Breezy HR Jobs Scraper

Paste the Breezy HR careers pages of the companies you follow — navaide, social-discovery-ventures.breezy.hr, a few or a few hundred — and get every open role with title, department, locations, remote flag, employment type, posting date and the salary text when the company publishes one (the two example boards: 70 roles in 6 s on 17 Oct 2026). Put the same list on a weekly schedule and every run marks exactly which roles are new and which have closed since the last one. $0.50 per 1,000 jobs, no login, no cookies.

Don't know which companies to watch? The Greenhouse Jobs Scraper searches 4,800 companies by job title — no company names needed — and reports exactly which matching roles are new or closed each run.

Then: the companyName column (Navaide, Social Discovery Group) goes straight into LinkedIn Company Scraper — Employee Count & Headcount Growth to see whether the companies that are hiring are also growing.

Call it from a script or a schedule

curl -X POST "https://api.apify.com/v2/acts/northbell~breezy-hr-jobs-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies":["navaide","social-discovery-ventures"]}'

The response is the rows themselves (a JSON array). To run it on a timetable instead, save the input as a task in Apify Console and add a Schedule; n8n, Make and Zapier run it through their Apify app with the same input.

Why the "new / closed" is exact here

Most job scrapers search a job site and get back a sample: run the same search twice and a different slice comes back, so "new since yesterday" is partly noise. A Breezy HR board is different — the company's public API returns every open role at once. So this Actor keeps the list of role IDs from your last run and compares: a role that appears is new, a role that disappears has closed. No estimation.

Read from the public JSON feed every Breezy careers page publishes.

What you get

Field
title, department, team	as the company wrote them
location, locations	the main location and every secondary one
remote, workplaceType, employmentType	when the board provides them — otherwise null, not a guess
salaryMin, salaryMax, salaryCurrency, salaryInterval	Breezy publishes pay as text (e.g. "$60k – $80k / year"); it is kept as salaryText, not split into guessed numbers.
postedAt	the real publish date from the board
isNewSinceLastRun	true / false, or null on the first run (unknown, not "old")
description	full text, HTML stripped (turn off with Include the full description)
jobUrl, applyUrl	links straight to the posting

Closed roles come back as their own rows (type: "closed") with the title and when they were last seen. Each company also gets one free summary row (type: "company") with openRoles, newRoles, closedRoles and netChange — the hiring signal without counting rows yourself.

Input

Put the company's board name or careers-page URL in Companies — for example navaide or acme.breezy.hr. Many companies in one run is fine and cheaper than one run each.

Optional filters (title, location, remote only, published salary only) narrow what you get back. They do not change the new/closed comparison, which always uses the full board — so changing a filter never makes roles look "closed".

A company that is not on Breezy HR, or has no public board, comes back as an error row and the run carries on.

Example output

One real row from a test run (long text shortened here with …):

{
  "type": "job",
  "provider": "breezy",
  "board": "breezy",
  "companyName": "MS Breezy Trial",
  "team": null,
  "updatedAt": null,
  "description": null,
  "salaryMin": null,
  "salaryMax": null,
  "salaryCurrency": null,
  "salaryInterval": null,
  "salaryText": "$0.05 – $0.06 / hour",
  "jobId": "98323abf2296",
  "title": "Employee #12",
  "department": "Does Not Matter",
  "location": "Chaos, FL",
  "locations": [
    "Chaos, FL"
  ],
  "workplaceType": null,
  "remote": false,
  "employmentType": "Other",
  "postedAt": "2024-02-15T14:37:22.684Z",
  "jobUrl": "https://breezy.breezy.hr/p/98323abf2296-employee-12",
  "applyUrl": "https://breezy.breezy.hr/p/98323abf2296-employee-12",
  "company": "MS Breezy Trial",
  "isNewSinceLastRun": false
}

Get only the new roles every morning (3 steps)

1. Open this Actor in Apify Console, fill in your input, set What to return to Only … new since the last run, and click Save as a new task.
2. On the task, add a Schedule — daily at 07:00, or weekly on Monday.
3. Open the task's Integrations tab and connect Slack, email, Google Sheets (or Zapier / Make / a webhook). Each run then delivers only what is new.

You pay only for the new rows plus $0.01 per run, so a quiet day costs about a cent.

Pricing

Pay per role returned — $0.50 per 1,000 roles, plus $0.01 per run. Closed-role rows and errors are free.

For AI agents

Call with {"companies": ["navaide"]}. Each row has type: job, closed or error. isNewSinceLastRun: null means "no previous run to compare with", not "old".

Filters on every run (10/2026): posted within the last N days, experience level (read from the title: intern → executive, also returned as a seniority column) and employment type. They only narrow what is returned — no extra requests, no extra cost.

Same core columns on every northbell job scraper (10 company-career-page scrapers + 15 job sites), so you can stack them into one table: jobId, title, company, location, remote (true / false / null), employmentType, postedAt, jobUrl, salaryMin, salaryMax, salaryCurrency, salaryInterval, isNewSinceLastRun. Unknown is null, never a guess.

Sister Actors

Greenhouse Jobs Scraper · Lever Jobs Scraper · Ashby Jobs Scraper · Workday Jobs Scraper · Workable Jobs Scraper · SmartRecruiters Jobs Scraper · Recruitee Jobs Scraper · Personio Jobs Scraper · Breezy HR Jobs Scraper — same fields, same exact change tracking, one per job-board provider.

For LinkedIn: LinkedIn Company Jobs Scraper · Free LinkedIn Job Details from URL.