
Jobindex Scraper
hipersoft/jobindex-scraper
Scrape Danish job listings from Jobindex (jobindex.dk): title, company, website, rating, address with GPS, apply link, ad text, posted date and deadline. Search by keyword, region or any Jobindex search link. Export CSV/JSON.
Total users
2Monthly users
1Total runs
30Per job
$0.0015Last rebuilt
Oct 26, 2026Overview
Jobindex Scraper extracts job listings from Jobindex (jobindex.dk), Denmark's largest job portal with 17,000+ open positions (ledige job). Every job includes the title, company, company website, Jobindex company rating and review count, followers, full address with zip code and GPS coordinates, direct apply link, ad text, posted date and application deadline. Search by keyword and region, or paste any Jobindex search link, and export to CSV, Excel or JSON.
What does Jobindex Scraper do?
Jobindex collects jobs from Danish employers, recruiters and the public sector in one place. This scraper turns any Jobindex search into a clean dataset:
- 🇩🇰 Search any keyword in Danish or English: python, sygeplejerske, økonomi, chauffør, projektleder.
- 📍 Filter by region: Storkøbenhavn, Nordsjælland, Region Sjælland, Fyn, Nordjylland, Midtjylland, Sydjylland, Bornholm, plus Skåne, Greenland, the Faroe Islands and jobs abroad.
- 🔗 Paste any Jobindex search link to reuse your own category and filter combinations.
- 🏢 Company details: name, website, Jobindex profile, logo, followers, star rating and number of reviews.
- 🗺️ Address, zip code and GPS coordinates for every job location.
- ✉️ Direct apply link to the employer's application form.
- 📅 Posted date and application deadline, with a posted within filter for daily monitoring.
- 📈 Large searches split automatically by region, so you can collect far more than the 1,000 jobs a single search shows.
What data can you scrape from Jobindex?
| Field | Description |
|---|---|
| Job ID, title, link | Jobindex job ID and job page |
| Company | Name, ID, website, profile, logo |
| Company rating | Star rating and number of employee reviews |
| Followers | Company followers on Jobindex |
| Location | Area, street address, zip code, city |
| Coordinates | Latitude and longitude |
| Remote | Home-workplace jobs |
| Ad text | The job ad's intro text |
| Apply link | Employer's application form |
| Dates | Posted date, last listed date, application deadline |
Use cases for Danish job data
- Recruiters and staffing agencies (rekruttering): find Danish companies hiring for specific roles and regions.
- B2B sales prospecting: hiring companies are growing companies, which makes them good leads for HR, IT and consulting services.
- Labor-market and salary research: track demand for IT, healthcare, engineering and finance roles across Denmark.
- Job aggregators and newsletters: publish fresh Danish jobs automatically every day.
- Employer branding: compare company ratings and follower counts of competing employers.
- Geo analysis: map jobs by coordinates and region.
How to scrape Jobindex
- Click Try for free to open Jobindex Scraper in Apify Console.
- Enter search keywords (or leave empty for all jobs).
- Optionally pick regions, posted within and sort order, or paste Jobindex search links.
- Set Max jobs and click Start.
- Download the jobs as CSV, Excel or JSON.
Input
Example input
{
"keywords": ["python", "sygeplejerske"],
"regions": ["storkoebenhavn", "region-midtjylland"],
"postedWithin": "7",
"sortBy": "date",
"maxItems": 500
}
| Field | Description |
|---|---|
| Search keywords | Danish or English keywords. One search each. Leave empty for all jobs. |
| Regions | Danish regions plus Skåne, Greenland, Faroe Islands and abroad. |
| Posted within | Last day, 7, 14 or 30 days. |
| Sort by | Relevance or newest first. |
| Jobindex search links | Any jobindex.dk search link. Overrides keywords and regions. |
| Max jobs | Stop after this many jobs (0 = no limit). |
Output
Job example
{
"jobId": "h1703847",
"title": "Platformsudvikler til platformteam med fokus på at understøtte fremtidens digitale energimarked",
"company": "Energinet",
"companyId": 122,
"companyWebsite": "https://energinet.dk/",
"companyProfile": "https://www.jobindex.dk/virksomhed/122/energinet",
"companyLogo": "https://www.jobindex.dk/img/logo/energinet-vp.png",
"companyFollowers": 4345,
"companyRating": 5,
"companyRatingCount": 339,
"url": "https://www.jobindex.dk/vis-job/h1703847",
"applyUrl": "https://candidate.hr-manager.net/ApplicationForm/SinglePageApplicationForm.aspx?cid=316&ProjectId=188886&DepartmentId=21677&MediaId=5&apply_with=jobdk",
"area": "Fredericia",
