Flair Hosted Jobs avatar

Flair Hosted Jobs

Pricing

from $33.50 / 1,000 job records

Go to Apify Store
Flair Hosted Jobs

Flair Hosted Jobs

One structured jobrecord per record from the official public source, logged-out. Public, robots-honoured.

Pricing

from $33.50 / 1,000 job records

Rating

0.0

(0)

Developer

NexGen Watch

NexGen Watch

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

Share

🧑‍💻 Flair Hosted Jobs

One structured job_record per record from the official public source, logged-out. Public, robots-honoured.

Difference: one job_record per OPEN position across public {tenant}.careers.flair.hr boards — normalized title, location, department, employment type, and salary only when the board publishes it. Deduped per tenant on the source job id; closed positions excluded.

Output is one flair_job row per result; billing is pay-per-event, the value event being one job record (a $0.02 start fee per run, then $0.05 per job record).

No login, no API key and no CAPTCHA solving are involved: the source is read logged-out with an identified contact User-Agent.

📊 Sample Output

Flair Hosted Jobs sample output — a table of real job record rows (job_id, title, employment_type, created_date) from run HB0N8hMAbL5uKsgbk on build 0.1.8

Real rows from run HB0N8hMAbL5uKsgbk on build 0.1.8 (2026-09-17), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

job_idtitleemployment_typecreated_datetenantsource_board
a1kc4000002Y1oXAASRegional Sales Leader - Bern 100%Permanent2026-01-29T21:25:21.000Zpropertihttps://properti.careers.flair.hr/
a1kc4000002Y1q9AACRegional Sales Leader - Solothurn 100%Permanent2026-01-29T21:25:42.000Zpropertihttps://properti.careers.flair.hr/
a1kc4000002Y1rlAACRegional Sales Leader - Luzern 100%Permanent2026-01-29T21:26:04.000Zpropertihttps://properti.careers.flair.hr/
a1kc4000002Y1tNAASRegional Sales Leader - Schwyz 100%Permanent2026-01-29T21:27:18.000Zpropertihttps://properti.careers.flair.hr/
a1kc4000002Y1uzAACRegional Sales Leader - Glarus 100%Permanent2026-01-29T21:27:37.000Zpropertihttps://properti.careers.flair.hr/
a1kc4000002Y1wbAACRegional Sales Leader - Zug 100%Permanent2026-01-29T21:27:52.000Zpropertihttps://properti.careers.flair.hr/
a1kc40000039nZGAAYSelbständiger Immobilienmakler - Region ChurPermanent2026-05-18T21:03:38.000Zpropertihttps://properti.careers.flair.hr/
a1kc40000039narAAASelbständiger Immobilienmakler - Region SchwyzPermanent2026-05-18T20:49:48.000Zpropertihttps://properti.careers.flair.hr/

The run finished with the status message: NORMAL: 20 unique rows (0 duplicates collapsed) from None. billable=20

✅ What you get

Each row is flat JSON with these fields (from the dataset schema and the sample run; a field the source does not publish for a given row is null):

  • record_type (string) — e.g. flair_job
  • job_id (string/null) — e.g. a1kc4000002Y1oXAAS
  • title (string/null) — e.g. Regional Sales Leader - Bern 100%
  • department (string/null) — e.g. Sales
  • employment_type (string/null) — e.g. Permanent
  • time_commitment (string/null) — e.g. 100%
  • location (string/null) — e.g. Bern
  • industry (string/null) — null in every sample row
  • seniority (string/null) — null in every sample row
  • category (string/null) — null in every sample row
  • created_date (string/null) — e.g. 2026-01-29T21:25:21.000Z
  • language (string/null) — e.g. de
  • salary (string/null) — null in every sample row
  • tenant (string/null) — e.g. properti
  • source_board (string/null) — e.g. https://properti.careers.flair.hr/
  • job_url (string/null) — e.g. https://properti.careers.flair.hr/position/a1kc4000002Y1oXAAS
  • source (string/null) — e.g. flair-hosted-jobs
  • release_date (string/null) — null in every sample row
  • source_url (string/null) — e.g. https://flair.careers.flair.hr/
  • observed_at (string/null) — e.g. 2026-09-17T17:19:34Z
  • terminal (string/integer/null) — null in every sample row
  • reported_total (string/integer/null) — null in every sample row
  • raw_seen (string/integer/null) — null in every sample row
  • duplicates (string/integer/null) — null in every sample row
  • unique_found (string/integer/null) — null in every sample row
  • delivered (string/integer/null) — null in every sample row
  • scope (string/integer/null) — null in every sample row
  • note (string/integer/null) — null in every sample row
  • license (string/integer/null) — null in every sample row
  • attribution (string/integer/null) — null in every sample row

