🧑‍💻 Oracle Recruiting Jobs Exporter

One structured job_record per open requisition across Oracle Recruiting Cloud career sites, from the keyless candidate-experience contract — zero-auth only.

Difference: One normalized record per open requisition on an Oracle Recruiting Cloud (ORC) career site — employer, tenant host, site number, requisition id, title, posted/posting-end dates, primary location + country, secondary locations, workplace type, job function/family/schedule, worker type, a short description, and the public job URL — normalized across tenants so one schema spans every board. Five tenants at birth (Vertiv, Wesco, DTCC, MUFG Pension & Market Services, Mycronic).

Output is one oracle_job row per result; billing is pay-per-event, the value event being one oracle recruiting jobs exporter record (a $0.02 start fee per run, then $0.05 per oracle recruiting jobs exporter record).

📊 Sample Output

Real rows from run Hl1ybcEq2R6cmtYi5 on build 0.2.3 (2026-09-17), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

employer	tenant_host	requisition_id	title	posted_date	primary_location
Vertiv	egup.fa.us2.oraclecloud.com	20276551	Presales Electrical Engineer	2026-09-14	Pelzer, SC, United States
Vertiv	egup.fa.us2.oraclecloud.com	20281630	Senior Project Manager	2026-09-14	Greenville, SC, United States
Vertiv	egup.fa.us2.oraclecloud.com	20281897	Presales Engineering Manager	2026-09-15	Pelzer, SC, United States
Vertiv	egup.fa.us2.oraclecloud.com	20282087	Presales Thermal Engineer	2026-09-16	Pelzer, SC, United States
Vertiv	egup.fa.us2.oraclecloud.com	20282089	Presales Thermal Engineer	2026-09-16	Pelzer, SC, United States
Vertiv	egup.fa.us2.oraclecloud.com	20282272	Global Account Director, Hyperscale	2026-09-17	San Francisco, CA, United States
Vertiv	egup.fa.us2.oraclecloud.com	20282280	Global Account Director, Global Strategic Accounts	2026-09-17	Boston, MA, United States
Vertiv	egup.fa.us2.oraclecloud.com	20260683	Mechanical Engineer	2026-09-11	Delaware, OH, United States

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. oracle_job
• employer (string/null) — e.g. Vertiv
• tenant_host (string/null) — e.g. egup.fa.us2.oraclecloud.com
• site_number (string/null) — e.g. CX
• requisition_id (string/null) — e.g. 20276551
• title (string/null) — e.g. Presales Electrical Engineer
• posted_date (string/null) — e.g. 2026-09-14
• posting_end_date (string/null) — null in every sample row
• primary_location (string/null) — e.g. Pelzer, SC, United States
• primary_location_country (string/null) — e.g. US
• secondary_locations (string/null) — e.g. WA, United States; Portland, OR, United States; Las Vegas, NV, United States; UT
• workplace_type (string/null) — null in every sample row
• job_function (string/null) — null in every sample row
• job_family (string/null) — null in every sample row
• job_schedule (string/null) — null in every sample row
• worker_type (string/null) — null in every sample row
• short_description (string/null) — e.g. Join Vertiv as AMER Presales Electrical Engineer in our Infrastructure Solutions
• job_url (string/null) — e.g. https://egup.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/20
• source (string/null) — e.g. oracle-recruiting-jobs-exporter
• release_date (string/null) — null in every sample row
• source_url (string/null) — e.g. https://egup.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/
• observed_at (string/null) — e.g. 2026-09-17T17:41:02Z
• 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 requisition, deduplicated on tenant host + site number + requisition id. A RUN_RECEIPT key-value record carries per-tenant counts, scope, 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)

{
  "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

{
  "maxRecords": 5
}

Caps the run at 5 rows — about $0.27 on the Free tier ($0.02 start + 5 × $0.05).

3. A full-size run

{
  "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 Hl1ybcEq2R6cmtYi5, exactly as it lands in the dataset (emails masked, long text shortened):

{
  "record_type": "oracle_job",
  "employer": "Vertiv",
  "tenant_host": "egup.fa.us2.oraclecloud.com",
  "site_number": "CX",
  "requisition_id": "20276551",
  "title": "Presales Electrical Engineer",
  "posted_date": "2026-09-14",
  "posting_end_date": null,
  "primary_location": "Pelzer, SC, United States",
  "primary_location_country": "US",
  "secondary_locations": null,
  "workplace_type": null,
  "job_function": null,
  "job_family": null,
  "job_schedule": null,
  "worker_type": null,
  "short_description": "Join Vertiv as AMER Presales Electrical Engineer in our Infrastructure Solutions team and play a key role in shaping the future of cutting-edge modular solutions for data centers, industrial facilities, and critical infrastructure at scale.",
  "job_url": "https://egup.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/20276551",
  "source": "oracle-recruiting-jobs-exporter",
  "release_date": null,
  "source_url": "https://egup.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/",
  "observed_at": "2026-09-17T17:41:02Z"
}

🔧 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 oracle recruiting jobs exporter 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

Reads the keyless, logged-out candidate-experience requisition JSON that every ORC site serves; pagination is bounded and apply / talent-community paths are never touched. This is an APP CONTRACT, not a promised API, and the risk is accepted ONLY at zero-auth: if any tenant's endpoint requires a cookie, key, or token at runtime — an auth challenge, a login/HTML body instead of JSON, or a gating cookie — the run STOPS with a loud report and no workaround is attempted. Each tenant's siteNumber is canaried; robots is honoured per host.

Source

https://{tenant}/hcmRestApi/resources/latest/recruitingCEJobRequisitions?finder=findReqs;siteNumber={site} (per tenant)

Attribution

Source: public Oracle Recruiting Cloud candidate-experience job postings of each named employer. Zero-auth contract only.

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

💰 Pricing example

Event	Free	Bronze	Silver	Gold
Actor Start (apify-actor-start)	$0.02	$0.02	$0.02	$0.02
Oracle Recruiting Jobs Exporter record (job_record)	$0.05	$0.04	$0.04	$0.03

Worked at the live Free-tier price:

• 8 oracle recruiting jobs exporter records: $0.02 start + 8 × $0.05 = $0.42
• 25 oracle recruiting jobs exporter records: $0.02 start + 25 × $0.05 = $1.27
• 5000 oracle recruiting jobs exporter 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.

⚖️ Legal & ToS

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 Oracle Recruiting Jobs Exporter. 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.

🔗 Related Actors

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• LinkedIn Job Postings API — Public Hiring Data — Query public LinkedIn job postings by role, location, employment type, and posting age. Receive normalized records through an Apify dataset or API. P…
• Manatal (careers-page.com) Job Feed — Any Employer Board — Manatal (careers-page.com) Job Feed — Any Employer Board
• PageUp Careers Jobs Exporter — One structured job record per publicly listed opening from employer career sites hosted by PageUp — title, employer, location, closing date, apply li…
• Paylocity Job Feed — Any Employer Board — One structured jobrecord per public posting on a Paylocity recruiting board. You supply boards as guid/slug (from the recruiting.paylocity.com URL);…
• PCRecruiter Jobs Scraper — One structured jobrecord per LIVE job posting from a public, logged-out ATS board. Public, robots-honoured
• 🏢 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.

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