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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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NexGen Watch

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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: A distinct ATS platform from our Keka and RecruiterFlow actors. 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.

Who buys this

Buyers usually search for PageUp jobs or PageUp careers.

  • Recruiters and staffing agencies pulling PageUp jobs at target employers.
  • Job boards and aggregators adding PageUp careers as clean, deduplicated rows.
  • Sales and labour-market analysts using new postings as a hiring signal.

📊 Sample Output

PageUp Careers Jobs Exporter sample output — a table of real job record rows (tenant_id, job_id, title, location) from run MkXLMEgm0zHCJ0Gm5 on build 0.2.13

Real rows from run MkXLMEgm0zHCJ0Gm5 on build 0.2.13 (2026-09-28), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

tenant_idjob_idtitlelocationsummaryemployer
968537879Patron Services Operations ManagerBlacksburg, VirginiaJoin the Center for the Arts at VT as our Patron Services Operations MVirginia Tech
968536630Director of Foundation RelationsBlacksburg, Virginia, Hybrid, Washington, DCReporting to the Executive Director of LINK | Center for Advancing ParVirginia Tech
968536871Custodial Services WorkerBlacksburg, VirginiaJoin Custodial Services in Facilities!Virginia Tech
9685368722nd Shift Custodial Services WorkerBlacksburg, VirginiaJoin Custodial Services in Facilities!Virginia Tech
968537839Director of Marketing and Communications, College of Natural ResourcesBlacksburg, VirginiaThe Director of Marketing and Communications for the College of NaturaVirginia Tech
968537847Agricultural Specialist IIIBlackstone, VirginiaVirginia Tech's Southern Piedmont Agricultural and Research and ExtensVirginia Tech
968537904Part Time Research AssistantRoanoke, VirginiaThe ARRC at the Fralin Biomedical Research Institute in Roanoke, VA isVirginia Tech
968537914Assistant Director of Student Success ProgramsBlacksburg, VirginiaMake a Difference in the Lives of Engineering Students Join the CollegVirginia Tech

The run finished with the status message: NORMAL: 20 unique rows (0 duplicates collapsed). 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. 537879
  • title (string/null) — e.g. Patron Services Operations Manager
  • location (string/null) — e.g. Blacksburg, Virginia
  • closing_date (string/null) — e.g. October 11, 2026
  • summary (string/null) — e.g. Join the Center for the Arts at VT as our Patron Services Operations Manager and
  • job_url (string/null) — e.g. https://careers.pageuppeople.com/968/cw/en-us/job/537879/patron-services-operati
  • 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. 2026-09-28T04:34:13Z
  • 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

  • record_type (string) — e.g. pageup_job
  • tenant_id (string/null) — e.g. 968
  • job_id (string/integer/null) — e.g. 537824
  • title (string/null) — e.g. Assistant Professor
  • location (string/null) — e.g. Blacksburg, Virginia
  • closing_date (string/null) — e.g. September 28, 2026
  • summary (string/null) — e.g. The Department of Business Information Technology (BIT) in the Pamplin College o
  • job_url (string/null) — e.g. https://careers.pageuppeople.com/968/cw/en-us/job/537824/assistant-professor
  • 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. 2026-09-23T16:16:34Z
  • 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

  • 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": 10
}

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. If you leave maxRecords out, the run delivers at most 20 rows (the schema default); pass a number up to 2000000 for a bigger export. An explicit value is always honoured up to that maximum.

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 — about $250.02 on the Free tier ($0.02 start + 5000 × $0.05) if the source has that many; maxRecords goes up to 2000000.

4. A filtered run

{
"boards": [
{
"tenant": "968",
"employer": "Virginia Tech"
}
],
"maxRecords": 10,
"fieldMatch": {
"title": "Patron Services Operations Manager"
}
}

Keeps only rows whose title contains Patron Services Operations Manager (a value from the sample run above), matched case-insensitively after the source is read and before the maxRecords cap, so the cap counts matches and only delivered matches are billed. searchText does the same across every column. Zero matches end the run as EMPTY_SELECTION with no row charged — if the source has moved on since that sample run, pick a value you see in your own first run. The source is still read in full — this narrows what you receive and pay for, not what the source serves.

🧾 JSON sample record

One real record from run MkXLMEgm0zHCJ0Gm5, exactly as it lands in the dataset (emails masked, long text shortened):

{
"record_type": "pageup_job",
"tenant_id": "968",
"job_id": "537879",
"title": "Patron Services Operations Manager",
"location": "Blacksburg, Virginia",
"closing_date": null,
"summary": "Join the Center for the Arts at VT as our Patron Services Operations Manager and help shape the patron experience at the intersection of campus and community. This role blends leadership, operational oversight, and hands‑on house and rental",
"job_url": "https://careers.pageuppeople.com/968/cw/en-us/job/537879/patron-services-operations-manager",
"employer": "Virginia Tech",
"source": "pageup-jobs",
"release_date": null,
"source_url": "https://careers.pageuppeople.com/968/cw/en/listing/",
"observed_at": "2026-09-28T04:34:13Z",
"attribution": "Source: employer career sites hosted by PageUp (public, logged-out careers listing)."
}

🔧 How it works

Source. The actor reads careers.pageuppeople.com — endpoints: https://careers.pageuppeople.com. Public pages and feeds only; nothing behind a login.

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$0.045$0.04$0.0335

Worked at the live Free-tier price:

  • 8 job records: $0.02 start + 8 × $0.05 = $0.42
  • 20 job records: $0.02 start + 20 × $0.05 = $1.02
  • 25 job records: $0.02 start + 25 × $0.05 = $1.27

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). 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 20). 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 board scrapers 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.
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