"address": "Tonne Kjærsvej 65, 7000 Fredericia",
"zipcode": "7000",
"city": "Fredericia",
"latitude": 55.5354974,
"longitude": 9.6979607,
"remote": false,
"teaser": "Vil du være en del af et platformteam, der understøtter udviklings-teams i at levere løsninger til fremtidens digitale energimarked?…",
"postedAt": "2026-10-02",
"lastSeenAt": "2026-10-26",
"applyDeadline": "2026-10-26T22:59:59Z",
"applyAsap": false,
"search": "python"
}
Output schema
| Field | Type | Description |
|---|---|---|
jobId |
string | Jobindex job ID. |
title |
string | Job title. |
company, companyId |
string, number | Employer. |
companyWebsite, companyProfile, companyLogo |
string (URL) | Employer links. |
companyFollowers |
number | Followers on Jobindex. |
companyRating, companyRatingCount |
number | Star rating (1–5) and review count. |
url |
string (URL) | Job page. |
applyUrl |
string (URL) | Employer's application form. |
area, address, zipcode, city |
string | Location. |
latitude, longitude |
number | Coordinates. |
remote |
boolean | Home-workplace job. |
teaser |
string | Job ad intro text. |
postedAt, lastSeenAt |
string (date) | First and last listed date. |
applyDeadline |
string (ISO date) | Application deadline. |
applyAsap |
boolean | Hiring as soon as possible. |
search |
string | Search that found the job. |
scrapedAt |
string (ISO date) | When the row was collected. |
How much does it cost to scrape Jobindex?
Jobindex Scraper uses pay-per-job pricing: a small fixed price per job with no start fee, and automatic discounts on higher Apify plans. See the Pricing tab for the exact price.
More job data
- LinkedIn Jobs Scraper: jobs from LinkedIn, including Denmark.
- Indeed Scraper: jobs from Indeed.
- Arbeitsagentur Jobs Scraper: jobs from Germany's federal job board.
FAQ
Can I search in Danish? Yes. Danish and English keywords both work, and job texts are returned exactly as published.
How many jobs can I get? A single Jobindex search shows up to 1,000 jobs. When you search without a region, the scraper automatically splits big searches by region to go past that limit. Leave keywords empty and set Max jobs to 0 for all listed jobs.
Can I use my own filters? Yes. Set up a search on jobindex.dk with any categories and filters, then paste the link into Jobindex search links.
How do I monitor new jobs every day? Set Posted within to Last day, Sort by to Newest first, and schedule the scraper daily.
What formats can I export? CSV, Excel, JSON, XML, HTML and RSS, or read the results through the Apify API.
Can I integrate Jobindex Scraper with other apps? Jobindex Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JS/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.
Is it legal to scrape Jobindex? The scraper only collects publicly listed job offers. You are responsible for using the data in line with Jobindex's terms and the GDPR.
Notes
Original clean-room implementation. Returns only public data; you are responsible for compliance with Jobindex's terms. Not affiliated with Jobindex.
Input
| Field | Type | Description |
|---|---|---|
keywordsSearch keywords | array | Job titles or skills in Danish or English, e.g. python, sygeplejerske, økonomi, chauffør. Each keyword is a separate search. Leave empty for all jobs. |
regionsRegions | array | Only jobs in these regions. Each region is a separate search. Leave empty for all of Denmark. |
postedWithinPosted within | string · , 1, 7, 14, 30 | Only jobs posted recently. |
sortBySort by | string · score, date | Result order. Default: "score" |
startUrlsJobindex search links | array | Optional. Paste any jobindex.dk search link (with your own filters, categories or regions). When set, keywords and regions are ignored. |
maxItemsMax jobs | integer | Stop after this many jobs. 0 means no limit. Default: 200 |
proxyConfigurationProxy configuration | object | Not required for normal use. Default: {"useApifyProxy": false} |
API
curl -X POST "https://api.apify.com/v2/acts/hipersoft~jobindex-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"keywords": [
"python"
],
"maxItems": 50
}'from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/jobindex-scraper").call(run_input={
"keywords": [
"python"
],
"maxItems": 50
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/jobindex-scraper').call({
"keywords": [
"python"
],
"maxItems": 50
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);Pricing
| Event | Price | Paid plans from |
|---|---|---|
| Job One Jobindex job listing scraped | $0.0015 | $0.0008 |
You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.
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