "isNew": true,
  "descriptionHtml": "<p>About Us...</p>",
  "questions": null
}

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Pricing (Pay-Per-Event — No Monthly Subscription)

This Actor uses transparent Pay-Per-Event pricing. You only pay for jobs actually written to your dataset—filtered-out records and already-seen records (onlyNewJobs: true) cost $0.

Plan Tier	Per Job (apify-default-dataset-item)	Cost per 1,000 Jobs	Actor Start Fee (apify-actor-start)	Proxy Cost
Free	$0.00150	$1.50	$0.005	$0 (no proxy needed)
Bronze	$0.00130	$1.30	$0.005	$0
Silver	$0.00110	$1.10	$0.005	$0
Gold / Platinum / Diamond	$0.00090	$0.90	$0.005	$0

• 128 MB Memory Footprint: Runs in pure async HTTP (128 MB RAM instead of 1–4 GB headless browsers), reducing Apify compute usage by 8x–32x.
• Built-in Spend Cap Protection: Use maxTotalJobs / maxJobsPerCompany or Apify's Maximum cost per run setting to cap spend to the exact cent.

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API Usage

Python (apify-client)

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("data-goose/breezyhr-job-scraper").call(run_input={
    "urls": ["breezy", "mukuru", "shopritex", "rhynocare"],
    "onlyNewJobs": True,
    "monitorName": "breezy-daily",
})

for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["companyName"], "|", job["companyDomain"], "|", job["title"], "|", job["salaryFormatted"])

n8n / Make (HTTP Request)

• Method: POST
• URL: https://api.apify.com/v2/acts/data-goose~breezyhr-job-scraper/run-sync-get-dataset-items
• Headers: Authorization: Bearer {{APIFY_TOKEN}}, Content-Type: application/json
• Body:

{
  "urls": ["breezy", "mukuru", "shopritex", "rhynocare"],
  "onlyNewJobs": true,
  "monitorName": "n8n-breezy"
}

cURL

curl -X POST "https://api.apify.com/v2/acts/data-goose~breezyhr-job-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"urls": ["breezy", "mukuru", "shopritex", "rhynocare"], "maxJobsPerCompany": 20}'

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Explore the Data Goose Scraper Suite (128 MB Pure-HTTP)

All published Actors below run in 128 MB RAM with zero browser overhead and deterministic schemas (all ATS & Job scrapers share the exact same 31-field output schema):

Actor	Target Platform & Primary Use Case
All-in-One ATS Job Scraper (9 Platforms) (data-goose/career-site-job-scraper)	All-in-One Router: auto-detects & scrapes all 9 ATS platforms from any company domain or URL
Workday Jobs Scraper: Unlimited API & Salaries (data-goose/workday-job-scraper)	Workday: Fortune 500 & global enterprises (>2,000 facet bypass + 100+ built-in boards)
Greenhouse Jobs Scraper (Fast API & Salaries) (data-goose/greenhouse-job-scraper)	Greenhouse: High-growth tech & unicorns (US + EU API, pay_transparency salaries)
Lever Jobs Scraper (US & EU Postings API) (data-goose/lever-job-scraper)	Lever: Tech & scaleups (US + EU fallback, native salaryRange + combined lists)
Ashby Job Scraper (YC Startups & Salaries) (data-goose/ashby-job-scraper)	Ashby: AI startups & YC companies (includeCompensation=true structured salary tiers)
SmartRecruiters Jobs Scraper (Enterprise API & Salaries) (data-goose/smartrecruiters-job-scraper)	SmartRecruiters: Global enterprises (ServiceNow, Bosch, Experian, Eurofins)
Rippling Jobs Scraper (ATS Boards & Salaries) (data-goose/rippling-job-scraper)	Rippling ATS: Modern startups & scaleups (/api/v1/board/{slug}/jobs + pay ranges)
Workable Jobs Scraper: Direct API & Salaries (data-goose/workable-job-scraper)	Workable: Mid-market & European tech (v3 list + v2 detail orchestration)
Recruitee Jobs Scraper (Bulk API, Salaries & Emails) (data-goose/recruitee-job-scraper)	Recruitee: European & remote-first companies (single-call /api/offers JSON)
Breezy HR Jobs Scraper (Salaries & Hiring Emails) (data-goose/breezyhr-job-scraper)	Breezy HR: SMB & agencies (live /json feeds + full descriptions, no 100-item cap)

Looking for our E-Commerce, Lead Enrichment, Financial & Trend Scrapers? Browse all published 128 MB pure-HTTP scrapers on the Data Goose Apify Store Profile.

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Support & Custom Contracting

• 🐛 Bugs & feature requests: open an issue on the Actor's Issues tab or email us.
• 📧 datagoosedev@gmail.com — we reply within one business day.