What you get

One job_record per entity, deduplicated on the source-native id. Fields the source does not publish are honest null. A run_receipt row carries the source URL, scope, reconciliation counts, and delivered/duplicate totals.

Every run also writes a RUN_RECEIPT record to its key-value store with the source checks it made and the counts it charged — diagnostics never land in the paid dataset.

⚙️ Sample inputs

1. Quick start — the Store example (this is what the sample above came from)

{
"boards": "properti",
"maxRecords": 20
}

The sample run charged exactly: 1 × $0.02 apify-actor-start + 20 × $0.05 job_record = $1.02 on the Free tier — every delivered row was billed.

2. A smaller, narrowed run

{
"boards": "properti",
"maxRecords": 5
}

Caps the run at 5 rows — about $0.27 on the Free tier ($0.02 start + 5 × $0.05). boards narrows what the source is asked for.

3. A full-size run

{
"boards": "properti",
"maxRecords": 5000
}

Up to 5000 rows (the schema default for maxRecords) — about $250.02 on the Free tier ($0.02 start + 5000 × $0.05) if the source has that many.

🧾 JSON sample record

One real record from run HB0N8hMAbL5uKsgbk, exactly as it lands in the dataset (emails masked, long text shortened):

{
"record_type": "flair_job",
"job_id": "a1kc4000002Y1oXAAS",
"title": "Regional Sales Leader - Bern 100%",
"department": "Sales",
"employment_type": "Permanent",
"time_commitment": "100%",
"location": "Bern",
"industry": null,
"seniority": null,
"category": null,
"created_date": "2026-01-29T21:25:21.000Z",
"language": "de",
"salary": null,
"tenant": "properti",
"source_board": "https://properti.careers.flair.hr/",
"job_url": "https://properti.careers.flair.hr/position/a1kc4000002Y1oXAAS",
"source": "flair-hosted-jobs",
"release_date": null,
"source_url": "https://flair.careers.flair.hr/",
"observed_at": "2026-09-17T17:19:34Z"
}

🔧 How it works

Transport. Plain HTTPS from the Apify platform, no proxy. robots.txt is read first and a disallowed path is never fetched. Every request carries an identified contact User-Agent. Pacing: CRAWL_DELAY=0.0.

Charging. Each job record is charged at the moment it is pushed (job_record); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

How it behaves

Each comma-separated tenant board is fetched (robots Allow-all platform-wide) and its openPositionsQuery.positions payload parsed; only closed=false positions are emitted. A board that returns no positions payload is a schema canary and fails loud for that board; an empty open-position list is a valid empty board. Deduped per tenant, bounded to maxRecords.

Source

https://{tenant}.careers.flair.hr/

What is not done. No login, no cookie or CAPTCHA bypass, no private or personal-account data, no browser automation.

