PhD, Postdoc & Research Jobs Scraper — 12 Sources in 1

Claude / Codex skill to describe and setup this actor: SKILL.md

Every PhD, postdoc, academic, research, policy and NGO job board behind one endpoint, one run, one bill.

Most academic job scrapers cover a single portal. This one merges 12 of them, dedupes across all of them, and hands you a single flat dataset — so you stop running (and paying for) a dozen scrapers and stitching their output together yourself.

EURAXESS · jobs.ac.uk · UN Careers · ReliefWeb · Impactpool
Ikerbasque · U. of Copenhagen · Universitat de Barcelona
AcademicPositions · EURES · LinkedIn

Why this one

	This Actor	Typical single-portal scraper	Other academic aggregators
Sources	12	1	9 (EU only)
Coverage	EU + UK + global academia and UN / NGO / policy	one board	EU academia only
Cross-source dedupe	✅	n/a	✅
Price per 1,000 jobs	$3.00 all-in	$0.50 – $4.90	$4.00

No other Actor in the store combines academic boards and the UN / NGO / development-career sources (UN Careers, ReliefWeb, Impactpool). If you track research careers that cross between a university and an international organisation, this is the only single feed that sees both.

Pricing

Pay-per-event. You are billed by this Actor and nothing else — the sources run inside this Actor, so there are no hidden child-Actor fees stacked on top.

Event	Price
Actor start	$0.01 per run
Job result	$0.003 per unique job returned

$3.00 per 1,000 unique jobs. A default run (all boards, 20 jobs each) returns ~170 deduped postings and costs about $0.52.

One detail that keeps the bill honest:

• You pay per unique job. Cross-source duplicates are dropped before billing, not after. A posting that shows up on both EURAXESS and jobs.ac.uk is one charge, not two.

One exception: AcademicPositions needs a real browser to clear Cloudflare, so it runs as a separate child Actor and adds that Actor's own fees on top of this one's. It is off by default — tick it only if you want it.

Input

Everything is optional. Run it with {} and you get a sensible default sweep.

Field	Default	What it does
sources	all 11 in-process boards	Which boards to include.
keyword	—	Free-text filter, forwarded to the boards that support it (machine learning, climate, postdoc…).
maxItemsPerSource	20	Cap per board before merging.
maxItems	220	Hard cap on the merged output — and therefore on your bill. 0 = no cap.
mistralApiKey / anthropicApiKey	—	Optional keys retained for compatible source features; not needed for full-description extraction.

{
  "keyword": "machine learning",
  "sources": ["euraxess", "jobs_ac_uk", "un_careers", "eures"],
  "maxItemsPerSource": 25
}

Devex availability

Devex is excluded from the bundle until its canonical job pages can be fetched reliably. Search-result snippets and model reconstructions are not accepted as complete position descriptions.

Output

One flat, deduped row per posting:

{
  "source": "euraxess",
  "id": "123456",
  "title": "Postdoctoral Researcher in Machine Learning",
  "company": "KU Leuven",
  "location": "Leuven, Belgium",
  "url": "https://euraxess.ec.europa.eu/jobs/123456",
  "postedAt": "2026-07-10",
  "deadline": "2026-08-31",
  "description": "The complete position description...",
  "snippet": "The complete position description...",
  "salary": ""
}

Field	Meaning
source	Which board the record came from, e.g. "euraxess"
id	Stable source-side identifier ("" when the board has none)
title	Job title as posted
company	Hiring organisation
location	Location / duty station (may include remote hints)
url	Direct link to the posting — also the cross-source dedupe key
postedAt	Posting date where the board provides it, else ""
deadline	Application deadline — populated by euraxess, jobs_ac_uk, un_careers, reliefweb, math_ku_phd, ub_doctoral; the others return ""
description	Complete posting description; records without one are omitted
snippet	Backward-compatible alias of the complete description
salary	Salary text — only jobs_ac_uk populates this today; the others return ""
hiringContactName	LinkedIn rows: person named as the job poster (null elsewhere)
hiringContactTitle	That person's LinkedIn headline
hiringContactUrl	Their LinkedIn profile URL

Fields a board doesn't provide come back as "", never missing — so the schema stays stable across all 11 boards. Warning rows carry an extra warning field, with every other field null.

Run it from your own code

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("nomad-agent/researcher-bundle").call(
    run_input={"keyword": "postdoc", "maxItems": 50}
)
for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["title"], "—", job["company"], "—", job["url"])

Typical uses

• Job-alert products — schedule full-snapshot runs and compare the rows downstream before piping alerts into email, Telegram or Slack.
• Academic labour-market research — one dataset spanning EU, UK and international-organisation research posts.
• Recruiting and talent mapping — see who is hiring researchers, where, and on what deadline cadence.

Reliability

Every board fails open: if one is down or slow, the run still returns everything the others found, and the failing board is named in the log. A run that hits an unexpected error still finishes SUCCEEDED carrying a diagnostic row, rather than failing and losing the results you already paid for.

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