EURES Jobs Scraper

Stop re-checking EURES by hand: get only the new jobs for your searches every morning, in a sheet, Slack or your own job board. Search EURES (the EU and EEA) by keyword or location and get every matching job as clean JSON with the salary split into min / max / interval; schedule it and each run marks which jobs are new since your last run.

Don't know which companies to watch? The Greenhouse Jobs Scraper searches 4,800 companies by job title, with no company names needed, and reports exactly which matching roles are new or closed each run.

How "new since last run" works

The Actor remembers which jobs each search returned last time. A job it has not seen before is marked isNewSinceLastRun: true. If the whole search fits within Max jobs, the comparison is exact and jobs that disappeared come back as type: "closed" rows. If the search is bigger than Max jobs, a job only counts as new when it was also posted after your previous run, so an old job that merely moved into view is never reported as new.

Filters (title, location text, salary, remote) never change the comparison, so changing a filter never makes jobs look new.

What you get

Field
title, company, companyWebsite	as posted, in the language of the ad (language)
countryCode, countryCodes, regionCodes	the workplace country (ISO code) and the EU NUTS region codes (DE734) — join them to Eurostat's NUTS tables for region names
employmentType, positionOffering, numberOfPosts	full or part time; directhire, temporary, contract, apprenticeship…; how many people the employer is hiring
euresFlag	true when the employer marked the vacancy as open to candidates from other EU/EEA countries
occupationUris	the ESCO occupation of the vacancy (the EU's occupation taxonomy)
postedAt, updatedAt	when the vacancy was created and last updated on EURES (exact times)
description, source	the full job text (in the list itself — no extra request per job); the source, as the EURES re-use notice asks
isNewSinceLastRun	true / false, or null on the first run (unknown, not "old")
jobUrl	link to the job on EURES
search	which of your searches returned it

Contact persons, phone numbers and e-mail addresses are never returned. Source: EURES, European Labour Authority (ELA) — re-use is authorised provided ELA is acknowledged as the source.

Input

Put one search per line in Searches (e.g. nurse) and optionally a Location (e.g. Germany). Location takes a country name or its two-letter code (Germany, DE, Ireland). Leave it empty for every country. Keywords match the text in any language, so local words (Krankenpfleger, infirmier) find more. Posted within takes 3 or 7 days on the portal; 1 day is cut here. The portal asks for one request every 10 seconds: a page of 50 jobs every 10 seconds. Many searches in one run are cheaper than one run each.

A search the site refuses comes back as an error row and the run carries on. When the job board itself is down or failing (HTTP 5xx or no answer), the error row says so and carries sourceDown: true, so you can tell it from a problem in this Actor; nothing is charged for what could not be read.

Get only the new jobs every morning (3 steps)

1. Open this Actor in Apify Console, fill in your searches, set What to return to Only jobs that are new since the last run, and click Save as a new task.
2. On the task, add a Schedule, for example daily at 07:00.
3. Open the task's Integrations tab and connect Slack, email, Google Sheets (or Zapier / Make / a webhook). Each morning you get only the new jobs.

You pay only for the new jobs plus $0.01 per run, so a quiet day costs about a cent. When you export by hand, pick the Jobs view: 12 tidy columns, title first, instead of every raw field.

Pricing

$0.80 per 1,000 jobs, plus $0.01 per run. Closed-job rows and errors are free. With Only jobs that are new since the last run, a daily schedule only pays for the new ones.

For AI agents

For a fast answer call with {"searches": ["nurse"], "maxJobsPerSearch": 20, "includeDescription": false}. It takes a few seconds. The defaults (up to 200 jobs with full descriptions) can take about 2 minutes, which is longer than many agent tool timeouts. Each row has type: job, closed or error. isNewSinceLastRun: null means "no previous run to compare with".

Same filters on every site (10/2026): experience level (read from the title: intern → executive, returned as a seniority column) and employment type (the site's own words normalised into full-time / part-time / contract / temporary / internship, returned as employmentTypes). They only narrow what is returned, with no extra requests and no extra cost.

Zero rows is never ambiguous. The run's status message says why, per search, e.g. "zzz": no results on the site, results found but all removed by your filters or nothing new since the last run, and the OUTPUT record in the run's key-value store has the same as JSON: perSearch[].status is ok, no-results, all-filtered, nothing-new or error, with listed, read, returned, new and closed. Set summaryRows: true to get it as free type: "summary" rows instead.

Same core columns on every northbell job scraper (15 job sites + 10 company-career-page scrapers), so you can stack them into one table: jobId, title, company, location, countryCode (ISO, job sites), remote (true / false / null), employmentType (the site's own words), postedAt, jobUrl, salaryMin, salaryMax, salaryCurrency, salaryInterval, isNewSinceLastRun. Unknown is null, never a guess.

More job scrapers from northbell

Job sites: SEEK · Instahyre · Reed · InfoJobs · XING · Dice · HelloWork · Computrabajo · Foundit · jobs.ch · Arbeitsagentur · Arbeitnow · Remote OK · We Work Remotely.

Company career pages with exact new/closed tracking: Greenhouse · Lever · Workday · AI companies.