💰 Pricing example

EventFreeBronzeSilverGold
Actor Start (apify-actor-start)$0.02$0.02$0.02$0.02
Job Record (job_record)$0.05$0.04$0.04$0.03

Worked at the live Free-tier price:

  • 8 job records: $0.02 start + 8 × $0.05 = $0.42
  • 25 job records: $0.02 start + 25 × $0.05 = $1.27
  • 5000 job records: $0.02 start + 5000 × $0.05 = $250.02

A run that delivers zero rows charges the $0.02 start fee only. A BLOCKED run (source refused) fails loud and charges no value event. The start fee is charged once per GB of run memory; the default run memory is 1024 MB.

Yield on the sample run: NORMAL: 20 unique rows (0 duplicates collapsed) from None. billable=20. maxRecords is a hard ceiling on what is delivered and billed, never a target.

This actor reads public data only. It collects only what the source publishes to any visitor, keeps to the source's robots rules (checked on every run), identifies itself with a contact User-Agent, and does not access accounts, private data or anything behind authentication. Use the output in line with the source's terms and your local law; the intended use is B2B research and monitoring.

❓ FAQ

Q: Do I need an API key or a login?
A: No. the input schema has no key field and the actor carries no secrets.

Q: Why did my run return 0 rows?
A: Read the run's status message. GENUINE_EMPTY means the source was read and had nothing in scope for your input; BLOCKED means the source refused and the run failed without billing a value event — retry later or narrow the input. A zero-row run bills the start fee only.

Q: How many rows can one run return?
A: Up to maxRecords (default 5000). Raise the cap for a bigger run; you pay per delivered row.

Q: How fresh is the data?
A: Every run reads the source live at run time; nothing is cached between runs. Put it on a schedule for a continuous feed.

Q: What formats can I export?
A: The dataset downloads as JSON, CSV, Excel, XML or RSS from the run's Dataset tab or the Apify API, and any run can push to a webhook or integration.

Q: How is this different from the other ATS job feeds actors?
A: Same output shape and billing model; this one covers Flair Hosted Jobs. The siblings under Related Actors cover the other sources or slices — run several on one schedule for a combined feed.

Q: Are there rate limits?
A: The actor paces itself against the source (CRAWL_DELAY=0.0) and honours its robots rules; there is no per-buyer limit beyond your Apify plan's concurrency.

🆘 Troubleshooting

  • Run FAILED with BLOCKED → the source refused the request or changed its page shape → nothing was billed beyond the start fee; retry after a while, and if it persists open an Issue with the run id.
  • Status says CAPPED → your cap (maxRecords) was reached → raise it for a bigger run.
  • Input validation error on start → a field is outside the schema's allowed values → start from the Quick start block and change one field at a time.
  • Run TIMED-OUT → a very wide request on a slow day → raise the run timeout in Run options or narrow the input; what was delivered before the timeout is still in the dataset.
  • BreezyHR Job Feed — Any Employer Board — Scrape jobs from any BreezyHR employer careers board. One structured record per public posting — title, location, type, link. No API key; pay per job
  • CATS ATS Jobs Scraper — One structured jobrecord per record from the official public source, logged-out. Public, robots-honoured
  • Comeet Job Feed — Any Employer Board — Scrape jobs from any Comeet employer careers board. One structured record per public posting — title, department, location, link. No API key; pay per…
  • HireBridge Jobs Scraper — One structured jobrecord per LIVE job posting from a public, logged-out ATS board. Public, robots-honoured
  • JazzHR Job Feed — Any Employer Board — Scrape jobs from any JazzHR employer careers board. One structured record per public posting — title, location, link. No API key; pay per job
  • Jobvite Job Feed — Any Employer Board — One structured jobrecord per public posting on a Jobvite employer board. You supply a tenant (or list of tenants); the actor reads that board's publi…
  • 🏢 About NexGenData — NexGen Watch is NexGenData's fleet of 256 public monitoring and lookup actors built on official sources, pay-per-result. Browse the catalog at apify.com/nexgenwatch.

⭐ Found this useful?

If this actor saved you a manual check, a quick review on the Apify Store helps other teams find it. Feature request or a source that changed? Open it from the Issues tab — every one is read.