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PageUp Careers Jobs Exporter

Pricing

from $33.50 / 1,000 job records

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PageUp Careers Jobs Exporter

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 link. Keyless, logged-out, robots-honoured. Pay per job.

Pricing

from $33.50 / 1,000 job records

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🧑‍💻 PageUp Careers Jobs Exporter

One structured job_record per publicly-listed opening from employer career sites hosted by PageUp — keyless, logged-out, robots-honored.

Difference: The first PageUp aggregator in the fleet — a distinct ATS platform from our Keka and RecruiterFlow cells. One normalized record per opening across one or many PageUp tenants — employer, title, location, summary, closing date, and the public job URL — read from the server-rendered careers listing table.

Output is one pageup_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). Source: careers.pageuppeople.com.

📊 Sample Output

PageUp Careers Jobs Exporter sample output — a table of real job record rows (tenant_id, job_id, title, location) from run dEEO6MTCG9rOcnDdn on build 0.2.3

Real rows from run dEEO6MTCG9rOcnDdn 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):

tenant_idjob_idtitlelocationsummaryemployer
968537707Library Service Center SpecialistBlacksburg, VirginiaThe University Libraries is looking for a Library Service Center SpeciVirginia Tech
968537583Research Laboratory TechnicianBlacksburg, VirginiaThe Weger lab is looking for a new full-time research technician!Virginia Tech
968537652Assistant Professor, Associate Professor, or ProfessorBlacksburg, VirginiaVirginia Tech is a comprehensive land-grant university located in BlacVirginia Tech
968535939Case Manager for Residential Well-beingBlacksburg, VirginiaWe’re currently searching for a Case Manager to join our Residential WVirginia Tech
968537675Catawba Sustainability Center Farm ManagerBlacksburg, VirginiaThe Catawba Sustainability Center is looking for an experienced farm mVirginia Tech
968537678AI & Emerging Literacies LibrarianBlacksburg, VirginiaThe University Libraries is looking for an AI & Emerging Literacies LiVirginia Tech
968537661Vice Provost for Workforce Partnerships and Professional LearningBlacksburg, Virginia, Washington, DCThe Vice Provost for Workforce Partnerships and Professional LearningVirginia Tech
968537461Parking Enforcement OfficerBlacksburg, VirginiaJoin Parking Services today!Virginia Tech

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. pageup_job
  • tenant_id (string/null) — e.g. 968
  • job_id (string/integer/null) — e.g. 537707
  • title (string/null) — e.g. Library Service Center Specialist
  • location (string/null) — e.g. Blacksburg, Virginia
  • closing_date (string/null) — e.g. September 30, 2026
  • summary (string/null) — e.g. The University Libraries is looking for a Library Service Center Specialist. Tak
  • job_url (string/null) — e.g. https://careers.pageuppeople.com/968/cw/en-us/job/537707/library-service-center-
  • employer (string/null) — e.g. Virginia Tech
  • source (string/null) — e.g. pageup-jobs
  • release_date (string/null) — null in every sample row
  • source_url (string/null) — e.g. https://careers.pageuppeople.com/968/cw/en/listing/
  • observed_at (string/null) — e.g. 2026-09-17T17:41:44Z
  • attribution (string/integer/null) — e.g. Source: employer career sites hosted by PageUp (public, logged-out careers listi
  • 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

What you get

One job_record per opening, deduplicated on tenant id + job id. A RUN_RECEIPT key-value record carries the tenants read, scope, attribution, and totals without polluting the customer dataset.

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": [
{
"tenant": "968",
"employer": "Virginia Tech"
}
],
"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": [
{
"tenant": "968",
"employer": "Virginia Tech"
}
],
"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

{
"boards": [
{
"tenant": "968",
"employer": "Virginia Tech"
}
],
"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 dEEO6MTCG9rOcnDdn, exactly as it lands in the dataset (emails masked, long text shortened):

{
"record_type": "pageup_job",
"tenant_id": "968",
"job_id": "537707",
"title": "Library Service Center Specialist",
"location": "Blacksburg, Virginia",
"closing_date": null,
"summary": "The University Libraries is looking for a Library Service Center Specialist. Take a look for a great opportunity!",
"job_url": "https://careers.pageuppeople.com/968/cw/en-us/job/537707/library-service-center-specialist",
"employer": "Virginia Tech",
"source": "pageup-jobs",
"release_date": null,
"source_url": "https://careers.pageuppeople.com/968/cw/en/listing/",
"observed_at": "2026-09-17T17:41:44Z",
"attribution": "Source: employer career sites hosted by PageUp (public, logged-out careers listing)."
}

🔧 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 tenant's listing (careers.pageuppeople.com/{tenant}/cw/en/listing/, which redirects to that tenant's real instance+locale) is fetched logged-out and parsed from the SSR results table. robots.txt disallows only admin/uat/ci/staging paths — never touched. Zero-auth: if any tenant's listing returns an auth challenge or a login page instead of the table, the run STOPS loudly for that tenant with no workaround. Delivery is bounded to maxRecords.

Source

https://careers.pageuppeople.com/{tenant}/cw/en/listing/ (robots: admin/uat/ci/staging disallowed; listing permitted)

Attribution

Source: employer career sites hosted by PageUp (public, logged-out careers listing).

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, logged-out pages and feeds published by careers.pageuppeople.com. 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 source (careers.pageuppeople.com) is read logged-out; 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 careers.pageuppeople.com. 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.

⭐ 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.